George Paliouras

Head of the Division of Intelligent Information Systems of IIT of NCSR “Demokritos” in Athens, Greece. Head of the Software and Knowledge Engineering Laboratory (SKEL). Director of the Artificial Intelligence Center of Excellence in Document Intelligence (DICE). Area Editor in the journal of Computational Intelligence.

Research Interests - keywords: machine learning, knowledge discovery, artificial intelligence, bioinformatics, personalization, user modelling, information filtering, information extraction, event recognition, ontology learning, grammar learning, Web mining.

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Selected publications

  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)

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Current Projects

(For other Projects of the Lab, click here)


Personalized Medicine for Lung Cancer Treatment: Using Big Data-driven approaches for decision support


Artificial Intelligence Center of Excellence on Document Intelligence


Integration and analysis of heterogeneous big data for precision medicine and suggested treatments for different types of patients


Interactive Extreme-Scale Analytics and Forecasting

Track and Know

Big Data for Mobility Tracking Knowledge Extraction in Urban Areas


Big Data for Medical Analytics


A challenge on large-scale biomedical semantic indexing and question answering



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


  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


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