Περιοδικά

@article{kosmidis2026association,

title = {Association patterns among patient-reported adverse events in advanced NSCLC: A post-hoc analysis of the CLIMEDIN randomized controlled trial},

author = {Paris A. Kosmidis and Thanos Kosmidis and Kyriaki Papadopoulou and Nikolaos Korfiatis and Athanassios Vozikis and Sofia Lampaki and Panagiota Economopoulou and Elena Fountzilas and Athina Christopoulou and E. Samantas and Anastasios Vagionas and Giannis S. Mountzios and Georgios Gkoumas and Nikolaos Tsoukalas and Ilias Athanasiadis and Dimitrios Bafaloukos and C Panopoulos and George Fountzilas and Georgios Petrakis and Helena Linardou},

url = {https://doi.org/10.1200/jco.2026.44.16_suppl.e23271},

doi = {10.1200/jco.2026.44.16_suppl.e23271},

year  = {2026},

date = {2026-01-01},

journal = {Journal of Clinical Oncology},

volume = {44},

number = {16_suppl},

pages = {e23271},

publisher = {Lippincott Williams & Wilkins},

abstract = {e23271 Background: CLIMEDIN was a randomized controlled trial of digital support for patients with advanced or metastatic non-small cell lung cancer. Patients received either general adverse event (AE) information (control arm), or personalized support depending on their reported AEs (intervention arm). Given the statistically significant difference found between the AEs reported digitally by patients and those captured directly by clinicians, this post-hoc analysis aims to identify patterns of likely co-occurrence of AEs. Methods: Between March 2022 and December 2024, 188 patients submitted 7046 reports among 22 preselected AEs, captured in the CareAcross platform database. For this analysis these reports were de-identified and structured based on the specific AEs they contained. Association rule mining (apriori algorithm with support thresholds) was used to calculate the conditional probability of an AE subset (“Associated AEs”) being reported given that another subset (“Index AEs”) was reported concurrently. Results: The analysis resulted in 7846 pairs of Associated & Index AE subsets, with up to 7 AEs per subset. The conditional probability of co-occurrence (“Confidence”) ranged from 2.5% to 100%.To make the patterns clinically meaningful and practical, analyses were restricted to subsets of 1-2 AEs, resulting in 1870 combinations. Keeping the pairs with probability > = 80% resulted in 110 records (37 of which with > = 90% probability).The majority (78/110 or 71%) of Associated AEs included Fatigue.Among the AEs that are not immediately available upon clinical examination: Anorexia was correlated with combinations containing dyspnea (with any of rash, constipation, dysphagia, dysgeusia, diarrhea) as well as dysphagia & weight loss. Dysgeusia was correlated with combinations containing anorexia (with any of pruritus, diarrhea), diarrhea (with any of cough, anorexia, dry skin), stomatitis (with any of dry skin, cough) and more.The full list of associations is available upon request.The Table contains the most frequently occurring pairs of 1 or 2 AEs that do not include Fatigue. Conclusions: Analysis of Patient-Reported Outcomes can provide relevant Real World Evidence to support clinicians in completing the view of their patients’ journeys. This can be particularly applicable when information is missing, or AEs cannot be readily evaluated clinically.Data Science and Artificial Intelligence can further help derive actionable insights for clinical care and research. Clinical trial information: 05372081 . Index AEs Associated AEs Confidence (%) Peripheral Neuropathy, Chest Pain Dry Skin 94.7 Dyspnea, Rash Anorexia 93.7 Peripheral Neuropathy, Bone Pain Dry Skin 92.1 Anorexia, Pruritus Dysgeusia 88.7 Peripheral Neuropathy, Chest Pain Bone Pain 88.4 Cough, Diarrhea Dysgeusia 88.2 Weight Loss, Dysphagia Anorexia 88.1 Cough, Diarrhea Dry Skin 87.5 Dyspnea, Rash Dysgeusia, Anorexia 86.3},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{razis2026brain,

title = {Brain as a site of first recurrence after adjuvant therapy for early breast cancer: Mining the Hellenic Cooperative Oncology Group database. The BRACE study},

author = {E. D. Razis and K. Papadopoulou and Nikolaos Korfiatis and C. Christodoulou and H. P. Kourea and A. Goussia and O. Tzaida and A. Batistatou and A. Mamilos and C. Markopoulos and V. Venizelos and G. Xepapadakis and P. Skarlos and G. Pentheroudakis and D. Pectasides and A. Koutras and A. Christopoulou and A. Psyrri and H. Gogas and F. Zagouri and G. Fountzilas},

year  = {2026},

date = {2026-01-01},

journal = {Breast Cancer Research and Treatment},

keywords = {},

pubstate = {forthcoming},

tppubtype = {article}

}

@article{lakis2026clinico,

title = {Clinico-pathological and genomic features of HER2-low early Breast Cancer (eBC). Results of retrospective analysis of seven adjuvant trials by the Hellenic Cooperative Oncology Group (HeCOG)},

author = {Sotirios Lakis and Eleftheria Tsolaki and Nikolaos Korfiatis and A. Goussia and H. P. Kourea and A. Batistatou and Mattheos Bobos and Kyriaki Papadopoulou and Antonia Charchanti and M. Bai and Olympia Tzaida and K. Petraki and P. Arapantoni and T. Koletsa and D. Pectasides and A. Koutras and D. Kalapanida and F. Dimitrakopoulos and E. Aravantinou-Fatorou and N. Spathas and A. Psyrri and H. Gogas and Flora Zagouri and G. Fountzilas},

url = {https://doi.org/10.1158/1557-3265.sabcs25-ps4-01-20},

doi = {10.1158/1557-3265.sabcs25-ps4-01-20},

year  = {2026},

date = {2026-01-01},

journal = {Clinical Cancer Research},

volume = {32},

number = {4_Supplement},

publisher = {American Association for Cancer Research},

address = {San Antonio, Texas},

abstract = {Background: HER2-low breast cancers are a mixture of luminal and triple negative tumors. Precise molecular characterization can help refine treatment strategies with novel antibody-drug conjugates and improve outcomes in this patient subgroup. Methods: We used central ER/PgR (HR) and HER2/ERBB2 IHC/FISH assessment to define HER2-low (IHC 1+ or 2+/FISH non-amplified), HER2-zero (IHC 0) and Luminal A/ Luminal B/ TNBC subtypes across 7 prospective adjuvant studies in which eBC patients were treated with dose dense sequential chemotherapy. Retrospective analysis of clinico-pathological data and IHC markers from tissue microarray cores was performed on N=2,751 cases, whereas DNA next generation sequencing (NGS) data were available in a subset of N=1,120 tumors. Heterogeneity was investigated by comparing HER2-low concordant (HER2-low_c) cases, when all cores were scored consistently as HER2-low (>0) and HER2-low discordant (HER2-low_d) cases, when at least one core was scored “0”. Results: First, HER2-low tumors were more likely to be HR + (p<0.001). Second, within HR + disease only, the proportion of Luminal B was higher in HER2-low (51%) than HER2-zero (41.6%), whereas Luminal A showed the opposite pattern (p< 0.001); PIK3CA mutations on the other hand were more common in HER2-zero (33.6% vs. 24.7%},

note = {Conference abstract PS4-01-20},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kosmidis2026comprehensive,

title = {Comprehensive molecular profiling of advanced NSCLC in Greek patients:A prospective HeCOG study},

author = {Paris A. Kosmidis and Thanos Kosmidis and Kyriaki Papadopoulou and Nikolaos Korfiatis and Athanassios Vozikis and Sofia Lampaki and Panagiota Economopoulou and Elena Fountzila and Athina Christopoulou and E. Samantas and Anastasios Vagionas and Giannis Mountzios and Georgios Gkoumas and Nikolaos Tsoukalas and Ilias Athanasiadis and D. Bafaloukos and Chris Panopoulos and Margarita-Ioanna Koufaki and George Petrakis and Georgios Fountzilas and Helena Linardou},

url = {https://doi.org/10.1016/j.ctarc.2026.101310},

doi = {10.1016/j.ctarc.2026.101310},

year  = {2026},

date = {2026-01-01},

journal = {Cancer Treatment and Research Communications},

volume = {48},

pages = {101310},

publisher = {Elsevier BV},

abstract = {BACKGROUND: We report for the first time the molecular landscape and outcome associations from the prospective CLIMEDIN trial in Greece. METHODS: Two hundred patients with newly diagnosed advanced NSCLC (March 2022-October 2023) were enrolled and randomized to standard-of-care education versus additional automated, adverse-event-targeted digital interventions. Within this study baseline testing (EGFR, ALK, PD-L1) was performed in all; 165 tumors underwent comprehensive NGS (Oncomine Comprehensive Assay v3). Primary endpoint was improvement in AEs/QoL; secondary endpoints included ORR, PFS and OS. Associations between genomic alterations and outcomes were explored. RESULTS: Median age was 68 years; 75% male; 52% current smokers; adenocarcinoma 68.5%. Most received chemo-immunotherapy (66%). At data cut-off (December 2025; reverse-Kaplan-Meier median follow-up 36.3 months), median PFS was 9.6 months and median OS was 15.2 months. Across 200 tumors, 495 pathogenic variants (PVs) were identified in 83 genes. Exploratory outcome analyses showed longer OS in EGFR-mutant disease (preserved under parsimonious multivariable adjustment) and a formal KRAS × smoking interaction for OS (interaction P = 0.011). CONCLUSIONS: In this cohort, the molecular profile mirrors other Caucasian series, with clinically relevant enrichment patterns for EGFR and KRAS. ECOG performance status and first line treatment were the dominant prognostic factors in this cohort. A novel KRAS and smoking interaction for overall survival warrants prospective validation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{fountzilas2026detection,

title = {Detection of germline and somatic pathogenic variants in patients with de novo metastatic breast cancer (dnMBC) and assessment of their prognostic relevance: A Hellenic Cooperative Oncology Group (HeCOG) translational cohort study},

author = {Elena Fountzilas and Kyriaki Papadopoulou and Nikolaos Korfiatis and A. Goussia and A. Christopoulou and Evaggelia Moirogiorgou and N. Tsoukalas and G. Petrakis and C. Gouedard and Flora Zagouri and D. Stefanou and Flora Kyriakou and Eleftherios Vorrias and S. Karageorgopoulou and F. Dimitrakopoulos and A. Vernadou and S. Murray and G. Fountzilas},

url = {https://doi.org/10.1158/1557-3265.sabcs25-ps4-02-18},

doi = {10.1158/1557-3265.sabcs25-ps4-02-18},

year  = {2026},

date = {2026-01-01},

journal = {Clinical Cancer Research},

volume = {32},

number = {4_Supplement},

publisher = {American Association for Cancer Research},

address = {San Antonio, Texas},

abstract = {Background: Robust clinico-genomic predictors of survival in dnMBC remain ill defined. We employed next generation sequencing (NGS) to explore the mutational spectrum of a Greek dnMBC cohort alongside key clinicopathological factors and evaluated their prognostic impact for overall survival (OS). Patients and Methods: Formalin-fixed, paraffin-embedded tumor tissue blocks were collected from the HeCOG Biobank for 106 patients with dnMBC alongside peripheral blood samples for 91 cases. NGS was performed on Ion Torrent platforms with AmpliSeq DNA panels targeting genes recurrently altered in BC. Variants classified as pathogenic or likely pathogenic (PVs) according to Clinvar and ACMG/AMP criteria were then processed for analysis. Cox proportional-hazards regression models were applied to assess prognostic relevance of both genomic and clinicopathological variables. Results: The total study population consisted of 106 women with a median age of 63 years (31-86); 67 patients (64%) were postmenopausal Overall, 62.5% presented with a PS of 0 and 74% with NST histology. Regarding tumor profiling, 82% were hormone receptor (HR) positive, 28.8% HER2+, 50% grade 3. Family history of cancer was positive in 17.3% of patients. Notably, 42% of patients underwent some type of breast surgery. First-line treatment included a combination of aromatase inhibitor (AI) and CDK4/6 inhibitor in 36 (34%) patients, chemotherapy (CT) alone in 27 (23.6%), combination of CT and other targeted agents in 30 (28.3%), hormonal therapy only in 7 (6.6%), while for 6 patients (5.6%) treatment data were missing. Moreover, 11 patients (10.3%) were diagnosed with locoregional (LR) disease only, 45 (42.5%) with distant and 42 (39%) with LR and distant metastases. Regarding IHC subtypes tested locally, 70 patients (66%) were classified as Luminal A/B, 31 (29.2%) HER2+ and 5 (4.7%) as TNBC. At least one PV was present in 69 of 106 tumors (65.1 %), with most carrying PVs in PIK3CA (40 cases; 37.7 %) and TP53 (29 cases; 27.4 %). Recurrent, albeit less frequent, PVs were also observed in ERBB2, GATA3, PTEN, CDH1 and AKT1 (each present in ≥ 2 tumors). Meanwhile, germline sequencing revealed single PVs in two patients, one in TP53 and the other in PTEN. In univariate analyses, none of the standard clinicopathological parameters (age, menopausal status, performance status, histology, T-stage, grade, ER/HER2 status) or individual PVs reached statistical significance for OS. No significant difference was found between Luminal and HER2+ subgroups. Conclusion: The mutational landscape of our Greek dnMBC series reveals a high prevalence of actionable PIK3CA, TP53 and ERBB2 alterations. These findings emphasize further the biological heterogeneity of dnMBC disease and the need for the identification of novel integrative biomarkers beyond standard clinico-genomic parameters to improve prognosis and guide therapeutic decisions. The study was registered on ClinicalTrials.gov under the identifier NCT05758948 Citation Format: E. Fountzilas, K. Papadopoulou, N. Korfiatis, A. Goussia, A. Christopoulou, E. Moirogiorgou, N. Tsoukalas, G. Petrakis, C. Gouedard, F. Zagouri, D. Stefanou, F. Kyriakou, E. Vorrias, S. Karageorgopoulou, F. Dimitrakopoulos, A. Vernadou, S. Murray, G. Fountzilas. Detection of germline and somatic pathogenic variants in patients with de novo metastatic breast cancer (dnMBC) and assessment of their prognostic relevance: A Hellenic Cooperative Oncology Group (HeCOG) translational cohort study [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS4-02-18.},

note = {Conference abstract PS4-02-18},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{palla2026museum,

title = {Museum service recovery: emotion regulation in responses to online negative reviews},

author = {Evangelia Palla and Leonidas Hatzithomas and George Lekakos and Nikolaos Korfiatis},

url = {https://doi.org/10.1108/tr-08-2025-0917},

doi = {10.1108/tr-08-2025-0917},

year  = {2026},

date = {2026-01-01},

journal = {Tourism Review},

pages = {1–19},

publisher = {Emerald Publishing Limited},

abstract = {Purpose As online review platforms such as TripAdvisor increasingly share visitor experiences and shape institutional reputations, the influence of emotion in complaint reviews on guiding service recovery strategies remains inadequately understood. This study aims to explore the emotional dynamics between negative tourist reviews and museum responses. Design/methodology/approach Drawing on emotion regulation theory, we analyzed 615 negative reviews and their corresponding institutional responses from 32 internationally recognized museums using theory-informed content analysis and emotion mining based on machine learning. Findings Complaint emotions are categorized in terms of the intensity of feelings (e.g. fear, confusion, disappointment), and museum responses are grouped according to Gross’s emotion regulation strategy framework. The findings indicate that the emotions expressed in complaints are closely tied to the emotion regulation strategies used by museums in their responses (e.g. museums used cognitive change in response to feelings of sadness). Originality/value This study contributes to the literature on cultural tourism by illustrating not only the potential to discover fine-grained emotions in visitors’ complaints and group them into emotion profiles in a continuum of emotional negativity but also their relationship with emotion regulation strategies expressed in the museum’s responses. The results identify both the patterns of emotional fit between complaints and responses and the communicative effort of these strategies, thereby demonstrating the application of emotion regulation theory to explain digital service recovery in the context of cultural tourism.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{papadopoulou2026profiling,

title = {Profiling of 1491 tumors from four HeCOG early breast cancer (eBC) studies using targeted DNA sequencing and central pathology review},

author = {K. Papadopoulou and H. P. Kourea and A. Goussia and Nikolaos Korfiatis and T. Koletsa and O. Tzaida and M. Bobos and A. Batistatou and A. Koumarianou and E. Aravantinou Fatorou and D. G. Pectasides and A. N. Christopoulou and H. Linardou and E. Fountzilas and G. Pentheroudakis and A. Koutras and A. Psyrri and H. Gogas and G. Fountzilas},

url = {https://doi.org/10.1016/j.esmoop.2026.107057},

doi = {10.1016/j.esmoop.2026.107057},

year  = {2026},

date = {2026-01-01},

journal = {ESMO Open},

volume = {11},

pages = {107057},

publisher = {Elsevier BV},

abstract = {Harmonized clinicogenomic cohorts linking tumor genomics to centrally reviewed pathology are essential for biomarker discovery in early breast cancer. We characterized pathogenic variants (PVs) and examined their associations with centrally assessed subtypes across four HeCOG adjuvant trials.},

note = {Conference abstract 101P},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kosmidis2026snf,

title = {SNF-CLIMEDIN: A Randomized Trial of Digital Support and Intervention in Patients With Advanced Non–Small Cell Lung Cancer. A Hellenic Cooperative Oncology Group Study},

author = {P. Kosmidis and Thanos Kosmidis and Kyriaki Papadopoulou and Nikolaos Korfiatis and Athanassios Vozikis and Sofia Lampaki and Panagiota Economopoulou and Elena Fountzilas and Athina Christopoulou and E. Samantas and Anastasios Vagionas and Giannis Mountzios and G. Goumas and Nikolaos Tsoukalas and Ilias Athanasiadis and D. Bafaloukos and Chris Panopoulos and Margarita Ioanna Koufaki and G. Fountzilas and Georgios Petrakis and Helena Linardou},

url = {https://doi.org/10.1200/cci-25-00234},

doi = {10.1200/cci-25-00234},

year  = {2026},

date = {2026-01-01},

journal = {JCO Clinical Cancer Informatics},

volume = {10},

number = {1},

pages = {e2500234},

publisher = {Lippincott Williams & Wilkins},

abstract = {PURPOSE This trial aims to investigate the effectiveness of online digital intervention in patients with non–small cell lung cancer (NSCLC) in terms of adverse events (AEs) and quality of life (QoL). METHODS This randomized trial recruited 200 patients with advanced NSCLC (March 2022-October 2023). All patients received standard-of-care precise treatment, predominantly immunochemotherapy. The study was designed to assess AEs and QoL improvement. Through the CareAcross online platform, all patients received information about their disease and treatment and reported any of the 22 predefined AEs at any time. Patients were randomly assigned 1:1 in the intervention (A) and control (B) arm; patients in arm A automatically received, additionally, evidence-based guidance for the reported AEs. EuroQol 5-dimension 5-level responses were collected at baseline and at each treatment cycle. Resulting scores were compared between baseline and after the sixth cycle. In addition, patient case–level hospitalization data were collected and costs were estimated based on reimbursed costs as defined by the Ministry of Health, enabling a post hoc analysis. RESULTS Clinical characteristics were well-balanced. More AEs were reported by patients online versus to their clinicians ( P < .01). Among the 22 AEs, 17 improved more in arm A, with the improvement in rash and stomatitis being statistically significant. In QoL, there was no improvement in any of the five EuroQol 5-Dimension dimensions. Digital intervention was cost-saving with lower mean costs for hospitalization ( P < .001). Overall response rate, progression-free survival, and overall survival were not statistically different between the two arms, ensuring comparable clinical outcome. CONCLUSION Digital oncology tends to improve selected AEs and is cost saving. Patients report, digitally, more informative AEs. Digital oncology can be a complementary tool to the oncology team and warrants further exploration.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{panagiotopoulos2026demystifying,

title = {Demystifying the Digital Transformation of Humanitarian Supply Chains Through AidTech},

author = {Apostolos Panagiotopoulos and Vasileios Karyotis and Georgios N. Dimitrakopoulos and Vassiliki Choleva-Tsiringkaki and Panos E. Kourouthanassis},

url = {https://doi.org/10.3390/logistics10050110},

doi = {10.3390/logistics10050110},

year  = {2026},

date = {2026-01-01},

journal = {Logistics},

volume = {10},

number = {5},

pages = {110},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {Background: Humanitarian campaigns are more popular with more initiatives organized than ever by public and private bodies. Simultaneously, more peculiar challenges, such as zero-waste and transparency, are required compared to traditional supply chains. This work investigates the current technological landscape for shaping the next generation of humanitarian aid management systems, focusing on algorithmic and operational aspects, matching them to a new architecture for a target-platform, called AidTech. Methods: The methodology follows a systematic literature coverage, identifying cross-disciplinary trends from operations research, computer science and sustainable logistics. We examine the convergence of optimization, artificial intelligence, and blockchain-enabled traceability toward efficient and transparent humanitarian logistics. The employed methods include adaptive scheduling, resource allocation algorithms and privacy–preserving collaboration for meeting special constraints imposed by the humanitarian scope. Results: The findings focus on the architectural perspective of humanitarian supply chains and highlight that modern humanitarian infrastructures will increasingly rely on hybrid optimization methods integrating graph theory, dynamic routing under stochastic demand, multi-criteria decision analysis and distributed ledger technologies. Conclusions: We conclude that these paradigms, when combined under a unified cyber–physical architecture, e.g., AidTech, can substantially improve responsiveness, equity and sustainability in crisis management, further shaping future humanitarian logistics.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kallitsis2026optimal,

title = {Optimal Control of Wireless Data and Power Transfer in Energy Harvesting Consumer Networks},

author = {Georgios Kallitsis and Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1109/tce.2026.3679014},

doi = {10.1109/tce.2026.3679014},

year  = {2026},

date = {2026-01-01},

journal = {IEEE Transactions on Consumer Electronics},

volume = {72},

number = {2},

pages = {3858–3872},

publisher = {Institute of Electrical and Electronics Engineers},

abstract = {Wireless power transfer is one of the new technologies promising to revolutionize consumer electronics in the future, especially low-power portable devices. In this paper, we propose optimal control strategies for simultaneous data and energy transfers in energy harvesting wireless networks, focusing on enhancing efficiency and performance in low-power portable devices and IoT applications. We develop an optimization framework for joint energy-data transfers in multihop wireless networks with energy harvesting capabilities in two cases, namely that of orthogonal and non-orthogonal medium access. Devices are assumed to follow half-duplex operation, thereby splitting time into mutually exclusive data and energy transfer phases, ensuring alternating, virtually simultaneous data-energy transfers within time intervals, even with low-cost consumer electronics. Distributed algorithms are proposed for congestion control, routing, power control, and time-splitting decisions. Both cases are formulated as non-convex optimization problems, which are demonstrated to have zero duality gap, therefore enabling the use of dual-based solution methods. Numerical evaluations show that the proposed algorithms outperform other schemes (e.g., those without power control or energy transfer) in terms of higher source rates (almost double for most nodes), efficient energy consumption, and extending network lifetime. Their efficacy is also depicted in realistic and frequently encountered scenarios in consumer electronics, characterized by non-uniform energy harvesting, as well as dynamically changing topologies. The results demonstrate the applicability of the proposed framework in real-world scenarios, particularly for IoT and low-power consumer electronics networks.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{varthis2026streamlined,

title = {A Streamlined AI-Powered Workflow for Enriching Library Newspaper Archives},

author = {Evagelos Varthis},

url = {https://doi.org/10.1080/19322909.2026.2638177},

doi = {10.1080/19322909.2026.2638177},

year  = {2026},

date = {2026-01-01},

journal = {Journal of Web Librarianship},

volume = {20},

number = {2},

pages = {188–195},

publisher = {Informa UK Limited},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sgouros2025anti,

title = {Anti-EGFR re-challenge with chemotherapy in RAS wild-type advanced colorectal cancer (A-REPEAT study): efficacy and correlations with tissue and plasma genotyping},

