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I. Viktoratos, A. Tsadiras, N. Bassiliades, “Geosocial SPLIS: A Rule-Based Service for context-aware point of interest exploration”, 8th International Rule Challenge at RuleML 2014, co-located with the 21st European Conference on Artificial Intelligence (ECAI 2014), Th. Patkos,A. Wyner, A. Giurca (Ed.),CEUR Workshop Proceedings,Czech Republic, 2014
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I. Viktoratos, A. Tsadiras, N. Bassiliades, “Using Rules to Develop a Personalized and Social Location Information System for the Semantic Web”, Proc. 8th International Web Rule Symposium (RuleML 2014), co-located with the 21st European Conference on Artificial Intelligence (ECAI 2014), A. Bikakis et al. (Ed.), Springer, Prague,Czech Republic, 2014
T. Stavropoulos, E. Rigas, E. Kontopoulos, N. Bassiliades, I. Vlahavas, “A Multi-Agent Coordination Framework for Smart Building Energy Management”, Proc. 3nd International Workshop on Artificial Intelligence Techniques for Power Systems and Energy Markets (IATEM) in conjunction with DEXA 2014, IEEE, ISBN 978-1-4799-5721-7, pp. 126-130,Germany 2014
I. Kavakiotis, A. Triantafyllidis, G. Tsoumakas, I. Vlahavas, “Feature Evaluation Metrics for Population Genomic Data”, Proceedings of 8th Hellenic Conference on Artificial Intelligence (SETN 2014)., A. Likas, K. Blekas and D. Kalles (Eds.), Springer, Artificial intelligence: Methods and Applications, LNCS, 8445, pp. 436-441, Ioannina, Greece, 2014
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A. Fachantidis, I. Partalas, M. Taylor, I. Vlahavas, “An Autonomous Transfer Learning Algorithm for TD-Learners”, Proc. 8th Hellenic Conference on Artificial Intelligence (SETN 2014), (in press), Ioannina, Greece, 2014.
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Y. Zhan, A. Fachantidis, I. Vlahavas, M. Taylor, “Agents Teaching Humans in Reinforcement Learning Tasks”, Adaptive Learning Agents 2014, (in press), Paris, France, 2014.
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P. Bailis, A. Fachantidis, I. Vlahavas, “Learning to play Monopoly: A Reinforcement Learning approach”, AISB 2014: AI & GAMES, (in press), London, U.K., 2014.
A. Fachantidis, I. Partalas, M. Taylor, I. Vlahavas, “Autonomous Selection of Inter-Task Mappings in Transfer Learning”, 2013 AAAI Spring Symposium Series, AAAI, Stanford, U.S.A., 2013.
A. Fachantidis, A. Di Nuovo, A. Cangelosi, I. Vlahavas, “Model-based reinforcement learning for humanoids: A study on forming rewards with the iCub platform”, Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), 2013 IEEE SSCI, IEEE, pp. 87-93, Singapore, 2013.
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
N. Spolaor, G. Tsoumakas, “Evaluating Feature Selection Methods for Multi-Label Text Classification”, BioASQ Workshop, Valencia, Spain, September 27, 2013, 2013.
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