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ORCIDAnestis Fachantidis
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2020 – today
- 2024
[j7]Eleftherios Kouloumpris
, Aristotelis Lazaridis, Anestis Fachantidis, Ioannis P. Vlahavas:
Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data. Int. J. Artif. Intell. Tools 33(1): 2350059:1-2350059:23 (2024)- 2023
- [i2]Tatiana Passali, Efstathios Chatzikyriakidis, Stelios Andreadis, Thanos G. Stavropoulos, Anastasia Matonaki, Anestis Fachantidis, Grigorios Tsoumakas:
From Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences. CoRR abs/2312.05172 (2023) - 2020
- [j6]Aristotelis Lazaridis, Anestis Fachantidis, Ioannis P. Vlahavas:
Deep Reinforcement Learning: A State-of-the-Art Walkthrough. J. Artif. Intell. Res. 69: 1421-1471 (2020)
2010 – 2019
- 2019
- [j5]Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas:
Learning to Teach Reinforcement Learning Agents. Mach. Learn. Knowl. Extr. 1(1): 21-42 (2019) - [j4]Athanasios Lagopoulos, Nikolaos Kapraras, Vasileios Amanatiadis, Anestis Fachantidis, Grigorios Tsoumakas:
Classifying Biomedical Figures by Modality via Multi-Label Learning. IEEE J. Biomed. Health Informatics 23(6): 2230-2237 (2019) - 2017
- [c9]Athanasios Lagopoulos, Anestis Fachantidis, Grigorios Tsoumakas:
Multi-label Modality Classification for Figures in Biomedical Literature. CBMS 2017: 79-84 - [i1]Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas:
Learning to Teach Reinforcement Learning Agents. CoRR abs/1707.09079 (2017) - 2016
- [b1]Anestis Fachantidis:
Knowledge transfer in reinforcement learning. Aristotle University Of Thessaloniki, Greece, 2016 - [c8]Anestis Fachantidis, Athanasios Tsiaras, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting. SETN 2016: 23:1-23:4 - 2015
- [j3]Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
Transfer learning with probabilistic mapping selection. Adapt. Behav. 23(1): 3-19 (2015) - [c7]Patroklos Samaras, Anestis Fachantidis, Grigorios Tsoumakas, Ioannis P. Vlahavas:
A prediction model of passenger demand using AVL and APC data from a bus fleet. Panhellenic Conference on Informatics 2015: 129-134 - 2014
- [j2]Matthew E. Taylor, Nicholas Carboni, Anestis Fachantidis, Ioannis P. Vlahavas, Lisa Torrey:
Reinforcement learning agents providing advice in complex video games. Connect. Sci. 26(1): 45-63 (2014) - [c6]Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
An Autonomous Transfer Learning Algorithm for TD-Learners. SETN 2014: 57-70 - 2013
- [j1]Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Transferring task models in Reinforcement Learning agents. Neurocomputing 107: 23-32 (2013) - [c5]Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract). AAAI Spring Symposium: Lifelong Machine Learning 2013 - [c4]Anestis Fachantidis, Alessandro G. Di Nuovo, Angelo Cangelosi, Ioannis P. Vlahavas:
Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform. CCMB 2013: 87-93 - 2011
- [c3]Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas:
Transfer Learning via Multiple Inter-task Mappings. EWRL 2011: 225-236 - [c2]Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas:
Transferring Models in Hybrid Reinforcement Learning Agents. EANN/AIAI (1) 2011: 162-171
2000 – 2009
- 2009
- [c1]Vaggelis Saprikis, Anestis Fachantidis, Maro Vlachopoulou:
Online Shopping: Perceptions Of Greek Consumers. MCIS 2009: 132
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