author = {Joseph Sgouros and Alexia Eliades and Kyriaki Papadopoulou and Nikolaos Korfiatis and Demetris Papamichael and Elena Fountzilas and Eleftheria Tsolaki and Achilleas Achilleos and Kyriakos Tsangaras and Charalambos Loizides and G. Oikonomopoulos and Thomas Makatsoris and Elena Kypri and Maria G. Ioannides and George Koumbaris and G. Fountzilas and Philippos C. Patsalis and George Pentheroudakis},

url = {https://doi.org/10.1016/j.esmogo.2024.100120},

doi = {10.1016/j.esmogo.2024.100120},

year  = {2025},

date = {2025-01-01},

journal = {ESMO Gastrointestinal Oncology},

volume = {7},

pages = {100120},

publisher = {Elsevier BV},

abstract = {Background Approved treatments for colorectal cancer (CRC) patients pretreated with two lines of therapy are of limited efficacy. Anti-epidermal growth factor receptor (EGFR) re-challenge might represent an option in RAS wild-type tumours. This study aimed to evaluate the efficacy of anti-EGFR re-challenge strategies (panitumumab/chemotherapy). Materials and methods RAS wild-type metastatic CRC patients following first-line chemotherapy + anti-EGFR agent and second-line chemotherapy ± anti-vascular endothelial growth factor agent were eligible. Panitumumab with irinotecan or oxaliplatin-based chemotherapy was used. The primary objective was response rate (RR). Secondary objectives were safety, progression-free survival and overall survival. Next-generation sequencing-based genotyping in archived tissue and plasma was carried out to identify prognostic factors. Results The study closed prematurely, due to poor accrual, with 23 patients included. Most patients had primary tumours in the left colon/rectum, and the liver was the most common metastatic site. Treatment modifications were required in 74% of patients due to side-effects primarily, neutropenia and acneiform rash. One patient died from hepatic failure. The objective RR in the intention-to-treat population was 13%, and the disease control rate (DCR) was 52%. Forty-eight percent of patients tested via liquid biopsy had RAS mutations before re-challenge with panitumumab despite a median interval from previous anti-EGFR therapy of 12 months. Control of disease did not correlate with the results of liquid biopsy. RR and DCR in patients without RAS mutations in liquid biopsies were 18.2% and 54.5%, respectively. Conclusion Panitumumab/chemotherapy as an anti-EGFR re-challenge strategy had modest activity in our patient cohort.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{goussia2025clinical,

title = {Clinical outcomes and important prognostic biomarkers following dose-dense sequential adjuvant chemotherapy (dds-CT) in early breast cancer (eBC): Pooled-analysis of individual data from 5,378 patients - A Hellenic Cooperative Oncology Group study},

author = {A. Goussia and F-I. D. Dimitrakopoulos and Nikolaos Korfiatis and T. Koletsa and Anna Batistatou and Antonia Charchanti and Olympia Tzaida and Kalliopi Petraki and Stavroula Pervana and C. Magkou and Flora Zagouri and H. Gogas and Constantina Christodoulou and Amanda Psyrri and E. Aravantinou Fatorou and N. Spathas and Elena Fountzilas and Dimitrios Pectasides and George Fountzilas and H. P. Kourea},

url = {https://doi.org/10.1016/j.esmoop.2025.104621},

doi = {10.1016/j.esmoop.2025.104621},

year  = {2025},

date = {2025-01-01},

journal = {ESMO Open},

volume = {10},

pages = {104621},

publisher = {Elsevier BV},

note = {Conference abstract 67P},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kosmidis2025frequency,

title = {Frequency of Adverse Events Reported Digitally by Patients With Advanced NSCLC: Analysis From CLIMEDIN, a HeCOG Study},

author = {P. Kosmidis and T. Kosmidis and Kyriaki Papadopoulou and Nikolaos Korfiatis and Athanassios Vozikis and S. Lampaki and Panagiota Economopoulou and E. Fountzilas and A. Christopoulou and E. Samantas and Anastasios Vagionas and G. Mountzios and G. Goumas and N. Tsoukalas and I. Athanasiadis and D. Bafaloukos and C Panopoulos and Maria Koufaki and G. Fountzilas and H. Linardou},

url = {https://doi.org/10.1016/j.jtho.2025.09.737},

doi = {10.1016/j.jtho.2025.09.737},

year  = {2025},

date = {2025-01-01},

journal = {Journal of Thoracic Oncology},

volume = {20},

number = {10},

publisher = {Elsevier BV},

note = {Conference abstract P2.15.26},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{linardou2025intercalated,

title = {Intercalated Avelumab plus platinum-based chemotherapy in patients with Extensive-Stage Small-Cell Lung cancer (PAVE): Final outcome, immunophenotypic and biomarker analysis of a multi-center phase II Hellenic Cooperative Oncology Group study},

author = {Helena Linardou and Kyriaki Papadopoulou and Nikolaos Korfiatis and Anna Goussia and E. Samantas and Gerasimos Aravantinos and Athina Christopoulou and Nikolaos Spathas and Elena Fountzilas and Amanda Psyrri and Georgia-Angeliki Koliou and Soultana Meditskou and Epaminondas Kosmas and Mattheos Bobos and Antonia Charchanti and Ioannis Vamvakaris and Anna Koumarianou and Dimitrios Bafaloukos and P. Kosmidis and George Fountzilas and Giannis Mountzios},

url = {https://doi.org/10.1016/j.ejca.2025.115660},

doi = {10.1016/j.ejca.2025.115660},

year  = {2025},

date = {2025-01-01},

journal = {European Journal of Cancer},

volume = {228},

pages = {115660},

publisher = {Elsevier BV},

abstract = {BACKGROUND: Extensive stage small cell lung cancer (ES-SCLC) has poor prognosis, and first-line chemo-immunotherapy is now the standard-of-care. We hypothesized that intercalated immunotherapy administration in-between chemotherapy cycles, at maximal neoantigen release, might enhance immune response and efficacy. METHODS: PAVE is a multicenter phase II study. Patients with untreated ES-SCLC received standard platinum-etoposide every three weeks for 4-6 cycles. Avelumab 10mg/kg was administered every two weeks from cycle 3 until chemotherapy completion, and as maintenance thereafter. The primary endpoint was one-year PFS. Genotyping of FFPE tumors via targeted NGS, assessment of tumor-infiltrating lymphocytes (TILs) and analysis of CD8 and PD-L1, was performed. RESULTS: Between September 2018-September 2020, 55 pts, median age 65.9 years, 67.3 % male, were enrolled. With median follow-up of 10.3 months, 1-year PFS was 12.7 %, median PFS 5.8 months, 1-year OS 38.2 %, median OS 10.3 months. ORR was 69.1 % (CR 5.5 %, PR 63.6 %), median DoR 5.6 months. AEs grade 3-4 occurred in 56 % of patients. QoL, global health status and disease-related symptoms were significantly improved from baseline. The presence of TILs/CD8 in tumour was not significantly associated with survival. All but one tumor carried genetic alterations, with TP53 (89.5 %), RB1 (57.9 %), NOTCH (31.6 %) and MYC (23.7 %) being the most frequently mutated genes. Liver metastases, RB1 or TP53/RB1 co-mutations, no PCI and age > 65 years were negative PFS/ OS prognosticators. There were 10 Long Term Survivors (LTS) identified, the majority < 65 years old and most with ≤ 3 metastatic sites (50 %). Median OS of the LTS was 34.2 months and median PFS 19.9 months. CONCLUSIONS: Intercalated avelumab administration with chemotherapy did not meet the primary endpoint of 1-year PFS. However, our results suggest that this approach demonstrates clinically relevant PFS, DoR, and improved QoL, with overall outcomes similar to those seen with standard frontline chemotherapy in historical controls.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kosmidis2025snf,

title = {SNF-CLIMEDIN: A HECOG prospective randomized trial of digital support and intervention in patients with advanced non-small cell lung cancer (NSCLC)—Final results},

author = {P. Kosmidis and Thanos Kosmidis and Kyriaki Papadopoulou and Nikolaos Korfiatis and Athanassios Vozikis and Sofia Lampaki and Amanda Psyrri and Elena Fountzilas and Athina Christopoulou and E. Samantas and Anastasios Vagionas and Giannis Mountzios and Georgios Gkoumas and Nikolaos Tsoukalas and Ilias Athanasiadis and Dimitrios Bafaloukos and C Panopoulos and Margarita Ioanna Koufaki and George Fountzilas and Helena Linardou},

url = {https://doi.org/10.1200/jco.2025.43.16_suppl.1515},

doi = {10.1200/jco.2025.43.16_suppl.1515},

year  = {2025},

date = {2025-01-01},

journal = {Journal of Clinical Oncology},

volume = {43},

number = {16_suppl},

pages = {1515},

publisher = {Lippincott Williams & Wilkins},

abstract = {1515 Background: This trial aims to investigate the feasibility and effectiveness of online digital intervention to NSCLC patients in terms of adverse events (AEs), quality of life (QoL), cost, and the interrelation with clinical and molecular characteristics. Methods: This prospective randomized trial recruited 200 advanced NSCLC patients (3/22-10/23). Final analysis was undertaken in 12/24. All had NGS tissue analysis for 161 genes, and received standard treatment (predominantly immuno-chemotherapy). Through the CareAcross online platform, they received information about their disease and treatment, and periodically reported any of the 22 preplanned AEs. Patients were randomized 1:1 in the Intervention (A) and Control (B) arm; patients in arm A received digitally, additionally, evidence-based guidance for the reported AEs. The study was designed to assess AE improvement (measured per patient as reduction of AEs reported at last contact, compared to those previously reported) and QoL. EQ5D-5L scores were collected. Patient-case level hospitalization data were collected and costs were estimated based on reimbursed cost as defined by the Ministry of Health. Results were correlated with patients’ clinical and molecular characteristics. Results: Clinical and molecular characteristics will be presented during ASCO Congress. Comparing arms A vs B: ORR: 42.1% vs 41.7%; Median PFS: 11m (8.0-15) vs 10m (7.0-13), 1-year PFS: 43% (31%-54%) vs 42% (31%-53%) (p = 0.4). Median OS: 15m (12-20) vs 16m (12-21), 1-year OS: 59% (48%-68%) for both arms (p = 0.9). PFS and OS were improved for those with best responses (p < 0.001). Patients with EGFR mutations had better OS (p = 0.05). The most common AEs reported in both arms were fatigue, cough, anorexia, nausea. More AEs were reported online vs to clinicians (89% vs 68% of patients; p < 0.01). Baseline EQ5D-5L was similar for both arms; when compared with data at best response, Anxiety/Depression showed the biggest difference in improvement for arm A vs B. Among the 22 ΑEs, 17 improved more in arm A, 1 improved equally, and 4 improved more in Arm B. The comparative improvements of rash and stomatitis in arm A vs B were statistically significant (p = 0.0073 & p = 0.0447). The mean hospitalization cost (arm A vs B, in Euros) was 455.4 (95%CI: 91.9-941.5) vs 779.5 (346.6-1328.5) (p < 0.001); the mean diagnostics cost was 20.3 (0.5-50.8) vs 73.3 (1.3-186.1) (p < 0.001). Conclusions: Digital oncology is feasible, cost-effective by reducing hospitalizations and tends to improve QoL (especially anxiety and depression) and most AEs of NSCLC patients regardless of clinical and molecular status. Patients report, digitally, more informative AEs for clinical and research analysis. Through the digital transformation of healthcare, digital oncology can be a complementary tool to the Oncology team and warrants further exploration. Clinical trial information: NCT05372081 .},

note = {Conference abstract},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dousios2025persuasive,

title = {The Persuasive Impact of Text and Audio Features on Technology Crowdfunding Campaigns: An Empirical Study on Kickstarter},

author = {Dimitrios Dousios and Nikolaos Korfiatis and Konstantina Spanaki},

url = {https://doi.org/10.1109/tem.2025.3549597},

doi = {10.1109/tem.2025.3549597},

year  = {2025},

date = {2025-01-01},

journal = {IEEE Transactions on Engineering Management},

volume = {72},

pages = {2049–2064},

publisher = {Institute of Electrical and Electronics Engineers},

abstract = {In technology-focused crowdfunding, campaign outcomes are connected to the strength and delivery of a persuasive message. Owing to the technical complexity of these projects, persuasive elements can be found in features scattered across the project's textual description and video pitch. To date, existing research has systematically examined the influence of textual attributes, but the impact of auricular attributes and their joint persuasive effect is not yet clearly understood. To investigate these gaps, our study uses text and audio features extracted from a dataset of 3589 reward-based technology crowdfunding campaigns on Kickstarter. The results indicate that both text (brevity, readability, and sentiment) and audio (tone neutrality, audio contour, frequency, and harmonics) features of a campaign's message, positively influence crowdfunding outcomes. This influence is more pronounced when they are considered in conjunction. These results provide new theoretical insights for assessing persuasive message properties in a technology crowdfunding context. For entrepreneurs, the strength and delivery of the story put forward in technology crowdfunding are more noticeable when the joint effects of text and audio are considered.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kallitsis2025optimization,

title = {An optimization framework for joint wireless data-power transmission in distributed energy harvesting networks},

author = {Georgios Kallitsis and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1016/j.comnet.2025.111506},

doi = {10.1016/j.comnet.2025.111506},

year  = {2025},

date = {2025-01-01},

journal = {Computer Networks},

volume = {270},

pages = {111506},

publisher = {Elsevier BV},

abstract = {In this paper, we address the challenge of performing effective joint wireless data-energy transfers in distributed mobile energy-harvesting networks. In principle, wireless power transfer resembles energy harvesting, however, it exhibits its own special features. We develop a holistic, backpressure-inspired technique, describing the evolution of each node’s queue-battery state, and we define an optimization problem with the objective of improving the balance of energy. We implement a dual Lagrange multipliers solution and determine the key variables influencing the system’s behavior. We investigate the overall energy transfer from the periphery to the core network in cases of traffic-stressed core nodes, and through analysis and simulation, we demonstrate the theoretical and practical potentials of this framework and its potential use for greener and self-sustainable networks.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{panagiotopoulos2025commercial,

title = {Commercial Off-the-Shelf IoT-Based Infant Car Seat Application for Preventing the Forgotten Baby Syndrome},

author = {Apostolos Panagiotopoulos and Vasileios Karyotis},

url = {https://doi.org/10.3390/fi17100443},

doi = {10.3390/fi17100443},

year  = {2025},

date = {2025-01-01},

journal = {Future Internet},

volume = {17},

number = {10},

pages = {443},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {The Forgotten Baby Syndrome (FBS), the accidental abandonment of infants in vehicles, continues to result in otherwise preventable tragedies worldwide. This work presents a prototype system called SafeCuddle, designed to mitigate the risks associated with FBS. The proposed solution utilizes an Arduino UNO R4 WiFi microcontroller integrated with low-cost IoT sensors for real-time data acquisition and processing. Processed signals are visualized via a Python-based desktop application. A key feature of the system is its ability to issue immediate alerts to the driver upon detecting their departure from the vehicle while an infant remains seated in the vehicle. An extensive review of the syndrome’s etiology identifies disrupted routines and the high demands of modern life as primary contributing factors. In response, the proposed system can be easily implemented with commercial off-the-shelf components and aims to support caregivers by acting as a fail-safe mechanism. The paper is structured into two primary sections: (i) an analytical overview of FBS and its contributing factors and (ii) a detailed account of the system’s design, implementation, operational workflow, and evaluation results. The unique contribution of this work lies in the integration of a low-cost, real-time alert system within a modular and easily deployable architecture that can be integrated in existing infant car seats as an aftermarket solution, if properly commercialized, specifically tailored to prevent FBS through immediate driver feedback at the critical moment of risk.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dimitriou2025heuristic,

title = {Heuristic Custom Similarity Index (HCSI): A novel machine learning approach for link prediction},

author = {Paraskevas Dimitriou and Vasileios Karyotis},

url = {https://doi.org/10.1016/j.jocs.2025.102719},

doi = {10.1016/j.jocs.2025.102719},

year  = {2025},

date = {2025-01-01},

journal = {Journal of Computational Science},

volume = {92},

pages = {102719},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{koumadorakis2025integrating,

title = {Integrating Machine Learning and Biological Context for Single-Cell Gene Regulatory Network Inference},

author = {Dimitrios E. Koumadorakis and Georgios N. Dimitrakopoulos and Themis P. Exarchos and Panagiotis Vlamos and Aristidis G. Vrahatis},

url = {https://doi.org/10.1142/s0218213025400147},

doi = {10.1142/s0218213025400147},

year  = {2025},

date = {2025-01-01},

journal = {International Journal of Artificial Intelligence Tools},

volume = {35},

number = {01},

pages = {250–260},

publisher = {World Scientific},

abstract = {Single-cell RNA Sequencing (scRNA-seq) data is a powerful approach for aiding in the uncovering of intricate regulatory networks that drive cellular processes. These Gene Regulatory Networks (GRNs) play a pivotal role in understanding how Transcription Factors (TFs) and target genes interact to control gene expression in diverse biological contexts. However, existing methods for GRN inference often rely heavily on mathematical models, frequently neglecting biological knowledge. Alternatively, some approaches incorporate biological knowledge with strict constraints, limiting their ability to predict novel interactions, resulting in reduced biological interpretability and the inclusion of false-positive regulatory interactions. To address these limitations, we propose a novel framework that integrates dataset-specific information with GO term annotations to enhance GRN inference. By combining mathematical modeling with biologically informed criteria, our approach prioritizes genes based on functional relevance and improves network interpretability. Using scRNA-seq data from donors with Type 2 Diabetes (T2D), we demonstrate that our method significantly reduces false positives and can identify biologically relevant TFs that other approaches may miss. This integration of biological knowledge with computational models not only enhances the precision of GRN predictions but also provides a deeper understanding of the regulatory mechanisms underlying complex cellular processes and disease pathogenesis.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{lekati2025wearable,

title = {Wearable EEG Sensor Analysis for Cognitive Profiling in Educational Contexts},

author = {Eleni Lekati and Georgios N. Dimitrakopoulos and Konstantinos Lazaros and Panagiota Giannopoulou and Aristidis G. Vrahatis and Marios G. Krokidis and Panagiotis Vlamos and Spyridon Doukakis},

url = {https://doi.org/10.3390/s25206446},

doi = {10.3390/s25206446},

year  = {2025},

date = {2025-01-01},

journal = {Sensors},

volume = {25},

number = {20},

pages = {6446},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {Electroencephalography (EEG) provides a powerful means of capturing real-time neural activity, enabling the study of cognitive processes during complex learning tasks. This study explores the application of wearable EEG and advanced signal analysis to examine cognitive profiles of 30 sixth-grade students engaged in fraction learning. Using validated estimations alongside interactive digital tools such as Fraction Lab and the Diamond Paper task, EEG recordings were processed to evaluate spectral dynamics across delta, theta, alpha, and beta bands. Results revealed that lower-performing students exhibited elevated delta and theta power under cognitive load, whereas higher-performing students showed more stable beta activity linked to cognitive control. These findings highlight the utility of EEG-based signal analysis for identifying neurocognitive markers associated with conceptual and procedural knowledge (PK) in mathematics. The integration of such methodologies supports the development of precision-oriented educational strategies grounded in objective neural data. Clustering further revealed three learner profiles: Core Support Needed, Developing, and Advanced, while classification analyses confirmed that EEG features, especially gamma and beta oscillations, reliably distinguished among them, underscoring the potential of neurocognitive markers to guide adaptive instruction.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{tzimiris2025comparative,

title = {A Comparative Evaluation of Transformer-Based Language Models for Topic-Based Sentiment Analysis},

author = {Spyridon Tzimiris and Stefanos Nikiforos and Maria Nefeli Nikiforos and Despoina Mouratidis and Katia Lida Kermanidis},

url = {https://doi.org/10.3390/electronics14152957},

doi = {10.3390/electronics14152957},

year  = {2025},

date = {2025-01-01},

journal = {Electronics},

volume = {14},

number = {15},

pages = {2957},

publisher = {MDPI AG},

abstract = {This research investigates topic-based sentiment classification in Greek educational-related data using transformer-based language models. A comparative evaluation is conducted on GreekBERT, XLM-r-Greek, mBERT, and Palobert using three original sentiment-annotated datasets representing parents of students with functional diversity, school directors, and teachers, each capturing diverse educational perspectives. The analysis examines both overall sentiment performance and topic-specific evaluations across four thematic classes: (i) Material and Technical Conditions, (ii) Educational Dimension, (iii) Psychological/Emotional Dimension, and (iv) Learning Difficulties and Emergency Remote Teaching. Results indicate that GreekBERT consistently outperforms other models, achieving the highest overall F1 score (0.91), particularly excelling in negative sentiment detection (F1 = 0.95) and showing robust performance for positive sentiment classification. The Psychological/Emotional Dimension emerged as the most reliably classified category, with GreekBERT and mBERT demonstrating notably high accuracy and F1 scores. Conversely, Learning Difficulties and Emergency Remote Teaching presented significant classification challenges, especially for Palobert. This study contributes significantly to the field of sentiment analysis with Greek-language data by introducing original annotated datasets, pioneering the application of topic-based sentiment analysis within the Greek educational context, and offering a comparative evaluation of transformer models. Additionally, it highlights the superior performance of Greek-pretrained models in capturing emotional detail, and provides empirical evidence of the negative emotional responses toward Emergency Remote Teaching.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{varthis2025assigning,

title = {Assigning thematic headings to sections of scanned documents for semantic enrichment in libraries: an alternative-complementary approach to the complexity of AI techniques},

author = {Evagelos Varthis and Marios Poulos},

url = {https://doi.org/10.1108/lhtn-01-2025-0020},

doi = {10.1108/lhtn-01-2025-0020},

year  = {2025},

date = {2025-01-01},

journal = {Library Hi Tech News},

publisher = {Emerald},

abstract = {Purpose: This paper aims to examine the semantic enrichment that can be applied to scanned library documents with the help of Artificial Intelligence (AI) and proposes an alternative-complementary enrichment approach using a crowdsourcing platform with specific characteristics to address cases of challenging scanned texts that AI cannot effectively handle. Design/methodology/approach: The proposed platform is a web-based tool that utilizes simple and familiar JavaScript technologies behind web pages and CGI-Bin functionality using the busybox webserver, along with user-level security configurations. The system is portable in a copy-paste format, incorporating LLM-based AI technologies for error correction and utilizes optical character recognition technology (Tesseract engine and Google Vision) for text recognition. The system offers easy and fast creation of Tables of Contents (TOCs) from thematic headers mapped to selected excerpts of the scanned documents, as well as the addition of metadata. Findings: The TOCs automatically generated from the thematic headings form a navigational map for the document, helping the user quickly locate information. The TOCs can be searchable and further editable by LLMs. TOCs can also be created for hyperlinks we add, as well as for images in the document that we annotate. Originality/value: The article explores a cost-effective alternative-complementary crowdsourcing solution in relation to AI techniques for the semantic enrichment of scanned documents. This solution can significantly assist libraries in showcasing their scanned documents and aids users in navigating these documents and identifying areas of interest through enhanced search capabilities.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kermanidis2025ict,

title = {ICT Adoption in Education: Unveiling Emergency Remote Teaching Challenges for Students with Functional Diversity Through Topic Identification in Modern Greek Data},

author = {Katia Lida Kermanidis and Spyridon Tzimiris and Stefanos Nikiforos and Maria Nefeli Nikiforos and Despoina Mouratidis},

