Neural Networks and Random Forests: A Comparison Regarding Prediction of Propagation Path Loss for NB-IoT Networks. - Sotirios P. Sotiroudis; Sotirios K. Goudos; Katherine Siakavara (MOCAST, 2019)

Deep learning for radio propagation: Using image-driven regression to estimate path loss in urban areas. - Sotirios P. Sotiroudis; Sotirios K. Goudos; Katherine Siakavara (ICT Express, 2020)

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)

Comparing Machine Learning Methods for Air-to-Ground Path Loss Prediction. - George S. Vergos; Sotirios P. Sotiroudis; Georgia E. Athanasiadou; George V. Tsoulos; Sotirios K. Goudos (MOCAST, 2021)

Fusing Diverse Input Modalities for Path Loss Prediction: A Deep Learning Approach. - Sotirios P. Sotiroudis; Panayiotis Sarigiannidis; Sotirios K. Goudos; Katherine Siakavara (IEEE Access, 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)

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

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)

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)

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)

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)

Traffic Sign Recognition for Level-3 Autonomy: Efficient Deep Learning for Class-Imbalanced Datasets. - Myrsini E. Mita; Lazaros A. Iliadis; Sotirios P. Sotiroudis; Achilles D. Boursianis; Maria S. Papadopoulou; Sotirios K. Goudos (MOCAST, 2025)

Identification of Greek Orthodox Church Chants Using Fuzzy Entropy. - Lazaros Moysis; Konstantinos Karasavvidis; Dimitris Kampelopoulos; Achilles D. Boursianis; Sotirios P. Sotiroudis; Spiridon Nikolaidis 001; Christos K. Volos; Panagiotis G. Sarigiannidis; Mohammad Abdul Matin 001; Sotirios K. Goudos (Comput., 2025)

A Novel Hybrid Grey Wolf Differential Evolution Algorithm. - Ioannis D. Bougas; Pavlos Doanis; Maria S. Papadopoulou; Achilles D. Boursianis; Sotirios P. Sotiroudis; Zaharias D. Zaharis; George K. Karagiannidis; Panagiotis G. Sarigiannidis; Mohammad Abdul Matin 001; Sotirios K. Goudos (CoRR, 2025)