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E. Kouloumpris, K. Moutsianas, and I. Vlahavas. “SABER: Stochastic-Aware Bootstrap Ensemble Ranking for portfolio management”. Expert Systems with Applications, Vol. 249, Part B, no. 1, p. 123637. issn: 0957-4174., 2024, DOI: https://doi.org/10.1016/j.eswa.2024.123637
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Vasileios Kochliaridis, Anastasia Papadopoulou, Ioannis Vlahavas, "UNSURE - A Machine Learning Approach to Cryptocurrency Trading", Accepted in Applied Intelligence, Springer, 2024
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E. Kouloumpris, A. Lazaridis, A. Fachantidis, and I. Vlahavas. “Diagnosing Attention Deficit Hyperactivity Disorder Using Machine Learning Methods on Serious Game-generated Data”. International Journal on Artificial Intelligence Tools, Vol. 33, no. 1, p. 2350059. issn: 1793-6349., 2024, DOI: https://doi.org/10.1142/S0218213023500598
Dimitrios Zaikis, Stefanos D. Stefanidis, Konstantinos Anagnostopoulos, and Ioannis Vlahavas. “Aristoxenus at SemEval-2023 Task 4: A Domain-Adapted Ensemble Approach to the Identification of Human Values behind Arguments.” In: Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023). Toronto, Canada: Association for Computational Linguistics, 2023, pp. 1037–1043. doi: 10.18653/v1/2023.semeval-1.142. url: https://aclanthology.org/2023.semeval-1.142
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Dimitrios Zaikis, Stylianos Kokkas, and Ioannis Vlahavas. “DACL: A Domain-Adapted Contrastive Learning Approach to Low Resource Language Representations for Document Clustering Tasks.” In: Engineering Applications of Neural Networks. Ed. by Lazaros Iliadis, Ilias Maglogiannis, Serafin Alonso, Chrisina Jayne, and Elias Pimenidis. Vol. 1826. Series Title: Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2023, pp. 585–598. isbn: 978-3-031-34203-5 978-3-031-34204-2. doi: 10.1007/978-3-031-34204-2_47. url: https://link.springer.com/10.1007/978-3-031-34204-2_47.
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Georgios Aivatoglou, Alexia Fytili, Georgios Arampatzis, Dimitrios Zaikis, Stylianou Nikolaos, and Ioannis Vlahavas. “End-to-end Aspect Extraction and Aspect-Based Sentiment Analysis Framework for Low-Resource Languages.” In: Intelligent Systems Conference (IntelliSys) 2023. Series Title: Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2023.
Dimitrios Zaikis and Ioannis Vlahavas. “From Pre-Training to Meta-Learning: A Journey in Low-Resource-Language Representation Learning.” In: IEEE Access 11 (Oct. 2023). IF: 3.9, pp. 115951–115967. doi: 10.1109/ACCESS.2023.3326337. url: https://ieeexplore.ieee.org/document/10288436.
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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