Research

Below is the list of my publications. You can download this list in one BibTeX file.

Papers:

1. Szeląg, M., Słowiński, R., Explaining and predicting customer churn by monotonic rules induced from ordinal data. European Journal of Operational Research, 2023, accepted, DOI: https://doi.org/10.1016/j.ejor.2023.09.028. (link)

2. Szeląg, M., Słowiński, R., Customer churn analytics using monotonic rules. [In]: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Series: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, pp. 287-292. (full text)

3. Rumież A., Szeląg M., Świt-Jankowska B., Marciniak P., Evaluation of Modern Heritage Assets in Poznan using monotonic decision rules. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-M-2-2023, 2023, pp. 1373-1378, doi: 10.5194/isprs-archives-XLVIII-M-2-2023-1373-2023. (full text)

4. Błaszczyński, J., Greco, S., Matarazzo, B., Szeląg, M., Dominance-Based Rough Set Approach: Basic Ideas and Main Trends. Chapter 18 [In]: S. Greco, V. Mousseau, J. Stefanowski, C. Zopounidis (Eds.), Intelligent Decision Support Systems: Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Słowiński, Multiple Criteria Decision Making. Springer, Cham, 2022, pp. 353-382. (preprint; doi)

5. Szeląg, M., Słowiński, R., Dominance-based Rough Set Approach to Bank Customer Satisfaction Analysis. [In]: P. Jędrzejowicz, I. Czarnowski, A. Skakovski, M. Forkiewicz, M. Szarmach, P. Wolski (Eds.), PP-RAI'2022, Proceedings of the 3rd Polish Conference on Artificial Intelligence, April 25-27, 2022, Gdynia, Poland, Publishing House of Gdynia Maritime University, Gdynia, Poland, pp. 147-150. (full text, presentation)

6. Maaroof, N.; Moreno, A.; Valls, A.; Jabreel, M.; Szeląg, M., A Comparative Study of Two Rule-Based Explanation Methods for Diabetic Retinopathy Risk Assessment. Applied Sciences 12(7), 2022, article no. 3358, doi: https://doi.org/10.3390/app12073358 (open access, published: March 25, 2022), direct link: https://www.mdpi.com/2076-3417/12/7/3358.

7. Błaszczyński, J., Teixeira de Almeida Filho, A., Matuszyk, A., Szeląg, M., Słowiński, R., Auto loan fraud detection using dominance-based rough set approach versus machine learning methods. Expert Systems with Applications, 163, 2021, 113740, doi: https://doi.org/10.1016/j.eswa.2020.113740, share link: https://www.sciencedirect.com/science/article/pii/S0957417420305649.

8. Szeląg, M., Błaszczyński, J., Słowiński, R., Rough Set Analysis of Classification Data with Missing Values. [In]: L. Polkowski et al. (Eds.): Rough Sets, International Joint Conference, IJCRS 2017, Olsztyn, Poland, July 3–7, 2017, Proceedings, Part I. Lecture Notes in Artificial Intelligence, vol. 10313, Springer, 2017, pp. 552–565. (manuscript)

9. Szeląg, M., Greco, S., Słowiński, R., Similarity-Based Classification with Dominance-Based Decision Rules. [In]: V. Flores et al. (Eds.): Rough Sets, International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7–11, 2016, Proceedings. Lecture Notes in Artificial Intelligence, vol. 9920, Springer, 2016, pp. 355–364. (manuscript)

10. Kadziński, M., Słowiński, R., Szeląg, M., Dominance-Based Rough Set Approach to Multiple Criteria Ranking with Sorting-Specific Preference Information. [In]: S. Matwin and J. Mielniczuk (Eds.), Challenges in Computational Statistics and Data Mining, Studies in Computational Intelligence 605, 2016, pp. 155-171.

11. Szeląg, M., Greco, S., Słowiński, R., Variable Consistency Dominance-Based Rough Set Approach to Preference Learning in Multicriteria Ranking. Information Sciences, 277, 2014, pp. 525–552. (manuscript)

12. Deng, W., Wang, G., Hu, F., Błaszczyński, J., Słowiński, R., Szeląg, M., A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints. Fundamenta Informaticae, 126 (4), 2013, pp. 377-395.

13. Błaszczyński, J., Greco, S., Matarazzo, B., Słowiński, R., Szeląg, M., jMAF - Dominance-based Rough Set Data Analysis Framework. Chapter 5 [In]: A. Skowron, Z. Suraj (Eds.), Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, Volume 1, Intelligent Systems Reference Library, vol. 42. Springer, 2013, pp. 185-209.

