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ORCIDLazaros Alexios Iliadis
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2020 – today
- 2024
[c10]Evangelos Tikas, Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, Achilles Boursianis, Konstantinos-Iraklis D. Kokkinidis, Achilleas Papatheodorou, Sotirios K. Goudos:
Human Blastocyst Image Generation Using Generative Adversarial Networks. ISBI 2024: 1-4- [c9]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:
Fetal Images Trophectoderm Score Prediction Using Deep Learning Methodologies. MOCAST 2024: 1-4 - 2023
- [j3]Lazaros Moysis, Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, Achilles D. Boursianis, Maria S. Papadopoulou, Kostas Kokkinidis, Christos K. Volos, Panagiotis G. Sarigiannidis, Spiridon Nikolaidis, Sotirios K. Goudos:
Music Deep Learning: Deep Learning Methods for Music Signal Processing - A Review of the State-of-the-Art. IEEE Access 11: 17031-17052 (2023) - [j2]Vasileios P. Rekkas, Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, Achilles D. Boursianis, Panagiotis G. Sarigiannidis, David Plets, Wout Joseph, Shaohua Wan, Christos G. Christodoulou, George K. Karagiannidis, Sotirios K. Goudos:
Artificial Intelligence in Visible Light Positioning for Indoor IoT: A Methodological Review. IEEE Open J. Commun. Soc. 4: 2838-2869 (2023) - [c8]Aikaterini I. Griva, Achilles D. Boursianis, Lazaros Alexios Iliadis, Panagiotis G. Sarigiannidis, George K. Karagiannidis, Sotirios K. Goudos:
Model-Agnostic Meta-Learning Techniques: A State-of-The-Art Short Review. MOCAST 2023: 1-4 - [c7]Lazaros Moysis, Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, Kostas Kokkinidis, Panagiotis G. Sarigiannidis, Spiridon Nikolaidis, Christos K. Volos, Achilles D. Boursianis, Dimitrios Babas, Maria S. Papadopoulou, Sotirios K. Goudos:
The Challenges of Music Deep Learning for Traditional Music. MOCAST 2023: 1-5 - [c6]Nikolaos Tsakatanis, Lazaros Alexios Iliadis, Achilles D. Boursianis, Konstantinos-Iraklis D. Kokkinidis, Georgios Patronas, Pavlos Serafeim, Maria S. Papadopoulou, Sotirios K. Goudos:
Greek Orthodox Church Hymns Recognition Using Deep Learning Techniques. MOCAST 2023: 1-3 - [c5]George S. Vergos, Lazaros Alexios Iliadis, Paraskevi Kritopoulou, Achilleas Papatheodorou, Achilles D. Boursianis, Konstantinos-Iraklis D. Kokkinidis, Maria S. Papadopoulou, Sotirios K. Goudos:
Ensemble Learning Technique for Artificial Intelligence Assisted IVF Applications. MOCAST 2023: 1-4 - 2022
- [j1]Lazaros Alexios Iliadis, Zaharias D. Zaharis, Sotirios P. Sotiroudis, Panagiotis G. Sarigiannidis, George K. Karagiannidis, Sotirios K. Goudos:
The road to 6G: a comprehensive survey of deep learning applications in cell-free massive MIMO communications systems. EURASIP J. Wirel. Commun. Netw. 2022(1): 68 (2022) - [c4]Lazaros Alexios Iliadis, Zaharias D. Zaharis, Sotirios P. Sotiroudis, Panagiotis G. Sarigiannidis, George K. Karagiannidis, Sotirios K. Goudos:
Towards 6G: Deep Learning in Cell-Free Massive MIMO. BlackSeaCom 2022: 269-273 - [c3]Lazaros Alexios Iliadis, Sotirios P. Sotiroudis, Kostas Kokkinidis, Panagiotis G. Sarigiannidis, Spiridon Nikolaidis, Sotirios K. Goudos:
Music Deep Learning: A Survey on Deep Learning Methods for Music Processing. MOCAST 2022: 1-4 - [c2]Lazaros Alexios Iliadis, Zaharias D. Zaharis, Sotirios P. Sotiroudis, Panagiotis G. Sarigiannidis, Christos G. Christodoulou, Sotirios K. Goudos:
Patch Antenna Design using Artificial Intelligence Methods for 4G/5G Applications. WPMC 2022: 497-500 - 2021
- [c1]Lazaros Alexios Iliadis, Theodoros Kaifas:
Darknet Traffic Classification using Machine Learning Techniques. MOCAST 2021: 1-4
Coauthor Index
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