Eftychia Makri

According to our database, Eftychia Makri authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rank Is Not Capacity: Spectral Occupancy for Latent Graph Models.

Nikolaos Nakis, Panagiotis Promponas, Konstantinos Tsirkas, Katerina Mamali, Eftychia Makri, Leandros Tassiulas, Nicholas A. Christakis

CoRR, May, 2026

Benchmark for Assessing Olfactory Perception of Large Language Models.

Eftychia Makri, Nikolaos Nakis, Laura Sisson, Gigi Minsky, Leandros Tassiulas, Vahid Satarifard, Nicholas A. Christakis

CoRR, April, 2026

Fin-RATE: A Real-world Financial Analytics and Tracking Evaluation Benchmark for LLMs on SEC Filings.

Yidong Jiang, Junrong Chen, Eftychia Makri, Jialin Chen, Peiwen Li, Ali Maatouk, Leandros Tassiulas, Eliot Brenner, Bing Xiang, Rex Ying

CoRR, February, 2026

2025

Ethereum Price Prediction Employing Large Language Models for Short-term and Few-shot Forecasting.

Eftychia Makri, Georgios Palaiokrassas, Sarah Bouraga, Antigoni Polychroniadou, Leandros Tassiulas

Proceedings of the 7th Conference on Blockchain Research & Applications for Innovative Networks and Services, 2025

2024

Machine Learning in DeFi: Credit Risk Assessment and Liquidation Prediction.

Georgios Palaiokrassas, Sandro Scherrers, Eftychia Makri, Leandros Tassiulas

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2024

A Protocol Agnostic Polymorphic Network Packet Transformer for 5G Malware Traffic Classification Using Deep Learning Models.

Eftychia Makri, Georgios Agrafiotis, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras

Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2024

2023

Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA.

Georgios Agrafiotis, Eftychia Makri, Ilias Kalamaras, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

A Deep Learning-based Malware Traffic Classifier for 5G Networks Employing Protocol-Agnostic and PCAP-to-Embeddings Techniques.

Georgios Agrafiotis, Eftychia Makri, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras, Nikolaos Tsampieris

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference, 2023

2022

Less is More: Compression of Deep Neural Networks for adaptation in photonic FPGA circuits.

Eftychia Makri, Georgios Agrafiotis, Ilias Kalamaras, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras

Proceedings of the Data Compression Conference, 2022

Image-based Neural Network Models for Malware Traffic Classification using PCAP to Picture Conversion.

Georgios Agrafiotis, Eftychia Makri, Ioannis Flionis, Antonios Lalas, Konstantinos Votis, Dimitrios Tzovaras

Proceedings of the ARES 2022: The 17th International Conference on Availability, Reliability and Security, Vienna,Austria, August 23, 2022

2021

SANCUS: Multi-layers Vulnerability Management Framework for Cloud-native 5G networks.

Charilaos C. Zarakovitis, Dimitrios Klonidis, Zujany Salazar, Anna Prudnikova, Arash Bozorgchenani, Qiang Ni, Charalambos Klitis, George Guirgis, Ana R. Cavalli, Nicholas Sgouros, Eftychia Makri, Antonios Lalas, Konstantinos Votis, George Amponis, Wissam Mallouli

Proceedings of the ARES 2021: The 16th International Conference on Availability, 2021