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ORCIDSotirios P. Sotiroudis
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- affiliation: Aristotle University of Thessaloniki, Greece
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2020 – today
- 2024
[c11]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- [c10]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
- [j5]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) - [j4]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) - [c9]Aikaterini I. Griva, Vasileios P. Rekkas, Kyriakos Koritsoglou, Sotirios P. Sotiroudis, Achilles D. Boursianis, Maria S. Papadopoulou, Sotirios K. Goudos:
Energy Consumption Assessment in Refrigeration Equipment: The SmartFridge Project. MOCAST 2023: 1-4 - [c8]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 - 2022
- [j3]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) - [c7]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 - [c6]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 - [c5]Vasileios P. Rekkas, Sotirios P. Sotiroudis, David Plets, Wout Joseph, Sotirios K. Goudos:
Visible Light Positioning: A Machine Learning Approach. SEEDA-CECNSM 2022: 1-5 - [c4]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
- [j2]Sotirios P. Sotiroudis, Panayiotis Sarigiannidis, Sotirios K. Goudos, Katherine Siakavara:
Fusing Diverse Input Modalities for Path Loss Prediction: A Deep Learning Approach. IEEE Access 9: 30441-30451 (2021) - [c3]Vasileios P. Rekkas, Sotirios P. Sotiroudis, Panagiotis G. Sarigiannidis, George K. Karagiannidis, Sotirios K. Goudos:
Unsupervised Machine Learning in 6G Networks -State-of-the-art and Future Trends. MOCAST 2021: 1-4 - [c2]George S. Vergos, Sotirios P. Sotiroudis, Georgia E. Athanasiadou, George V. Tsoulos, Sotirios K. Goudos:
Comparing Machine Learning Methods for Air-to-Ground Path Loss Prediction. MOCAST 2021: 1-4 - 2020
- [j1]Sotirios P. Sotiroudis, Sotirios K. Goudos, Katherine Siakavara:
Deep learning for radio propagation: Using image-driven regression to estimate path loss in urban areas. ICT Express 6(3): 160-165 (2020)
2010 – 2019
- 2019
- [c1]Sotirios P. Sotiroudis, Sotirios K. Goudos, Katherine Siakavara:
Neural Networks and Random Forests: A Comparison Regarding Prediction of Propagation Path Loss for NB-IoT Networks. MOCAST 2019: 1-4
Coauthor Index
aka: Panayiotis Sarigiannidis
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