url = {https://doi.org/10.3390/app15094667},

doi = {10.3390/app15094667},

year  = {2025},

date = {2025-01-01},

journal = {Applied Sciences},

volume = {15},

number = {9},

pages = {4667},

publisher = {MDPI AG},

abstract = {This study explores topic identification using text analysis techniques in Modern Greek interviews with parents of students with functional diversity during Emergency Remote Teaching. The analysis focused on identifying key educational themes and addressing challenges in processing Greek educational data. Machine learning models, combined with Natural Language Processing techniques, were applied for topic identification, utilizing cross-validation and data balancing methods to enhance reliability. The findings revealed the impact of linguistic complexity on topic modeling and highlighted the educational implications of analyzing qualitative data in this context. Among the models tested, the Naïve Bayes (Kernel) algorithm performed best when combined with lemmatization-based preprocessing, confirming that text normalization significantly enhances classification accuracy in Greek educational data. The proposed framework contributes to the analysis of qualitative educational data by identifying key parental concerns related to Emergency Remote Teaching. It demonstrates how text analysis techniques could support data-driven decision-making and help guide policy development for the inclusive and effective integration of Information and Communication Technology in education.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{tzimiris2025topic,

title = {Topic Classification of Interviews on Emergency Remote Teaching},

author = {Spyridon Tzimiris and Stefanos Nikiforos and Maria Nefeli Nikiforos and Despoina Mouratidis and Katia Lida Kermanidis},

url = {https://doi.org/10.3390/info16040253},

doi = {10.3390/info16040253},

year  = {2025},

date = {2025-01-01},

journal = {Information},

volume = {16},

number = {4},

pages = {253},

publisher = {MDPI AG},

abstract = {This study explores the application of transformer-based language models for automated Topic Classification in qualitative datasets from interviews conducted in Modern Greek. The interviews captured the views of parents, teachers, and school directors regarding Emergency Remote Teaching. Identifying key themes in this kind of interview is crucial for informed decision-making in educational policies. Each dataset was segmented into sentences and labeled with one out of four topics. The dataset was imbalanced, presenting additional complexity for the classification task. The GreekBERT model was fine-tuned for Topic Classification, with preprocessing including accent stripping, lowercasing, and tokenization. The findings revealed GreekBERT’s effectiveness in achieving balanced performance across all themes, outperforming conventional machine learning models. The highest evaluation metric achieved was a macro-F1-score of 0.76, averaged across all classes, highlighting the effectiveness of the proposed approach. This study contributes the following: (i) datasets capturing diverse educational community perspectives in Modern Greek, (ii) a comparative evaluation of conventional ML models versus transformer-based models, (iii) an investigation of how domain-specific language enhances the performance and accuracy of Topic Classification models, showcasing their effectiveness in specialized datasets and the benefits of fine-tuned GreekBERT for such tasks, and (iv) capturing the complexities of ERT through an empirical investigation of the relationships between extracted topics and relevant variables. These contributions offer reliable, scalable solutions for policymakers, enabling data-driven educational policies to address challenges in remote learning and enhance decision-making based on comprehensive qualitative evidence.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{linardou2024analysis,

title = {Analysis of evolution of patient reported side effects during treatment for advanced NSCLC},

author = {H. Linardou and T. Kosmidis and Kyriaki Papadopoulou and Nikolaos Korfiatis and Athanassios Vozikis and S. Lampaki and A. Psyrri and E. Fountzilas and A. N. Christopoulou and Epaminontas Samantas and Anastasios Vagionas and G. Mountzios and G. Goumas and Nikolaos Tsoukalas and I. Athanasiadis and Dimitrios Bafaloukos and C Panopoulos and Maria Koufaki and G. Fountzilas and P. Kosmidis},

url = {https://doi.org/10.1016/j.annonc.2024.08.1429},

doi = {10.1016/j.annonc.2024.08.1429},

year  = {2024},

date = {2024-01-01},

journal = {Annals of Oncology},

volume = {35},

publisher = {Elsevier BV},

note = {Conference abstract 1374P},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mountzios2024final,

title = {Final outcome, immunophenotypic and biomarker analysis of intercalated avelumab plus platinum-based chemotherapy in patients with extensive-stage small cell lung cancer (PAVE): A pilot phase II study of the Hellenic co-operative oncology group},

author = {Giannis Mountzios and Kyriaki Papadopoulou and Nikolaos Korfiatis and Anna Goussia and Epaminontas Samantas and Gerasimos Aravantinos and Athina Christopoulou and Nikolaos Spathas and Elena Fountzilas and Amanda Psyrri and Georgia-Angeliki Koliou and E. Kosmas and Mattheos Bobos and Antonia Charchanti and Ioannis Vamvakaris and Anna Koumarianou and D. Bafaloukos and P. Kosmidis and George Fountzilas and Helena Linardou},

url = {https://doi.org/10.1016/j.esmoop.2024.102770},

doi = {10.1016/j.esmoop.2024.102770},

year  = {2024},

date = {2024-01-01},

journal = {ESMO Open},

volume = {9},

pages = {102770},

publisher = {Elsevier BV},

abstract = {Extensive stage small cell lung cancer (ES-SCLC) is a poor prognosis disease, and first-line chemo-immunotherapy is now the standard-of-care. We hypothesized that intercalated administration of immunotherapy after two induction chemotherapy cycles, at maximal neoantigen release, might enhance immune response and overall efficacy.},

note = {Conference abstract 197MO},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kosmidis2024snf,

title = {SNF-CLIMEDIN: A prospective randomized trial of digital intervention in patients with advanced NSCLC—A HeCOG study},

author = {P. Kosmidis and Thanos Kosmidis and Kyriaki Papadopoulou and Nikolaos Korfiatis and Athanassios Vozikis and Sofia Lampaki and Amanda Psyrri and Elena Fountzilas and Athina Christopoulou and E. Samantas and Anastasios Vagionas and Giannis Mountzios and Georgios Gkoumas and Nikolaos Tsoukalas and Ilias Athanasiadis and D. Bafaloukos and C Panopoulos and Margarita Ioanna Koufaki and George Fountzilas and Helena Linardou},

url = {https://doi.org/10.1200/jco.2024.42.16_suppl.1520},

doi = {10.1200/jco.2024.42.16_suppl.1520},

year  = {2024},

date = {2024-01-01},

journal = {Journal of Clinical Oncology},

volume = {42},

number = {16_suppl},

pages = {1520},

publisher = {Lippincott Williams & Wilkins},

abstract = {1520 Background: The purpose of this trial is to investigate the effectiveness of online digital intervention to NSCLC patients in terms of quality of life (QoL), cost and the interrelation with clinical and molecular characteristics. Methods: This prospective randomized trial recruited 200 advanced NSCLC patients (3/22-10/23). All had NGS tissue analysis for 161 genes and received standard treatment (predominantly immuno-chemotherapy). Through the CareAcross online platform they received information about their disease and treatment, and periodically reported any of 22 preplanned adverse events (AEs). Patients were randomized 1:1 in the intervention (A) and control (B) arm; patients in arm A received digitally, additionally, evidence-based guidance for the reported AEs. The study was designed to assess QoL improvement (measured per patient as reduction of the number of AEs reported at last contact, compared to those previously reported). EQ5D-5L scores were collected. Patient-case level hospitalizations data were collected and costs were estimated based on reimbursed costs as defined by the Ministry of Health. Results were correlated with patients’ clinical and molecular characteristics. Results: Clinical and molecular characteristics will be presented during ASCO Congress. For all patients, responses were: CR: 2%, PR: 35.5%, SD: 35%, PD: 10.5%. Median PFS was 7.0 months (95%CI: 5-8), 1-year 18% (38%-55%). Median OS: 12 months (11-14), 1-year 47% (38%-55%). No difference was found between the two arms in any of the above, nor in OS in relation to clinical and molecular characteristics. The most common AEs that patients reported were fatigue, cough, anorexia, nausea. More patients submitted AE reports online than their clinicians (89% vs 68% of patients, p<0.01); more AEs were reported per submission, compared to their clinicians. Patients in arm Α reported marginally higher improvement compared to B (77.2% vs 75.7%); 15 of 22 AEs were associated with higher (14) or same (1) improvement in arm A vs B (not statistically significant); of the most common: fatigue (61.3% vs 48.6%), anorexia (86.5% vs 70.2%; p<0.05) and nausea (93.0% vs 87.2%). Baseline EQ5D was similar in both arms; comparing post-treatment (6th cycle) results shows higher improvement in all 5 dimensions in arm A vs B, especially in Anxiety/Depression (final values: 1.9 vs 2.2). The mean AE-related costs in Euros in arm A vs B were: hospitalization: 455.4 (95%CI: 91.9-941.5) vs 779.5 (346.6-1328.5) (p<0.001); diagnostics: 20.3 (0.5-50.8) vs 73.3 (1.3-186.1) (p<0.001). Follow up is ongoing. Conclusions: Digital oncology is feasible, cost-effective by reducing hospitalizations, improves certain AEs and tends to improve QoL of NSCLC patients regardless of clinical and molecular status. Patients report digitally more informative AEs for clinical and research analysis. Online platforms can complement the Oncology team. Clinical trial information: NCT05372081 .},

note = {Conference abstract},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{liontos2024role,

title = {The role of Cabazitaxel in Patients With Castration-Resistant and Osseous Metastases Prostate Cancer. A Hellenic Cooperative Oncology Group Phase II Study},

author = {Michalis Liontos and Anna Goussia and Nikolaos Korfiatis and Kyriaki Papadopoulou and Georgios Kanellis and A. Visvikis and Georgios Petrakis and Marinos Tsiatas and Elena Fountzilas and Epaminontas Samantas and George Fountzilas and Eleni Efstathiou},

url = {https://doi.org/10.1016/j.clgc.2024.102253},

doi = {10.1016/j.clgc.2024.102253},

year  = {2024},

date = {2024-01-01},

journal = {Clinical Genitourinary Cancer},

volume = {23},

number = {1},

pages = {102253},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kakkavas20245g,

title = {5G Perspective Of Connected Autonomous Vehicles: Current Landscape and Challenges Toward 6G},

author = {Grigorios Kakkavas and Maria Diamanti and Vasileios Karyotis and Kwame Nseboah Nyarko and Matthias Gabriel and Anastasios Zafeiropoulos and Symeon Papavassiliou and Klaus Moessner},

url = {https://doi.org/10.1109/mwc.014.2300277},

doi = {10.1109/mwc.014.2300277},

year  = {2024},

date = {2024-01-01},

journal = {IEEE Wireless Communications},

volume = {31},

number = {4},

pages = {299–306},

publisher = {Institute of Electrical and Electronics Engineers},

abstract = {Connected and autonomous vehicles (CAVs) have emerged as a promising paradigm in the automotive industry, revolutionizing transportation systems with their potential to improve safety, efficiency, and overall user experience. The communication aspect of CAVs is vital to enable their advanced capabilities. In this article, we focus on analyzing the current landscape, challenges, and future vision of CAVs from a 5G perspective. Unlike previous theoretical studies, our approach is grounded in empirical evidence obtained through trials conducted over a commercial 5G deployment, considering two representative use cases: "Remote Driving" and "Quality of Service (QoS)-based Level-of-Automation Selection." Based on the quantitative findings, we identify and discuss several open challenges that need to be overcome to seamlessly integrate CAVs into the 5G ecosystem. Furthermore, we outline prospective enablers for solutions and enhancements that can address the identified shortcomings and provide a solid foundation for the future of CAVs in the context of 6G. Overall, this research contributes to the ongoing efforts to optimize communication systems for CAVs, facilitating their safe and efficient integration into the future smart transportation ecosystem.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stai2024scalable,

title = {A Scalable and Efficient Backpressure-Based Scheduling Framework for Supply Chain Networks},

author = {Eleni Stai and Vasileios Karyotis and Panos E. Kourouthanassis},

url = {https://doi.org/10.1109/access.2024.3452276},

doi = {10.1109/access.2024.3452276},

year  = {2024},

date = {2024-01-01},

journal = {IEEE Access},

volume = {12},

pages = {122047–122060},

publisher = {Institute of Electrical and Electronics Engineers},

abstract = {Supply chain networks have proven to be rather important and delicate to seemingly small perturbations of their operations. Although scheduling has been extensively studied in logistics systems, there are several remaining open challenges regarding scalability, stability, and other quality indices. In this work, we present a novel framework denoted as BackPressure-style Packet transfer algorithm for Logistics Systems (BPLS) for making jointly optimal routing and scheduling decisions in freight networks. The proposed approach is based on the backpressure algorithm and maximum weight matching, which have been extensively applied for optimal routing and scheduling of data packet transmissions in communications networks. Our goal is to develop a broader optimal transfer process for freight networks consisting of multiple entities, such as last-mile companies, freight subcontractors, etc., addressing all the previously mentioned challenges and in addition, allow for setting different optimization goals regarding the offered quality of service. Special features of freight networks such as the limited capacities of both storage places and transportation means along with the time-varying availability of the latter are considered by means of integrating pressure functions in the original backpressure approach. We provide extensive simulations with evaluation and comparison results on the performance of the approach, demonstrating its potential to improve up to more than$100times $on the traditional BP algorithm. In addition, we have incorporated an implementation in an operational information system to assess the potentials of BPLS with multiple interested stakeholders. Through simulations and the actual evaluation, we were able to show how the framework can be used to provide long and short term decisions for optimizing holistically freight networks.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{alexandridis2024streetlines,

title = {StreetLines: A Smart and Scalable Tourism Platform Based on Efficient Knowledge-Mining},

author = {Georgios Alexandridis and Georgios Siolas and Tasos Papagiannis and George Ioannou and Konstantinos Michalakis and George Caridakis and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.3390/digital4030034},

doi = {10.3390/digital4030034},

year  = {2024},

date = {2024-01-01},

journal = {Digital},

volume = {4},

number = {3},

pages = {676–697},

publisher = {MDPI AG},

abstract = {Identifying and understanding visitor needs and expectations is of the utmost importance for a number of stakeholders and policymakers involved in the touristic domain. Apart from traditional forms of feedback, an abundance of related information exists online, scattered across various data sources like online social media, tourism-related platforms, traveling blogs, forums, etc. Retrieving and analyzing the aforementioned content is not a straightforward task and in order to address this challenge, we have developed the StreetLines platform, a novel information system that is able to collect, analyze and produce insights from the available tourism-related data. Its highly modular architecture allows for the continuous monitoring of varying pools of heterogeneous data sources whose contents are subsequently stored, after preprocessing, in a data repository. Following that, the aforementioned data feed a number of independent and parallel processing modules that extract useful information for all individuals involved in the tourism domain, like place recommendation for visitors and sentiment analysis and keyword extraction reports for professionals in the tourism industry. The presented platform is an outcome of the StreetLines project and apart from the contributions of its individual components, its novelty lies in the holistic approach to knowledge extraction and tourism data mining.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chakkol20241083,

title = {Making supply chains great again: examining structural changes to US manufacturing supply chains},

author = {M. Chakkol and M. Johnson and A. Karatzas and G. Papadopoulos and N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85168112831&doi=10.1108%2fIJOPM-12-2022-0783&partnerID=40&md5=01cacfff17d30ab3cd4a76567b6dce0b},

doi = {10.1108/IJOPM-12-2022-0783},

year  = {2024},

date = {2024-01-01},

journal = {International Journal of Operations and Production Management},

volume = {44},

number = {5},

pages = {1083-1108},

note = {cited By 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yang2024,

title = {Mapping the signaling environment between sustainability-focused entrepreneurship and investment inputs: A topic modeling approach},

author = {N. Yang and D. Dousios and N. Korfiatis and K. Chalvatzis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190362254&doi=10.1002%2fbse.3748&partnerID=40&md5=08ee6c3347e3f905f5bd7c239110c0b8},

doi = {10.1002/bse.3748},

year  = {2024},

date = {2024-01-01},

journal = {Business Strategy and the Environment},

note = {cited By 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chasapi2024impact,

title = {The Impact of Organizational Resources on Organizational Agility in Hospitality Industry: A Dynamic Capabilities Approach},

author = {Panagiota Chasapi and Adamantia G. Pateli and Naoum Mylonas and Panos E. Kourouthanassis},

url = {https://doi.org/10.1002/jtr.2779},

doi = {10.1002/jtr.2779},

year  = {2024},

date = {2024-01-01},

journal = {International Journal of Tourism Research},

volume = {26},

number = {5},

publisher = {Wiley},

abstract = {The present study investigates the relationship between organizational resources (financial, social, and technological capital) and dynamic capabilities development in crises periods. Through quantitative research, a theoretical framework that is based on resource‐based view and dynamic capabilities view is validated for the first time in the hospitality industry. In practice, it is explored whether the hospitality firms—based on their own resources—can develop the dynamic capability of organizational agility that enables them to cope with turbulent and unstable environments. The empirical research was conducted with the sample of 502 hospitality firms in Greece during the COVID‐19 era. The findings confirm that financial and technological capital have a positive influence on the development of agility‐related dynamic capabilities, and specifically market capitalizing agility and operational adjustment agility, for the hospitality industry during turbulent periods. Instead, social capital has a negative and no effect respectively on these two dynamic capabilities.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{krokidis2024challenges,

title = {Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases},

author = {Marios G. Krokidis and Georgios N. Dimitrakopoulos and Aristidis G. Vrahatis and Themis P. Exarchos and Panagiotis Vlamos},

url = {https://doi.org/10.3389/fncom.2023.1323182},

doi = {10.3389/fncom.2023.1323182},

year  = {2024},

date = {2024-01-01},

journal = {Frontiers in Computational Neuroscience},

volume = {17},

pages = {1323182},

publisher = {Frontiers Media},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{paplomatas2024feature,

title = {Feature selection in single-cell RNA sequencing data: a comprehensive evaluation},

author = {Petros Paplomatas and Konstantinos Lazaros and Georgios N. Dimitrakopoulos and Aristidis G. Vrahatis},

url = {https://doi.org/10.20935/acadbiol7324},

doi = {10.20935/acadbiol7324},

year  = {2024},

date = {2024-01-01},

journal = {Academia Biology},

volume = {2},

number = {3},

publisher = {Academia.edu Journals},

abstract = {Single-cell RNA sequencing (scRNA-seq) has revolutionized biological and medical research, providing unique insights into the intricate cell-type compositions within various tissues. Unlike bulk RNA sequencing, scRNA-seq allows for examining gene expression at the individual cell level, revealing cellular heterogeneity and identifying rare cell types. However, the high dimensionality and inherent noise in scRNA-seq data pose significant analytical challenges. This study focuses on dimensionality reduction and cell-type identification in scRNA-seq data analysis. We developed the GenesRanking package, which offers 20 techniques for dimensionality reduction, including filter-based and embedding machine learning–based methods. By integrating feature selection methods from both statistics and machine learning, we provide a robust framework for improving data interpretation. Our comprehensive evaluation across five diverse scRNA-seq datasets demonstrates that although some methods show consistent performance, the technique should be chosen according to specific datasets for obtaining optimal results. Our findings underscore the enduring necessity for further refinement and continuous innovation in the field of scRNA-seq analysis, aiming to enhance the accuracy of cell-type identification and improve overall data interpretation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{giannakopoulou2024individual,

title = {Individual Variability in Brain Connectivity Patterns and Driving-Fatigue Dynamics},

author = {Olympia Giannakopoulou and Ioannis Kakkos and Georgios N. Dimitrakopoulos and Marilena Tarousi and Yu Sun and Anastasios Bezerianos and Dimitris Koutsouris and George K. Matsopoulos},

url = {https://doi.org/10.3390/s24123894},

doi = {10.3390/s24123894},

year  = {2024},

date = {2024-01-01},

journal = {Sensors},

volume = {24},

number = {12},

pages = {3894},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {Mental fatigue during driving poses significant risks to road safety, necessitating accurate assessment methods to mitigate potential hazards. This study explores the impact of individual variability in brain networks on driving fatigue assessment, hypothesizing that subject-specific connectivity patterns play a pivotal role in understanding fatigue dynamics. By conducting a linear regression analysis of subject-specific brain networks in different frequency bands, this research aims to elucidate the relationships between frequency-specific connectivity patterns and driving fatigue. As such, an EEG sustained driving simulation experiment was carried out, estimating individuals' brain networks using the Phase Lag Index (PLI) to capture shared connectivity patterns. The results unveiled notable variability in connectivity patterns across frequency bands, with the alpha band exhibiting heightened sensitivity to driving fatigue. Individualized connectivity analysis underscored the complexity of fatigue assessment and the potential for personalized approaches. These findings emphasize the importance of subject-specific brain networks in comprehending fatigue dynamics, while providing sensor space minimization, advocating for the development of efficient mobile sensor applications for real-time fatigue detection in driving scenarios.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{exarchos2024lip,

title = {Lip-Reading Advancements: A 3D Convolutional Neural Network/Long Short-Term Memory Fusion for Precise Word Recognition},

author = {Themis P. Exarchos and Georgios N. Dimitrakopoulos and Aristidis G. Vrahatis and Georgios Chrysovitsiotis and Zoi Zachou and Efthymios Kyrodimos},

url = {https://doi.org/10.3390/biomedinformatics4010023},

doi = {10.3390/biomedinformatics4010023},

year  = {2024},

date = {2024-01-01},

journal = {BioMedInformatics},

volume = {4},

number = {1},

pages = {410–422},

publisher = {MDPI AG},

abstract = {Lip reading, the art of deciphering spoken words from the visual cues of lip movements, has garnered significant interest for its potential applications in diverse fields, including assistive technologies, human–computer interaction, and security systems. With the rapid advancements in technology and the increasing emphasis on non-verbal communication methods, the significance of lip reading has expanded beyond its traditional boundaries. These technological advancements have led to the generation of large-scale and complex datasets, necessitating the use of cutting-edge deep learning tools that are adept at handling such intricacies. In this study, we propose an innovative approach combining 3D Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks to tackle the challenging task of word recognition from lip movements. Our research leverages a meticulously curated dataset, named MobLip, encompassing various speech patterns, speakers, and environmental conditions. The synergy between the spatial information extracted by 3D CNNs and the temporal dynamics captured by LSTMs yields impressive results, achieving an accuracy rate of up to 87.5%, showcasing robustness to lighting variations and speaker diversity. Comparative experiments demonstrate our model’s superiority over existing lip-reading approaches, underlining its potential for real-world deployment. Furthermore, we discuss ethical considerations and propose avenues for future research, such as multimodal integration with audio data and expanded language support. In conclusion, our 3D CNN-LSTM architecture presents a promising solution to the complex problem of word recognition from lip movements, contributing to the advancement of communication technology and opening doors to innovative applications in an increasingly visual world.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Stavropoulou2024,

title = {Digital Twin Meets Knowledge Graph for Intelligent Manufacturing Processes},

author = {G. Stavropoulou and K. Tsitseklis and L. Mavraidi and K. -I. Chang and A. Zafeiropoulos and V. Karyotis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191412428&doi=10.3390%2fs24082618&partnerID=40&md5=cf5b51c8b7dcd4b785279973b67a7847},

doi = {10.3390/s24082618},

issn = {14248220},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

journal = {Sensors},

volume = {24},

number = {8},

publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},

abstract = {In the highly competitive field of material manufacturing, stakeholders strive for the increased quality of the end products, reduced cost of operation, and the timely completion of their business processes. Digital twin (DT) technologies are considered major enablers that can be deployed to assist the development and effective provision of manufacturing processes. Additionally, knowledge graphs (KG) have emerged as efficient tools in the industrial domain and are able to efficiently represent data from various disciplines in a structured manner while also supporting advanced analytics. This paper proposes a solution that integrates a KG and DTs. Through this synergy, we aimed to develop highly autonomous and flexible DTs that utilize the semantic knowledge stored in the KG to better support advanced functionalities. The developed KG stores information about materials and their properties and details about the processes in which they are involved, following a flexible schema that is not domain specific. The DT comprises smaller Virtual Objects (VOs), each one acting as an abstraction of a single step of the Industrial Business Process (IBP), providing the necessary functionalities that simulate the corresponding real-world process. By executing appropriate queries to the KG, the DT can orchestrate the operation of the VOs and their physical counterparts and configure their parameters accordingly, in this way increasing its self-awareness. In this article, the architecture of such a solution is presented and its application in a real laser glass bending process is showcased. © 2024 by the authors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dimitriou202445044,

