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 | 109 | 2014 |
Learning to teach reinforcement learning agents A Fachantidis, ME Taylor, I Vlahavas Machine Learning and Knowledge Extraction 1 (1), 21-42, 2019 | 80 | 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 | 64 | 2020 |
Transferring task models in reinforcement learning agents A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas Neurocomputing 107, 23-32, 2013 | 34 | 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 | 25 | 2015 |
Transfer learning with probabilistic mapping selection A Fachantidis, I Partalas, ME Taylor, I Vlahavas Adaptive Behavior 23 (1), 3-19, 2015 | 22 | 2015 |
Transfer learning via multiple inter-task mappings A Fachantidis, I Partalas, ME Taylor, I Vlahavas Recent Advances in Reinforcement Learning: 9th European Workshop, EWRL 2011 …, 2012 | 21 | 2012 |
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 | 14 | 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 | 9 | 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 | 9 | 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 | 4 | 2019 |
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 |
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 | 3 | 2016 |
Knowledge transfer in reinforcement learning A Fachantidis Aristotle University Of Thessaloniki, Greece, 2016 | 3 | 2016 |
An Autonomous Transfer Learning Algorithm for TD-Learners A Fachantidis, I Partalas, ME Taylor, I Vlahavas Artificial Intelligence: Methods and Applications: 8th Hellenic Conference …, 2014 | 2 | 2014 |
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 | 2 | 2011 |
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 | 1 | 2024 |
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 | 1 | 2023 |
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 |