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Dimitrios Zaikis, Nikolaos Stylianou, and Ioannis Vlahavas. “PIMA: Parameter-Shared Intelligent Media Analytics Framework for Low Resource Languages.” In: Applied Sciences 13.5 (Mar. 2023). IF: 2.7, p. 3265. issn: 2076-3417. doi: 10.3390/app13053265. url: https://www.mdpi.com/2076-3417/13/5/3265.
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G. Liapis,K. Zacharia, K. Rrasa, I. Vlahavas, “Serious Escape Room Game for Personality Assessment”, Accepted in 12th Games and Learning Alliance Conference, November 2023
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D. Vrakas, A. Molohidis, I. Lefkos, A. Taramopoulos, E. Kontopoulos, E. Hatzikraniotis, I. Vlahavas, D. Psillos, “Open, Internet- Based, Virtual Laboratories for Physics”, 9th Panhellenic Conference on Sciences and New Technologies in Education (Enefet), Thessaloniki, Greece, pp. 387-395, 2015
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E. Syrmos, V. Sidiropoulos, D. Bechtsis, F. Stergiopoulos, E. Aivazidou, D. Vrakas, P. Vezinias and I. Vlahavas, "An intelligent modular water monitoring IoT system for real-time quantitative and qualitative measurements", Accepted for Publication in Sustainability, Special Issue on Water Management and Environmental Engineering, 2023
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A. Chytas, N. Bassiliades, I. Vlahavas, P. Natsiavas, “Towards a Systems Pharmacology Ontology: the use of state-machines paradigm”, Proc. 14th International Semantic Web Applications and Tools for Health Care and Life Sciences Conference (SWAT4HCLS), Basel, Switzerland, 13-16 Feb 2023, CEUR Workshop Proceedings, Vol. 2956.
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Aristotelis Lazaridis and Ioannis Vlahavas. “GENEREIT: Generating Multi-talented Reinforcement Learning Agents”. International Journal of Information Technology, Springer, 2022.
I. Pierros, E. Kouloumpris, D. Zaikis, I. Vlahavas. “Retail Demand Forecasting for 1 Million Products”, in Proceedings of the Intelligent Systems Design and Applications (ISDA 2023), Lecture Notes in Networks and Systems, vol 646, pp. 467–79, 2023. https://doi.org/10.1007/978-3-031-27440-4_45.
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E. Kouloumpris, A. Konstantinou, S. Karlos, G. Tsoumakas, and I. Vlahavas, “Short-term Load Forecasting With Clustered Hybrid Models Based On Hour Granularity”, In Proceedings of the 12th Hellenic Conference on Artificial Intelligence (SETN ’22), Corfu, Greece, 7-9 Sep 2022, Article 42, pp. 1–10, Association for Computing Machinery, 2022, DOI: https://doi.org/10.1145/3549737.3549783
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I. Almalis, E. Kouloumpris, and I. Vlahavas. “Sector-level sentiment analysis with deep learning”. Knowledge-Based Systems, p. 109954. issn: 0950-7051., 2022, DOI: https://doi.org/10.1016/j.knosys.2022.109954.
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G. Liapis, L. Stefanou, I. Vlahavas, "Classifying Intelligence Tests Patterns Using Machine Learning Methods", International Conference on Pattern Recognition Applications and Methods, February 2023
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