1. E. Tsilionis, A. Artikis, G. Paliouras, A Tensor-Based Formalization of the Event Calculus, International Joint Conference on Artificial Intelligence (IJCAI), (2024). (Publisher’s online version)
2. G. Katsimpras, G. Paliouras, GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation, Conference on Empirical Methods in Natural Language Processing (EMNLP), (2024). (PDF preprint)
3. A. Nentidis, A. Krithara, G. Tsoumakas, G. Paliouras, Zero-Shot Relabeling of Weak Labels for Fine-Grained Semantic Indexing of Biomedical Literature, European Conference in Artificial Intelligence (ECAI), (2024). (Publisher’s online version)
4. E. Alevizos, A. Artikis, G. Paliouras, Complex Event Recognition with Symbolic Register Transducers, VLDB Endowment, (2024). (Publisher’s online version)
5. A. Krithara, A. Nentidis, E. Vandorou, G. Katsimpras, Y. Almirantis, M. Arnal, A. Bunevicius, E. Farre-Maduell, M. Kassiss, V. Konstantakos, S. Matis-Mitchell, D. Polychronopoulos, J. Rodriguez-Pascual, E. G. Samaras, M. Samiotaki, D. Sanoudou, A. Vozi, G. Paliouras, BioASQ Synergy: a dialogue between question-answering systems and biomedical experts for promoting COVID-19 research, Journal of the American Medical Informatics Association, (2024). (Publisher’s online version)
6. E. Michelioudakis, A. Artikis, G. Paliouras, Online semi-supervised learning of composite event rules by combining structure and mass-based predicate similarity, Machine Learning, (2024). (Publisher’s online version)
7. G. Katsimpras, G. Paliouras, Improving Graph Neural Networks by combining active learning with self-training, Data Mining and Knowledge Discovery, (2024). (Publisher’s online version)
8. D. Kelesis, D. Vogiatzis, G. Katsimpras, D. Fotakis, G. Paliouras, Reducing oversmoothing in graph neural networks by changing the activation function, European Conference in Artificial Intelligence (ECAI), (2023). (Publisher’s online version)
9. N. Katzouris, G. Paliouras, Answer Set Automata: A Learnable Pattern Specification Framework for Complex Event Recognition, European Conference in Artificial Intelligence (ECAI), (2023). (Publisher’s online version)
10. P. Mantenoglou, A. Artikis, G. Paliouras, Online Event Recognition over Noisy Data Streams, International Journal of Approximate Reasoning, (2023). (Publisher’s online version)

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Courses

Masters

• MSc in “Data Science” - started in October 2017
• MSc in “Artificial Intelligence” - started in October 2019

Supervising PhD theses

In Progress

1. Bougiatiotis Konstantinos, Multi-relational network analysis based on machine learning methods, National and Kapodistrian University of Athens
2. Kelesis Jim, Graph Neural Networks, National Technical University of Athens
3. Manginas Nikos, Neuro-symbolic Machine Learning methods, Katholieke Universiteit Leuven
4. Tsilionis Efthimis, Machine learning methods for complex event recognition, National and Kapodistrian University of Athens
5. Sideras Andreas, Anomaly Detection in Financial Data, University of Piraeus

Completed

1. Mantenoglou Periklis, Optimization Methods for Complex Event Recognition (2024), National and Kapodistrian University of Athens
2. Nentidis Anastasios, Knowledge discovery from biomedical data (2024), Aristotle University of Thessaloniki
3. Fasoulis Romanos, Deep Learning methods for biological network analysis (2024), Rice University
4. Michelioudakis Vangelis, Scalable Semi-Supervised Structure Learning for Event Recognition (2023), National and Kapodistrian University of Athens
5. Smailis Christos, Context-based person re-identification in video (2022), University of Houston
6. Alevizos Elias, Complex Event Forecasting (2022), National and Kapodistrian University of Athens
7. Katzouris Nikolaos, Scalable Relational Learning for Event Recognition (2017), National and Kapodistrian University of Athens
8. Kosmopoulos Aris, Large Scale Hierarchical Text Classification (2015), Athens University of Economics
9. Skarlatidis Anastasios, Event Recognition Under Uncertainty and Incomplete Data (2014), University of Aegean
10. Dimitris Pierrakos, Web usage mining (2011), National and Kapodistrian University of Athens
11. Petasis Georgios, Machine learning for natural language processing (2011), National and Kapodistrian University of Athens
12. Zavitsanos Elias, Learning ontologies from text collections and evaluating them against gold standards (2009), University of Aegean
13. Sigletos Georgios, Meta-learning for information extraction (2005), National and Kapodistrian University of Athens

Lab’s MSc theses     Lab’s Internships     Lab’s Suggested Topics