| Deepbots: A webots-based deep reinforcement learning framework for robotics M Kirtas, K Tsampazis, N Passalis, A Tefas Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 …, 2020 | 39 | 2020 |
| Deep learning for robotics examples using OpenDR M Kirtas, K Tsampazis, P Tosidis, N Passalis, A Tefas Deep Learning for Robot Perception and Cognition, 579-596, 2022 | 3 | 2022 |
| Efficient realistic data generation framework leveraging deep learning-based human digitization C Symeonidis, P Nousi, P Tosidis, K Tsampazis, N Passalis, A Tefas, ... International Conference on Engineering Applications of Neural Networks, 271-283, 2021 | 3 | 2021 |
| Deep sparse autoencoders for football match and bet prediction K Tsampazis, A Tefas Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 1-8, 2018 | 2 | 2018 |
| Exploring Intelligence K Tsampazis Master Thesis, Aristotle University of Thessaloniki, Thessaloniki, 2020 | 1 | 2020 |
| Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors K Tsampazis, M Kirtas, P Tosidis, N Passalis, A Tefas 2023 IEEE 33rd International Workshop on Machine Learning for Signal …, 2023 | | 2023 |
| Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management P Nousi, L Avramelou, G Rodinos, M Tzelepi, T Manousis, K Tsampazis, ... arXiv preprint arXiv:2309.16679, 2023 | | 2023 |
| Using Part-based Representations for Explainable Deep Reinforcement Learning M Kirtas, K Tsampazis, L Avramelou | | |
Manos KirtasPhD Candidate, Aristotle University of ThessalonikiVerified email at csd.auth.gr
