Δημοσιεύσεις Σε Περιοδικά

1. I. Slesinger, E. Yalaz, S. Rizou, M. Gibin, E. Krasanakis, S. Papadopoulos, "Training in Co-Creation as a Methodological Approach to Improve AI Fairness.", Societies, vol. 14, no. 12, MDPI AG, December 03, 2024, doi: 10.3390/soc14120259
2. E. Krasanakis, S. Papadopoulos, I. Kompatsiaris, "Universal Local Attractors on Graphs.", Applied Sciences, vol. 14, no. 11. MDPI AG, May 25, 2024, doi: 10.3390/app14114533
3. S. Fabbrizzi, X. Zhao, E. Krasanakis, S. Papadopoulos, E. Ntoutsi, "Studying bias in visual features through the lens of optimal transport.", Data Mining and Knowledge Discovery, vol. 38, no. 1, Springer Science and Business Media LLC, pp. 281–312, September 02, 2023. https://doi.org/10.1007/s10618-023-00972-2
4. E. Krasanakis, S. Papadopoulos, I. Kompatsiaris, "JGNN: Graph Neural Networks on native Java.", SoftwareX, vol. 23, 2023. https://doi.org/10.1016/j.softx.2023.101459

Δημοσιεύσεις Σε Συνέδρια

1. E. M. Moussa, I. Sarridis, E. Krasanakis, N. Ramoly, S. Papadopoulos, A. M. Awal, L. Younes, "Face-swapping Based Data Augmentation for ID Document and Selfie Face Verification.", in Proceedings of the 2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), Tucson, AZ, USA, February 28, 2025, pp. 1331–1338, doi: 10.1109/WACVW65960.2025.00156
2. E. Krasanakis, S. Papadopoulos, "Towards Standardizing AI Bias Exploration.", in Proceedings of the AIMMES 2024 workshop.