Context-Aware Enhancements for Dimension-Preserving Invertible Neural Models in Traffic Matrix Estimation

Kakkavas, G., Maratos, P., Karyotis, V., Zafeiropoulos, A., & Papavassiliou, S. (2026). Context-Aware Enhancements for Dimension-Preserving Invertible Neural Models in Traffic Matrix Estimation. In 2026 IEEE 50th Annual Computers, Software, and Applications Conference (COMPSAC) (pp. 1031–1039). IEEE. https://doi.org/10.1109/compsac69091.2026.00141

DOI
10.1109/compsac69091.2026.00141
Τύπος
Άρθρο σε Πρακτικά Συνεδρίου
Έτος
2026

Σύνδεσμοι

BibTeX

@inproceedings{kakkavas2026context,
title = {Context-Aware Enhancements for Dimension-Preserving Invertible Neural Models in Traffic Matrix Estimation},
author = {Grigorios Kakkavas and Petros Maratos and Vasileios Karyotis and Anastasios Zafeiropoulos and Symeon Papavassiliou},
url = {https://doi.org/10.1109/compsac69091.2026.00141},
doi = {10.1109/compsac69091.2026.00141},
year  = {2026},
date = {2026-01-01},
booktitle = {2026 IEEE 50th Annual Computers, Software, and Applications Conference (COMPSAC)},
pages = {1031–1039},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

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