title = {Empowering Random Walk Link Prediction Algorithms in Complex Networks by Adapted Structural Information},

author = {P. Dimitriou and V. Karyotis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189142829&doi=10.1109%2fACCESS.2024.3381510&partnerID=40&md5=87890e22714752dd52338e7a791b1f94},

doi = {10.1109/ACCESS.2024.3381510},

issn = {21693536},

year  = {2024},

date = {2024-01-01},

journal = {IEEE Access},

volume = {12},

pages = {45044-45059},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {In the link prediction problem a relevant algorithm running over a network attempts to determine whether a link between two nodes will exist in the future, given that it is not present at the moment. Most link prediction algorithms take into account the structure of the network on which they are applied and based on this, they attempt to predict the existence or not of future new edges in the network. However, many of them are quite standardized, applying the same concept and parametrization to all networks, thus not always achieving good results in every different network structure. Algorithms based on Graph Neural Networks (GNNs) are more adaptive to any network structure but they do not give appreciable results when the only information available is the network structure. In this paper, we propose a new approach to this problem that approximates the structure of a complex network by allowing adjusted weight to this network structure to create additional information, which we can embed into effective algorithms such as local and superposed random walk link prediction. To achieve this goal, we use well-known kernel functions such as Sigmoids, in which we fit their parameters appropriately by a genetic algorithm to achieve the best possible approximation. To demonstrate the effectiveness of our proposed method we have compared our prediction method results based on precision, AUC and AUPR on eleven selected networks of different structures and properties with seven well-known link prediction algorithms and one more utilizing GNNs. In every case, we have improved the results of random walk algorithms and in most cases we achieved better results from all employed benchmark algorithms. © 2013 IEEE.},

note = {cited By 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kakkavas20241029,

title = {Generative Deep Learning Techniques for Traffic Matrix Estimation from Link Load Measurements},

author = {G. Kakkavas and N. Fryganiotis and V. Karyotis and S. Papavassiliou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183941616&doi=10.1109%2fOJCOMS.2024.3358740&partnerID=40&md5=bbc1e767cb9b5d8bf30cadd9973dd81a},

doi = {10.1109/OJCOMS.2024.3358740},

issn = {2644125X},

year  = {2024},

date = {2024-01-01},

journal = {IEEE Open Journal of the Communications Society},

volume = {5},

pages = {1029-1046},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Traffic matrices (TMs) contain crucial information for managing networks, optimizing traffic flow, and detecting anomalies. However, directly measuring traffic to construct a TM is resource-intensive and computationally expensive. A more practical approach involves estimating the TM from readily available link load measurements, which falls under the category of inferential network monitoring based on indirect measurements known as network tomography. This paper focuses on solving the problem of estimating the traffic matrix from link loads by utilizing deep generative models. The proposed models are trained using historical data - specifically, previously observed TMs - and are then leveraged to transform traffic matrix estimation (TME) into a simpler minimization problem in a lower-dimensional latent space. This transformed problem can be efficiently solved using a gradient-based optimizer. Our work aims to examine and test different model architectures and optimization approaches. The performance of the proposed methods is comparatively evaluated over a comprehensive set of suitable metrics on two publicly available datasets comprising actual traffic matrices obtained from real backbone networks. In addition, we compare our approach with a state-of-the-art method previously published in the literature. © 2020 IEEE.},

note = {cited By 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{faliagka2024trends,

title = {Trends in Digital Twin Framework Architectures for Smart Cities: A Case Study in Smart Mobility},

author = {Evanthia Faliagka and Eleni Christopoulou and Dimitrios Ringas and Christina Politi and Nikos Kostis and Dimitris Leonardos and Christos Tranoris and Christos Antonopoulos and Spyros Denazis and Nikolaos Voros},

url = {https://doi.org/10.3390/s24051665},

doi = {10.3390/s24051665},

year  = {2024},

date = {2024-01-01},

journal = {Sensors},

volume = {24},

number = {5},

pages = {1665},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {The main aim of this paper is to present an innovative approach to addressing the challenges of smart mobility exploiting digital twins within the METACITIES initiative. We have worked on this issue due to the increasing complexity of urban transportation systems, coupled with the urgent need to improve efficiency, safety, and sustainability in cities. The work presented in this paper is part of the project METACITIES, an Excellence Hub that spans a large geographical area, that of Southeastern Europe. The approach of the Greek innovation ecosystem of METACITIES involves leveraging digital twin technology to create intelligent replicas of urban mobility environments, enabling real-time monitoring, analysis, and decision making. Through use cases such as "Smart Parking", "Environmental Behavior Analysis on Traffic Incidents", and "Emergency Management", we demonstrate how digital twins can optimize traffic flow, mitigate environmental impact, and enhance emergency response; these use cases will be tested on a small scale, before deciding on implementation at a larger and more expensive scale. The final outcome is the METACITIES Architecture for smart mobility, which will be part of an Open Digital Twin Framework capable of evolving a smart city into a metacity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{karagiannis2024nice,

title = {Towards NICE-by-Design Cybersecurity Learning Environments: A Cyber Range for SOC Teams},

author = {Stylianos Karagiannis and Emmanouil Magkos and Eleftherios Karavaras and Antonios Karnavas and Maria Nefeli Nikiforos and Christoforos Ntantogian},

url = {https://doi.org/10.1007/s10922-024-09816-w},

doi = {10.1007/s10922-024-09816-w},

year  = {2024},

date = {2024-01-01},

journal = {Journal of Network and Systems Management},

volume = {32},

number = {2},

pages = {42},

publisher = {Springer Science and Business Media LLC},

abstract = {Cybersecurity has become an increasingly important field as cyber threats continue to grow in number and complexity. The NICE framework, developed by NIST, provides a structured approach to cybersecurity education. Despite the publication of cybersecurity frameworks, scenario design in cybersecurity is not yet governed by structured design principles, leading to ambiguous learning outcomes. This research uses the NICE framework to provide structure design and development of a cyber range and the relevant scenarios. The proposed methodology and research results can assist the scenario design in cybersecurity and as a methodological procedure for evaluation. Finally, the research provides a better understanding of the NICE framework and demonstrates how it can assist in creating practical cybersecurity scenarios.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Nikopoulou202440,

title = {The Role of Organizational Innovativeness and Size on Information and Communication Technology (ICT) Adoption During COVID-19: Evidence From the Hospitality Industry},

author = {M. Nikopoulou and P. Kourouthanassis and A. Pateli},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188427127&doi=10.37741%2ft.72.1.4&partnerID=40&md5=f35994a12637ddf2b03794d13727b3e1},

doi = {10.37741/t.72.1.4},

year  = {2024},

date = {2024-01-01},

journal = {Tourism},

volume = {72},

number = {1},

pages = {40-55},

note = {cited By 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{linardou2023clinical,

title = {Clinical and molecular study with digital support of advanced non-small cell lung cancer patients: SNF-CLIMEDIN, a prospective randomized Hellenic Cooperative Oncology Group (HeCOG) study: Interim analysis},

author = {Helena Linardou and T. Kosmidis and Kyriaki Papadopoulou and Nikolaos Korfiatis and Sofia Lampaki and Elena Fountzilas and Amanda Psyrri and Anastasios Vagionas and Athina Christopoulou and Epaminontas Samantas and Ilias Athanasiadis and Giannis Mountzios and Nikolaos Tsoukalas and Joseph Sgouros and A. Koutras and D. Bafaloukos and C Panopoulos and George Fountzilas and P. Kosmidis},

url = {https://doi.org/10.1016/j.annonc.2023.09.2466},

doi = {10.1016/j.annonc.2023.09.2466},

year  = {2023},

date = {2023-01-01},

journal = {Annals of Oncology},

volume = {34},

publisher = {Elsevier BV},

note = {Conference abstract 1435P},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nikopoulou2023determinants,

title = {Determinants of Digital Transformation in the Hospitality Industry: Technological, Organizational, and Environmental Drivers},

author = {Maria Nikopoulou and Panos Kourouthanassis and Giota Chasapi and Adamantia Pateli and Naoum Mylonas},

url = {https://doi.org/10.3390/su15032736},

doi = {10.3390/su15032736},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

journal = {Sustainability},

volume = {15},

number = {3},

pages = {2736},

publisher = {MDPI},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dimitriou2023combinatory,

title = {A Combinatory Framework for Link Prediction in Complex Networks},

author = {Paraskevas Dimitriou and Vasileios Karyotis},

url = {https://doi.org/10.3390/app13179685},

doi = {10.3390/app13179685},

year  = {2023},

date = {2023-01-01},

journal = {Applied Sciences},

volume = {13},

number = {17},

pages = {9685},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {Link prediction is a very important field in network science with various emerging algorithms, the goal of which is to estimate the presence or absence of an edge in the network. Depending on the type of network, different link prediction algorithms can be applied, being less or more effective in the relevant scenarios. In this work, we develop a novel framework that attempts to compose the best features of link prediction algorithms when applied to a network, in order to have even more reliable predictions, especially in topologies emerging in Industrial Internet of Things (IIoT) environments. According to the proposed framework, we first apply appropriate link prediction algorithms that we have chosen for an analyzed network (basic algorithms). Each basic algorithm gives us a numerical estimate for each missing edge in the network. We store the results of each basic algorithm in appropriate structures. Then we provide them as input to a developed genetic algorithm. The genetic algorithm evaluates the results of the basic algorithms for each missing edge of the network. At each missing edge of the network and from generation to generation, it composes the estimates of the basic algorithms regarding each edge and produces a new optimized estimate. This optimization results in a vector of weights where each weight corresponds to the effectiveness of the prediction for each of the basic algorithms we have employed. With these weights, we build a new enhanced predictor tool, which can obtain new optimized estimates for each missing edge in the network. The enhanced predictor tool applies to each missing edge the basic algorithms, normalizes the basic algorithms’ estimates, and, using the weights of the estimates derived from the genetic algorithm, returns a new estimate of whether or not an edge will be added in the future. According to the results of our experiments on several types of networks with five well-known link prediction algorithms, we show that the new enhanced predictor tool yields in every case better predictions than each individual algorithm, therefore providing an accuracy-targeting alternative in the existing state of the art.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Karatzas20231121,

title = {Front- and back-end employee satisfaction during service transition},

author = {A. Karatzas and G. Papadopoulos and P. Stamolampros and J. Z. Raja and N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85146287671&doi=10.1108%2fIJOPM-06-2022-0352&partnerID=40&md5=aaab6ee17bf8e9deba30438547bf14ff},

doi = {10.1108/IJOPM-06-2022-0352},

year  = {2023},

date = {2023-01-01},

journal = {International Journal of Operations and Production Management},

volume = {43},

number = {7},

pages = {1121-1147},

note = {cited By 1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Argyropoulou2023460,

title = {Horizontal collaboration in the last mile distribution: gauging managerial response to disruption and abnormal demand},

author = {M. Argyropoulou and D. Zissis and N. Korfiatis and E. Zampou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126354347&doi=10.1108%2fBIJ-06-2021-0328&partnerID=40&md5=14ebd486a4a11a9355efa73cb560a93b},

doi = {10.1108/BIJ-06-2021-0328},

year  = {2023},

date = {2023-01-01},

journal = {Benchmarking},

volume = {30},

number = {2},

pages = {460-474},

note = {cited By 6},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Yang2023,

title = {Incorporating topic membership in review rating prediction from unstructured data: a gradient boosting approach},

author = {N. Yang and N. Korfiatis and D. Zissis and K. Spanaki},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162233226&doi=10.1007%2fs10479-023-05336-z&partnerID=40&md5=9ff3d3a1fbdb5fc860830719ef0e6fd0},

doi = {10.1007/s10479-023-05336-z},

year  = {2023},

date = {2023-01-01},

journal = {Annals of Operations Research},

note = {cited By 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Dimitriou2023,

title = {On the computation of Delaunay triangulations via genetic algorithms},

author = {P. Dimitriou and V. Karyotis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180719695&doi=10.1007%2fs12065-023-00893-5&partnerID=40&md5=ce28c67dcb7bd7bbfa3417161b1fa975},

doi = {10.1007/s12065-023-00893-5},

issn = {18645909},

year  = {2023},

date = {2023-01-01},

journal = {Evolutionary Intelligence},

volume = {13},

number = {17},

publisher = {Springer Science and Business Media Deutschland GmbH},

abstract = {In this work, we introduce a new approach for computing Delaunay triangulations. Delaunay triangulations have numerous applications in geolocation, communications and other ICT systems or practical applications. Having available various types of approaches for computing such structures is rather desired from an implementation and computational point of view. We adopt Genetic Algorithms for computing Delaunay triangulations and present the design and evaluation of our novel approach. We consider a set of points in the plane as vertices and connect them with edges, creating the point graph. We have developed in C++ an application framework based on genetic algorithms, called Delaunay_Genetic, which produces the Delaunay triangulation structure of a given set of points in the plane. Delaunay_Genetic considers a novel graph-based chromosome representation of desired solutions, creates an initial population of individuals (chromosomes), an initial generation, and produces from the original population (generation) new generations of individuals in each repetition of the genetic process of Reproduction. Each new generation emerges more robust than the previous one. Our evaluations have revealed that the Delaunay triangulation yielded by Delaunay_Genetic, achieves an accuracy of 98–100% of the optimal Delaunay triangulation, while maintaining good convergence speed. Despite its limitations in computational time and space, the proposed novel approach exhibits several complementary benefits to computational geometry based approaches, such as allowing the insertion of new points in the triangulation dynamically, leading to seamless adaptation to new conditions, parallelization of the computational process and tolerance to noise regarding the coordinates of the points. Therefore, this work provides a useful alternative approach for computing Delaunay triangulations. © 2023, The Author(s).},

note = {cited By 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dimitrakopoulos2023cognitive,

title = {Cognitive Reorganization Due to Mental Workload: A Functional Connectivity Analysis Based on Working Memory Paradigms},

author = {Georgios N. Dimitrakopoulos and Ioannis Kakkos and Athanasios Anastasiou and Anastasios Bezerianos and Yu Sun and George K. Matsopoulos},

url = {https://doi.org/10.3390/app13042129},

doi = {10.3390/app13042129},

year  = {2023},

date = {2023-01-01},

journal = {Applied Sciences},

volume = {13},

number = {4},

pages = {2129},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {Mental workload has a major effect on the individual’s performance in most real-world tasks, which can lead to significant errors in critical operations. On this premise, the analysis and assessment of mental workload attain high research interest in both the fields of Neuroergonomics and Neuroscience. In this work, we implemented an EEG experimental design consisting of two distinct mental tasks (mental arithmetic task, n-back task), each with two conditions of complexity (low and high) to investigate the task-related and task-unrelated workload effects. Since mental workload is an intricate phenomenon involving multiple brain areas, we performed a graph theoretical analysis estimating the Phase Locking Index (PLI) in four frequency bands (delta, theta, alpha, beta). The brainwave-dependent network results show statistically significant reductions in clustering coefficient, characteristic path length, and small-worldness metrics with higher workload in both tasks across several bands. Moreover, functional connectivity analysis indicates a task-independent fashion of the brain topological re-organization with increasing mental load. These results revealed how the brain network is re-organized with increasing mental workload in a task-independent way. Finally, the network metrics were used as classification features, leading to high performance in workload level discrimination.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dimitrakopoulos2023drug,

title = {Drug and Protein Interaction Network Construction for Drug Repurposing in Alzheimer’s Disease},

author = {Georgios N. Dimitrakopoulos and Aristidis G. Vrahatis and Themis P. Exarchos and Marios G. Krokidis and Panagiotis Vlamos},

url = {https://doi.org/10.3390/futurepharmacol3040045},

doi = {10.3390/futurepharmacol3040045},

year  = {2023},

date = {2023-01-01},

journal = {Future Pharmacology},

volume = {3},

number = {4},

pages = {731–741},

publisher = {MDPI AG},

abstract = {Alzheimer’s disease is one of the leading causes of death globally, significantly impacting countless families and communities. In parallel, recent advancements in molecular biology and network approaches, guided by the Network Medicine perspective, offer promising outcomes for Alzheimer’s disease research and treatment. In this study, we aim to discover candidate therapies for AD through drug repurposing. We combined a protein-protein interaction (PPI) network with drug-target interactions. Experimentally validated PPI data were collected from the PICKLE meta-database, while drugs and their protein targets were sourced from the DrugBank database. Then, based on RNA-Seq data, we first assigned weights to edges to indicate co-expression, and secondly, estimated differential gene expression to select a subset of genes potentially related to the disease. Finally, small subgraphs (modules) were extracted from the graph, centered on the genes of interest. The analysis revealed that even if there is no drug targeting several genes of interest directly, an existing drug might target a neighboring node, thus indirectly affecting the aforementioned genes. Our approach offers a promising method for treating various diseases by repurposing existing drugs, thereby reducing the cost and time of experimental procedures and paving the way for more precise Network Medicine strategies.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{tzimiris2023challenges,

title = {Challenges and Opportunities of Emergency Remote Teaching: Linguistic Analysis on School Directors’ Interviews},

author = {Spyridon Tzimiris and Maria Nefeli Nikiforos and Stefanos Nikiforos and Katia Lida Kermanidis},

url = {https://doi.org/10.24018/ejeng.2023.1.cie.3137},

doi = {10.24018/ejeng.2023.1.cie.3137},

year  = {2023},

date = {2023-01-01},

journal = {European Journal of Engineering and Technology Research},

pages = {53–60},

publisher = {European Open Science Publishing},

abstract = {This research delves into the experiences of primary school directors during the abrupt transition to Emergency Remote Teaching (ERT) due to the Covid-19 pandemic. Through semi-structured interviews, the organization and implementation of online classes, associated challenges, and potential improvements were scrutinized. Findings underscored a lack of preparedness, yet acknowledged ERT as a vital tool during the crisis. Recommendations included the improvement of technological support, designing a well-planned strategy, creating appropriate teaching content, comprehensive staff training, and tailoring the educational content to fit students’ learning styles or special needs. A Linguistic Text Analysis approach, employing word clouds, treemaps, and sentiment analysis charts to graphically depict complex patterns in the data, enriched our understanding of the ERT transition, shedding light on subtler nuances and insights. This study contributes valuable knowledge, offering a roadmap for the future development of robust, flexible, and inclusive educational policies and practices, particularly in crisis situations. The dataset is an invaluable asset for policymakers, providing critical insights and highlighting the challenges and opportunities that arise.},

note = {Special issue: Proceedings of the Conference on Informatics in Education (CIE)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{varthis2023metagraphos,

title = {metaGraphos: a Web-based system for transcribing, proofreading and publishing scanned documents},

author = {Evagelos Varthis and Marios Poulos},

url = {https://doi.org/10.1108/cc-01-2023-0002},

doi = {10.1108/cc-01-2023-0002},

year  = {2023},

date = {2023-01-01},

journal = {Collection and Curation},

volume = {42},

number = {4},

pages = {101–110},

publisher = {Emerald},

abstract = {Purpose: This study aims to present metaGraphos, a crowdsourcing system that aids in the transcription and semantic enhancement of scanned documents by using a pool of volunteers or people willing to participate in exchange for a financial reward. Design/methodology/approach: The metaGraphos can be used in circumstances where optical character recognition fails to produce satisfactory results, semantic tagging or assigning thematic headings to texts is considered necessary or even when ground-truth data has to be collected in raw form. Findings: The system automatically provides a Web-based interface comprising a static HTML page and JavaScript code that displays the scanned images of the document, coupled with the corresponding incomplete texts side by side, allowing users to correct or complete the texts in parallel. Social implications: By assisting the parallel transcription and the semantic enhancement of difficult scanned documents, the system further reveals the hidden cultural wealth and aids in knowledge dissemination, a fact that contributes significantly to the academic-scientific dialog and feedback. Originality/value: Individual researchers, libraries and organizations in general may benefit from the system because it is cost-effective, practical and simple to set up client–server architecture that provides a reliable way to transcribe texts or revise transcriptions on a large scale.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Nikiforos2023,

title = {Vocational Domain Identification with Machine Learning and Natural Language Processing on Wikipedia Text: Error Analysis and Class Balancing †},

author = {M. N. Nikiforos and K. Deliveri and K. L. Kermanidis and A. Pateli},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163617082&doi=10.3390%2fcomputers12060111&partnerID=40&md5=946cf5523adfabb6fc705fe24e9fdba3},

doi = {10.3390/computers12060111},

year  = {2023},

date = {2023-01-01},

journal = {Computers},

volume = {12},

number = {6},

note = {cited By 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Leonidou2022339,

title = {Drivers, outcomes, and moderators of consumer intention to buy organic goods: Meta-analysis, implications, and future agenda},

author = {L. C. Leonidou and P. P. Eteokleous and A. -M. Christofi and N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134350742&doi=10.1016%2fj.jbusres.2022.06.027&partnerID=40&md5=aa80a245377c085dadc9a1100b00449c},

doi = {10.1016/j.jbusres.2022.06.027},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Business Research},

volume = {151},

pages = {339-354},

note = {cited By 21},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Leonidou2022741,

title = {A Meta-analysis of the Antecedents and Outcomes of Consumer Foreign Country Image Perceptions: The Moderating Role of Macro-level Country Differences},

author = {L. C. Leonidou and B. Aykol and S. Samiee and N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137065635&doi=10.1007%2fs11575-022-00482-1&partnerID=40&md5=b339c56f003cf3e2b2d27f50862cd614},

doi = {10.1007/s11575-022-00482-1},

year  = {2022},

date = {2022-01-01},

journal = {Management International Review},

volume = {62},

number = {5},

pages = {741-784},

note = {cited By 4},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chopdar2022657,

title = {Examining the role of consumer impulsiveness in multiple app usage behavior among mobile shoppers},

author = {P. K. Chopdar and J. Paul and N. Korfiatis and M. D. Lytras},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119454161&doi=10.1016%2fj.jbusres.2021.11.031&partnerID=40&md5=9a5c4ebdf8f8f13159f8b24ecc66a3ab},

doi = {10.1016/j.jbusres.2021.11.031},

year  = {2022},

date = {2022-01-01},

journal = {Journal of Business Research},

volume = {140},

pages = {657-669},

note = {cited By 54},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Tsolakis20224508,

title = {Towards AI driven environmental sustainability: an application of automated logistics in container port terminals},

author = {N. Tsolakis and D. Zissis and S. Papaefthimiou and N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104889855&doi=10.1080%2f00207543.2021.1914355&partnerID=40&md5=52d969cfe0253171fb53ba51b1fddb2d},

doi = {10.1080/00207543.2021.1914355},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Production Research},

volume = {60},

number = {14},

pages = {4508-4528},

note = {cited By 34},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kakkavas2022design,

title = {Design, Development, and Evaluation of 5G-Enabled Vehicular Services: The 5G-HEART Perspective},

author = {Grigorios Kakkavas and Maria Diamanti and Adamantia Stamou and Vasileios Karyotis and Faouzi Bouali and Jarno Pinola and Olli Apilo and Symeon Papavassiliou and Klaus Moessner},

url = {https://doi.org/10.3390/s22020426},

doi = {10.3390/s22020426},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Sensors},

volume = {22},

number = {2},

pages = {426},

publisher = {MDPI},

abstract = {The ongoing transition towards 5G technology expedites the emergence of a variety of mobile applications that pertain to different vertical industries. Delivering on the key commitment of 5G, these diverse service streams, along with their distinct requirements, should be facilitated under the same unified network infrastructure. Consequently, in order to unleash the benefits brought by 5G technology, a holistic approach towards the requirement analysis and the design, development, and evaluation of multiple concurrent vertical services should be followed. In this paper, we focus on the Transport vertical industry, and we study four novel vehicular service categories, each one consisting of one or more related specific scenarios, within the framework of the “5G Health, Aquaculture and Transport (5G-HEART)” 5G PPP ICT-19 (Phase 3) project. In contrast to the majority of the literature, we provide a holistic overview of the overall life-cycle management required for the realization of the examined vehicular use cases. This comprises the definition and analysis of the network Key Performance Indicators (KPIs) resulting from high-level user requirements and their interpretation in terms of the underlying network infrastructure tasked with meeting their conflicting or converging needs. Our approach is complemented by the experimental investigation of the real unified 5G pilot’s characteristics that enable the delivery of the considered vehicular services and the initial trialling results that verify the effectiveness and feasibility of the presented theoretical analysis. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{avgeris2022enerdge,

