2020

T. Toliopoulos, N. Nikolaidis, A.-V. Michailidou, A. Seitaridis, A. Gounaris, N. Bassiliades, A. Georgiadis, F. Liotopoulos, "Developing a Real-Time Traffic Reporting and Forecasting Back-End System", In: Dalpiaz F., Zdravkovic J., Loucopoulos P. (eds) Research Challenges in Information Science. RCIS 2020. Lecture Notes in Business Information Processing, vol 385. Springer, Cham, pp. 58-75, 2020.
A.Gidiotis, S. Stefanidis, G. Tsoumakas (2020) AUTH @ CLSciSumm 20, LaySumm 20, LongSumm 20, 2020 Conference on Empirical Methods in Natural Language Processing
Stylianou, N., and Vlahavas, I., "E.T.: Entity-Transformers. Coreference Augmented Neural Language Model for Richer Mention Representations via Entity-Transformer Blocks" in Proceedings of the Third Workshop on Computational Models of Reference, Anaphora and Coreference, Association for Computational Linguistics, Barcelona, Spain (online). pp. 1–10.
A.Gidiotis, G. Tsoumakas (2020) A Divide-and-Conquer Approach to the Summarization of Long Documents, IEEE Transactions on Audio, Speech and Language Processing
B. Liu, G. Tsoumakas. Dealing with Class Imbalance in Classifier Chains via Random Undersampling. Knowledge-Based Systems 192 (2020): 105292.
A. Lentzas and D. Vrakas, "LadyBug. An Intensity based Localization Bug Algorithm," 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Vienna, Austria, 2020, pp. 682-689.
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
I. Mollas, N. Bassiliades, I. Vlahavas, G. Tsoumakas, “LionForests: local interpretation of random forests”, presented at First International Workshop on New Foundations for Human-Centered AI (NeHuAI 2020) of 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostella, Spain, 4 September 2020.
D. Zaikis and I. Vlahavas, "Drug-Drug Interaction Classification Using Attention Based Neural Networks", In Proceedings of the 11th Hellenic Conference on Artificial Intelligence (SETN '20), Athens, Greece, 2-4 Sep 2020, pp. 34–40, Association for Computing Machinery, 2020
Stylianou, N., Razis, G., Goulis, D.G. and Vlahavas, I., 2020. EBM+: Advancing Evidence-Based Medicine via two level automatic identification of Populations, Interventions, Outcomes in medical literature. Artificial Intelligence in Medicine 108, p.101949.
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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