| 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 | 66 | 2014 |
| Learning to teach reinforcement learning agents A Fachantidis, ME Taylor, I Vlahavas Machine Learning and Knowledge Extraction 1 (1), 21-42, 2019 | 31 | 2019 |
| Transferring task models in reinforcement learning agents A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas Neurocomputing 107, 23-32, 2013 | 25 | 2013 |
| Transfer learning via multiple inter-task mappings A Fachantidis, I Partalas, ME Taylor, I Vlahavas European Workshop on Reinforcement Learning, 225-236, 2011 | 16 | 2011 |
| Transfer learning with probabilistic mapping selection A Fachantidis, I Partalas, ME Taylor, I Vlahavas Adaptive Behavior 23 (1), 3-19, 2015 | 13 | 2015 |
| 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 | 8 | 2015 |
| Agents teaching humans in reinforcement learning tasks Y Zhan, A Fachantidis, I Vlahavas, ME Taylor Proceedings of the Adaptive and Learning Agents Workshop (AAMAS), 2014 | 7 | 2014 |
| 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 | 7 | 2013 |
| 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 | 4 | 2014 |
| 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 | 2 | 2019 |
| 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 |
| Transferring models in hybrid reinforcement learning agents A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas Engineering Applications of Neural Networks, 162-171, 2011 | 2 | 2011 |
| 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 | 1 | 2017 |
| Autonomous Selection of Inter-Task Mappings in Transfer Learning A Fachantidis, I Partalas, ME Taylor, IP Vlahavas AAAI Spring Symposium: Lifelong Machine Learning, 2013 | 1 | 2013 |
| Deep Reinforcement Learning: A State-of-the-Art Walkthrough A Lazaridis, A Fachantidis, I Vlahavas Journal of Artificial Intelligence Research 69, 1421-1471, 2020 | | 2020 |
| 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 | | 2016 |
| Segmento A Fachantidis, I Vlachavas, G Tsoumakas, A Tsiaras SETN'16 Proceedings of the 9th Hellenic Conference on Artificial …, 2016 | | 2016 |
| Knowledge Transfer in Reinforcement Learning A Fachantidis Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Σχολή Θετικών Επιστημών. Τμήμα …, 2016 | | 2016 |
| Online Shopping: Perceptions Of Greek Consumers. V Saprikis, A Fachantidis, M Vlachopoulou MCIS, 132, 2009 | | 2009 |
Ioannis VlahavasProfessor of Computer Science, Aristotle University of Thessaloniki, GreeceVerified email at csd.auth.gr