title = {ENERDGE: Distributed energy-aware resource allocation at the edge},

author = {Marios Avgeris and Dimitrios Spatharakis and Dimitrios Dechouniotis and Aris Leivadeas and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.3390/s22020660},

doi = {10.3390/s22020660},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Sensors},

volume = {22},

number = {2},

pages = {660},

publisher = {MDPI},

abstract = {Mobile applications are progressively becoming more sophisticated and complex, increasing their computational requirements. Traditional offloading approaches that use exclusively the Cloud infrastructure are now deemed unsuitable due to the inherent associated delay. Edge Computing can address most of the Cloud limitations at the cost of limited available resources. This bottleneck necessitates an efficient allocation of offloaded tasks from the mobile devices to the Edge. In this paper, we consider a task offloading setting with applications of different characteristics and requirements, and propose an optimal resource allocation framework leveraging the amalgamation of the edge resources. To balance the trade-off between retaining low total energy consumption, respecting end-to-end delay requirements and load balancing at the Edge, we additionally introduce a Markov Random Field based mechanism for the distribution of the excess workload. The proposed approach investigates a realistic scenario, including different categories of mobile applications, edge devices with different computational capabilities, and dynamic wireless conditions modeled by the dynamic behavior and mobility of the users. The framework is complemented with a prediction mechanism that facilitates the orchestration of the physical resources. The efficiency of the proposed scheme is evaluated via modeling and simulation and is shown to outperform a well-known task offloading solution, as well as a more recent one. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kakkavas2022topology,

title = {Topology Inference and Link Parameter Estimation Based on End-to-End Measurements},

author = {Grigorios Kakkavas and Vasileios Karyotis and Symeon Papavassiliou},

year  = {2022},

date = {2022-01-01},

journal = {Future Internet},

volume = {14},

number = {2},

pages = {45},

publisher = {MDPI},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kallitsis2022potential,

title = {On the Potential of Enhancing Delay-Tolerant Routing Protocols via Age of Information},

author = {Georgios Kallitsis and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.3390/fi14080242},

doi = {10.3390/fi14080242},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Future Internet},

volume = {14},

number = {8},

pages = {242},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {In this paper, we study the potential of using the metric of Age of Information (AoI) for enhancing delay-tolerant routing protocols. The latter have been proposed for alleviating the impact of long roundtrip time in networks operating in harsh environments, e.g., in distributed applications deployed in a desert/sparsely populated area without infrastructure, a space network, etc. Delay-tolerant routing protocols can prevent excessive packet timer expiration, but do not provide any packet delivery time guarantee. Thus, they are unsuitable for time-sensitive applications that are more intensely desired nowadays in the next generation networking applications. By incorporating AoI into the operation of delay-tolerant routing protocols, we aim at devising routing protocols that can cope with both long propagation times and challenges related to time-sensitivity in packet delivery. More specifically, in this work, we modify the operation of a well-known delay-tolerant routing protocol, namely FRESH, to make AoI-based packet forwarding decisions, aiming at achieving specific delay guarantees regarding the end-to-end delivery time. We investigate the advantages and disadvantages of such an approach compared to the traditional FRESH protocol. This work serves as a cornerstone for successfully demonstrating the potential of exploiting AoI in delay-tolerant routing and its applications. © 2022 by the authors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{karageorgiou2022markov,

title = {Markov-Based Malware Propagation Modeling and Analysis in Multi-Layer Networks},

author = {Stavros Karageorgiou and Vasileios Karyotis},

url = {https://doi.org/10.3390/network2030028},

doi = {10.3390/network2030028},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {Network},

volume = {2},

number = {3},

pages = {456--478},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {In this paper, we focus on the dynamics of the spread of malicious software (malware) in multi-layer networks of various types, e.g., cyber-physical systems. Recurring malware has been one of the major challenges in modern networks, and significant research and development has been dedicated to mitigating it. The majority of relevant works has focused on networks characterized by “flat” topologies, namely topologies in which all nodes consist of a single layer, studying the dynamics of propagation of a specific threat or various types of malware over a homogeneous topology. As cyber-physical systems and multi-layer networks in general are gaining in popularity and penetration, more targeted studies are needed. In this work, we focus on the propagation dynamics of recurring malware, namely Susceptible–Infected–Susceptible (SIS type) in multi-layer topologies consisting of combinations of two different types of networks, e.g., a small-world overlaying a random geometric, or other such combinations. We utilize a stochastic modeling framework based on Markov Random Fields for analyzing the propagation dynamics of malware over such networks. Through analysis and simulation, we discover the most vulnerable and the most robust topology among the six considered combinations, as well as a result of rather practical use, namely that the denser the network, the more flexibility it provides for malware mitigation eventually. © 2022 by the authors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{krokidis2022sensor,

title = {A Sensor-Based Perspective in Early-Stage Parkinson’s Disease: Current State and the Need for Machine Learning Processes},

author = {Marios G. Krokidis and Georgios N. Dimitrakopoulos and Aristidis G. Vrahatis and Christos Tzouvelekis and Dimitrios Drakoulis and Foteini Papavassileiou and Themis P. Exarchos and Panagiotis Vlamos},

url = {https://doi.org/10.3390/s22020409},

doi = {10.3390/s22020409},

year  = {2022},

date = {2022-01-01},

journal = {Sensors},

volume = {22},

number = {2},

pages = {409},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {Parkinson's disease (PD) is a progressive neurodegenerative disorder associated with dysfunction of dopaminergic neurons in the brain, lack of dopamine and the formation of abnormal Lewy body protein particles. PD is an idiopathic disease of the nervous system, characterized by motor and nonmotor manifestations without a discrete onset of symptoms until a substantial loss of neurons has already occurred, enabling early diagnosis very challenging. Sensor-based platforms have gained much attention in clinical practice screening various biological signals simultaneously and allowing researchers to quickly receive a huge number of biomarkers for diagnostic and prognostic purposes. The integration of machine learning into medical systems provides the potential for optimization of data collection, disease prediction through classification of symptoms and can strongly support data-driven clinical decisions. This work attempts to examine some of the facts and current situation of sensor-based approaches in PD diagnosis and discusses ensemble techniques using sensor-based data for developing machine learning models for personalized risk prediction. Additionally, a biosensing platform combined with clinical data processing and appropriate software is proposed in order to implement a complete diagnostic system for PD monitoring.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dimitrakopoulos2022far,

title = {How Far Are We from the Completion of the Human Protein Interactome Reconstruction?},

author = {Georgios N. Dimitrakopoulos and Maria I. Klapa and Nicholas K. Moschonas},

url = {https://doi.org/10.3390/biom12010140},

doi = {10.3390/biom12010140},

year  = {2022},

date = {2022-01-01},

journal = {Biomolecules},

volume = {12},

number = {1},

pages = {140},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {After more than fifteen years from the first high-throughput experiments for human protein-protein interaction (PPI) detection, we are still wondering how close the completion of the genome-scale human PPI network reconstruction is, what needs to be further explored and whether the biological insights gained from the holistic investigation of the current network are valid and useful. The unique structure of PICKLE, a meta-database of the human experimentally determined direct PPI network developed by our group, presently covering ~80% of the UniProtKB/Swiss-Prot reviewed human complete proteome, enables the evaluation of the interactome expansion by comparing the successive PICKLE releases since 2013. We observe a gradual overall increase of 39%, 182%, and 67% in protein nodes, PPIs, and supporting references, respectively. Our results indicate that, in recent years, (a) the PPI addition rate has decreased, (b) the new PPIs are largely determined by high-throughput experiments and mainly concern existing protein nodes and (c), as we had predicted earlier, most of the newly added protein nodes have a low degree. These observations, combined with a largely overlapping k-core between PICKLE releases and a network density increase, imply that an almost complete picture of a structurally defined network has been reached. The comparative unsupervised application of two clustering algorithms indicated that exploring the full interactome topology can reveal the protein neighborhoods involved in closely related biological processes as transcriptional regulation, cell signaling and multiprotein complexes such as the connexon complex associated with cancers. A well-reconstructed human protein interactome is a powerful tool in network biology and medicine research forming the basis for multi-omic and dynamic analyses.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{karagiannis2022analysis,

title = {Analysis and Evaluation of Capture the Flag Challenges in Secure Mobile Application Development},

author = {Stylianos Karagiannis and Emmanouil Magkos and George Chalavazis and Maria Nefeli Nikiforos},

url = {https://doi.org/10.5121/ijite.2022.11202},

doi = {10.5121/ijite.2022.11202},

year  = {2022},

date = {2022-01-01},

journal = {International Journal on Integrating Technology in Education},

volume = {11},

number = {2},

pages = {19–35},

publisher = {Academy and Industry Research Collaboration Center (AIRCC)},

abstract = {Capture the Flag (CTF) challenges are frequently used as cybersecurity learning environments to engage students in cybersecurity education activities and learning, focusing on technical concepts. CTF challenges cover various learning topics. However, they do not always maintain a clear learning outcome. In this paper, we present a systematic approach to study and evaluate CTF challenges, then apply the evaluation methodology in two CTF challenges that relate to the development of secure mobile applications. For this proof of concept, we used the National Initiative for Cybersecurity Education (NICE) which is a cybersecurity educational framework published by the National Institute of Standards and Technology (NIST). Additional information was used for the evaluation process which included threat, vulnerability, and weakness taxonomies proposed by Open Web Application Security Project® (OWASP) and Mitre Corporation (MITRE). The evaluation methodology could be used to assess and determine the learning outcomes of other existing or upcoming CTF challenges, including though not limited to secure mobile application development.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kloutsiniotis2022,

title = {Transformational Leadership, HRM practices and burnout during the COVID-19 pandemic: The role of personal stress, anxiety, and workplace loneliness},

author = {P. V. Kloutsiniotis and D. M. Mihail and N. Mylonas and A. Pateli},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123318530&doi=10.1016%2fj.ijhm.2022.103177&partnerID=40&md5=b2bc134fe58bd75053ffdcb205bbeaa0},

doi = {10.1016/j.ijhm.2022.103177},

year  = {2022},

date = {2022-01-01},

journal = {International Journal of Hospitality Management},

volume = {102},

note = {cited By 54},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Steininger2022447,

title = {Dynamic Capabilities in Information Systems Research: A Critical Review, Synthesis of Current Knowledge, and Recommendations for Future Research},

author = {D. M. Steininger and P. Mikalef and A. Pateli and A. Ortiz-De-guinea},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126625462&doi=10.17705%2f1jais.00736&partnerID=40&md5=119bca6de7c73ada20df2c10c4e050ba},

doi = {10.17705/1jais.00736},

year  = {2022},

date = {2022-01-01},

journal = {Journal of the Association for Information Systems},

volume = {23},

number = {2},

pages = {447-490},

note = {cited By 60},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kostagiolas2021impact,

title = {The impact of health information needs' satisfaction of hypertensive patients on their clinical outcomes},

author = {Petros Kostagiolas and Anastasios Milkas and Panos Kourouthanassis and Kyriakos Dimitriadis and Konstantinos Tsioufis and Dimitrios Tousoulis and Dimitrios Niakas},

year  = {2021},

date = {2021-01-01},

journal = {Aslib Journal of Information Management},

volume = {73},

number = {1},

pages = {43--62},

publisher = {Emerald Publishing Limited},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Symitsi2021605,

title = {The informational value of employee online reviews},

author = {E. Symitsi and P. Stamolampros and G. Daskalakis and N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087207797&doi=10.1016%2fj.ejor.2020.06.001&partnerID=40&md5=337fdaa0e01051c854c7ee8e852ad9a9},

doi = {10.1016/j.ejor.2020.06.001},

year  = {2021},

date = {2021-01-01},

journal = {European Journal of Operational Research},

volume = {288},

number = {2},

pages = {605-619},

note = {cited By 29},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{tsitseklis2020scalable,

title = {Scalable Community Detection for Complex Data Graphs via Hyperbolic Network Embedding and Graph Databases},

author = {Konstantinos Tsitseklis and Maria Krommyda and Vasileios Karyotis and Verena Kantere and Symeon Papavassiliou},

url = {https://doi.org/10.1109/TNSE.2020.3022248},

doi = {10.1109/TNSE.2020.3022248},

year  = {2021},

date = {2021-01-01},

urldate = {2020-01-01},

journal = {IEEE Transactions on Network Science and Engineering},

volume = {8},

number = {2},

pages = {1269--1282},

publisher = {IEEE},

abstract = {Community detection and its variations is one of the typically employed approaches for analyzing graph data originating from various diverse fields. In this paper, we focus on a particular approach for community detection capitalizing on hyperbolic network embedding, which is aimed at analyzing large data graphs. In order to enable its scaling to arbitrary sized data sets and respective data graphs, we extend it by incorporating a graph database approach. This allows for handling a larger number of nodes and edges in the data graph. Also, we turn our focus on the discovery and visualization of communities in Resource Description Framework (RDF) data, namely over linked datasets from diverse areas, explaining how our approach can accommodate relevant analysis. We demonstrate the applicability of the new approach over both real-world and artificially generated datasets showing its feasibility in producing correct results, while being able to scale seamlessly in large datasets. The approach can be used for multi-lateral analysis of feature-rich graph data, originating from diverse sources, enabling the discovery of hidden correlations through the hyperbolic network embedding. © 2013 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{tsitseklis2021socio,

title = {Socio-Aware Recommendations Under Complex User Constraints},

author = {Konstantinos Tsitseklis and Margarita Vitoropoulou and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1109/TCSS.2020.3046686},

doi = {10.1109/TCSS.2020.3046686},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {IEEE Transactions on Computational Social Systems},

volume = {8},

number = {2},

pages = {377--387},

publisher = {IEEE},

abstract = {In this work, we consider the joint behavior of an information diffusion process integrated with a recommender system (RecSys) over an online social network (OSN), where the typical users' resilience to information varies, leading to potential information overloads. We assume that each user has a threshold over the information that she can process in a meaningful way, and exceeding it could lead to user dissatisfaction or the user remaining idle. In order to efficiently tackle this issue, while considering complex user constraints, we consider two types of users' capacity to information, that is, capacity for distinct items and capacity for duplicate items. In this setting, we aim to allocate the items in the OSN in order to maximize users' total relevance to the former while ensuring that no user exceeds any type of capacity. We show that this problem is NP-complete and present various heuristic methods to address it. A novel framework, called socially constrained recommendations (SCoRe), is developed for the final assignment of items to users, consisting of a two-step procedure. We present and evaluate two different approaches for each step and discuss the usability of SCoRe for the efficient diffusion of items in the network while respecting the users' constraints. © 2014 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vitoropoulou2021cover,

title = {CoveR: An Information Diffusion Aware Approach for Efficient Recommendations Under User Coverage Constraints},

author = {Margarita Vitoropoulou and Konstantinos Tsitseklis and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1109/TCSS.2021.3067711},

doi = {10.1109/TCSS.2021.3067711},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {IEEE Transactions on Computational Social Systems},

volume = {8},

number = {4},

pages = {894--905},

publisher = {IEEE},

abstract = {In this article, we consider the problem of recommendations to the users of an online social network (OSN), through an information diffusion aware recommender system (IDARS). We map the assignment of recommendations in influence networks to a problem of selecting an $ell $ -cover of the minimum total cost, which is defined to be a set of assignments such that each user in the OSN is recommended of at least $ell $ different items at the minimum defined cost. This corresponds to a special case of the minimum weighted partition set cover problem, which is a generalization of the minimum weighted set cover problem, both of which are proven to be NP-hard. We formulate a corresponding integer programming problem and we apply a linear programming (LP)-based branch and bound (BnB) methodology for its solution. We also propose a greedy algorithm, denoted as CoveR, which we show to be an $O((Delta /delta )cdot H(Delta))$ -approximation for the $ell $ -coverage problem, where $Delta $ and $delta $ are the maximum and minimum degree of an influence network, respectively, and $H(Delta)$ is the $Delta text th$ harmonic number. We investigate CoveR's performance through extensive simulations on both synthetic and real networks, which indicate that the quality of its solution is comparable to the one obtained by the BnB method, while at the same time outperforms other information diffusion-aware recommendation heuristics. © 2014 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bouali20215g,

title = {5G for Vehicular Use Cases: Analysis of Technical Requirements, Value Propositions and Outlook},

author = {Faouzi Bouali and Jarno Pinola and Vasileios Karyotis and Bastiaan Wissingh and Michalis Mitrou and Prageeth Krishnan and Klaus Moessner},

url = {https://doi.org/10.1109/OJITS.2021.3072220},

doi = {10.1109/OJITS.2021.3072220},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {IEEE Open Journal of Intelligent Transportation Systems},

volume = {2},

pages = {73--96},

publisher = {IEEE},

abstract = {The fifth generation (5G) of wireless networks promises to meet the stringent requirements of vehicular use cases that cannot be supported by previous technologies. However, the stakeholders of the automotive industry (e.g., car manufacturers and road operators) are still skeptical about the capability of the telecom industry to take the lead in a market that has been dominated by dedicated intelligent transport systems (ITS) deployments. In this context, this paper constructs a framework where the potential of 5G to support different vehicular use cases is thoroughly examined under a common format from both the technical and business perspectives. From the technical standpoint, a storyboard description is developed to explain when and how different use case scenarios may come into play (i.e., pre-conditions, service flows and post-conditions). Then, a methodology to trial each scenario is developed including a functional architecture, an analysis of the technical requirements and a set of target test cases. From the business viewpoint, an initial analysis of the qualitative value perspectives is conducted considering the stakeholders, identifying the pain points of the existing solutions, and highlighting the added value of 5G in overcoming them. The future evolution of the considered use cases is finally discussed. © 2020 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kakkavas2021network,

title = {Network tomography for efficient monitoring in SDN-enabled 5G networks and beyond: Challenges and opportunities},

author = {Grigorios Kakkavas and Adamantia Stamou and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1109/MCOM.001.2000458},

doi = {10.1109/MCOM.001.2000458},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {IEEE Communications Magazine},

volume = {59},

number = {3},

pages = {70--76},

publisher = {IEEE},

abstract = {Efficient monitoring plays a vital role in software-defined networking (SDN)-enabled 5G networks, involving the monitoring of performance metrics for both physical and virtual networks and considering the requirements of a variety of traffic types originating from different applications. However, conventional network monitoring tools based on traditional IP-based mechanisms may not be able to keep up with the dynamic nature of 5G networks. Network tomography (NT) is an emerging monitoring approach that estimates network performance based on measurements realized at a limited subset of network elements, presenting benefits over traditional monitoring techniques, but susceptible to identifiability issues. In this article, we demonstrate how NT can respond to current monitoring challenges, complementing and working together with SDN, yielding accurate estimations with low overhead, while exploiting SDN capabilities such as the centralized view of the entire network, direct flow-level measurements, and controllable routing. Furthermore, we present the spectrum of applications of NT-based solutions in 5G networks and beyond, ranging from virtual to vehicular networks. © 1979-2012 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vlachakis2021improving,

title = {Improving the Utility of Polygenic Risk Scores as a Biomarker for Alzheimer’s Disease},

author = {Dimitrios Vlachakis and Eleni Papakonstantinou and Ram Sagar and Flora Bacopoulou and Themis Exarchos and Panos Kourouthanassis and Vasileios Karyotis and Panayiotis Vlamos and Constantine Lyketsos and Dimitrios Avramopoulos and Vasiliki Mahairaki},

url = {https://doi.org/10.3390/cells10071627},

doi = {10.3390/cells10071627},

year  = {2021},

date = {2021-01-01},

urldate = {2021-01-01},

journal = {Cells},

volume = {10},

number = {7},

pages = {1627},

publisher = {MDPI},

abstract = {The treatment of complex and multifactorial diseases constitutes a big challenge in day-to-day clinical practice. As many parameters influence clinical phenotypes, accurate diagnosis and prompt therapeutic management is often difficult. Significant research and investment focuses on state-of-the-art genomic and metagenomic analyses in the burgeoning field of Precision (or Personalized) Medicine with genome-wide-association-studies (GWAS) helping in this direction by linking patient genotypes at specific polymorphic sites (single-nucleotide polymorphisms, SNPs) to the specific phenotype. The generation of polygenic risk scores (PRSs) is a relatively novel statistical method that associates the collective genotypes at many of a person’s SNPs to a trait or disease. As GWAS sample sizes increase, PRSs may become a powerful tool for prevention, early diagnosis and treatment. However, the complexity and multidimensionality of genetic and environmental contributions to phenotypes continue to pose significant challenges for the clinical, broad-scale use of PRSs. To improve the value of PRS measures, we propose a novel pipeline which might better utilize GWAS results and improve the utility of PRS when applied to Alzheimer’s Disease (AD), as a paradigm of multifactorial disease with existing large GWAS datasets that have not yet achieved significant clinical impact. We propose a refined approach for the construction of AD PRS improved by (1), taking into consideration the genetic loci where the SNPs are located, (2) evaluating the post-translational impact of SNPs on coding and non-coding regions by focusing on overlap with open chromatin data and SNPs that are expression quantitative trait loci (QTLs), and (3) scoring and annotating the severity of the associated clinical phenotype into the PRS. Open chromatin and eQTL data need to be carefully selected based on tissue/cell type of origin (e.g., brain, excitatory neurons). Applying such filters to traditional PRS on GWAS studies of complex diseases like AD, can produce a set of SNPs weighted according to our algorithm and a more useful PRS. Our proposed methodology may pave the way for new applications of genomic machine and deep learning pipelines to GWAS datasets in an effort to identify novel clinically useful genetic biomarkers for complex diseases like AD. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mitrou2021ioannis,

title = {Ioannis Tzanettis (Editor),“D6. 1 Preliminary Trials plan,” 5G-HEART Project, Deliverable D6. 1},

author = {Michalis Mitrou and Panagiotis Vlacheas and Vassilis Foteinos and Vassilis Laskaridis and Konstantinos Koutsianopoulos and Mikko Uitto and Jarno Pinola and Haibin Zhang and Bastiaan Wissingh and Donal Morris and others},

year  = {2021},

date = {2021-01-01},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kakkos2021eeg,

title = {EEG Fingerprints of Task-Independent Mental Workload Discrimination},

author = {Ioannis Kakkos and Georgios N. Dimitrakopoulos and Yi Sun and Jingjia Yuan and George K. Matsopoulos and Anastasios Bezerianos and Yu Sun},

url = {https://doi.org/10.1109/jbhi.2021.3085131},

doi = {10.1109/jbhi.2021.3085131},

year  = {2021},

date = {2021-01-01},

journal = {IEEE Journal of Biomedical and Health Informatics},

volume = {25},

number = {10},

pages = {3824–3833},

publisher = {Institute of Electrical and Electronics Engineers},

abstract = {In the nascent field of neuroergonomics, mental workload assessment is one of the most important issues and has an apparent significance in real-world applications. Although prior research has achieved efficient single-task classification, scatted studies on cross-task mental workload assessment usually result in unsatisfactory performance. Here, we introduce a data-driven analysis framework to overcome the challenges regarding task-independent workload assessment using a fusion of EEG spectral characteristics and unveil the common neural mechanisms underlying mental workload. Specifically, multi-frequency power spectrum and functional connectivity (FC) were estimated for two workload levels in two working-memory tasks performed by 40 healthy participants, subsequently being fed into a machine learning approach to obtain the importance of each feature vector and evaluate classification performance in a cross-task fashion. Our framework achieved a classification accuracy of 0.94 for task-independent mental workload discrimination. Further investigation of the designated features in terms of their spectral and localization properties revealed task-independent common patterns in the neural mechanisms governing workload. In particular, increased workload was associated with elevated frontal delta and theta power but reduced parietal alpha power, whereas FC exhibited complex frequency- and region-dependent alterations. By implication, the employment of the EEG feature fusion emphasized their utility in serving as promising indicators for different workload conditions applications.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dimitrakopoulos2021xgrn,

