(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}
}
