Tsoumakas

N. Mylonas, I. Mollas, B. Liu, Y. Manolopoulos and G. Tsoumakas, "On the Persistence of Multilabel Learning, Its Recent Trends, and Its Open Issues," in IEEE Intelligent Systems, vol. 38, no. 2, pp. 28-31, March-April 2023, doi: 10.1109/MIS.2023.3255591.
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
N. Mylonas, I. Mollas and G. Tsoumakas, "Beyond Annual Revisions: A Multi-Label Concept Drift Analysis of MeSH", 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS), L'Aquila, Italy, 2023, pp. 157-162, doi: 10.1109/CBMS58004.2023.00209.
Samaras, A., Bekiaridou, A., Papazoglou, A., Moysidis, D., Tsoumakas, G., Bamidis, P., Tsigkas, G, Lazaros, G., Kassimis, G., Fragakia, N., Vassilikos, V., Zarifis, I., Tziakas, D., Tsioufis, K., Davlouros, P., Giannakoulas, G. (2023) Artificial Intelligence-based Mining of Electronic Health Record Data to Accelerate the Digital Transformation of the National Cardiovascular Ecosystem: Design Protocol of the CardioMining study. BMJ Open.
Nentidis, A., Chatzopoulos, T., Krithara, A., et al. Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature. Journal of Biomedical Informatics, Volume 146, 2023.
I. Mollas, N. Bassiliades, G. Tsoumakas, "Truthful meta-explanations for local interpretability of machine learning models", Applied Intelligence, 53, pp. 26927–26948, 2023.
Gaitanis, A.; Lentzas, A.; Tsoumakas, G.; Vrakas, D. Route Planning for Emergency Evacuation Using Graph Traversal Algorithms. Smart Cities 2023, 6, 1814-1831. https://doi.org/10.3390/smartcities6040084
Bin Liu, Dimitrios Papadopoulos, Fragkiskos D Malliaros, Grigorios Tsoumakas, Apostolos N Papadopoulos, Multiple similarity drug–target interaction prediction with random walks and matrix factorization, Briefings in Bioinformatics, Volume 23, Issue 5, September 2022, bbac353, https://doi.org/10.1093/bib/bbac353
N. Mylonas, I. Mollas, N. Bassiliades, G. Tsoumakas, “Local Multi-Label Explanations for Random Forest”, 4th International Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2022), 19 Sep 2022, Grenoble, France, In I. Koprinska et al. (Eds.): ECML PKDD 2022 Workshops, CCIS 1752, pp. 369–384, Springer Nature, 2023.
Tatiana Passali, Thanassis Mavropoulos, Grigorios Tsoumakas, Georgios Meditskos and Stefanos Vrochidis. "LARD: Large-scale Artificial Disfluency Generation". In Proceedings of the Thirteenth Language Resources and Evaluation Conference, European Language Resources Association, 2022.
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

Useful Pages
© 2024
Intelligent Systems Lab
AUTh IT Center