1. G. Katsimpras and G. Paliouras, Class-aware tensor factorization for multi-relational classification, Information Processing & Management, v. 57, n. 2, pp. 102068 (2020). (Publisher’s online version) (pdf preprint)
2. E. Michelioudakis, A. Artikis and G. Paliouras, Semi-supervised online structure learning for composite event recognition, Machine Learning. v. 108, is. 7, pp. 1085-1110 (2019). (Publisher’s online version) (pdf preprint)
3. E. Alevizos, A. Skarlatidis, A. Artikis and G. Paliouras, Probabilistic Complex Event Recognition: A Survey, ACM Computing Surveys. v. 50, is. 5, n. 71, pp.1-31 (2017). (Publisher’s online version) (pdf preprint)
4. N. Katzouris, A. Artikis and G. Paliouras, Online learning of event definitions, Theory and Practice in Logic Programming v. 16, n. 5-6, pp. 817-833 (2016). (Publisher’s online version) (pdf preprint)
5. G. Papadakis, G. Giannakopoulos and G. Paliouras, Graph vs. bag representation models for the topic classification of web documents, World Wide Web v. 19, n. 5, pp. 887-920 (2016). (Publisher’s online version) (pdf preprint)
6. G. Paliouras, S. Papadopoulos, D. Vogiatzis and Y. Kompatsiaris (editors), User Community Discovery, Springer (2015). (Publisher’s online version)
7. N. Katzouris, A. Artikis and G. Paliouras, Incremental learning of event definitions with Inductive Logic Programming, Machine Learning, v. 100, n. 2, pp. 555-585 (2015). (Publisher’s online version) (pdf preprint)
8. A. Kosmopoulos, I. Partalas, E. Gaussier, G. Paliouras and I. Androutsopoulos, Evaluation measures for hierarchical classification: a unified view and novel approaches, Data Mining and Knowledge Discovery, v. 29, n. 3, pp. 820-865 (2015). (Publisher’s online version) (pdf preprint)
9. A. Artikis, M. J. Sergot and G. Paliouras, An Event Calculus for Event Recognition, IEEE Transactions on Knowledge and Data Engineering, v. 27, n. 4, pp. 895-908 (2015). (Publisher’s online version) (pdf preprint)
10. G. Tsatsaronis, G. Balikas, P. Malakasiotis, I. Partalas, M. Zschunke, M.R. Alvers, D. Weissenborn, A. Krithara, S. Petridis, D. Polychronopoulos, Y. Almirantis, J. Pavlopoulos, N. Baskiotis, P. Gallinari, T. Artieres, A. Ngonga, N. Heino, E. Gaussier, L. Barrio-Alvers, M. Schroeder, I. Androutsopoulos and G. Paliouras, An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition, BMC Bioinformatics, v. 16, n. 138 (2015). (Publisher’s online version) (pdf preprint)

dblp     Google Scholar     Lab’s database     old site

Courses

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

Supervising PhD theses

In Progress

1. Michelioudakis Vangelis, Structure learning in Markov Logic Networks
2. Smailis Christos, Context-based person re-identification in video
3. Tsilionis Efthimis, Machine learning methods for complex event recognition
4. Alevizos Elias, Complex Event Forecasting
5. Bougiatiotis Konstantinos, Multi-relational network analysis based on machine learning methods
6. Nentidis Anastasios, Knowledge discovery from biomedical data

Completed

1. Katzouris Nikolaos, Scalable Relational Learning for Event Recognition (2017)
2. Kosmopoulos Aris, Large Scale Hierarchical Text Classification (2015)
3. Skarlatidis Anastasios, Event Recognition Under Uncertainty and Incomplete Data (2014)
4. Dimitris Pierrakos, Web usage mining (2011)
5. Petasis Georgios, Machine learning for natural language processing (2011)
6. Zavitsanos Elias, Learning ontologies from text collections and evaluating them against gold standards (2009)
7. Sigletos Georgios, Meta-learning for information extraction (2005)

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