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.
Board member & Machine Learning advisor of Langaware Inc.
Area Chair of ECAI 2025.

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.

Contact me

News

0 min read
Read more

0 min read
Read more

0 min read
Read more

Selected publications

  1. E. Zavitsanos, E. Spyropoulou, G. Giannakopoulos, G. Paliouras, Machine Learning for Identifying Risk in Financial Statements: A Survey, ACM Computing Surveys, (2025). (Publisher’s online version)
  2. E. Tsilionis, A. Artikis, G. Paliouras, A Tensor-Based Formalization of the Event Calculus, International Joint Conference on Artificial Intelligence (IJCAI), (2024). (Publisher’s online version)
  3. G. Katsimpras, G. Paliouras, GENRA: Enhancing Zero-shot Retrieval with Rank Aggregation, Conference on Empirical Methods in Natural Language Processing (EMNLP), (2024). (Publisher’s online version)
  4. A. Nentidis, A. Krithara, G. Tsoumakas, G. Paliouras, Zero-Shot Relabeling of Weak Labels for Fine-Grained Semantic Indexing of Biomedical Literature, European Conference in Artificial Intelligence (ECAI), (2024). (Publisher’s online version)
  5. E. Alevizos, A. Artikis, G. Paliouras, Complex Event Recognition with Symbolic Register Transducers, VLDB Endowment, (2024). (Publisher’s online version)
  6. A. Krithara, A. Nentidis, E. Vandorou, G. Katsimpras, Y. Almirantis, M. Arnal, A. Bunevicius, E. Farre-Maduell, M. Kassiss, V. Konstantakos, S. Matis-Mitchell, D. Polychronopoulos, J. Rodriguez-Pascual, E. G. Samaras, M. Samiotaki, D. Sanoudou, A. Vozi, G. Paliouras, BioASQ Synergy: a dialogue between question-answering systems and biomedical experts for promoting COVID-19 research, Journal of the American Medical Informatics Association, (2024). (Publisher’s online version)
  7. E. Michelioudakis, A. Artikis, G. Paliouras, Online semi-supervised learning of composite event rules by combining structure and mass-based predicate similarity, Machine Learning, (2024). (Publisher’s online version)
  8. G. Katsimpras, G. Paliouras, Improving Graph Neural Networks by combining active learning with self-training, Data Mining and Knowledge Discovery, (2024). (Publisher’s online version)
  9. 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 (ECAI), (2023). (Publisher’s online version)
  10. N. Katzouris, G. Paliouras, Answer Set Automata: A Learnable Pattern Specification Framework for Complex Event Recognition, European Conference in Artificial Intelligence (ECAI), (2023). (Publisher’s online version)
  11. P. Mantenoglou, A. Artikis, G. Paliouras, Online Event Recognition over Noisy Data Streams, International Journal of Approximate Reasoning, (2023). (Publisher’s online version)

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

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

TEACHING

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. Kelesis Jim, Graph Neural Networks, National Technical University of Athens
  3. Manginas Nikos, Neuro-symbolic Machine Learning methods, Katholieke Universiteit Leuven
  4. Sideras Andreas, Anomaly Detection in Financial Data, University of Piraeus

Completed

  1. Tsilionis Efthimis, Scalable Complex Event Recognition (2024), University of Athens, Greece
  2. Mantenoglou Periklis, Reasoning over Complex Temporal Specifications and Noisy Data Streams (2024), University of Athens, Greece
  3. Nentidis Anastasios, Machine Learning Techniques for Fine-Grained Semantic Indexing of Biomedical Literature (2024), University of Thessaloniki, Greece
  4. Fasoulis Romanos, Sequence-based and structure-based methods for studying the adaptive immune response (2024), Rice University, USA
  5. Michelioudakis Evangelos, Scalable Semi-Supervised Structure Learning for Event Recognition (2023), University of Athens, Greece
  6. Smailis Christos, Context-based person re-identification in video (2022), University of Houston, USA
  7. Alevizos Elias, Complex Event Forecasting (2022), University of Athens, Greece
  8. Katzouris Nikolaos, Scalable Relational Learning for Event Recognition (2017), University of Athens, Greece
  9. Kosmopoulos Aris, Large Scale Hierarchical Text Classification (2015), Athens University of Economics, Greece
  10. Skarlatidis Anastasios, Event Recognition Under Uncertainty and Incomplete Data (2014), University of Aegean, Greece
  11. Dimitris Pierrakos, Web usage mining (2011), University of Athens, Greece
  12. Petasis Georgios, Machine learning for natural language processing (2011), University of Athens, Greece
  13. Zavitsanos Elias, Learning ontologies from text collections and evaluating them against gold standards (2009), University of Aegean, Greece
  14. Sigletos Georgios, Meta-learning for information extraction (2005), University of Athens, Greece

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

TEACHING

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. Kelesis Jim, Graph Neural Networks, National Technical University of Athens
  3. Manginas Nikos, Neuro-symbolic Machine Learning methods, Katholieke Universiteit Leuven
  4. Sideras Andreas, Anomaly Detection in Financial Data, University of Piraeus

Completed

  1. Tsilionis Efthimis, Scalable Complex Event Recognition (2024), University of Athens, Greece
  2. Mantenoglou Periklis, Reasoning over Complex Temporal Specifications and Noisy Data Streams (2024), University of Athens, Greece
  3. Nentidis Anastasios, Machine Learning Techniques for Fine-Grained Semantic Indexing of Biomedical Literature (2024), University of Thessaloniki, Greece
  4. Fasoulis Romanos, Sequence-based and structure-based methods for studying the adaptive immune response (2024), Rice University, USA
  5. Michelioudakis Evangelos, Scalable Semi-Supervised Structure Learning for Event Recognition (2023), University of Athens, Greece
  6. Smailis Christos, Context-based person re-identification in video (2022), University of Houston, USA
  7. Alevizos Elias, Complex Event Forecasting (2022), University of Athens, Greece
  8. Katzouris Nikolaos, Scalable Relational Learning for Event Recognition (2017), University of Athens, Greece
  9. Kosmopoulos Aris, Large Scale Hierarchical Text Classification (2015), Athens University of Economics, Greece
  10. Skarlatidis Anastasios, Event Recognition Under Uncertainty and Incomplete Data (2014), University of Aegean, Greece
  11. Dimitris Pierrakos, Web usage mining (2011), University of Athens, Greece
  12. Petasis Georgios, Machine learning for natural language processing (2011), University of Athens, Greece
  13. Zavitsanos Elias, Learning ontologies from text collections and evaluating them against gold standards (2009), University of Aegean, Greece
  14. Sigletos Georgios, Meta-learning for information extraction (2005), University of Athens, Greece

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

Contact

Connect with me