MADAM – Methods for Analysis of Data: Algorithms and Modelling

What We Do

http://madam.mini.pw.edu.pl/

Research interests:

  • data aggregation and fusion
  • complex networks and agent-based models
  • machine learning algorithms
  • interdisciplinary modeling (economics, social sciences, sports, etc.)

Grants

Construction and analysis of methods of information resources producers' quality management

National Science Center (NCN), Poland; Research project 2014/13/D/HS4/01700; Host institution: Systems Research Institute, Polish Academy of Sciences; Duration: 30 months; 2015-2017 (chief investigators)

New approaches to aggregation operators in analysis and processing of data

The Czech Science Foundation (GAČR), research project 18-06915S, Host institution: University of Olomouc, Czechia; Duration: 36 months; 2018 (partner investigators)

Publications

Key works

Recent contributions

Pérez-Fernández R., De Baets B., Gagolewski M., A taxonomy of monotonicity properties for the aggregation of multidimensional data, Information Fusion 52, 2019, pp. 322-334. doi:10.1016/j.inffus.2019.05.006

Gagolewski M., James S., Beliakov G., Supervised learning to aggregate data with the Sugeno integral, IEEE Transactions on Fuzzy Systems 27(4), 2019, pp. 810-815. doi:10.1109/TFUZZ.2019.2895565

Gagolewski M., Bartoszuk M., Cena A., Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm, Information Sciences 363, 2016, pp. 8-23. doi:10.1016/j.ins.2016.05.003

Żogała-Siudem B., Siudem G., Cena A., Gagolewski M., Agent-based model for the h-index – Exact solution, European Physical Journal B 89:21, 2016. doi:10.1140/epjb/e2015-60757-1

Gagolewski M., Spread measures and their relation to aggregation functions, European Journal of Operational Research 241(2), 2015, pp. 469-477. doi:10.1016/j.ejor.2014.08.034

more...
Geras A., Siudem G., Gagolewski M., Should we introduce a dislike button for academic papers?, Journal of the Association for Information Science and Technology, 2019, to appear. doi:10.1002/ASI.24231

Gagolewski M., James S., Beliakov G., Supervised learning to aggregate data with the Sugeno integral, IEEE Transactions on Fuzzy Systems 27(4), 2019, pp. 810-815. doi:10.1109/TFUZZ.2019.2895565

Lasek J., Gagolewski M., The efficacy of league formats in ranking teams, Statistical Modelling 18(5-6), 2018, pp. 411-435.

Beliakov G., Gagolewski M., James S., Aggregation on ordinal scales with the Sugeno integral for biomedical applications, Information Sciences, 2019, to appear. doi:10.1016/j.ins.2019.06.023

Team

Prof. Marek Gągolewski

Founder

Dr. Grzegorz Siudem

Member

Dr. Maciej Bartoszuk

Member

Dr. Anna Cena

Member

dr. Jan Lasek

Member

Barbara Żogała-Siudem

Member

Agnieszka Geras

Member

Have a Project in Mind?

Please get in touch with the head of the group.