Unsupervised Machine Learning in 6G Networks -State-of-the-art and Future Trends. - Vasileios P. Rekkas; Sotirios P. Sotiroudis; Panagiotis G. Sarigiannidis; George K. Karagiannidis; Sotirios K. Goudos (MOCAST, 2021)

Visible Light Positioning: A Machine Learning Approach. - Vasileios P. Rekkas; Sotirios P. Sotiroudis; David Plets; Wout Joseph; Sotirios K. Goudos (SEEDA-CECNSM, 2022)

Energy Consumption Assessment in Refrigeration Equipment: The SmartFridge Project. - Aikaterini I. Griva; Vasileios P. Rekkas; Kyriakos Koritsoglou; Sotirios P. Sotiroudis; Achilles D. Boursianis; Maria S. Papadopoulou; Sotirios K. Goudos (MOCAST, 2023)

Artificial Intelligence in Visible Light Positioning for Indoor IoT: A Methodological Review. - Vasileios P. Rekkas; Lazaros Alexios Iliadis; Sotirios P. Sotiroudis; Achilles D. Boursianis; Panagiotis G. Sarigiannidis; David Plets; Wout Joseph; Shaohua Wan 001; Christos G. Christodoulou; George K. Karagiannidis; Sotirios K. Goudos (IEEE Open J. Commun. Soc., 2023)

A Machine Learning Approach For The Identification Of Olive Fruit Fly in Greece. - Vasileios P. Rekkas; Michail Kerasidis; Sotirios P. Sotiroudis; Panagiotis G. Sarigiannidis; Konstantinos E. Psannis; Evdokia Krystallidou; Sotirios K. Goudos (SEEDA-CECNSM, 2024)

Enhancing 3D Indoor Visible Light Positioning With Machine Learning Combined Nyström Kernel Approximation. - Vasileios P. Rekkas; Sotirios P. Sotiroudis; Lazaros Alexios Iliadis; Sander Bastiaens; Wout Joseph; David Plets; Christos G. Christodoulou; George K. Karagiannidis; Sotirios K. Goudos (IEEE Trans. Broadcast., 2024)

ML Methods for SNR Prediction in Vehicular Communications. - Vasileios P. Rekkas; Achilles D. Boursianis; Maria S. Papadopoulou; Thomas Lagkas; Panagiotis G. Sarigiannidis; Sotirios K. Goudos (MOCAST, 2025)