George Paliouras

Head of The AI Lab SKEL of IIT, NCSR Demokritos in Athens, Greece.
Voluntary chairman of the board of the Duchenne Data Foundation.
Member of the HMA/EMA Joint Big Data Steering Group.
Board member & Machine Learning advisor of Langaware Inc.
Area Chair of ECAI 2024.

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. E. Michelioudakis, A. Artikis, G. Paliouras, Online Semi-Supervised Learning of Composite Event Rules by Combining Structure and Mass-Based Predicate Similarity, Machine Learning Journal, (2023). (Publisher’s online version)
  2. D. Kelesis, D. Vogiatzis, G. Katsimpras, D. Fotakis, G. Paliouras, Reducing oversmoothing in graph neural networks by changing the activation function, European Conference in Artificial Intelligence, (2023). (Publisher’s online version)
  3. N. Katzouris, G. Paliouras, Answer Set Automata: A Learnable Pattern Specification Framework for Complex Event Recognition, European Conference in Artificial Intelligence, (2023). (Publisher’s online version)
  4. P. Mantenoglou, A. Artikis, G. Paliouras, Online Event Recognition over Noisy Data Streams, International Journal of Approximate Reasoning, (2023). (Publisher’s online version)
  5. A. Nentidis, T. Chatzopoulos, A. Krithara, G. Tsoumakas, G. Paliouras, Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature, Journal of Biomedical Informatics, (2023). (Publisher’s online version)
  6. G. Katsimpras and G. Paliouras, Improving Graph Neural Networks by combining active learning with self-training, Data Mining and Knowledge Discovery, (2023). (Publisher’s online version)
  7. V. Konstantakos, A. Nentidis, A. Krithara and G. Paliouras, CRISPRedict: a CRISPR-Cas9 web tool for interpretable efficiency predictions, Nucleic Acid Research, (2022). (Publisher’s online version)
  8. 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)
  9. L. Loukas, M. Fergadiotis, P. Malakasiotis, I. Chalkidis, E. Spyropoulou, I. Androutsopoulos and G. Paliouras, FiNER: Financial Numeric Entity Recognition for XBRL Tagging, Annual Meeting of the Association for Computational Linguistics (ACL), (2022). (Publisher’s online version) (pdf preprint)
  10. G. Katsimpras and G. Paliouras, Predicting Intervention Approval in Clinical Trials through Multi-Document Summarization, Annual Meeting of the Association for Computational Linguistics (ACL), (2022). (Publisher’s online version) (pdf preprint)
  11. 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)
  12. E. Alevizos, A. Artikis and G. Paliouras, Complex event forecasting with prediction suffix trees, VLDB Journal, (2022). (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

ENEXA

Efficient Explainable Learning on Knowledge Graphs

CREXDATA

Critical Action Planning over Extreme-Scale Data

MALT-P

Machine Learning Automated Test Processes

smartHEALTH EDIH

EDIH for Smart Health - Precision Medicine and Innovative e-health Services

MediaPot

Intelligent multimedia content analysis and synthesis supported by social media

EVENFLOW

Robust Learning and Reasoning for Complex Event Forecasting

Bioasq

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

SIMPATHIC

Accelerating drug repurposing for rare neurological, neurometabolic and neuromuscular disorders by exploiting SIMilarities in clinical and molecular PATHology

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. Nentidis Anastasios, Knowledge discovery from biomedical data, Aristotle University of Thessaloniki
  7. Tsilionis Efthimis, Machine learning methods for complex event recognition, National and Kapodistrian University of Athens

Completed

  1. Michelioudakis Vangelis, Scalable Semi-Supervised Structure Learning for Event Recognition (2023), National and Kapodistrian University of Athens
  2. Smailis Christos, Context-based person re-identification in video (2022), University of Houston
  3. Alevizos Elias, Complex Event Forecasting (2022), National and Kapodistrian University of Athens
  4. Katzouris Nikolaos, Scalable Relational Learning for Event Recognition (2017), National and Kapodistrian University of Athens
  5. Kosmopoulos Aris, Large Scale Hierarchical Text Classification (2015), Athens University of Economics
  6. Skarlatidis Anastasios, Event Recognition Under Uncertainty and Incomplete Data (2014), University of Aegean
  7. Dimitris Pierrakos, Web usage mining (2011), National and Kapodistrian University of Athens
  8. Petasis Georgios, Machine learning for natural language processing (2011), National and Kapodistrian University of Athens
  9. Zavitsanos Elias, Learning ontologies from text collections and evaluating them against gold standards (2009), University of Aegean
  10. 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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