1. E. Zavitsanos, G. Paliouras, Focused PU learning from imbalanced data, Data Mining and Knowledge Discovery Journal, 2026. (Publisher’s online version)
2. N. Katzouris, G. Paliouras, Neuro-Symbolic Learning of Symbolic Automata, European Conference in Machine Learning (ECML/PKDD 2026), 2026. (Publisher’s online version)
3. K. Bougiatiotis, G. Paliouras, From primes to paths: Enabling fast multi-relational graph analysis, Data & Knowledge Engineering, 2026. (Publisher’s online version)
4. E. Tsilionis, A. Artikis, G. Paliouras, A Tensor-Based Probabilistic Event Calculus, International Conference on Principles of Knowledge Representation and Reasoning (KR), 2025. (Publisher’s online version)
5. V. Manginas, N. Manginas, E. Stevinson, S. Varghese, N. Katzouris, G. Paliouras, A. Lomuscio, A Scalable Approach to Probabilistic Neuro-symbolic Robustness Verification, International Conference on Neurosymbolic Learning and Reasoning (NeSy), 2025. Outstanding Paper Award (Publisher’s online version)
6. D. Kelesis, D. Fotakis, G. Paliouras, Analyzing the Effect of Residual Connections to Oversmoothing in Graph Neural Networks, Machine Learning Journal track of ECML/PKDD, 2025. (Publisher’s online version)
7. D. Kelesis, D. Fotakis, G. Paliouras, Partially Trained Graph Convolutional Networks Resist Oversmoothing, Machine Learning Journal, 2025. (Publisher’s online version)
8. N. Manginas, G. Paliouras, L. De Raedt, NeSyA: Neurosymbolic Automata, International Joint Conference on Artificial Intelligence (IJCAI), 2025. (Publisher’s online version)
9. 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)
10. 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)

dblp     Google Scholar     Lab’s database     old site

1. E. Loukas, E. Spyropoulou, P. Malakasiotis, E. Fergadiotis, I. Chalkidis, I. Androutsopoulos, G. Paliouras, System and method for automatically tagging documents (US12333236B2). USPTO (granted 2025)
2. V. Rentoumi, G. Paliouras, Multilingual system for early detection of Alzheimer’s Disease (EP3809411B1). EPO (granted 2025)
3. E. Alevizos, E. Ntoulias, A. Artikis, G. Paliouras, System and method for forecasting complex events (EP3955176B1). EPO (granted 2024)
4. V. Rentoumi, G. Paliouras, Multilingual system for early detection of neurodegenerative and psychiatric disorders (US11114113B2). USPTO (granted 2021)

Courses

Masters

• 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. Manginas Nikos, Neuro-symbolic Machine Learning methods, Katholieke Universiteit Leuven
3. Sideras Andreas, Anomaly Detection in Financial Data, University of Piraeus

Completed

1. Kelesis Dimitrios, Efficient Approaches to Deal with Oversmoothing in Deep Graph Neural Networks (2025), National Technical University of Athens, Greece
2. Tsilionis Efthimis, Scalable Complex Event Recognition (2024), University of Athens, Greece
3. Mantenoglou Periklis, Reasoning over Complex Temporal Specifications and Noisy Data Streams (2024), University of Athens, Greece
4. Nentidis Anastasios, Machine Learning Techniques for Fine-Grained Semantic Indexing of Biomedical Literature (2024), University of Thessaloniki, Greece
5. Fasoulis Romanos, Sequence-based and structure-based methods for studying the adaptive immune response (2024), Rice University, USA
6. Michelioudakis Evangelos, Scalable Semi-Supervised Structure Learning for Event Recognition (2023), University of Athens, Greece
7. Smailis Christos, Context-based person re-identification in video (2022), University of Houston, USA
8. Alevizos Elias, Complex Event Forecasting (2022), University of Athens, Greece
9. Katzouris Nikolaos, Scalable Relational Learning for Event Recognition (2017), University of Athens, Greece
10. Kosmopoulos Aris, Large Scale Hierarchical Text Classification (2015), Athens University of Economics, Greece
11. Skarlatidis Anastasios, Event Recognition Under Uncertainty and Incomplete Data (2014), University of Aegean, Greece
12. Dimitris Pierrakos, Web usage mining (2011), University of Athens, Greece
13. Petasis Georgios, Machine learning for natural language processing (2011), University of Athens, Greece
14. Zavitsanos Elias, Learning ontologies from text collections and evaluating them against gold standards (2009), University of Aegean, Greece
15. Sigletos Georgios, Meta-learning for information extraction (2005), University of Athens, Greece

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