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Anestis Fachantidis
Anestis Fachantidis
Researcher - Co-founder, Medoid AI
Dirección de correo verificada de csd.auth.gr - Página principal
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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
1092014
Learning to teach reinforcement learning agents
A Fachantidis, ME Taylor, I Vlahavas
Machine Learning and Knowledge Extraction 1 (1), 21-42, 2019
782019
Deep reinforcement learning: A state-of-the-art walkthrough
A Lazaridis, A Fachantidis, I Vlahavas
Journal of Artificial Intelligence Research 69, 1421-1471, 2020
632020
Transferring task models in reinforcement learning agents
A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas
Neurocomputing 107, 23-32, 2013
342013
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
252015
Transfer learning with probabilistic mapping selection
A Fachantidis, I Partalas, ME Taylor, I Vlahavas
Adaptive Behavior 23 (1), 3-19, 2015
222015
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
212012
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
142014
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
132014
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
92022
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
92013
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
42019
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
32017
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
32016
Knowledge transfer in reinforcement learning
A Fachantidis
Aristotle University Of Thessaloniki, Greece, 2016
32016
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
22014
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
22011
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
12024
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
12022
Autonomous Selection of Inter-Task Mappings in Transfer Learning
A Fachantidis, I Partalas, ME Taylor, I Vlahavas
2013 AAAI Spring Symposium Series, 2013
12013
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