Karlos – Intelligent Systems Lab

Karlos

Mylonas, N., Karlos, S., & Tsoumakas, G. (2023). WeakMeSH: Leveraging provenance information for weakly supervised classification of biomedical articles with emerging MeSH descriptors. Artificial Intelligence in Medicine, 137, 102505. doi:10.1016/j.artmed.2023.102505

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

Vartholomaios, Argyrios, Karlos, Stamatis, Kouloumpris, Eleftherios, and Tsoumakas, Grigorios. "Short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles." International Conference on Database and Expert Systems Applications. Springer, Cham, 2021.

Ioannis Mollas, Zoe Chrysopoulou, Stamatis Karlos, and Grigorios Tsoumakas. "ETHOS: a multi-label hate speech detection dataset." Complex & Intelligent Systems, Springer, 2022.

Karlos, Stamatis, Nikolaos Mylonas, and Grigorios Tsoumakas. "Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing." Pattern Recognition Letters 151 (2021): 62-68.

Mylonas, Nikolaos, Stamatis Karlos, and Grigorios Tsoumakas. "A Multi-instance Multi-label Weakly Supervised Approach for Dealing with Emerging MeSH Descriptors." International Conference on Artificial Intelligence in Medicine. Springer, Cham, 2021.

Nikolaos Mylonas, Stamatis Karlos, and Grigorios Tsoumakas. 2020. Zero- Shot Classification of Biomedical Articles with Emerging MeSH Descriptors. In 11th Hellenic Conference on Artificial Intelligence (SETN 2020), September 2–4, 2020, Athens, Greece. ACM, New York, NY, USA, 10 pages. https://doi. org/10.1145/3411408.3411414

Address

School of Informatics
Aristotle University of Thessaloniki
54124 Thessaloniki, Greece

Contact

Prof. Ioannis P. Vlahavas
tel: ++30 231099-8145
fax: ++30 231099-8362
e-mail: vlahavas@csd.auth.gr

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