School of Informatics AUTh
K. Sechidis, E. Spyromitros-Xioufis, I. Vlahavas, Multi-target feature selection through output space clustering, ESANN 2019
E. Spyromitros-Xioufis, K.Sechidis, I.Vlahavas, Multi-target regression via output space quantization, 2020 International Joint Conference on Neural Networks (IJCNN), 1-9
K. Sechidis, E. Spyromitros-Xioufis, Ioannis Vlahavas, Information Theoretic Multi-Target Feature Selection, Entropy, MDPI, Entropy 2019, 21(9), 855; doi.org/10.3390/e21090855
N. Bassiliades, G. Chalkiadakis, D. de Jonge, (Eds.), Multi-Agent Systems and Agreement Technologies: 17th European Conference, EUMAS 2020, and 7th International Conference, AT 2020, Thessaloniki, Greece, September 14-15, 2020, Revised Selected Papers, Lecture Notes in Artificial Intelligence, Vol. 12520, pages 608, Springer, 2021, ISBN 978-3-030-66412-1.
I. Vlahavas, P. Kefalas, N. Bassiliades, F. Kokkoras, I. Sakellariou, “Artificial Intelligence, 4th edition (in Greek - Τεχνητή Νοημοσύνη, Δ' Έκδοση)", Book, Έκδοση/Διάθεση: Εκδόσεις Πανεπιστημίου Μακεδονίας, ISBN 978-618-5196-44-8, 1000 pages, 2020
Stylianou, N., and Vlahavas, I., 2021. A neural Entity Coreference Resolution review. Expert Systems With Applications 168, p.114466.
E. Rigas, K. Tsompanidis, “Congestion Management for Mobility-on-Demand Schemes that use Electric Vehicles”, 17th European Conference on Multi-Agent Systems (EUMAS 2020), 14-15 September 2020, Thessaloniki, Greece.
C. Nalmpantis, L. Vrysis, D. Vlachava, L. Papageorgiou, D. Vrakas (2021). "Entropy Based Feature Pooling in Speech Command Classification". In Intelligent Computing-Proceedings of the Computing Conference
Gkalinikis, N. V., Nalmpantis, C., & Vrakas, D. (2020, October). Attention in Recurrent Neural Networks for Energy Disaggregation. In International Conference on Discovery Science (pp. 551-565). Springer, Cham.
K. Kravari, C. Antoniou, N. Bassiliades, "Towards a Requirements Engineering Framework based on Semantics", 24th Pan-Hellenic Conference on Informatics, PCI’2020, Athens, Greece (Online), 20-22 Nov, 2020.
E. Rigas, E. Gerding, S. Stein, S. Ramchurn, N. Bassiliades, "Mechanism design for efficient allocation of electric vehicles to charging stations", Proc. 11th Helenic Conference on Artificial Intelligence (SETN 2020), Sep 2-4, 2020. ACM, New York, NY, USA, pp. 10–15.
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
A.Gidiotis, G. Tsoumakas (2019) Structured Summarization of Academic Publications, 2019 Joint European Conference on Machine Learning and Knowledge Discovery in Databases
B. Liu, K. Pliakos, C. Vens, G. Tsoumakas. (2020) Local Imbalance based Ensemble for Predicting Interactions between Novel Drugs and Targets. Machine Learning for Pharma and Healthcare Applications Workshop (PharML 2020)
B. Liu, G. Tsoumakas. Dealing with Class Imbalance in Classifier Chains via Random Undersampling. Knowledge-Based Systems 192 (2020): 105292.
B. Liu, G. Tsoumakas, (2019) Synthetic Oversampling of Multi-label Data Based on Local Label Distribution, 2019 Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2019), Würzburg, Germany.
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.