title = {XGRN: Reconstruction of Biological Networks Based on Boosted Trees Regression},

author = {Georgios N. Dimitrakopoulos},

url = {https://doi.org/10.3390/computation9040048},

doi = {10.3390/computation9040048},

year  = {2021},

date = {2021-01-01},

journal = {Computation},

volume = {9},

number = {4},

pages = {48},

publisher = {Multidisciplinary Digital Publishing Institute},

abstract = {In Systems Biology, the complex relationships between different entities in the cells are modeled and analyzed using networks. Towards this aim, a rich variety of gene regulatory network (GRN) inference algorithms has been developed in recent years. However, most algorithms rely solely on gene expression data to reconstruct the network. Due to possible expression profile similarity, predictions can contain connections between biologically unrelated genes. Therefore, previously known biological information should also be considered by computational methods to obtain more consistent results, such as experimentally validated interactions between transcription factors and target genes. In this work, we propose XGBoost for gene regulatory networks (XGRN), a supervised algorithm, which combines gene expression data with previously known interactions for GRN inference. The key idea of our method is to train a regression model for each known interaction of the network and then utilize this model to predict new interactions. The regression is performed by XGBoost, a state-of-the-art algorithm using an ensemble of decision trees. In detail, XGRN learns a regression model based on gene expression of the two interactors and then provides predictions using as input the gene expression of other candidate interactors. Application on benchmark datasets and a real large single-cell RNA-Seq experiment resulted in high performance compared to other unsupervised and supervised methods, demonstrating the ability of XGRN to provide reliable predictions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{varthis2021novel,

title = {A novel framework for delivering static search capabilities to large textual corpora directly on the Web domain: an implementation for Migne’s Patrologia Graeca},

author = {Evagelos Varthis and Marios Poulos and Ilias Giarenis and Sozon Papavlasopoulos},

url = {https://doi.org/10.1108/ijwis-10-2020-0062},

doi = {10.1108/ijwis-10-2020-0062},

year  = {2021},

date = {2021-01-01},

journal = {International Journal of Web Information Systems},

volume = {17},

number = {3},

pages = {153–186},

publisher = {Emerald},

abstract = {Purpose: This study aims to provide a system capable of static searching on a large number of unstructured texts directly on the Web domain while keeping costs to a minimum. The proposed framework is applied to the unstructured texts of Migne’s Patrologia Graeca (PG) collection, setting PG as an implementation example of the method. Design/methodology/approach: The unstructured texts of PG have automatically transformed to a read-only not only Structured Query Language (NoSQL) database with a structure identical to that of a representational state transfer access point interface. The transformation makes it possible to execute queries and retrieve ranked results based on a specialized application of the extended Boolean model. Findings: Using a specifically built Web-browser-based search tool, the user can quickly locate ranked relevant fragments of texts with the ability to navigate back and forth. The user can search using the initial part of words and by ignoring the diacritics of the Greek language. The performance of the search system is comparatively examined when different versions of hypertext transfer protocol (Http) are used for various network latencies and different modes of network connections. Queries using Http-2 have by far the best performance, compared to any of Http-1.1 modes. Originality/value: The system is not limited to the case study of PG and has a generic application in the field of humanities. The expandability of the system in terms of semantic enrichment is feasible by taking into account synonyms and topics if they are available. The system’s main advantage is that it is totally static which implies important features such as simplicity, efficiency, fast response, portability, security and scalability.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mouratidis2021deep,

title = {Deep Learning for Fake News Detection in a Pairwise Textual Input Schema},

author = {Despoina Mouratidis and Maria Nefeli Nikiforos and Katia Lida Kermanidis},

url = {https://doi.org/10.3390/computation9020020},

doi = {10.3390/computation9020020},

year  = {2021},

date = {2021-01-01},

journal = {Computation},

volume = {9},

number = {2},

pages = {20},

publisher = {MDPI AG},

abstract = {In the past decade, the rapid spread of large volumes of online information among an increasing number of social network users is observed. It is a phenomenon that has often been exploited by malicious users and entities, which forge, distribute, and reproduce fake news and propaganda. In this paper, we present a novel approach to the automatic detection of fake news on Twitter that involves (a) pairwise text input, (b) a novel deep neural network learning architecture that allows for flexible input fusion at various network layers, and (c) various input modes, like word embeddings and both linguistic and network account features. Furthermore, tweets are innovatively separated into news headers and news text, and an extensive experimental setup performs classification tests using both. Our main results show high overall accuracy performance in fake news detection. The proposed deep learning architecture outperforms the state-of-the-art classifiers, while using fewer features and embeddings from the tweet text.},

note = {MDPI Computation 2021 Best Paper Award},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{varthis2021semantic,

title = {Semantic enrichment on large scanned collections through their “satellite texts”: the paradigm of Migne’s Patrologia Graeca},

author = {Evagelos Varthis and Spyros Tzanavaris and Ilias Giarenis and Sozon Papavlasopoulos and Manolis Drakakis and Marios Poulos},

url = {https://doi.org/10.1108/idd-03-2021-0021},

doi = {10.1108/idd-03-2021-0021},

year  = {2021},

date = {2021-01-01},

journal = {Information Discovery and Delivery},

volume = {50},

number = {2},

pages = {217–234},

publisher = {Emerald},

abstract = {Purpose: This paper aims to present a methodology for the semantic enrichment on the scanned collection of Migne’s Patrologia Graeca (PG), attempting to easily locate on the Web domain the scanned PG source, when a reference of this source is described and commented on another scanned or textual document, and to semantically enrich PG through related scanned or textual documents named “satellite texts” published by third people. The present enrichment of PG uses as satellite texts the Dorotheos Scholarios's Synoptic Index (DSSI) which act as metadata for PG. Design/methodology/approach: The methodology consists of two parts. The first part addresses the DSSI transcription via a proper web tool. The second part is divided into two subsections: the accomplishment of interlinking the printed column numbers of each scanned PG page with its actual filename, which is the build of a matching function, and the build of a web interface for PG, based on the generated Uniform Resource Identifiers (URIs) of the above first subsection. Findings: The result of the implemented methodology is a Web portal, capable of providing server-less search of topics with direct (single click) navigation to sources. The produced system is static, scalable, easy to be managed and requires minimal cost to be completed and maintained. The produced data sets of transcribed DSSI and the JavaScript Object Notation (JSON) matching functions are available for personal use of students and scholars under Creative Commons license (CC-BY-NC-SA). Social implications: Scholars or anyone interested in a particular subject can easily locate topics in PG and reference them, using URIs that are easy to remember. This fact contributes significantly to the related scientific dialogue. Originality/value: The methodology uses the transcribed satellite texts of DSSI, which act as metadata for PG, to semantically enrich PG collection. Furthermore, the built PG Web interface can be used by other satellite texts as a reference basis to further enrich PG, as it provides a direct identification of sources. The presented methodology is general and can be applied to any scanned collection using its own satellite texts.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{nikiforos2021modern,

title = {The Modern Greek Language on the Social Web: A Survey of Data Sets and Mining Applications},

author = {Maria Nefeli Nikiforos and Yorghos Voutos and Anthi Drougani and Phivos Mylonas and Katia Lida Kermanidis},

url = {https://doi.org/10.3390/data6050052},

doi = {10.3390/data6050052},

year  = {2021},

date = {2021-01-01},

journal = {Data},

volume = {6},

number = {5},

pages = {52},

publisher = {MDPI AG},

abstract = {Mining social web text has been at the heart of the Natural Language Processing and Data Mining research community in the last 15 years. Though most of the reported work is on widely spoken languages, such as English, the significance of approaches that deal with less commonly spoken languages, such as Greek, is evident for reasons of preserving and documenting minority languages, cultural and ethnic diversity, and identifying intercultural similarities and differences. The present work aims at identifying, documenting and comparing social text data sets, as well as mining techniques and applications on social web text that target Modern Greek, focusing on the arising challenges and the potential for future research in the specific less widely spoken language.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mikalef2021512,

title = {IT architecture flexibility and IT governance decentralisation as drivers of IT-enabled dynamic capabilities and competitive performance: The moderating effect of the external environment},

author = {P. Mikalef and A. Pateli and R. Wetering},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089981454&doi=10.1080%2f0960085X.2020.1808541&partnerID=40&md5=fba4a21706294ae2fb192b96b3a992e1},

doi = {10.1080/0960085X.2020.1808541},

year  = {2021},

date = {2021-01-01},

journal = {European Journal of Information Systems},

volume = {30},

number = {5},

pages = {512-540},

note = {cited By 86},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stamolampros2020evaluating,

title = {Evaluating domestic bias on airline passengers’ ratings: The moderating effect of cultural value orientation},

author = {Panagiotis Stamolampros and Dimitrios Dousios and Nikolaos Korfiatis},

url = {https://doi.org/10.1016/j.ijhm.2020.102466},

doi = {10.1016/j.ijhm.2020.102466},

year  = {2020},

date = {2020-01-01},

journal = {International Journal of Hospitality Management},

volume = {87},

pages = {102466},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Poulos2020,

title = {Assessing stationarity in web analytics: A study of bounce rates},

author = {M. Poulos and N. Korfiatis and S. Papavlassopoulos},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077879659&doi=10.1111%2fexsy.12502&partnerID=40&md5=1db347b89928161a721aa98672748c71},

doi = {10.1111/exsy.12502},

year  = {2020},

date = {2020-01-01},

journal = {Expert Systems},

volume = {37},

number = {3},

note = {cited By 9},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Stamolampros2020,

title = {Harnessing the “wisdom of employees” from online reviews},

author = {P. Stamolampros and N. Korfiatis and K. Chalvatzis and D. Buhalis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062302567&doi=10.1016%2fj.annals.2019.02.012&partnerID=40&md5=f56d9e882cf177ceb4d48876ccda6342},

doi = {10.1016/j.annals.2019.02.012},

year  = {2020},

date = {2020-01-01},

journal = {Annals of Tourism Research},

volume = {80},

note = {cited By 23},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kakkavas2020review,

title = {A review of advanced algebraic approaches enabling network tomography for future network infrastructures},

author = {Grigorios Kakkavas and Despoina Gkatzioura and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.3390/fi12020020},

doi = {10.3390/fi12020020},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {Future Internet},

volume = {12},

number = {2},

pages = {20},

publisher = {MDPI},

abstract = {Network tomography has emerged as one of the lean approaches for efficient network monitoring, especially aiming at addressing the ever-increasing requirements for scaling and efficiency in modern network architectures and infrastructures. In this paper, we explore network coding and compressed sensing as enabling technologies in the context of network tomography. Both approaches capitalize on algebraic tools for achieving accuracy while allowing scaling of operation as the size of the monitored network increases. Initially, a brief overview of the tomographic problems and the related classification of methods is provided to better comprehend the problems encountered and solutions provided to date. Subsequently, we present representative approaches that employ either one of the aforementioned technologies and we comparatively describe their fundamental operation. Eventually, we provide a qualitative comparison of features and approaches that can be used for further research and technology development for network monitoring in future Internet infrastructures. © 2020 by the authors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kakkavas2020software,

title = {A software defined radio cross-layer resource allocation approach for cognitive radio networks: From theory to practice},

author = {Grigorios Kakkavas and Konstantinos Tsitseklis and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1109/TCCN.2019.2963869},

doi = {10.1109/TCCN.2019.2963869},

year  = {2020},

date = {2020-01-01},

urldate = {2020-01-01},

journal = {IEEE Transactions on Cognitive Communications and Networking},

volume = {6},

number = {2},

pages = {740--755},

publisher = {IEEE},

abstract = {Software Defined Radio (SDR)-enabled cognitive radio network architectures are expected to play an important role in the future 5G networks. Despite the increased research interest, the current implementations are of small-scale and provide limited functionality. In this paper, we contribute towards the alleviation of the limitations in SDR deployments by developing and evaluating a resource allocation approach for cognitive radios implemented with SDR technology over two testbeds of the ORCA federation. Resource allocation is based on a Markov Random Field (MRF) framework realizing a distributed cross-layer computation for the secondary nodes of the cognitive radio network. The proposed framework implementation consists of self-contained modules developed in GNU Radio realizing cognitive functionalities, such as spectrum sensing, collision detection, etc. We demonstrate the feasibility of the MRF based resource allocation approach and provide extensive results and performance analysis that highlight its key features. The latter provide useful insights about the advantages of our framework, while allowing to pinpoint current technological barriers of broader interest. © 2015 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stai2020optimal,

title = {Optimal resource allocation in multihop wireless networks relying on energy harvesting},

author = {Eleni Stai and Vasileios Karyotis},

year  = {2020},

date = {2020-01-01},

journal = {IEEE Communications Letters},

volume = {25},

number = {1},

pages = {224--228},

publisher = {IEEE},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bouali2020faouzi,

title = {Faouzi Bouali (Editor),“D4. 2 Initial Solution and Verification of Transport Use Case Trials,” 5G-HEART Project, Deliverable D4. 2},

author = {Faouzi Bouali and Hamidreza Bagheri and Daan Ravesteijn and Bastiaan Wissingh and Arturo Guizar and Valérian Mannoni and Sylvie Mayrargue and Olli Apilo and Jarno Pinola and Riikka Ahola and others},

year  = {2020},

date = {2020-01-01},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dimitrakopoulos2020pickle,

title = {PICKLE 3.0: enriching the human meta-database with the mouse protein interactome extended via mouse–human orthology},

author = {Georgios N. Dimitrakopoulos and Maria I. Klapa and Nicholas K Moschonas},

url = {https://doi.org/10.1093/bioinformatics/btaa1070},

doi = {10.1093/bioinformatics/btaa1070},

year  = {2020},

date = {2020-01-01},

journal = {Bioinformatics},

volume = {37},

number = {1},

pages = {145–146},

publisher = {Oxford University Press},

abstract = {SUMMARY: The PICKLE 3.0 upgrade refers to the enrichment of this human protein-protein interaction (PPI) meta-database with the mouse protein interactome. Experimental PPI data between mouse genetic entities are rather limited; however, they are substantially complemented by PPIs between mouse and human genetic entities. The relational scheme of PICKLE 3.0 has been amended to exploit the Mouse Genome Informatics mouse-human ortholog gene pair collection, enabling (i) the extension through orthology of the mouse interactome with potentially valid PPIs between mouse entities based on the experimental PPIs between mouse and human entities and (ii) the comparison between mouse and human PPI networks. Interestingly, 43.5% of the experimental mouse PPIs lacks a corresponding by orthology PPI in human, an inconsistency in need of further investigation. Overall, as primary mouse PPI datasets show a considerably limited overlap, PICKLE 3.0 provides a unique comprehensive representation of the mouse protein interactome. AVAILABILITY AND IMPLEMENTATION: PICKLE can be queried and downloaded at http://www.pickle.gr. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{varthis2020automatic,

title = {Automatic metadata extraction via image processing using Migne's Patrologia Graeca},

author = {Evagelos Varthis and Marios Poulos and Ilias Giarenis and Sozon Papavlasopoulos},

url = {https://doi.org/10.1504/ijmso.2020.115434},

doi = {10.1504/ijmso.2020.115434},

year  = {2020},

date = {2020-01-01},

journal = {International Journal of Metadata, Semantics and Ontologies},

volume = {14},

number = {4},

pages = {265},

publisher = {Inderscience Publishers},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Pateli2020,

title = {Organizational adoption of social media in the hospitality industry: An integrated approach based on DIT and TOE frameworks},

author = {A. Pateli and N. Mylonas and A. Spyrou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090394562&doi=10.3390%2fsu12177132&partnerID=40&md5=bce24e3e556d95f584be1c4a6dfd0bd0},

doi = {10.3390/su12177132},

year  = {2020},

date = {2020-01-01},

journal = {Sustainability (Switzerland)},

volume = {12},

number = {17},

note = {cited By 43},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stamolampros2019flying,

title = {Flying to quality: Cultural influences on online reviews},

author = {Panagiotis Stamolampros and Nikolaos Korfiatis and Panos Kourouthanassis and Efthymia Symitsi},

url = {https://doi.org/10.1177/0047287518764345},

doi = {10.1177/0047287518764345},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Journal of Travel Research},

volume = {58},

number = {3},

pages = {496--511},

publisher = {Sage Publications Sage CA: Los Angeles, CA},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pappas2019explaining,

title = {Explaining user experience in mobile gaming applications: an fsQCA approach},

author = {Ilias O Pappas and Patrick Mikalef and Michail N Giannakos and Panos E Kourouthanassis},

year  = {2019},

date = {2019-01-01},

journal = {Internet Research},

publisher = {Emerald Publishing Limited},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stamolampros2019joint,

title = {The joint effect of consumer and service providers’ culture on online service evaluations: A response surface analysis},

author = {Panagiotis Stamolampros and Dimitrios Dousios and Nikolaos Korfiatis and Efthymia Symitsi},

url = {https://doi.org/10.1016/j.tourman.2019.104057},

doi = {10.1016/j.tourman.2019.104057},

year  = {2019},

date = {2019-01-01},

journal = {Tourism Management},

volume = {78},

pages = {104057},

publisher = {Elsevier BV},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{karyotis2017markov,

title = {A Markov random field framework for modeling malware propagation in complex communications networks},

author = {Vasileios Karyotis},

url = {https://doi.org/10.1109/TDSC.2017.2703622},

doi = {10.1109/TDSC.2017.2703622},

year  = {2019},

date = {2019-01-01},

urldate = {2017-01-01},

journal = {IEEE Transactions on Dependable and Secure Computing},

volume = {16},

number = {4},

pages = {551--564},

publisher = {IEEE},

abstract = {The proliferation of complex communication networks (CCNs) and their importance for maintaining social coherency nowadays have urgently elevated the need for protecting networking infrastructures from malicious software attacks. In this paper, we propose a Markov Random Field (MRF) based spatio-stochastic framework for modeling the macroscopic behavior of a CCN under random attack, where malicious threats propagate through direct interactions and follow the Susceptible-Infected-Susceptible infection paradigm. We exploit the MRF framework for analytically studying the propagation dynamics in various types of CCNs, i.e., lattice, random, scale-free, small-world and multihop graphs, in a holistic manner. By combining Gibbs sampling with simulated annealing, we study the behavior of the above systems for various topological and malware related parameters with respect to the general random attacks considered. We demonstrate the effectiveness of the MRF framework in capturing the evolution of SIS malware propagation and use it to assess the robustness of synthetic and real CCNs with respect to the involved parameters. It is found that random networks are more robust, followed by scale-free, regular and small-world, while multihop emerge as the most vulnerable of all. © 2004-2012 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vitoropoulou2019sensing,

title = {Sensing and monitoring of information diffusion in complex online social networks},

author = {Margarita Vitoropoulou and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1007/s12083-018-0684-7},

doi = {10.1007/s12083-018-0684-7},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Peer-to-Peer Networking and Applications},

volume = {12},

number = {3},

pages = {604--619},

publisher = {Springer US},

abstract = {Sensing and monitoring information diffusion in online social networks is a complex problem of prominent importance, typically requiring significant sensing resources to address it properly. In this paper, we propose an inference approach for an information diffusion process where information is considered to belong to different classes, characterized by different spreading dynamics and possibly different topical content. Our framework utilizes social network analysis metrics in order to reduce the sensing resources that would be required in an otherwise exhaustive approach, while employing statistical learning and probabilistic inference for maintaining the accuracy of information tracking, whenever needed. The proposed framework defines an edge coloring scheme, based on which it is possible to keep track of information diffusion. We assume that the latter spreads according to various biased random walks that represent the dynamics of the considered classes of information. We have employed learning for the inference of those cases where backtracking leads to multiple potential choices for information paths. We demonstrate the operation and efficacy of our approach in characteristic online social networks, such as distributed wireless (spatial) and scale-free (relational) topologies, and draw conclusions on the impact of topology on information spreading. Finally, we discuss the emerging trends applicable for each topology and provide broader guidelines on the suitability of the proposed information diffusion inference scheme for each network. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Stamolampros2019130,

title = {Job satisfaction and employee turnover determinants in high contact services: Insights from Employees'Online reviews},

author = {P. Stamolampros and N. Korfiatis and K. Chalvatzis and D. Buhalis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065643251&doi=10.1016%2fj.tourman.2019.04.030&partnerID=40&md5=5ff150928dccea7400a676ced59858b8},

doi = {10.1016/j.tourman.2019.04.030},

year  = {2019},

date = {2019-01-01},

journal = {Tourism Management},

volume = {75},

pages = {130-147},

note = {cited By 137},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kostagiolas2019,

title = {Learning analytics: Survey data for measuring the impact of study satisfaction on students' academic self-efficacy and performance},

author = {P. Kostagiolas and C. Lavranos and N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85066929736&doi=10.1016%2fj.dib.2019.104051&partnerID=40&md5=815f18b2c3e7229e4e85de4d3c0e1194},

doi = {10.1016/j.dib.2019.104051},

year  = {2019},

date = {2019-01-01},

journal = {Data in Brief},

volume = {25},

note = {cited By 13},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rey2019mathematical,

title = {Mathematical Models for Malware Propagation},

author = {Ángel Mart'in del Rey and Lu-Xing Yang and Vasileios A Karyotis},

url = {https://doi.org/10.1155/2019/6046353},

doi = {10.1155/2019/6046353},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Security and Communication Networks},

volume = {2019},

publisher = {Hindawi},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Stamolampros201924,

title = {Airline service quality and economic factors: An ARDL approach on US airlines},

author = {P. Stamolampros and N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063115197&doi=10.1016%2fj.jairtraman.2019.03.002&partnerID=40&md5=064eced8ecac4a1d18c7320e1b2e2354},

doi = {10.1016/j.jairtraman.2019.03.002},

year  = {2019},

date = {2019-01-01},

journal = {Journal of Air Transport Management},

volume = {77},

pages = {24-31},

note = {cited By 26},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stamou2019autonomic,

title = {Autonomic network management and cross-layer optimization in software defined radio environments},

author = {Adamantia Stamou and Grigorios Kakkavas and Konstantinos Tsitseklis and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.3390/fi11020037},

doi = {10.3390/fi11020037},

year  = {2019},

date = {2019-01-01},

urldate = {2019-01-01},

journal = {Future Internet},

volume = {11},

number = {2},

pages = {37},

publisher = {MDPI},

abstract = {The demand for Autonomic Network Management (ANM) and optimization is as intense as ever, even though significant research has been devoted towards this direction. This paper addresses such need in Software Defined (SDR) based Cognitive Radio Networks (CRNs). We propose a new framework forANMand network reconfiguration combining Software Defined Networks (SDN) with SDR via Network Function Virtualization (NFV) enabled Virtual Utility Functions (VUFs). This is the first approach combining ANM with SDR and SDN via NFV, demonstrating how these state-of-the-art technologies can be effectively combined to achieve reconfiguration flexibility, improved performance and efficient use of available resources. In order to show the feasibility of the proposed framework, we implemented its main functionalities in a cross-layer resource allocation mechanism for CRNs over real SDR testbeds provided by the Orchestration and Reconfiguration Control Architecture (ORCA) EU project. We demonstrate the efficacy of our framework, and based on the obtained results, we identify aspects that can be further investigated for improving the applicability and increasing performance of our broader framework. © 2019 by the authors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Korfiatis2019472,

title = {Measuring service quality from unstructured data: A topic modeling application on airline passengers’ online reviews},

author = {N. Korfiatis and P. Stamolampros and P. Kourouthanassis and V. Sagiadinos},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053803110&doi=10.1016%2fj.eswa.2018.09.037&partnerID=40&md5=fe1061ab433c2e8ac1643a6c13dd89e2},

