Lazaros Alexios Iliadis

Orcid: 0000-0001-8090-1519

According to our database1, Lazaros Alexios Iliadis authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fetal Images Trophectoderm Score Prediction Using Deep Learning Methodologies.
Proceedings of the 13th International Conference on Modern Circuits and Systems Technologies, 2024

Human Blastocyst Image Generation Using Generative Adversarial Networks.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Artificial Intelligence in Visible Light Positioning for Indoor IoT: A Methodological Review.
IEEE Open J. Commun. Soc., 2023

Music Deep Learning: Deep Learning Methods for Music Signal Processing - A Review of the State-of-the-Art.
IEEE Access, 2023

Ensemble Learning Technique for Artificial Intelligence Assisted IVF Applications.
Proceedings of the 12th International Conference on Modern Circuits and Systems Technologies, 2023

Greek Orthodox Church Hymns Recognition Using Deep Learning Techniques.
Proceedings of the 12th International Conference on Modern Circuits and Systems Technologies, 2023

The Challenges of Music Deep Learning for Traditional Music.
Proceedings of the 12th International Conference on Modern Circuits and Systems Technologies, 2023

Model-Agnostic Meta-Learning Techniques: A State-of-The-Art Short Review.
Proceedings of the 12th International Conference on Modern Circuits and Systems Technologies, 2023

2022
The road to 6G: a comprehensive survey of deep learning applications in cell-free massive MIMO communications systems.
EURASIP J. Wirel. Commun. Netw., 2022

Patch Antenna Design using Artificial Intelligence Methods for 4G/5G Applications.
Proceedings of the 25th International Symposium on Wireless Personal Multimedia Communications, 2022

Music Deep Learning: A Survey on Deep Learning Methods for Music Processing.
Proceedings of the 11th International Conference on Modern Circuits and Systems Technologies, 2022

Towards 6G: Deep Learning in Cell-Free Massive MIMO.
Proceedings of the 10th IEEE International Black Sea Conference on Communications and Networking, 2022

2021
Darknet Traffic Classification using Machine Learning Techniques.
Proceedings of the 10th International Conference on Modern Circuits and Systems Technologies, 2021


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