George Paliouras

Head of 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. V. Konstantakos, A. Nentidis, A. Krithara and G. Paliouras, CRISPR–Cas9 gRNA efficiency prediction: an overview of predictive tools and the role of deep learning, Nucleic Acids Research, (2022). (Publisher’s online version)
  2. L. Loukas, M. Fergadiotis, P. Malakasiotis, I. Chalkidis, E. Spyropoulou, I. Androutsopoulos and G. Paliouras, FiNER: Financial Numeric Entity Recognition for XBRL Tagging, 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 23-25 May, (2022). (Publisher’s online version) (pdf preprint)
  3. G. Katsimpras and G. Paliouras, Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization, 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 23-25 May, (2022). (Publisher’s online version) (pdf preprint)
  4. E. Tsilionis, A. Artikis and G. Paliouras, Incremental Event Calculus for Run-Time Reasoning, Journal of Artificial Intelligence Research (JAIR), (2022). (Publisher’s online version)
  5. E. Alevizos, A. Artikis and G. Paliouras, Complex event forecasting with prediction suffix trees, VLDB J., volume 31, pp. 157–180, (2022). (Publisher’s online version) (pdf preprint)
  6. N. Katzouris, A. Artikis and G. Paliouras, Online Learning Probabilistic Event Calculus Theories in Answer Set Programming, Theory & Practice of Logic Programming, Cambridge University Press, pp. 1–25, (2021). (Publisher’s online version) (pdf preprint)
  7. A. Nentidis, A. Krithara, G. Tsoumakas and G. Paliouras, What is all this new MeSH about?, International Journal on Digital Libraries, v.22, n.4, pp. 319-337 (2021). (Publisher’s online version) (pdf preprint)
  8. 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)
  9. 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)
  10. 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)

dblp     Google Scholar     Lab’s database     old site

Current Projects

For other current Projects of SKEL The AI Lab, click here

Bioasq

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

EVENFLOW

Robust Learning and Reasoning for Complex Event Forecasting

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

CREXDATA

Critical Action Planning over Extreme-Scale Data

MALT-P

Machine Learning Automated Test Processes

ENEXA

Efficient Explainable Learning on Knowledge Graphs

smartHEALTH

European Digital Innovation Hub for Smart Health - Precision Medicine and Innovative e-health Services

Education

Courses

Masters


Supervising PhD theses

In Progress

  1. Bougiatiotis Konstantinos, Multi-relational network analysis based on machine learning methods, National and Kapodistrian University of Athens
  2. Fasoulis Romanos, Deep Learning methods for biological network analysis, Rice University
  3. Kelesis Jim, Graph Neural Networks, National Technical University of Athens
  4. Manginas Nikos, Neuro-symbolic Machine Learning methods, Katholieke Universiteit Leuven
  5. Mantenoglou Periklis, Optimization Methods for Complex Event Recognition, National and Kapodistrian University of Athens
  6. Michelioudakis Vangelis, Structure learning in Markov Logic Networks, National and Kapodistrian University of Athens
  7. Nentidis Anastasios, Knowledge discovery from biomedical data, Aristotle University of Thessaloniki
  8. Tsilionis Efthimis, Machine learning methods for complex event recognition, National and Kapodistrian University of Athens

Completed

  1. Smailis Christos, Context-based person re-identification in video (2022), University of Houston
  2. Alevizos Elias, Complex Event Forecasting (2022), National and Kapodistrian University of Athens
  3. Katzouris Nikolaos, Scalable Relational Learning for Event Recognition (2017), National and Kapodistrian University of Athens
  4. Kosmopoulos Aris, Large Scale Hierarchical Text Classification (2015), Athens University of Economics
  5. Skarlatidis Anastasios, Event Recognition Under Uncertainty and Incomplete Data (2014), University of Aegean
  6. Dimitris Pierrakos, Web usage mining (2011), National and Kapodistrian University of Athens
  7. Petasis Georgios, Machine learning for natural language processing (2011), National and Kapodistrian University of Athens
  8. Zavitsanos Elias, Learning ontologies from text collections and evaluating them against gold standards (2009), University of Aegean
  9. 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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