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G. Liapis, K. Zacharia, K. Rrasa, A. Liapi, I. Vlahavas, “Modelling Core Personality Traits Behaviours in a Gamified Escape Room Environment”, 16th European Conference on Games Based Learning, September 2022
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G. Liapis, Lazaridis A., Vlahavas I., “Escape Room Experience for Team Building Through Gamification Using Deep Reinforcement Learning”, 15th European Conference on Game Based Learning (ECGBL), September 2021
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D. Zaikis, C. Karalka, I. Vlahavas, "A Message Passing Approach to Biomedical Relation Classification for Drug–Drug Interactions", Applied Sciences, Volume 12(21), Article 10987, 2022, DOI: https://doi.org/10.3390/app122110987
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Niki Pandria, Vasileia Petronikolou, Aristotelis Lazaridis, Christos Karapiperis, Eleftherios Kouloumpris, Dimitrios Spachos, Anestis Fachantidis, Dimitrios Vasileiou, Ioannis Vlahavas and Panagiotis Bamidis. “Information System for Symptom Diagnosis and Improvement of Attention Deficit Hyperactivity Disorder: Protocol for a Nonrandomized Controlled Pilot Study”. JMIR Research Protocols, JMIR Publications, 2022, https://doi.org/10.2196/40189.
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I. Pierros, I. Vlahavas. “Architecture-Agnostic Time-Step Boosting: A Case Study in Short-Term Load Forecasting”, in Proceedings of the Artificial Neural Networks and Machine Learning (ICANN 2022), Bristol, UK, 6-9 Sept 2022. LNCS, vol. 13531, pp. 556–568, Springer, 2022, https://doi.org/10.1007/978-3-031-15934-3_46/
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D. Zaikis, S. Kokkas, I. Vlahavas, "Transforming Drug-Drug Interaction Extraction from Biomedical Literature", In Proceedings of the 12th Hellenic Conference on Artificial Intelligence (SETN '22), Corfu, Greece, 7-9 Sep 2022, Article 12, pp. 1–8, Association for Computing Machinery, 2022
Aristotelis Lazaridis, Christos Perchanidis, Doxakis Chovardas and Ioannis Vlahavas. “AlphaBluff: An AI-Powered Heads-Up No-Limit Texas Hold’em Poker Video Game”. 16th International Conference on Innovations in Intelligent Systems and Applications (INISTA), Biarritz, France, 8-10 August, 2022.
Kochliaridis, V., Kouloumpris, E., Vlahavas, I. (2022). TraderNet-CR: Cryptocurrency Trading with Deep Reinforcement Learning. In: Maglogiannis, I., Iliadis, L., Macintyre, J., Cortez, P. (eds) Artificial Intelligence Applications and Innovations. AIAI 2022 https://doi.org/10.1007/978-3-031-08333-4_25
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Aristotelis Lazaridis, and Ioannis Vlahavas. “REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents”. Neurocomputing, vol. 497, Elsevier, 2022, https://doi.org/10.1016/j.neucom.2022.05.004.
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Georgios Liapis, Aristotelis Lazaridis and Ioannis Vlahavas. “Gamified Escape Room Experience for Simulating Team Building using Deep Reinforcement Learning”. 15th European Conference on Game-Based Learning (ECGBL 2021), Brighton, UK, 23-24 September, 2021.
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