Conference

1. G. Agrafiotis, E. Makri, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA.", In Proceedings of the Northern Lights Deep Learning Workshop (Vol. 4). (2023, January).. https://septentrio.uit.no/index.php/nldl/article/view/6825
2. G. Agrafiotis, E. Makri, I. Flionis, A. Lalas, K. Votis, D. Tzovaras, "Image-based Neural Network Models for Malware Traffic Classification using PCAP to Picture Conversion.", In Proceedings of the 17th International Conference on Availability, Reliability and Security (pp. 1-7). (2022, August).. https://dl.acm.org/doi/abs/10.1145/3538969.3544473
3. E. Makri, G. Agrafiotis, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Less is More: Compression of Deep Neural Networks for adaptation in photonic FPGA circuits.", In 2022 Data Compression Conference (DCC) (pp. 470-470). IEEE. (2022, March).. https://ieeexplore.ieee.org/abstract/document/9810741
4. E. Makri, G. Agrafiotis, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Adaptation of Neural Network Architectures for Photonic FPGA Circuits", 1st Workshop on Neuromorphic Photonics, Thessaloniki, Greece, December 6-7, 2021.