George Paliouras

Head of the The AI Lab SKEL of IIT, NCSR Demokritos in Athens, Greece.
Director of the Artificial Intelligence Center of Excellence in Document Intelligence (DICE).
Area Editor in the Journal of Computational Intelligence. Voluntary chairman of the board of the Duchenne Data Foundation.
Member of the Advisory Board of the EIT High Value Care Forum.
Board member of Langaware Inc.

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. A. Artikis, E. Makris and G. Paliouras, A probabilistic interval-based event calculus for activity recognition, Annals of Mathematics and Artificial Intelligence, v.89, n. 1-2, pp. 29-52, (2021). (Publisher’s online version)
  2. A. Nentidis, A. Krithara, G. Tsoumakas and G. Paliouras, Beyond MeSH: Fine-grained semantic indexing of biomedical literature based on weak supervision, Information Processing & Management, v. 57, n.5, pp.102282 (2020). (Publisher’s online version) (pdf preprint)
  3. 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)
  4. 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)
  5. 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)
  6. 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)
  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

Current Projects

(For other current Projects of the Lab, click here)

Ariadne

ARtificial Intelligence Aided D-band Network for 5G long term Evolution

P4-Lucat

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

Dice

Artificial Intelligence Center of Excellence on Document Intelligence

Infore

Interactive Extreme-Scale Analytics and Forecasting

Bigmedilytics

Big Data for Medical Analytics

Bioasq

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

Education

Courses

Masters


Supervising PhD theses

In Progress

  1. Michelioudakis Vangelis, Structure learning in Markov Logic Networks, National and Kapodistrian University of Athens
  2. Smailis Christos, Context-based person re-identification in video, University of Houston
  3. Tsilionis Efthimis, Machine learning methods for complex event recognition, National and Kapodistrian University of Athens
  4. Alevizos Elias, Complex Event Forecasting, National and Kapodistrian University of Athens
  5. Bougiatiotis Konstantinos, Multi-relational network analysis based on machine learning methods, National and Kapodistrian University of Athens
  6. Nentidis Anastasios, Knowledge discovery from biomedical data, Aristotle University of Thessaloniki
  7. Fasoulis Romanos, Deep Learning methods for biological network analysis, Rice University

Completed

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

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

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