doi = {10.1016/j.eswa.2018.09.037},

year  = {2019},

date = {2019-01-01},

journal = {Expert Systems with Applications},

volume = {116},

pages = {472-486},

note = {cited By 120},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Leonidou2019731,

title = {A Meta-Analysis of Power in Buyer-Seller Relationships: An Abstract},

author = {L. C. Leonidou and C. S. Katsikeas and B. Aykol and N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125171350&doi=10.1007%2f978-3-030-02568-7_198&partnerID=40&md5=4558a45179c86da67f13bdd5437b2087},

doi = {10.1007/978-3-030-02568-7_198},

year  = {2019},

date = {2019-01-01},

journal = {Developments in Marketing Science: Proceedings of the Academy of Marketing Science},

pages = {731-732},

note = {cited By 0},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kakkos2019mental,

title = {Mental Workload Drives Different Reorganizations of Functional Cortical Connectivity Between 2D and 3D Simulated Flight Experiments},

author = {Ioannis Kakkos and Georgios N. Dimitrakopoulos and Lingyun Gao and Yuan Zhang and Peng Qi and George K. Matsopoulos and Nitish V. Thakor and Anastasios Bezerianos and Yu Sun},

url = {https://doi.org/10.1109/tnsre.2019.2930082},

doi = {10.1109/tnsre.2019.2930082},

year  = {2019},

date = {2019-01-01},

journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},

volume = {27},

number = {9},

pages = {1704–1713},

publisher = {Institute of Electrical and Electronics Engineers},

abstract = {Despite the apparent usefulness of efficient mental workload assessment in various real-world situations, the underlying neural mechanism remains largely unknown, and studies of the mental workload are limited to well-controlled cognitive tasks using a 2D computer screen. In this paper, we investigated functional brain network alterations in a simulated flight experiment with three mental workload levels and compared the reorganization pattern between computer screen (2D) and virtual reality (3D) interfaces. We constructed multiband functional networks in electroencephalogram (EEG) source space, which were further assessed in terms of network efficiency and workload classification performances. We found that increased alpha band efficiencies and beta band local efficiency were associated with elevated mental workload levels, while beta band global efficiency exhibited distinct development trends between 2D and 3D interfaces. Furthermore, using a small subset of connectivity features, we achieved a satisfactory multi-level workload classification accuracy in both interfaces (82% for both 2D and 3D). Further inspection of these discriminative connectivity subsets, we found predominant alpha band connectivity features followed by beta and theta band features with different topological patterns between 2D and 3D interfaces. These findings allow for a more comprehensive interpretation of the neural mechanisms of mental workload in relation to real-world assessment.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{li2019spectral,

title = {What Are Spectral and Spatial Distributions of EEG-EMG Correlations in Overground Walking? An Exploratory Study},

author = {Junhua Li and Georgios N. Dimitrakopoulos and Pavithra Thangavel and Chen Gong and Yu Sun and Zhao Guo and Haoyong Yu and Nitish V. Thakor and Anastasios Bezerianos},

url = {https://doi.org/10.1109/access.2019.2945602},

doi = {10.1109/access.2019.2945602},

year  = {2019},

date = {2019-01-01},

journal = {IEEE Access},

volume = {7},

pages = {143935–143946},

publisher = {Institute of Electrical and Electronics Engineers},

abstract = {You probably believe that a latent relationship between the brain and lower limbs exists and it varies across different walking conditions (e.g., walking with or without an exoskeleton). Have you ever thought what the distributions of measured signals are? To address this question, we simultaneously collected electroencephalogram (EEG) and electromyogram (EMG) signals while healthy participants were conducting four overground walking conditions without any constraints (e.g., specific speed). The EEG results demonstrated that a wide range of frequencies from delta band to gamma band were involved in walking. The EEG power spectral density (PSD) was significantly different in sensorimotor and posterior parietal areas between exoskeleton-assisted walking and non-exoskeleton walking. The EMG PSD difference was predominantly observed in the theta band and the gastrocnemius lateralis muscle. EEG-EMG PSD correlations differed among walking conditions. The alpha and beta bands were primarily involved in consistently increasing EEG-EMG PSD correlations across the walking conditions, while the theta band was primarily involved in consistently decreasing correlations as observed in the EEG involvement. However, there is no dominant frequency band as observed in the EMG involvement. Channels located over the sensorimotor area were primarily involved in consistently decreasing EEG-EMG PSD correlations and the outer-ring channels were involved in the increasing EEG-EMG PSD correlations. Our study revealed the spectral and spatial distributions relevant to overground walking and deepened the understanding of EEG and EMG representations during locomotion, which may inform the development of a more human-compatible exoskeleton and its usage in motor rehabilitation.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Pateli2019224,

title = {How functional involvement affects the transformation of external knowledge into innovation outcomes},

author = {A. Pateli and S. Lioukas},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85026368715&doi=10.1111%2fradm.12280&partnerID=40&md5=c78eaad9385faf3f5b3712e650287abc},

doi = {10.1111/radm.12280},

year  = {2019},

date = {2019-01-01},

journal = {R and D Management},

volume = {49},

number = {2},

pages = {224-238},

note = {cited By 16},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kostagiolas2018information,

title = {Information seeking behavioural paths of physicians for diabetes mellitus care: a qualitative comparative analysis of information needs, sources, and barriers},

author = {Petros A Kostagiolas and Panos E Kourouthanassis and Konstantina Martzoukou and Nikolaos Korfiatis and Dimitrios Niakas},

url = {https://doi.org/10.1080/20476965.2017.1390050},

doi = {10.1080/20476965.2017.1390050},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {Health Systems},

volume = {7},

number = {1},

pages = {13--28},

publisher = {Taylor & Francis},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pappas2018combining,

title = {Combining system success factors with trust to explain e-government adoption using fsQCA},

author = {Ilias Pappas and Panos Kourouthanassis and Patrick Mikalef and Michail Giannakos},

year  = {2018},

date = {2018-01-01},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stai2018temporal,

title = {Temporal dynamics of information diffusion in twitter: Modeling and experimentation},

author = {Eleni Stai and Eirini Milaiou and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1109/TCSS.2017.2784184},

doi = {10.1109/TCSS.2017.2784184},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {IEEE Transactions on Computational Social Systems},

volume = {5},

number = {1},

pages = {256--264},

publisher = {IEEE},

abstract = {Twitter constitutes an accessible platform for studying and experimenting with the dynamics of information dissemination. By exploiting this and using real data, in this paper, we study the temporal dynamics of topic-specific information spread in Twitter, where we assume that each topic corresponds to a hashtag. We develop an epidemic model for information spread in Twitter and we validate it using real data for several hashtags chosen so as to cover a variety of characteristics. Contrary to the existing works in literature, which define the informed Twitter users as those who have produced/reproduced tweets with a specific hashtag, our model considers as informed a superset of Twitter users who have seen/produced/reproduced tweets with a specific hashtag. Thus, it does not underestimate the extent of information propagation in the network. The evaluation results indicate a satisfactory performance of the proposed epidemic model for all hashtag types examined; while more importantly, they allow studying the impact of several factors, such as the need of time-varying infection rates depending on the hashtag type. © 2014 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vandewetering2018strategic,

title = {Strategic Alignment Between IT Flexibility and Dynamic Capabilities: An Empirical Investigation},

author = {Rogier Wetering and Patrick Mikalef and Adamantia G. Pateli},

url = {https://doi.org/10.4018/ijitbag.2018010101},

doi = {10.4018/ijitbag.2018010101},

year  = {2018},

date = {2018-01-01},

journal = {International Journal on IT/Business Alignment and Governance},

volume = {9},

number = {1},

pages = {1–20},

publisher = {IGI Global},

abstract = {Dynamic capabilities theory (DCT) emerged as a leading framework in the process of value creation for firms. Its core notion complements the premise of the resource-based view of the firm and is considered an important theoretical and management framework in modern information systems research. However, despite DCT's significant contributions, its strength and core focus are essentially in its use for historical firm performance explanation. Furthermore, valuable contributions have been made by several researchers to extend the DCT to fit the constantly changing IT environments and other imperative drivers for competitive performance. However, no DCT extension has been developed which allows firms to integrally assess their current state of maturity to derive imperative steps for further performance enhancements. In light of empirical advancement, this article aims to develop a strategic alignment model for IT flexibility and dynamic capabilities and empirically validates proposed hypotheses using correlation and regression analyses on a large data sample of 322 international firms. The authors conjecture that the combined synergetic effect of the underlying dimensions of a firm's IT flexibility architecture and dynamic capabilities enables organizations to cope with changing environmental conditions and drive competitive firm performance. Findings of this study suggest that there is a significant positive relationship between firms' degree of strategic alignment—defined as the degree of balance between all dimensions—and competitive firm performance. Strategic alignment can, therefore, be seen as an important condition that significantly influences a firm's competitive advantage in constantly changing environments. The proposed framework helps firms assess and improve their maturity and alignment of IT flexibility and dynamic capabilities. This article concludes with a discussion, suggestions for future research and managerial implications are also discussed.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{karyotis2018big,

title = {Big data clustering via community detection and hyperbolic network embedding in IoT applications},

author = {Vasileios Karyotis and Konstantinos Tsitseklis and Konstantinos Sotiropoulos and Symeon Papavassiliou},

url = {https://doi.org/10.3390/s18041205},

doi = {10.3390/s18041205},

year  = {2018},

date = {2018-01-01},

urldate = {2018-01-01},

journal = {Sensors},

volume = {18},

number = {4},

pages = {1205},

publisher = {MDPI},

abstract = {In this paper, we present a novel data clustering framework for big sensory data produced by IoT applications. Based on a network representation of the relations among multi-dimensional data, data clustering is mapped to node clustering over the produced data graphs. To address the potential very large scale of such datasets/graphs that test the limits of state-of-the-art approaches, we map the problem of data clustering to a community detection one over the corresponding data graphs. Specifically, we propose a novel computational approach for enhancing the traditional Girvan-Newman (GN) community detection algorithm via hyperbolic network embedding. The data dependency graph is embedded in the hyperbolic space via Rigel embedding, allowing more efficient computation of edge-betweenness centrality needed in the GN algorithm. This allows for more efficient clustering of the nodes of the data graph in terms of modularity, without sacrificing considerable accuracy. In order to study the operation of our approach with respect to enhancing GN community detection, we employ various representative types of artificial complex networks, such as scale-free, small-world and random geometric topologies, and frequently-employed benchmark datasets for demonstrating its efficacy in terms of data clustering via community detection. Furthermore, we provide a proof-of-concept evaluation by applying the proposed framework over multi-dimensional datasets obtained from an operational smart-city/building IoT infrastructure provided by the Federated Interoperable Semantic IoT/cloud Testbeds and Applications (FIESTA-IoT) testbed federation. It is shown that the proposed framework can be indeed used for community detection/data clustering and exploited in various other IoT applications, such as performing more energy-efficient smart-city/building sensing. © 2018 by the authors. Licensee MDPI, Basel, Switzerland.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Stamolampros20183083,

title = {Exploring the behavioral drivers of review valence: The direct and indirect effects of multiple psychological distances},

author = {P. Stamolampros and N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053781813&doi=10.1108%2fIJCHM-04-2017-0239&partnerID=40&md5=3c5477911950017332b4b30d0f5ea67e},

doi = {10.1108/IJCHM-04-2017-0239},

year  = {2018},

date = {2018-01-01},

journal = {International Journal of Contemporary Hospitality Management},

volume = {30},

number = {10},

pages = {3083-3099},

note = {cited By 30},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Chopdar2018109,

title = {Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology},

author = {P. K. Chopdar and N. Korfiatis and V. J. Sivakumar and M. D. Lytras},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85047471379&doi=10.1016%2fj.chb.2018.04.017&partnerID=40&md5=efa14f8ce95ef9855a4132624d441e6a},

doi = {10.1016/j.chb.2018.04.017},

year  = {2018},

date = {2018-01-01},

journal = {Computers in Human Behavior},

volume = {86},

pages = {109-128},

note = {cited By 272},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Huang2018165,

title = {Mobile shopping cart abandonment: The roles of conflicts, ambivalence, and hesitation},

author = {G. -H. Huang and N. Korfiatis and C. -T. Chang},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039166777&doi=10.1016%2fj.jbusres.2017.12.008&partnerID=40&md5=dcfbaa0e2bb3f69d3568db71931a0ae0},

doi = {10.1016/j.jbusres.2017.12.008},

year  = {2018},

date = {2018-01-01},

journal = {Journal of Business Research},

volume = {85},

pages = {165-174},

note = {cited By 89},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dimitrakopoulos2018functional,

title = {Functional Connectivity Analysis of Mental Fatigue Reveals Different Network Topological Alterations Between Driving and Vigilance Tasks},

author = {Georgios N. Dimitrakopoulos and Ioannis Kakkos and Zhongxiang Dai and Hongtao Wang and Kyriakos Sgarbas and Nitish V. Thakor and Anastasios Bezerianos and Yu Sun},

url = {https://doi.org/10.1109/tnsre.2018.2791936},

doi = {10.1109/tnsre.2018.2791936},

year  = {2018},

date = {2018-01-01},

journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},

volume = {26},

number = {4},

pages = {740–749},

publisher = {Institute of Electrical and Electronics Engineers},

abstract = {Despite the apparent importance of mental fatigue detection, a reliable application is hindered due to the incomprehensive understanding of the neural mechanisms of mental fatigue. In this paper, we investigated the topological alterations of functional brain networks in the theta band (4 - 7 Hz) of electroencephalography (EEG) data from 40 male subjects undergoing two distinct fatigue-inducing tasks: a low-intensity one-hour simulated driving and a high-demanding half-hour sustained attention task [psychomotor vigilance task (PVT)]. Behaviorally, subjects demonstrated a robust mental fatigue effect, as reflected by significantly declined performances in cognitive tasks prior and post these two tasks. Furthermore, characteristic path length presented a positive correlation with task duration, which led to a significant increase between the first and the last five minutes of both tasks, indicating a fatigue-related disruption in information processing efficiency. However, significantly increased clustering coefficient was revealed only in the driving task, suggesting distinct network reorganizations between the two fatigue-inducing tasks. Moreover, high accuracy (92% for driving; 97% for PVT) was achieved for fatigue classification with apparently different discriminative functional connectivity features. These findings augment our understanding of the complex nature of fatigue-related neural mechanisms and demonstrate the feasibility of using functional connectivity as neural biomarkers for applicable fatigue monitoring.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pappas2017interplay,

title = {The interplay of online shopping motivations and experiential factors on personalized e-commerce: A complexity theory approach},

author = {Ilias O Pappas and Panos E Kourouthanassis and Michail N Giannakos and George Lekakos},

year  = {2017},

date = {2017-01-01},

journal = {Telematics and Informatics},

volume = {34},

number = {5},

pages = {730--742},

publisher = {Pergamon},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mikalef2017online,

title = {Online information search behaviour of physicians},

author = {Patrick Mikalef and Panos E Kourouthanassis and Adamantia G Pateli},

url = {https://doi.org/10.1111/hir.12170},

doi = {10.1111/hir.12170},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

journal = {Health Information & Libraries Journal},

volume = {34},

number = {1},

pages = {58--73},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kourouthanassis2017explaining,

title = {Explaining travellers online information satisfaction: A complexity theory approach on information needs, barriers, sources and personal characteristics},

author = {Panos E Kourouthanassis and Patrick Mikalef and Ilias O Pappas and Petros Kostagiolas},

year  = {2017},

date = {2017-01-01},

journal = {Information & Management},

volume = {54},

number = {6},

pages = {814--824},

publisher = {North-Holland},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pappas2017sense,

title = {Sense and sensibility in personalized e-commerce: How emotions rebalance the purchase intentions of persuaded customers},

author = {Ilias O Pappas and Panos E Kourouthanassis and Michail N Giannakos and Vassilios Chrissikopoulos},

year  = {2017},

date = {2017-01-01},

journal = {Psychology & Marketing},

volume = {34},

number = {10},

pages = {972--986},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pappas2017emotions,

title = {Emotions in Motion: The Combined Effect of Positive and Negative Emotions on Personalised E-Commerce},

author = {Ilias O Pappas and Panos E Kourouthanassis and Sofia Papavlasopoulou and Vassilios Chrissikopoulos},

year  = {2017},

date = {2017-01-01},

journal = {International Journal of Online Marketing (IJOM)},

volume = {7},

number = {1},

pages = {64--78},

publisher = {IGI Global},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pappas2017fuzzy,

title = {Fuzzy-set analysis to understand user experience in mobile applications},

author = {Ilias O Pappas and Patrick Mikalef and Panos Kourouthanassis and Michail N Giannakos},

year  = {2017},

date = {2017-01-01},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stai2017strategy,

title = {Strategy evolution of information diffusion under time-varying user behavior in generalized networks},

author = {Eleni Stai and Vasileios Karyotis and Antonia-Chrysanthi Bitsaki and Symeon Papavassiliou},

url = {https://doi.org/10.1016/j.comcom.2016.12.013},

doi = {10.1016/j.comcom.2016.12.013},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

journal = {Computer Communications},

volume = {100},

pages = {91--103},

publisher = {Elsevier},

abstract = {Modern generalized networks, where physical devices and social players are combined to support seamless and more flexible services, are strongly driven by user behavior and its evolution. A typical example of behavior-affected processes is the information diffusion by users in generalized networks. In this paper, we focus on user strategy selection with respect to information diffusion in generalized networks, and study its evolutionary dynamics and their benefits, as user behavior/interests change over the course of time. We model information diffusion in generalized networks through graphical evolutionary game theory (graphical EGT) and analyze the evolution of the system and its Evolutionary Stable States (ESS) for time-varying fitness values due to time-varying user interests. We perform extensive evaluations based on numerical and simulation results, and study the impact of several parameters on the derived ESS curves (i.e., ESS points over time). Such parameters involve user interests and their fitness values, and the degree distributions and network type of the layers of the generalized network. We thoroughly evaluate via numerical analysis and appropriate examples the existence of ESS loci for the system dynamics depending on the associated parameters. Also, we discuss the relation between (graphical) EGT-based information diffusion analysis and the epidemics-based information diffusion modeling and analysis that is frequently applied in the literature. Our modeling and evaluations can be used to predict the evolution of the cumulative behavior, allowing for efficient design and control of information campaigns. © 2016},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stai2017hyperbolic,

title = {Hyperbolic embedding for efficient computation of path centralities and adaptive routing in large-scale complex commodity networks},

author = {Eleni Stai and Konstantinos Sotiropoulos and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1109/TNSE.2017.2690258},

doi = {10.1109/TNSE.2017.2690258},

year  = {2017},

date = {2017-01-01},

urldate = {2017-01-01},

journal = {IEEE Transactions on Network Science and Engineering},

volume = {4},

number = {3},

pages = {140--153},

publisher = {IEEE},

abstract = {Computing the most central nodes in large-scale commodity networks is rather important for improving routing and associated applications. In this paper, we introduce a novel framework for the analysis and efficient computation of routing path-based centrality measures, focusing on betweenness and traffic load centrality. The proposed framework enables efficient approximation and in special cases accurate computation of the aforementioned measures in large-scale complex networks, as well as improving/adapting commodity (traffic) routing by identifying and alleviating key congestion points. It capitalizes on network embedding in hyperbolic space and exploits properties of greedy routing over hyperbolic coordinates. We show the computational benefits and approximation precision of our approach by comparing it with state-of-the-art path centrality computation techniques. We demonstrate its applicability on real topologies, characteristic of actual large-scale commodity networks, e.g., data, utility networks. Focusing on two graph embedding types, Rigel and greedy, we compare their impact on the performance of our framework. Then, we exemplify and statistically analyze the dynamic routing adaptation, via the variation of the minimum-depth spanning tree employed for greedy embedding in hyperbolic space. Notably, this allows for efficient routing adaptation according to a simple, distributed computation that can be applied during network operation to alleviate arising bottlenecks. © 2013 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dimitrakopoulos2017task,

title = {Task-Independent Mental Workload Classification Based Upon Common Multiband EEG Cortical Connectivity},

author = {Georgios N. Dimitrakopoulos and Ioannis Kakkos and Zhongxiang Dai and Julian Lim and Joshua Souza and Anastasios Bezerianos and Yu Sun},

url = {https://doi.org/10.1109/tnsre.2017.2701002},

doi = {10.1109/tnsre.2017.2701002},

year  = {2017},

date = {2017-01-01},

journal = {IEEE Transactions on Neural Systems and Rehabilitation Engineering},

volume = {25},

number = {11},

pages = {1940–1949},

publisher = {Institute of Electrical and Electronics Engineers},

abstract = {Efficient classification of mental workload, an important issue in neuroscience, is limited, so far to single task, while cross-task classification remains a challenge. Furthermore, network approaches have emerged as a promising direction for studying the complex organization of the brain, enabling easier interpretation of various mental states. In this paper, using two mental tasks (N-back and mental arithmetic), we present a framework for cross- as well as within-task workload discrimination by utilizing multiband electroencephalography (EEG) cortical brain connectivity. In detail, we constructed functional networks in EEG source space in different frequency bands and considering the individual functional connections as classification features, we identified salient feature subsets based on a sequential feature selection algorithm. These connectivity subsets were able to provide accuracy of 87% for cross-task, 88% for N-back task, and 86% for mental arithmetic task. In conclusion, our method achieved to detect a small number of discriminative interactions among brain areas, leading to high accuracy in both within-task and cross-task classifications. In addition, the identified functional connectivity features, the majority of which were detected in frontal areas in theta and beta frequency bands, helped delineate the shared as well as the distinct neural mechanisms of the two mental tasks.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Moraitou2017255,

title = {Smart Health Caring Home: A Systematic Review of Smart Home Care for Elders and Chronic Disease Patients},

author = {M. Moraitou and A. Pateli and S. Fotiou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032387649&doi=10.1007%2f978-3-319-57348-9_22&partnerID=40&md5=36f2b24f23c5cf87a92d4d7be186766e},

doi = {10.1007/978-3-319-57348-9_22},

year  = {2017},

date = {2017-01-01},

journal = {Advances in Experimental Medicine and Biology},

volume = {989},

pages = {255-264},

note = {cited By 19},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mikalef20171,

title = {Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fsQCA},

author = {P. Mikalef and A. Pateli},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84994666919&doi=10.1016%2fj.jbusres.2016.09.004&partnerID=40&md5=078cabc7276e40ec1f53f3ca00a75356},

doi = {10.1016/j.jbusres.2016.09.004},

year  = {2017},

date = {2017-01-01},

journal = {Journal of Business Research},

volume = {70},

pages = {1-16},

note = {cited By 607},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ringas2016effect,

title = {Effect of Urban Computing on the Public’s Perception of Place, Community, and Infrastructure},

author = {Dimitrios Ringas and Eleni Christopoulou},

year  = {2016},

date = {2016-01-01},

journal = {Enriching Urban Spaces with Ambient Computing, the Internet of Things, and Smart City Design},

pages = {145},

publisher = {IGI Global},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pappas2016explaining,

title = {Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions},

author = {Ilias O Pappas and Panos E Kourouthanassis and Michail N Giannakos and Vassilios Chrissikopoulos},

year  = {2016},

date = {2016-01-01},

journal = {Journal of Business Research},

volume = {69},

number = {2},

pages = {794--803},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kourouthanassis2016matter,

title = {A matter of trust and emotions: A complexity theory approach to explain the adoption of EGOVERNMENT services},

author = {Panos Kourouthanassis and Ilias O Pappas and Cleopatra Bardaki and Michail Giannakos},

year  = {2016},

date = {2016-01-01},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stai2016hyperbolic,

title = {A hyperbolic space analytics framework for big network data and their applications},

author = {Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1109/MNET.2016.7389825},

doi = {10.1109/MNET.2016.7389825},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {IEEE Network},

