Intelligent Systems Lab

Spyridon Symeonidis, Georgios Meditskos, Stefanos Vrochidis, Konstantinos Avgerinakis, Jens Derdaele, Maarten Vergauwen, Maarten Bassier, Ayman Moghnieh, Luis Fraguada, Verena Vogler, Yash Shekhawat, Leo Wanner, Montserrat Marimon, Kalliopi Valsamidou, Panagiota Koulali, Anastasios Tellios, Jolan Wuyts and Eva Lopez, “V4Design: Intelligent analysis and integration of multimedia content for Creative Industries”, ΙΕΕΕ Systems Journal, 2022, https://doi.org/10.1109/JSYST.2022.3217655

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.

Aristotelis Lazaridis and Ioannis Vlahavas. “GENEREIT: Generating Multi-talented Reinforcement Learning Agents”. International Journal of Information Technology, Springer, 2022.

I. Pierros, E. Kouloumpris, D. Zaikis, I. Vlahavas. “Retail Demand Forecasting for 1 Million Products”, in Proceedings of the Intelligent Systems Design and Applications (ISDA 2023), Lecture Notes in Networks and Systems, vol 646, pp. 467–79, 2023. https://doi.org/10.1007/978-3-031-27440-4_45.

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

I. Almalis, E. Kouloumpris, and I. Vlahavas. “Sector-level sentiment analysis with deep learning”. Knowledge-Based Systems, p. 109954. issn: 0950-7051., 2022, DOI: https://doi.org/10.1016/j.knosys.2022.109954.

G. Liapis, L. Stefanou, I. Vlahavas, "Classifying Intelligence Tests Patterns Using Machine Learning Methods", International Conference on Pattern Recognition Applications and Methods, February 2023

G. Liapis, K. Zacharia, K. Rrasa, A. Liapi, I. Vlahavas, “Modelling Core Personality Traits Behaviours in a Gamified Escape Room Environment”, 16th European Conference on Games Based Learning, September 2022

G. Liapis, Lazaridis A., Vlahavas I., “Escape Room Experience for Team Building Through Gamification Using Deep Reinforcement Learning”, 15th European Conference on Game Based Learning (ECGBL), September 2021

Alexios Gidiotis, and Grigorios Tsoumakas. "Should We Trust This Summary? Bayesian Abstractive Summarization to The Rescue". Findings of the Association for Computational Linguistics: ACL 2022. Association for Computational Linguistics. 2022.

D. Zaikis, C. Karalka, I. Vlahavas, "A Message Passing Approach to Biomedical Relation Classification for Drug–Drug Interactions", Applied Sciences, Volume 12(21), Article 10987, 2022, DOI: https://doi.org/10.3390/app122110987

Nalmpantis, C., Vrysis, L., Vlachava, D., Papageorgiou L. & Vrakas D., "Noise invariant feature pooling for the internet of audio things". Multimed Tools Appl 81, 32057–32072 (2022). https://doi.org/10.1007/s11042-022-12931-y

Mischos, S., Dalagdi, E. & Vrakas, D. Intelligent energy management systems: a review. Artif Intell Rev (2023). https://doi.org/10.1007/s10462-023-10441-3

A. Bardos, I. Mollas, N. Bassiliades, G. Tsoumakas, "Local Explanation of Dimensionality Reduction", 12th Hellenic Conference on Artificial Intelligence (SETN 2022), Sep 7-9, 2022, Corfu, Greece. ACM, New York, NY, USA, Article 29, 1–9.

I. Mollas, N. Bassiliades, G. Tsoumakas, "Altruist: Argumentative Explanations through Local Interpretations of Predictive Models", 12th Hellenic Conference on Artificial Intelligence (SETN 2022), Sep 7-9, 2022, Corfu, Greece. ACM, New York, NY, USA, Article 21, 1–10.

E. Karagianni, E. Rigas, N. Bassiliades, "Scheduling drones to recharge electric vehicles", 12th Hellenic Conference on Artificial Intelligence (SETN 2022), Sep 7-9, 2022, Corfu, Greece. ACM, New York, NY, USA, Article 22, 1–4.

Z. Vasileiou, G. Meditskos, S. Vrochidis, N. Bassiliades, "An Explainable Multimodal Fusion Approach for Mass Casualty Incidents", 4th International Workshop on Machine Learning and Knowledge Graphs (MLKgraphs 2022), Workshop of the 33rd DEXA Conference, 22 Aug 2022, Vienna, Austria, in: G. Kotsis et al., Database and Expert Systems Applications - DEXA 2022 Workshops. DEXA 2022. Communications in Computer and Information Science, vol 1633, pp. 375–379, Springer, Cham, 2022.

I. Gocev, G. Meditskos, N. Bassiliades, "Towards Explaining DL Non-entailments by Utilizing Subtree Isomorphisms", Proc. 24th International Conference on Information Integration and Web Intelligence (iiWAS2022), 28-30 Nov 2022, virtual conference, LNCS, vol 13635, Springer, pp. 385–390, 2022.

K. Mokos, Th. Nestoridis, P. Katsaros, N. Bassiliades, "Semantic Modeling and Analysis of Natural Language System Requirements", IEEE Access, vol. 10, pp. 84094-84119, 2022.

N. V. Gkalinikis and D. Vrakas, "Efficient Deep Learning Techniques for Water Disaggregation," 2022 2nd International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED), Thessaloniki, Greece, 2022, pp. 1-6, doi: 10.1109/SyNERGYMED55767.2022.9941424.