George Paliouras

George Paliouras


paliourg@iit.demokritos.gr
georgios-paliouras-a203a79
https://users.iit.demokritos.gr/~paliourg/

National Center for Scientific Research Demokritos
Patr. Gregoriou E & Neapoleos Str 27
15341 Agia Paraskevi
Athens, Greece

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.

George is heading the SKEL lab of the Institute of Informatics and Telecommunications at NCSR “Demokritos”. With more than 60 researchers and staff, SKEL is one of the largest Artificial Intelligence labs in Europe. George holds a PhD from the University of Manchester, UK, on machine learning. He has performed basic and applied research in AI for more than 25 years, has chaired international conferences and serves in the editorial board of related journals. He has also been leading large international research projects and has co-founded innovative spin-offs.

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.

Publications

2025

  1. Springer
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    Calibrating TabTransformer for financial misstatement detection
    Applied Intelligence, 2025
  2. ACM
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    Machine Learning for Identifying Risk in Financial Statements: A Survey
    Elias ZavitsanosEirini Spyropoulou, George Giannakopoulos, and Georgios Paliouras
    ACM Comput. Surv., Mar 2025
    Just Accepted

2024

  1. ICAIF
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    Bankruptcy Prediction: Data Augmentation, LLMs and the Need for Auditor’s Opinion
    In Proceedings of the 5th ACM International Conference on AI in Finance, Mar 2024
  2. Nature
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    Entrant: A large financial dataset for table understanding
    Scientific Data, Mar 2024
  3. LREC
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    Dice@ ml-esg-3: Esg impact level and duration inference using llms for augmentation and contrastive learning
    In Proceedings of the Joint Workshop of the 7th Financial Technology and Natural Language Processing, the 5th Knowledge Discovery from Unstructured Data in Financial Services, and the 4th Workshop on Economics and Natural Language Processing@ LREC-COLING 2024, Mar 2024

2023

  1. CNA
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    Efficient Complex Network Representation Using Prime Numbers
    In International Conference on Complex Networks and Their Applications, Mar 2023
  2. IEEE
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    Identifying going concern issues in auditor opinions: link to bankruptcy events
    In 2023 IEEE International Conference on Big Data (BigData), Mar 2023

2022

  1. ACL
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    FiNER: Financial numeric entity recognition for XBRL tagging
    In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), May 2022

2021

  1. ICAIF
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    Financial misstatement detection: a realistic evaluation
    In Proceedings of the Second ACM International Conference on AI in Finance, May 2021