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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
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Dimitriadis, D., Tsoumakas, G. (2023) Enhancing Yes/No Question Answering with Weak Supervision via Extractive Question Answering, Applied Intelligence 53(22)
Gidiotis, A., Tsoumakas, G. (2023) Bayesian Active Summarization. Computer Speech & Language, Vol. 83, pages 101553
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Avramelou, L., Passalis, N., Tsoumakas, G., Tefas, A. (2023) Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization, Proc. 2023 IEEE Symposium Series on Computational Intelligence (SSCI 2023), Mexico City, Mexico.
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C. Gkoutroumpi, N. Virtsionis Gkalinikis, D. Vrakas. SGAN: Appliance signatures data generation for NILM applications using GANs, To be presented in the 12th Computing Conference 2024, London UK, (2024)
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Lentzas, Athanasios & Vrakas, Dimitris. (2023). From Robot Self-Localization to Global-Localization: An RSSI Based Approach.. Electronic Proceedings in Theoretical Computer Science. 391. 18-25. 10.4204/EPTCS.391.4.
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Kamtziridis, G., Vrakas, D. & Tsoumakas, G. Does noise affect housing prices? A case study in the urban area of Thessaloniki. EPJ Data Sci. 12, 50 (2023). https://doi.org/10.1140/epjds/s13688-023-00424-3
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.
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.
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