MADAM – Methods for Analysis of Data: Algorithms and Modelling
What We Do
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/09/Asset-1.png)
Research interests:
- data aggregation and fusion
- complex networks and agent-based models
- machine learning algorithms
- interdisciplinary modeling (economics, social sciences, sports, etc.)
Grants
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/09/app-developer-icon-small-02.png)
Construction and analysis of methods of information resources producers' quality management
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/09/app-developer-icon-small-01.png)
New approaches to aggregation operators in analysis and processing of data
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...
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
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/10/blank-profile-picture-973460_640.png)
Prof. Marek Gągolewski
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/10/blank-profile-picture-973460_640.png)
Dr. Grzegorz Siudem
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/10/blank-profile-picture-973460_640.png)
Dr. Maciej Bartoszuk
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/10/blank-profile-picture-973460_640.png)
Dr. Anna Cena
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/10/blank-profile-picture-973460_640.png)
dr. Jan Lasek
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/10/blank-profile-picture-973460_640.png)
Barbara Żogała-Siudem
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/10/blank-profile-picture-973460_640.png)
Agnieszka Geras
![](http://centrum.datascience.edu.pl/wp-content/uploads/2019/09/app-18-1.png)
Have a Project in Mind?
Please get in touch with the head of the group.