| Reinforcement learning agents providing advice in complex video games ME Taylor, N Carboni, A Fachantidis, I Vlahavas, L Torrey Connection Science 26 (1), 45-63, 2014 | 116 | 2014 |
| Learning to teach reinforcement learning agents A Fachantidis, ME Taylor, I Vlahavas Machine Learning and Knowledge Extraction 1 (1), 21-42, 2019 | 88 | 2019 |
| Deep reinforcement learning: A state-of-the-art walkthrough A Lazaridis, A Fachantidis, I Vlahavas Journal of Artificial Intelligence Research 69, 1421-1471, 2020 | 87 | 2020 |
| Transferring task models in reinforcement learning agents A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas Neurocomputing 107, 23-32, 2013 | 39 | 2013 |
| A prediction model of passenger demand using AVL and APC data from a bus fleet P Samaras, A Fachantidis, G Tsoumakas, I Vlahavas Proceedings of the 19th panhellenic conference on informatics, 129-134, 2015 | 30 | 2015 |
| Transfer learning with probabilistic mapping selection A Fachantidis, I Partalas, ME Taylor, I Vlahavas Adaptive Behavior 23 (1), 3-19, 2015 | 26 | 2015 |
| Transfer learning via multiple inter-task mappings A Fachantidis, I Partalas, ME Taylor, I Vlahavas European Workshop on Reinforcement Learning, 225-236, 2011 | 22 | 2011 |
| Agents teaching humans in reinforcement learning tasks Y Zhan, A Fachantidis, I Vlahavas, ME Taylor Proceedings of the Adaptive and Learning Agents Workshop (AAMAS), 1-8, 2014 | 17 | 2014 |
| Learning to play monopoly: A reinforcement learning approach P Bailis, A Fachantidis, I Vlahavas Proceedings of the 50th Anniversary Convention of The Society for the Study …, 2014 | 13 | 2014 |
| Information system for symptom diagnosis and improvement of attention deficit hyperactivity disorder: protocol for a nonrandomized controlled pilot study N Pandria, V Petronikolou, A Lazaridis, C Karapiperis, E Kouloumpris, ... JMIR Research Protocols 11 (9), e40189, 2022 | 12 | 2022 |
| Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform A Fachantidis, A Di Nuovo, A Cangelosi, I Vlahavas 2013 IEEE symposium on computational intelligence, cognitive algorithms …, 2013 | 8 | 2013 |
| Classifying biomedical figures by modality via multi-label learning A Lagopoulos, N Kapraras, V Amanatiadis, A Fachantidis, G Tsoumakas IEEE journal of biomedical and health informatics 23 (6), 2230-2237, 2019 | 5 | 2019 |
| Segmento: An r-based visualization-rich system for customer segmentation and targeting A Fachantidis, A Tsiaras, G Tsoumakas, I Vlahavas Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 1-4, 2016 | 4 | 2016 |
| Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data E Kouloumpris, A Lazaridis, A Fachantidis, I Vlahavas International Journal on Artificial Intelligence Tools 33 (01), 2350059, 2024 | 3 | 2024 |
| Multi-label modality classification for figures in biomedical literature A Lagopoulos, A Fachantidis, G Tsoumakas 2017 IEEE 30th International Symposium on Computer-Based Medical Systems …, 2017 | 3 | 2017 |
| Knowledge transfer in reinforcement learning A Fachantidis Aristotle University Of Thessaloniki, Greece, 2016 | 3 | 2016 |
| Transferring models in hybrid reinforcement learning agents A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas International Conference on Engineering Applications of Neural Networks, 162-171, 2011 | 3 | 2011 |
| From lengthy to lucid: a systematic literature review on NLP techniques for taming long sentences T Passali, E Chatzikyriakidis, S Andreadis, TG Stavropoulos, A Matonaki, ... arXiv preprint arXiv:2312.05172, 2023 | 2 | 2023 |
| An Autonomous Transfer Learning Algorithm for TD-Learners A Fachantidis, I Partalas, ME Taylor, I Vlahavas Hellenic Conference on Artificial Intelligence, 57-70, 2014 | 2 | 2014 |
| An information system for symptom diagnosis and improvement of attention deficit hyperactivity disorder: the ADHD360 Project N Pandria, V Petronikolou, A Lazaridis, C Karapiperis, E Kouloumpris, ... JMIR Res Protocols, 2022 | 1 | 2022 |