Darknet Traffic Classification using Machine Learning Techniques. - Lazaros Alexios Iliadis; Theodoros Kaifas (MOCAST, 2021)

Towards 6G: Deep Learning in Cell-Free Massive MIMO. - Lazaros Alexios Iliadis; Zaharias D. Zaharis; Sotirios P. Sotiroudis; Panagiotis G. Sarigiannidis; George K. Karagiannidis; Sotirios K. Goudos (BlackSeaCom, 2022)

Music Deep Learning: A Survey on Deep Learning Methods for Music Processing. - Lazaros Alexios Iliadis; Sotirios P. Sotiroudis; Kostas Kokkinidis; Panagiotis G. Sarigiannidis; Spiridon Nikolaidis 001; Sotirios K. Goudos (MOCAST, 2022)

Patch Antenna Design using Artificial Intelligence Methods for 4G/5G Applications. - Lazaros Alexios Iliadis; Zaharias D. Zaharis; Sotirios P. Sotiroudis; Panagiotis G. Sarigiannidis; Christos G. Christodoulou; Sotirios K. Goudos (WPMC, 2022)

The road to 6G: a comprehensive survey of deep learning applications in cell-free massive MIMO communications systems. - Lazaros Alexios Iliadis; Zaharias D. Zaharis; Sotirios P. Sotiroudis; Panagiotis G. Sarigiannidis; George K. Karagiannidis; Sotirios K. Goudos (EURASIP J. Wirel. Commun. Netw., 2022)

Model-Agnostic Meta-Learning Techniques: A State-of-The-Art Short Review. - Aikaterini I. Griva; Achilles D. Boursianis; Lazaros Alexios Iliadis; Panagiotis G. Sarigiannidis; George K. Karagiannidis; Sotirios K. Goudos (MOCAST, 2023)

The Challenges of Music Deep Learning for Traditional Music. - Lazaros Moysis; Lazaros Alexios Iliadis; Sotirios P. Sotiroudis; Kostas Kokkinidis; Panagiotis G. Sarigiannidis; Spiridon Nikolaidis 001; Christos K. Volos; Achilles D. Boursianis; Dimitrios Babas; Maria S. Papadopoulou; Sotirios K. Goudos (MOCAST, 2023)

Greek Orthodox Church Hymns Recognition Using Deep Learning Techniques. - Nikolaos Tsakatanis; Lazaros Alexios Iliadis; Achilles D. Boursianis; Konstantinos-Iraklis D. Kokkinidis; Georgios Patronas; Pavlos Serafeim; Maria S. Papadopoulou; Sotirios K. Goudos (MOCAST, 2023)

Ensemble Learning Technique for Artificial Intelligence Assisted IVF Applications. - George S. Vergos; Lazaros Alexios Iliadis; Paraskevi Kritopoulou; Achilleas Papatheodorou; Achilles D. Boursianis; Konstantinos-Iraklis D. Kokkinidis; Maria S. Papadopoulou; Sotirios K. Goudos (MOCAST, 2023)

Music Deep Learning: Deep Learning Methods for Music Signal Processing - A Review of the State-of-the-Art. - Lazaros Moysis; Lazaros Alexios Iliadis; Sotirios P. Sotiroudis; Achilles D. Boursianis; Maria S. Papadopoulou; Kostas Kokkinidis; Christos K. Volos; Panagiotis G. Sarigiannidis; Spiridon Nikolaidis 001; Sotirios K. Goudos (IEEE Access, 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)

Human Blastocyst Image Generation Using Generative Adversarial Networks. - Evangelos Tikas; Lazaros Alexios Iliadis; Sotirios P. Sotiroudis; Achilles Boursianis; Konstantinos-Iraklis D. Kokkinidis; Achilleas Papatheodorou; Sotirios K. Goudos (ISBI, 2024)

Fetal Images Trophectoderm Score Prediction Using Deep Learning Methodologies. - Lazaros Alexios Iliadis; Sotirios P. Sotiroudis; George S. Vergos; Paraskevi Kritopoulou; Achilleas Papatheodorou; Achilles D. Boursianis; Konstantinos-Iraklis D. Kokkinidis; Maria S. Papadopoulou; Panagiotis G. Sarigiannidis; Sotirios K. Goudos (MOCAST, 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)