George Paliouras is a Researcher at the IIT in the NCSR Demokritos in Athens, Greece.
He is heading the Division of Intelligent Information Systems of IIT.
He is also adjunct professor at the Department of Computer Science, University of Houston, USA.
Scholar Profile | CV in English | Contact
  Books / Sp. issues
Book chapters
Research associates
  Current associates
Past associates
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Research Interests

machine learning, knowledge discovery, artificial intelligence, personalization, user modelling, information filtering, information extraction, event recognition, ontology learning, grammar learning, Web mining

Current and Recent Activities

The winners of the third BioASQ challenge on large-scale biomedical semantic indexing and question answering have been announced here.
New project HOBBIT (HOlistic Benchmarking of BIg linked daTa) has started on December 1, 2015.
New project datACRON (Big Data Analytics for Time Critical Mobility Forecasting) to start on January 1, 2016.
Coordinating the project SPEEDD (Scalable ProactivE Event-Driven Decision making).
Participating in the project REVEAL (REVEALing hidden concepts in Social Media).
Check the Web site of our Complex Event Recognition (CER) group.
Check the Web site of our Personalization and Social Network Analysis (PerSoNA) group.
Check our generic and free personalization server PServer, provided in cooperation with Scify.
Undergrad and postgrad theses by the division of Intelligent Information Systems (in Greek).
Serving in the editorial board of COIN.
Contributing to the Web resource Real Time Insights (RT Insights).

Ten Selected Recent Publications
  1. G. Paliouras, S. Papadopoulos, D. Vogiatzis and Y. Kompatsiaris (editors), User Community Discovery, Springer, 2015. (Springer online version)

  2. 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. (MLJ online version) (pdf preprint)

  3. 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. (DMKD online version) (pdf preprint)

  4. 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. (IEEE online version) (pdf preprint)

  5. 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. (BMC online version) (pdf)

  6. A. Skarlatidis, G. Paliouras, A. Artikis and G.A. Vouros, "Probabilistic Event Calculus for Event Recognition," ACM Transactions on Computational Logic, v. 16, n. 2, pp. 11:1-11:37, 2015. (ACM online version) (pdf)

  7. A. Skarlatidis, A. Artikis, J. Filippou and G. Paliouras, "A Probabilistic Logic Programming Event Calculus," Theory and Practice of Logic Programming, v. 15, n. 2, pp. 213-245, 2015. (TPLP online version) (pdf preprint)

  8. A. Krithara and G. Paliouras, "TL-PLSA: Transfer learning between domains with different classes," Proceedings of the IEEE International Conference on Data Mining (ICDM), Dallas, Texas, USA, December 7-10, 2013. (pdf)

  9. G. Paliouras, "Discovery of Web user communities and their role in personalization," Special Issue on Coming of Age: Celebrating a Quarter Century of User Modeling and Personalization, J. Kay and G. McCalla (editors), User Modeling and User-Adapted Interaction, v. 22, n. 1-2, pp. 151-175, 2012. (UMUAI online version) (pdf preprint)

  10. E. Zavitsanos, G. Paliouras and G.A. Vouros, "Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes," Journal of Machine Learning Research, v. 12, pp. 2749-2775, 2011. (JMLR online version) (pdf)

  11. E. Zavitsanos, G. Paliouras and G.A. Vouros, "Gold Standard Evaluation of Ontology Learning Methods Through Ontology Transformation and Alignment," IEEE Transactions on Knowledge and Data Engineering, v. 23, n. 11, pp. 1635-1648, 2011. (IEEE online version) (pdf preprint)