|
2024-2025 |
Dimitra Manoura |
Deep generation of electronic music |
|
2024-2025 |
Georgios Paschalis |
Application of Graph Machine Learning Techniques for Transaction Fraud Detection |
|
2024-2025 |
Vasileios Stavrianoudakis |
Attribute-conditioned facial image generation through contrastive learning |
|
2024-2025 |
Konstantinos Chaldaiopoulos |
Investigating the generalization abilities of bottom-up visual saliency models in task-specific scenarios using transfer learning |
|
2023-2024 |
Emmanouil Lykos |
Explainable Reinforcement Learning using Interpretable Models |
|
2023-2024 |
Παναγιώτα Βάρσου |
The DeepProbCEP system for Neuro-Symbolic Complex Event Recognition / Το DeepProbCEP σύστημα για Νευροσυμβολική Αναγνώριση Σύνθετων Γεγονότων |
|
2023-2024 |
Iraklis Evangelinos |
Comparison of NeuroSymbolic Programming frameworks in Human Activity Recognition |
|
2023-2024 |
Petros Kafkas |
Incorporation of physical laws into neural networks for solving elasticity problems |
|
2023-2024 |
Orestis Kotrotsios |
Small-Object Detection in Remote Sensing Images and Video |
|
2023-2024 |
Dimitris Simos Konstantakopoulos |
Vulnerabilities and robustness in computer vision |
|
2023-2024 |
Athanasia Lappa |
Solving Long-Horizon Tasks via Imitation and Reinforcement Learning |
|
2023-2024 |
Georgios Batsis |
Machine Learning for Children’s Music Emotion Recognition |
|
2023-2024 |
Tatiana Boura |
Neuro-symbolic Complex Event Recognition in Autonomous Driving |
|
2023-2024 |
Stamatios Orfanos |
Small-object detection in remote sensing images and video |
|
2023-2024 |
Sotirios Panopoulos |
Video binary classification using deep learning techniques |
|
2023-2024 |
Dimitrios Patiniotis Spyropoulos |
Hidden variables’ estimation of trajectories' states using imitation learning |
|
2023-2024 |
Andreas Sideras |
Multimodal Pretraining for Music Audio |
|
2022-2023 |
Spilios Dellis |
Investigation of machine learning-based schemes for the development of coarse-grained force fields for organic molecules |
|
2022-2023 |
Ioannis Ioannidis |
Predicting trajectories’ parameters using graph convolutional neural networks |
|
2022-2023 |
Alexander - Jason Kampanis |
Applications of machine learning techniques on graph data |
