Anestis Fachantidis

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 8

Top Topics

Transfer Learning

Customer Segmentation

Biomedical Literature

Reinforcement Learning

Top Venues

Publications

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) (2024)
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 (2023)
Aristotelis Lazaridis, Anestis Fachantidis, Ioannis P. Vlahavas
Deep Reinforcement Learning: A State-of-the-Art Walkthrough. J. Artif. Intell. Res. 69 (2020)
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) (2019)
Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas
Learning to Teach Reinforcement Learning Agents. Mach. Learn. Knowl. Extr. 1 (1) (2019)
Anestis Fachantidis, Matthew E. Taylor, Ioannis P. Vlahavas
Learning to Teach Reinforcement Learning Agents. CoRR (2017)
Athanasios Lagopoulos, Anestis Fachantidis, Grigorios Tsoumakas
Multi-label Modality Classification for Figures in Biomedical Literature. CBMS (2017)
Anestis Fachantidis, Athanasios Tsiaras, Grigorios Tsoumakas, Ioannis P. Vlahavas
Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting. SETN (2016)
Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas
Transfer learning with probabilistic mapping selection. Adapt. Behav. 23 (1) (2015)
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)
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) (2014)
Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas
An Autonomous Transfer Learning Algorithm for TD-Learners. SETN (2014)
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)
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)
Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
Transferring task models in Reinforcement Learning agents. Neurocomputing 107 (2013)
Anestis Fachantidis, Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. Vlahavas
Transferring Models in Hybrid Reinforcement Learning Agents. EANN/AIAI (1) (2011)
Anestis Fachantidis, Ioannis Partalas, Matthew E. Taylor, Ioannis P. Vlahavas
Transfer Learning via Multiple Inter-task Mappings. EWRL (2011)
Vaggelis Saprikis, Anestis Fachantidis, Maro Vlachopoulou
Online Shopping: Perceptions Of Greek Consumers. MCIS (2009)