Anestis Fachantidis

发表

Classifying Biomedical Figures by Modality via Multi-Label Learning

Athanasios Lagopoulos, Nikolaos Kapraras, Vasileios Amanatiadis, 2019, IEEE Journal of Biomedical and Health Informatics.

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

Ioannis P. Vlahavas, Matthew E. Taylor, Ioannis Partalas, 2013, AAAI Spring Symposium: Lifelong Machine Learning.

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

Ioannis P. Vlahavas, Anestis Fachantidis, Aristotelis Lazaridis, 2020, J. Artif. Intell. Res..

Agents Teaching Humans in Reinforcement Learning Tasks

Ioannis Vlahavas, Yusen Zhan, Matthew E. Taylor, 2014 .

Reinforcement learning agents providing advice in complex video games

Ioannis P. Vlahavas, Matthew E. Taylor, Anestis Fachantidis, 2014, Connect. Sci..

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

Angelo Cangelosi, Ioannis P. Vlahavas, Anestis Fachantidis, 2013, 2013 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB).

Knowledge transfer in reinforcement learning

Anestis Fachantidis, Ανέστης Φαχαντίδης, A. Fachantidis, 2016 .

Transferring task models in Reinforcement Learning agents

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2013, Neurocomputing.

Transfer learning with probabilistic mapping selection

Ioannis P. Vlahavas, Matthew E. Taylor, Ioannis Partalas, 2015, Adapt. Behav..

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

Grigorios Tsoumakas, Ioannis P. Vlahavas, Anestis Fachantidis, 2015, Panhellenic Conference on Informatics.

Learning to Teach Reinforcement Learning Agents pdf

Ioannis P. Vlahavas, Matthew E. Taylor, Anestis Fachantidis, 2017, Mach. Learn. Knowl. Extr..

Transferring Models in Hybrid Reinforcement Learning Agents

Grigorios Tsoumakas, Ioannis P. Vlahavas, Ioannis Partalas, 2011, EANN/AIAI.

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

Grigorios Tsoumakas, Ioannis P. Vlahavas, Anestis Fachantidis, 2016, SETN.

Multi-label Modality Classification for Figures in Biomedical Literature

Grigorios Tsoumakas, Athanasios Lagopoulos, Anestis Fachantidis, 2017, 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS).

Transfer Learning via Multiple Inter-task Mappings

Ioannis P. Vlahavas, Matthew E. Taylor, Ioannis Partalas, 2011, EWRL.

Online Shopping: Perceptions Of Greek Consumers

Anestis Fachantidis, Maro Vlachopoulou, Vaggelis Saprikis, 2009, MCIS.

An Autonomous Transfer Learning Algorithm for TD-Learners

Ioannis P. Vlahavas, Matthew E. Taylor, Ioannis Partalas, 2014, SETN.