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)

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)

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)

AI-Driven Risk Management: Exploring Machine Learning Techniques and Privacy Challenges in Smart Cities. - Konstantinos-Iraklis D. Kokkinidis; Aristeidis Chatzipoulidis (MOCAST, 2024)