1. E. Zavitsanos, E. Spyropoulou, G. Giannakopoulos, G. Paliouras, Machine Learning for Identifying Risk in Financial Statements: A Survey, ACM Computing Surveys, (2025). (Publisher’s online version)
2. 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)
3. G. Katsimpras, G. Paliouras, GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation, Conference on Empirical Methods in Natural Language Processing (EMNLP), (2024). (Publisher’s online version)
4. 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)
5. E. Alevizos, A. Artikis, G. Paliouras, Complex Event Recognition with Symbolic Register Transducers, VLDB Endowment, (2024). (Publisher’s online version)
6. 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)
7. 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)
8. 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)
9. 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)
10. 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)
11. 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. Sideras Andreas, Anomaly Detection in Financial Data, University of Piraeus

Completed

1. Tsilionis Efthimis, Scalable Complex Event Recognition (2024), University of Athens, Greece
2. Mantenoglou Periklis, Reasoning over Complex Temporal Specifications and Noisy Data Streams (2024), University of Athens, Greece
3. Nentidis Anastasios, Machine Learning Techniques for Fine-Grained Semantic Indexing of Biomedical Literature (2024), University of Thessaloniki, Greece
4. Fasoulis Romanos, Sequence-based and structure-based methods for studying the adaptive immune response (2024), Rice University, USA
5. Michelioudakis Evangelos, Scalable Semi-Supervised Structure Learning for Event Recognition (2023), University of Athens, Greece
6. Smailis Christos, Context-based person re-identification in video (2022), University of Houston, USA
7. Alevizos Elias, Complex Event Forecasting (2022), University of Athens, Greece
8. Katzouris Nikolaos, Scalable Relational Learning for Event Recognition (2017), University of Athens, Greece
9. Kosmopoulos Aris, Large Scale Hierarchical Text Classification (2015), Athens University of Economics, Greece
10. Skarlatidis Anastasios, Event Recognition Under Uncertainty and Incomplete Data (2014), University of Aegean, Greece
11. Dimitris Pierrakos, Web usage mining (2011), University of Athens, Greece
12. Petasis Georgios, Machine learning for natural language processing (2011), University of Athens, Greece
13. Zavitsanos Elias, Learning ontologies from text collections and evaluating them against gold standards (2009), University of Aegean, Greece
14. Sigletos Georgios, Meta-learning for information extraction (2005), University of Athens, Greece

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