Jerzy Stefanowski

 Ph.D, Habil., Full Professor
 a corresponding member of Polish Academy of Sciences
Office Address:
Poznan University of Technology
Institute of Computing Science
ul. Piotrowo 2
60-965 Poznan, Poland
Phone: +48 61 6652933
Fax: +48 61 8771525
E-mail: Jerzy (dot) Stefanowski  ( _at_ )  cs (dot) put (dot) poznan (dot) pl

Main information

Organization of workshops, special session, journal special issues


  1. Big Data Analysis: New Algorithms for a New Society, Nathalie Japkowicz and Jerzy Stefanowski (Eds), Springer , 2016
  2. Intelligent Decision Support Systems -- Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Slowinski, 2022, edited by S Greco, V Mousseau, J Stefanowski, C Zopounidis; In MCDM Series, Springer 2022
  3. Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems: AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26--29, 2019, Revised Selected Papers, Joint Editorship, Springer, 2019 2019
  4. Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18--22, 2017, Proceedings, Part III, Joint Editorship Springer 2017,
  5. Rough Sets, Fuzzy Sets, Data Mining and Granular Computing 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007. Proceedings, Spirnger, edited by Aijun An, Jerzy Stefanowski, Sheela Ramanna, Cory J. Butz, Witold Pedrycz and Guoyin Wang, 2007
  6. Nowoczesne systemy informatyczne dla malych i srednich przedsiebiorstw, Piotr Adamczewski i Jerzy Stefanowski (red.) Wydawnictwo WSB Poznan 2006

Research grants

Other WWW links

Research Interests:

Machine learning and data mining. Proces of knowledge discovery. Induction of decision rules, classification trees. Mutliple classifiers (ensembles). Handling imbalanced data. Data streams mining. Interpretable ML, Explanaible AI, Mining asociation rules and sequence patterns. Document clustering. Web-mining and text mining. Rough set theory. Data mining applications in medicine, technical diagnostics, financial and management problems.

Major results are concerned with:

For more information see my publications.

Other Scientific Activities:


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Last changes - December 27, 2023