Online Shopping: Perceptions Of Greek Consumers. - Vaggelis Saprikis; Anestis Fachantidis; Maro Vlachopoulou (MCIS, 2009)

Transfer Learning via Multiple Inter-task Mappings. - Anestis Fachantidis; Ioannis Partalas; Matthew E. Taylor; Ioannis P. Vlahavas (EWRL, 2011)

Transferring Models in Hybrid Reinforcement Learning Agents. - Anestis Fachantidis; Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (EANN, 2011)

Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract). - Anestis Fachantidis; Ioannis Partalas; Matthew E. Taylor; Ioannis P. Vlahavas (AAAI Spring Symposium: Lifelong Machine Learning, 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 (CCMB, 2013)

Transferring task models in Reinforcement Learning agents. - Anestis Fachantidis; Ioannis Partalas; Grigorios Tsoumakas; Ioannis P. Vlahavas (Neurocomputing, 2013)

An Autonomous Transfer Learning Algorithm for TD-Learners. - Anestis Fachantidis; Ioannis Partalas; Matthew E. Taylor; Ioannis P. Vlahavas (SETN, 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)

A prediction model of passenger demand using AVL and APC data from a bus fleet. - Patroklos Samaras; Anestis Fachantidis; Grigorios Tsoumakas; Ioannis P. Vlahavas (Panhellenic Conference on Informatics, 2015)

Transfer learning with probabilistic mapping selection. - Anestis Fachantidis; Ioannis Partalas; Matthew E. Taylor; Ioannis P. Vlahavas (Adapt. Behav., 2015)

Segmento: An R-based Visualization-rich System for Customer Segmentation and Targeting. - Anestis Fachantidis; Athanasios Tsiaras; Grigorios Tsoumakas; Ioannis P. Vlahavas (SETN, 2016)

Knowledge transfer in reinforcement learning - Anestis Fachantidis (2016)

Multi-label Modality Classification for Figures in Biomedical Literature. - Athanasios Lagopoulos; Anestis Fachantidis; Grigorios Tsoumakas (CBMS, 2017)

Learning to Teach Reinforcement Learning Agents. - Anestis Fachantidis; Matthew E. Taylor; Ioannis P. Vlahavas (Mach. Learn. Knowl. Extr., 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)

Deep Reinforcement Learning: A State-of-the-Art Walkthrough. - Aristotelis Lazaridis; Anestis Fachantidis; Ioannis P. Vlahavas (J. Artif. Intell. Res., 2020)

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)

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, 2024)