volume = {30},

number = {1},

pages = {11--17},

publisher = {IEEE},

abstract = {Big data analytics have generated a paradigm shift in modern data analysis and decision making in almost every aspect of human society. Nowadays, massive amounts of generated network and correlated (networked) data pose critical computational and storage challenges, requiring the development of radical techniques to manage, process, and analyze them more efficiently. We propose embedding such data and their correlations in hyperbolic metric spaces as one approach aspiring to radically change current practices. In this article, we explore the potential that such data embedding and the corresponding hyperbolic space based data analytics can offer to networks, their applications, and their services. We demonstrate how this approach may lead to more efficient and scalable problem solving within diverse application domains, such as network design/analysis, network resource allocation optimization, and network economics/marketing, paving the way for more diverse and effective solutions in the future. © 2016 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lavranos20162105,

title = {Information seeking for musical creativity: A systematic literature review},

author = {C. Lavranos and P. Kostagiolas and N. Korfiatis and J. Papadatos},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983262153&doi=10.1002%2fasi.23534&partnerID=40&md5=5508e66ddd3320c87981fbf541f2e72e},

doi = {10.1002/asi.23534},

year  = {2016},

date = {2016-01-01},

journal = {Journal of the Association for Information Science and Technology},

volume = {67},

number = {9},

pages = {2105-2117},

note = {cited By 24},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Zicari201617,

title = {Setting Up a Big Data Project: Challenges, Opportunities, Technologies and Optimization},

author = {R. V. Zicari and M. Rosselli and T. Ivanov and N. Korfiatis and K. Tolle and R. Niemann and C. Reichenbach},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125454798&doi=10.1007%2f978-3-319-30265-2_2&partnerID=40&md5=5819b069329aa9de0b1f8666c9305f5f},

doi = {10.1007/978-3-319-30265-2_2},

year  = {2016},

date = {2016-01-01},

journal = {Studies in Big Data},

volume = {18},

pages = {17-47},

note = {cited By 15},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dimitrakopoulos2016method,

title = {A method for cross-task mental workload classification based on brain connectivity},

author = {Georgios N. Dimitrakopoulos and Yu Sun and Kevin Ardian and Thakor Nitish and Anastasios Bezerianos},

url = {https://doi.org/10.3389/conf.fnhum.2016.220.00002},

doi = {10.3389/conf.fnhum.2016.220.00002},

year  = {2016},

date = {2016-01-01},

journal = {Frontiers in Human Neuroscience},

volume = {10},

publisher = {Frontiers Media},

abstract = {Frontiers Events is a rapidly growing calendar management system dedicated to the scheduling of academic events. This includes announcements and invitations, participant listings and search functionality, abstract handling and publication, related events and post-event exchanges. Whether an organizer or participant, make your event a Frontiers Event!},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ringas2015field,

title = {Field experience and user evaluation from a real-world internet application in an urban-scale environment},

author = {Dimitrios Ringas and Eleni Christopoulou and Michail Stefanidakis},

year  = {2015},

date = {2015-01-01},

journal = {International Journal of Intelligent Engineering Informatics},

volume = {3},

number = {2-3},

pages = {144--165},

publisher = {Inderscience Publishers (IEL)},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kourouthanassis2015demystifying,

title = {Demystifying the design of mobile augmented reality applications},

author = {Panos E Kourouthanassis and Costas Boletsis and George Lekakos},

year  = {2015},

date = {2015-01-01},

journal = {Multimedia Tools and Applications},

volume = {74},

pages = {1045--1066},

publisher = {Springer US},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kourouthanassis2015should,

title = {Should I stay or should I go? The moderating effect of self-image congruity and trust on social networking continued use},

author = {Panos Kourouthanassis and George Lekakos and Vassilis Gerakis},

year  = {2015},

date = {2015-01-01},

journal = {Behaviour & Information Technology},

volume = {34},

number = {2},

pages = {190--203},

publisher = {Taylor & Francis},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kourouthanassis2015tourists,

title = {Tourists responses to mobile augmented reality travel guides: The role of emotions on adoption behavior},

author = {Panos Kourouthanassis and Costas Boletsis and Cleopatra Bardaki and Dimitra Chasanidou},

year  = {2015},

date = {2015-01-01},

journal = {Pervasive and Mobile Computing},

volume = {18},

pages = {71--87},

publisher = {Elsevier},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{karyotis2015macroscopic,

title = {Macroscopic malware propagation dynamics for complex networks with churn},

author = {Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1109/LCOMM.2015.2399925},

doi = {10.1109/LCOMM.2015.2399925},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {IEEE Communications Letters},

volume = {19},

number = {4},

pages = {577--580},

publisher = {IEEE},

abstract = {In this letter, a queueing-based approach for modeling malware propagation in complex networks with churn (dynamic node variation) is introduced. The proposed methodology captures the dynamics of SIS-type malware, especially in time-varying networks, where nodes enter and leave due to their limited energy reserves, or as the outcome of malware attacks. We demonstrate the developed model in various complex networks, showing how it can be exploited for analytically quantifying network reliability and further used for increasing the robustness of the network against generic malware attacks. © 2015 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stai2015analysis,

title = {Analysis and control of information diffusion dictated by user interest in generalized networks},

author = {Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1186/s40649-015-0025-4},

doi = {10.1186/s40649-015-0025-4},

year  = {2015},

date = {2015-01-01},

urldate = {2015-01-01},

journal = {Computational Social Networks},

volume = {2},

number = {1},

pages = {1--31},

publisher = {SpringerOpen},

abstract = {The diffusion of useful information in generalized networks, such as those consisting of wireless physical substrates and social network overlays is very important for theoretical and practical applications. Contrary to previous works, we focus on the impact of user interest and its features (e.g., interest periodicity) on the dynamics and control of diffusion of useful information within such complex wireless-social systems. By considering the impact of temporal and topical variations of users interests, e.g., seasonal periodicity of interest in summer vacation advertisements which spread more effectively during Spring–Summer months, we develop an epidemic-based mathematical framework for modeling and analyzing such information dissemination processes and use three indicative operational scenarios to demonstrate the solutions and results that can be obtained by the corresponding differential equation-based formalism. We then develop an optimal control framework subject to the above information diffusion modeling that allows controlling the trade-off between information propagation efficiency and the associated cost, by considering and leveraging on the impact that user interests have on the diffusion processes. By analysis and extensive simulations, significant outcomes are obtained on the impact of each network layer and the associated interest parameters on the dynamics of useful information diffusion. Furthermore, several behavioral properties of the optimal control of the useful information diffusion with respect to the number of infected/informed nodes and the evolving user interest are shown through analysis and verified via simulations. Specifically, a key finding is that low interest-related diffusion can be aided by utilizing proper optimal controls. Our work in this paper paves the way towards this user-centered information diffusion framework. © 2015, Stai et al.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Huang201577,

title = {Trying before buying: The moderating role of online reviews in trial attitude formation toward mobile applications},

author = {G. -H. Huang and N. Korfiatis},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944320348&doi=10.1080%2f10864415.2015.1029359&partnerID=40&md5=05be036af388bbca85115ed7ee32b97e},

doi = {10.1080/10864415.2015.1029359},

year  = {2015},

date = {2015-01-01},

journal = {International Journal of Electronic Commerce},

volume = {19},

number = {4},

pages = {77-111},

note = {cited By 74},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Korfiatis201544,

title = {Gender effects and cooperation styles in the Facebook community: A quasi-experimental assessment},

author = {N. Korfiatis and R. Zicari and M. D. Lytras},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84922425047&doi=10.1016%2fj.chb.2014.11.065&partnerID=40&md5=52a769f1e8f03932129d5aaf8ca24bba},

doi = {10.1016/j.chb.2014.11.065},

year  = {2015},

date = {2015-01-01},

journal = {Computers in Human Behavior},

volume = {48},

pages = {44-50},

note = {cited By 2},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Kostagiolas20153,

title = {Music, musicians and information seeking behaviour: A case study on a community concert band},

author = {P. A. Kostagiolas and C. Lavranos and N. Korfiatis and J. Papadatos and S. Papavlasopoulos},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84920911175&doi=10.1108%2fJD-07-2013-0083&partnerID=40&md5=238abdaf9f49432da77f8031ee5f2b0b},

doi = {10.1108/JD-07-2013-0083},

year  = {2015},

date = {2015-01-01},

journal = {Journal of Documentation},

volume = {71},

number = {1},

pages = {3-24},

note = {cited By 37},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mikalef2015625,

title = {Purchasing alignment under multiple contingencies: A configuration theory approach},

author = {P. Mikalef and A. Pateli and R. S. Batenburg and R. Van De Wetering},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84929301553&doi=10.1108%2fIMDS-10-2014-0298&partnerID=40&md5=0fba4546958b248b9a503523b09ee0ec},

doi = {10.1108/IMDS-10-2014-0298},

year  = {2015},

date = {2015-01-01},

journal = {Industrial Management and Data Systems},

volume = {115},

number = {4},

pages = {625-645},

note = {cited By 74},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kourouthanassis2014analysing,

title = {Analysing m-commerce research: technology, applications and research themes},

author = {Panos E Kourouthanassis and Christos K Georgiadis},

year  = {2014},

date = {2014-01-01},

journal = {International journal of mobile communications},

volume = {12},

number = {1},

pages = {1--11},

publisher = {Inderscience Publishers Ltd},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pappas2014shiny,

title = {Shiny happy people buying: the role of emotions on personalized e-shopping},

author = {Ilias O Pappas and Panos E Kourouthanassis and Michail N Giannakos and Vassilios Chrissikopoulos},

year  = {2014},

date = {2014-01-01},

journal = {Electronic Markets},

volume = {24},

pages = {193--206},

publisher = {Springer Berlin Heidelberg},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kostagiolas2014work,

title = {Work-related factors influencing doctors search behaviors and trust toward medical information resources},

author = {Petros Kostagiolas and Nikolaos Korfiatis and Panos Kourouthanassis and Georgios Alexias},

url = {https://doi.org/10.1016/j.ijinfomgt.2013.11.009},

doi = {10.1016/j.ijinfomgt.2013.11.009},

year  = {2014},

date = {2014-01-01},

urldate = {2014-01-01},

journal = {International Journal of Information Management},

volume = {34},

number = {2},

pages = {80--88},

publisher = {Pergamon},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kourouthanassis2014adoption,

title = {Adoption behaviour differences for mobile data services: m-internet vs. m-portals},

author = {Panos E Kourouthanassis and George M Giaglis and Dimitrios Karaiskos and Efpraxia Zamani},

year  = {2014},

date = {2014-01-01},

journal = {International Journal of Mobile Communications},

volume = {12},

number = {3},

pages = {207--228},

publisher = {Inderscience Publishers Ltd},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{anifantis2014spatio,

title = {A spatio-stochastic framework for cross-layer design in cognitive radio networks},

author = {Evangelos Anifantis and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1109/TPDS.2013.2297108},

doi = {10.1109/TPDS.2013.2297108},

year  = {2014},

date = {2014-01-01},

urldate = {2014-01-01},

journal = {IEEE Transactions on Parallel and Distributed Systems},

volume = {25},

number = {11},

pages = {2762--2771},

publisher = {IEEE},

abstract = {In this paper, we address the problem of distributed resource management for secondary users in Cognitive Radio Networks (CRNs), through a topology aware and frequency agile cross-layer approach. We exploit the theory of spatial processes and propose a Markov Random Field (MRF) based framework, which enables secondary CRN users to achieve efficient and viable mechanisms in the lower protocol stack layers by exchanging local only information. Specifically, through Gibbs sampling secondary users can optimize in a distributed and parallel manner their channel allocation, medium access and routing without resolving to otherwise computationally demanding optimization approaches. Through analysis and simulation we exhibit the efficacy of the proposed framework and show that a semi-parallel implementation can significantly reduce the required overhead cost compared to the sequential Gibbs sampling approach, while retaining a very close performance to the latter. We also study the emerging trade-offs by demonstrating the performance benefits in terms of channel assignment, medium access and data flow. © 2014 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{pappas2014towards,

title = {Towards Emotional Satisfaction in Social Network Services Use},

author = {Ilias O Pappas and Panos Kourouthanassis and Sofia Papavlasopoulou},

year  = {2014},

date = {2014-01-01},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{stai2014exploiting,

title = {Exploiting socio-physical network interactions via a utility-based framework for resource management in mobile social networks},

author = {Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1109/MWC.2014.6757892},

doi = {10.1109/MWC.2014.6757892},

year  = {2014},

date = {2014-01-01},

urldate = {2014-01-01},

journal = {IEEE Wireless Communications},

volume = {21},

number = {1},

pages = {10--17},

publisher = {IEEE},

abstract = {Mobile social networks have the lion's share in modern mobile telecommunications, and their interaction with the underlying infrastructure networks has attracted significant attention due to its impact on resource management. In this article, we present and demonstrate a framework for addressing such interplay between online social networks and wireless communications by exploiting principles from the theory of utility-based engineering and elements from social network analysis. We aim at a holistic design framework that allows the joint development of improved resource management mechanisms for future mobile wireless infrastructures and their social counterparts. We demonstrate the proposed methodology and reveal the key aspects of designing and exploiting convenient utility functions within the framework of network science in order to better manage the available resources, improve infrastructures, and eventually obtain from them the maximum possible benefit. We establish the above principles and emerging design potentials in future complex networks by presenting two tangible examples where personalized advertising and topology control in MSNs are used to exploit and validate different network and individual socio-utility maximization features, respectively. © 2014 IEEE.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{arkoulis2014discovering,

title = {Discovering and exploiting spectrum power correlations in cognitive radio networks: an experimentally driven approach},

author = {Stamatios Arkoulis and Evangelos Anifantis and Vasileios Karyotis and Symeon Papavassiliou and Nikolaos Mitrou},

url = {https://doi.org/10.1186/1687-1499-2014-17},

doi = {10.1186/1687-1499-2014-17},

year  = {2014},

date = {2014-01-01},

urldate = {2014-01-01},

journal = {EURASIP Journal on Wireless Communications and Networking},

volume = {2014},

number = {1},

pages = {1--14},

publisher = {SpringerOpen},

abstract = {In this paper, we focus on increasing the spectrum awareness of cognitive radio users through statistical processing of spectrum sensing data, obtained via wideband energy-detection-based sensing techniques. Based on observations over real spectrum power measurements, we advocate the existence of correlation properties in the sensed power of measured neighboring channels and propose an inference methodology for exploiting them towards acquiring a more accurate view of the underlying wireless environment. To highlight the benefits of the proposed correlation-based inference methodology on cognitive radio systems, we emphasize on enhancements of white space discovery and channel selection processes, while we thoroughly discuss the impact of our findings on existing relevant approaches. Based on a systematic wireless spectrum survey in the metropolitan area of Athens, Greece, we validate our proposed methodology and assess the achieved performance improvements through the obtained measurement data, confirming its potential value in future cognitive radio networks. © 2014 Arkoulis et al.; licensee Springer.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kourouthanassis2014m,

title = {M-COMMERCE RESEARCH},

author = {Panos E KOUROUTHANASSIS and Christos K GEORGIADIS},

year  = {2014},

date = {2014-01-01},

journal = {International journal of mobile communications (Print)},

volume = {12},

number = {1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{anifantis2014exploiting,

title = {Exploiting social features for improving cognitive radio infrastructures and social services via combined MRF and back pressure cross-layer resource allocation},

author = {Evangelos Anifantis and Eleni Stai and Vasileios Karyotis and Symeon Papavassiliou},

url = {https://doi.org/10.1186/s40649-014-0004-1},

doi = {10.1186/s40649-014-0004-1},

year  = {2014},

date = {2014-01-01},

urldate = {2014-01-01},

journal = {Computational Social Networks},

volume = {1},

number = {1},

pages = {1--27},

publisher = {SpringerOpen},

abstract = {The observed unbalance of spectrum utilization combined with the proliferation of wireless devices and the growth of online social networks call for a joint study of cognitive radios (CRs) and social networking towards improving the operation of both the underlying CR-capable communications infrastructures and of the corresponding dynamic networks. In this work, we address such issue and focus on the twofold direction of resource allocation in CRs and social feature exploitation with the aim of providing a holistic cross-layer optimization framework that jointly considers information from the social layer as well as the traditional network protocol layers. We combine Markov random field (MRF) cross-layer decisions with back pressure (BP) features for the allocation of resources, in order to improve the operation of CRs that act as social network substrate. Espousing the recent advances in the field of dynamic spectrum allocation, the proposed BP-enhanced MRF (BPeMRF) network optimization serves the purpose of improving in a low complexity manner the capacity of agile infrastructures, which are required to adapt fast according to the demands of the volatile CR environment and the overlaying dynamic online social networks. In addition, within the proposed socially enhanced BPeMRF (SeBPeMRF) approach, we leverage emerging social information to further enhance performance. The obtained results exhibit the efficacy of BPeMRF/SeBPeMRF regarding the above objectives and demonstrate significant promise for further improving the corresponding infrastructures and services. © 2014, Anifantis et al.; licensee Springer.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vlamos2014hybrid,

title = {Hybrid Model for Measurement of Building Vulnerability},

author = {Panagiotis Vlamos and Adamantia G. Pateli and Maria Psiha},

url = {https://doi.org/10.4028/www.scientific.net/kem.628.237},

doi = {10.4028/www.scientific.net/kem.628.237},

year  = {2014},

date = {2014-01-01},

journal = {Key engineering materials},

volume = {628},

pages = {237–242},

publisher = {Trans Tech Publications},

abstract = {In this paper a hybrid model for measurement of building vulnerability caused by strong motion arrays is proposed. Our model is based on is a multi-disciplinary method that will predict the behavior of a building structure in reaction to unforeseen stress. In addition, we classify the already proposed vulnerability assessment methods and we describe the criteria for the appropriate selection of building vulnerability assessment method.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mertz2014146,

title = {Using dependency bigrams and discourse connectives for predicting the helpfulness of online reviews},

author = {M. Mertz and N. Korfiatis and R. V. Zicari},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84927759943&doi=10.1007%2f978-3-319-10491-1_15&partnerID=40&md5=331cf82d30606122e619af6f00627b69},

doi = {10.1007/978-3-319-10491-1_15},

year  = {2014},

date = {2014-01-01},

journal = {Lecture Notes in Business Information Processing},

volume = {188},

pages = {146-152},

note = {cited By 4},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dimitrakopoulou2014influenza,

title = {Influenza A Immunomics and Public Health Omics: The Dynamic Pathway Interplay in Host Response to H1N1 Infection},

author = {Konstantina Dimitrakopoulou and Georgios N. Dimitrakopoulos and Esther Wilk and Charalampos Tsimpouris and Kyriakos Sgarbas and Klaus Schughart and Anastasios Bezerianos},

url = {https://doi.org/10.1089/omi.2013.0062},

doi = {10.1089/omi.2013.0062},

year  = {2014},

date = {2014-01-01},

journal = {OMICS A Journal of Integrative Biology},

volume = {18},

number = {3},

pages = {167–183},

publisher = {Mary Ann Liebert, Inc.},

abstract = {Towards unraveling the influenza A (H1N1) immunome, this work aims at constructing the murine host response pathway interactome. To accomplish that, an ensemble of dynamic and time-varying Gene Regulatory Network Inference methodologies was recruited to set a confident interactome based on mouse time series transcriptome data (day 1-day 60). The proposed H1N1 interactome demonstrated significant transformations among activated and suppressed pathways in time. Enhanced interplay was observed at day 1, while the maximal network complexity was reached at day 8 (correlated with viral clearance and iBALT tissue formation) and one interaction was present at day 40. Next, we searched for common interactivity features between the murine-adapted PR8 strain and other influenza A subtypes/strains. For this, two other interactomes, describing the murine host response against H5N1 and H1N1pdm, were constructed, which in turn validated many of the observed interactions (in the period day 1-day 7). The H1N1 interactome revealed the role of cell cycle both in innate and adaptive immunity (day 1-day 14). Also, pathogen sensory pathways (e.g., RIG-I) displayed long-lasting association with cytokine/chemokine signaling (until day 8). Interestingly, the above observations were also supported by the H5N1 and H1N1pdm models. It also elucidated the enhanced coupling of the activated innate pathways with the suppressed PPAR signaling to keep low inflammation until viral clearance (until day 14). Further, it showed that interactions reflecting phagocytosis processes continued long after the viral clearance and the establishment of adaptive immunity (day 8-day 40). Additionally, interactions involving B cell receptor pathway were evident since day 1. These results collectively inform the emerging field of public health omics and future clinical studies aimed at deciphering dynamic host responses to infectious agents.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Pappas2014187,

title = {Moderating effects of online shopping experience on customer satisfaction and repurchase intentions},

author = {I. O. Pappas and A. G. Pateli and M. N. Giannakos and V. Chrissikopoulos},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84918822624&doi=10.1108%2fIJRDM-03-2012-0034&partnerID=40&md5=7d9ac2c7d121c0e2d415d164b88c6936},

doi = {10.1108/IJRDM-03-2012-0034},

year  = {2014},

date = {2014-01-01},

journal = {International Journal of Retail and Distribution Management},

volume = {42},

number = {3},

pages = {187-204},

note = {cited By 190},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Mikalef201443,

title = {Business alignment in the procurement domain: A study of antecedents and determinants of supply chain performance},

author = {P. Mikalef and A. Pateli and R. Batenburg and R. Wetering},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904869219&doi=10.12821%2fijispm020103&partnerID=40&md5=30b232635d5a6969aeea950d922c1eff},

doi = {10.12821/ijispm020103},

year  = {2014},

date = {2014-01-01},

journal = {International Journal of Information Systems and Project Management},

volume = {2},

number = {1},

pages = {43-59},

note = {cited By 21},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{christopoulou2013learning,

title = {Learning Activities in a Sociable Smart City.},

author = {Eleni Christopoulou and Dimitrios Ringas},

year  = {2013},

date = {2013-01-01},

urldate = {2013-01-01},

journal = {IxD&A},

volume = {17},

pages = {29--42},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{arkoulis2013optimal,

title = {On the optimal, fair and channel-aware cognitive radio network reconfiguration},

author = {Stamatios Arkoulis and Evangelos Anifantis and Vasileios Karyotis and Symeon Papavassiliou and Nikolaos Mitrou},

url = {https://doi.org/10.1016/j.comnet.2013.03.004},

doi = {10.1016/j.comnet.2013.03.004},

year  = {2013},

date = {2013-01-01},

urldate = {2013-01-01},

journal = {Computer Networks},

volume = {57},

number = {8},

pages = {1739--1757},

publisher = {Elsevier},

abstract = {In this work, we focus on the Joint Channel Assignment and Routing (JCAR) problem in Cognitive Radio Networks (CRNs) and especially on the optimal reconfiguration of secondary networks under the presence of primary users. Secondary CRN users need to adapt their transmission channels promptly, while effectively limit additional or escalating system modifications triggered by the intertweaved primary user activity. Our approach takes into consideration the underlying spectrum switching dynamics and concurrently aims at a fair resource allocation among the active network flows. We take an optimization perspective and formulate the JCAR and network reconfiguration problems as mixed integer linear programs, addressing fairness concerns as well. We propose a heuristic approach which is based on a sequential reduced search space methodology, in order to obtain efficiently solutions of otherwise tough and demanding reconfiguration problems. The operation, effectiveness and performance of the proposed mechanisms are evaluated through analysis and simulations under various working conditions. The obtained numerical results indicate the benefits of the proposed schemes in terms of overhead performance and their scaling properties with respect to more realistic and thus demanding topologies. © 2013 Elsevier B.V. All rights reserved.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bardaki2013information,

title = {An information quality evaluation framework of object tracking systems},

author = {Cleopatra Bardaki and Panos Kourouthanassis and Katerina Pramatari and Georgios Doukidis},

year  = {2013},

date = {2013-01-01},

keywords = {},

pubstate = {published},

tppubtype = {article}

}