Anestis Fachantidis

According to our database, Anestis Fachantidis authored at least 18 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data.

Eleftherios Kouloumpris, Aristotelis Lazaridis, Anestis Fachantidis, Ioannis P. Vlahavas

Int. J. Artif. Intell. Tools, February, 2024

2023

From Lengthy to Lucid: A Systematic Literature Review on NLP Techniques for Taming Long Sentences.

Tatiana Passali, Efstathios Chatzikyriakidis, Stelios Andreadis, Thanos G. Stavropoulos, Anastasia Matonaki, Anestis Fachantidis, Grigorios Tsoumakas

CoRR, 2023

2020

Deep Reinforcement Learning: A State-of-the-Art Walkthrough.

Aristotelis Lazaridis, Anestis Fachantidis, Ioannis P. Vlahavas

J. Artif. Intell. Res., 2020

2019

Classifying Biomedical Figures by Modality via Multi-Label Learning.

Athanasios Lagopoulos, Nikolaos Kapraras, Vasileios Amanatiadis, Anestis Fachantidis, Grigorios Tsoumakas

IEEE J. Biomed. Health Informatics, 2019

Learning to Teach Reinforcement Learning Agents.

Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas

Mach. Learn. Knowl. Extr., 2019

2017

Multi-label Modality Classification for Figures in Biomedical Literature.

Athanasios Lagopoulos, Anestis Fachantidis, Grigorios Tsoumakas

Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016

Knowledge transfer in reinforcement learning

Anestis Fachantidis

PhD thesis, 2016

Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting.

Anestis Fachantidis, Athanasios Tsiaras, Grigorios Tsoumakas, Ioannis P. Vlahavas

Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

2015

Transfer learning with probabilistic mapping selection.

Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas

Adapt. Behav., 2015

A prediction model of passenger demand using AVL and APC data from a bus fleet.

Patroklos Samaras, Anestis Fachantidis, Grigorios Tsoumakas, Ioannis P. Vlahavas

Proceedings of the 19th Panhellenic Conference on Informatics, 2015

2014

Reinforcement learning agents providing advice in complex video games.

Matthew E. Taylor, Nicholas Carboni, Anestis Fachantidis, Ioannis P. Vlahavas, Lisa Torrey

Connect. Sci., 2014

An Autonomous Transfer Learning Algorithm for TD-Learners.

Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas

Proceedings of the Artificial Intelligence: Methods and Applications, 2014

2013

Transferring task models in Reinforcement Learning agents.

Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas

Neurocomputing, 2013

Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform.

Anestis Fachantidis, Alessandro G. Di Nuovo, Angelo Cangelosi, Ioannis P. Vlahavas

Proceedings of the 2013 IEEE Symposium on Computational Intelligence, 2013

Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract).

Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas

Proceedings of the Lifelong Machine Learning, 2013

2011

Transferring Models in Hybrid Reinforcement Learning Agents.

Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas

Proceedings of the Engineering Applications of Neural Networks, 2011

Transfer Learning via Multiple Inter-task Mappings.

Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas

Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

2009

Online Shopping: Perceptions Of Greek Consumers.

Vaggelis Saprikis, Anestis Fachantidis, Maro Vlachopoulou

Proceedings of the 4th Mediterranean Conference on Information Systems, 2009