14. Szeląg, M., Greco, S., Słowiński, R., Rule-Based Approach to Multicriteria Ranking. [In]: M. Doumpos, E. Grigoroudis (Eds.), Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and Applications. Wiley, 2013, pp. 127-160.

15. Błaszczyński, J., Słowiński, R., Szeląg, M., Induction of Ordinal Classification Rules from Incomplete Data. [In]: J.T. Yao et al. (Eds.): Rough Sets and Current Trends in Computing 2012. Lecture Notes in Artificial Intelligence, vol. 7413, Springer, Berlin Heidelberg, 2012, pp. 56–65.

16. Błaszczyński, J., Deng, W., Hu, F., Słowiński, R., Szeląg, M., Wang, G., On Different Ways of Handling Inconsistencies in Ordinal Classification with Monotonicity Constraints. [In]: S. Greco et al. (Eds.): Advances in Computational Intelligence, IPMU 2012, Proceedings, Part I. Communications in Computer and Information Science, vol. 297, Springer, Berlin Heidelberg, 2012, pp. 300–309.

17. Szeląg, M., Greco, S., Błaszczyński, J., Słowiński, R., Case-based Reasoning using Dominance-based Decision Rules. [In]: J.T. Yao et al. (Eds), Rough Sets and Knowledge Technology 2011. Lecture Notes in Computer Science, vol. 6954, Springer, Heidelberg, 2011, pp. 404-413.

18. Błaszczyński, J., Słowiński, R., Szeląg, M., Sequential Covering Rule Induction Algorithm for Variable Consistency Rough Set Approaches. Information Sciences, 181, 2011, pp. 987-1002. (manuscript)

19. Błaszczyński, J., Słowiński, R., Szeląg, M., Probabilistic Rough Set Approaches to Ordinal Classification with Monotonicity Constraints. [In]: E. Hüllermeier, R. Kruse, F. Hoffmann (Eds.), IPMU 2010. Lecture Notes in Artificial Intelligence, vol. 6178, Springer, Berlin Heidelberg, 2010, pp. 99–108.

20. Błaszczyński, J., Słowiński, R., Szeląg, M., Learnability in Rough Set Approaches. [In]: M. Szczuka et al. (Eds.), Rough Sets and Current Trends in Computing 2010. Lecture Notes in Artificial Intelligence, vol. 6086, Springer, Berlin Heidelberg, 2010, pp. 402–411.

21. Dembczyński, K., Kotłowski, W., Słowiński, R., Szeląg, M., Learning of Rule Ensembles for Multiple Attribute Ranking Problems. [In]: J. Fürnkranz, E. Hüllermeier (Eds.), Preference Learning. Springer, Berlin Heidelberg, 2010, pp. 217-247.

22. Błaszczyński, J., Greco, S., Słowiński, R., Szeląg, M., Monotonic Variable Consistency Rough Set Approaches. International Journal of Approximate Reasoning, 50(7), 2009, pp. 979-999, doi:10.1016/j.ijar.2009.02.011.

23. Błaszczyński, J., Greco, S., Słowiński, R., Szeląg, M., Monotonic Variable Consistency Rough Set Approaches. [In]: J. Yao, P. Lingras, W. Wu, M. Szczuka, N. J. Cercone, D. Ślęzak (Eds.), Rough Sets and Knowledge Technology 2007. Lecture Notes in Artificial Intelligence, vol. 4481, Springer, Berlin Heidelberg, 2007, pp. 126-133.

24. Błaszczyński, J., Dembczyński, K., Kotłowski, W., Słowiński, R., Szeląg, M., Ensembles of Decision Rules. Foundations of Computing and Decision Sciences, vol. 31, No. 3-4, 2006, pp. 221-232.

25. Błaszczyński, J., Greco, S., Słowiński, R., Szeląg, M., On Variable Consistency Dominance-based Rough Set Approaches. [In]: S. Greco, Y. Hata, S. Hirano, M. Inuiguchi, S. Miyamoto, H. S. Nguyen, R. Słowiński (Eds.), Rough Sets and Current Trends in Computing 2006. Lecture Notes in Artificial Intelligence, vol. 4259, Springer, Berlin, 2006, pp. 191-202.

26. Błaszczyński, J., Dembczyński, K., Kotłowski, W., Słowiński, R., Szeląg, M., Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values. [In]: S. Greco, Y. Hata, S. Hirano, M. Inuiguchi, S. Miyamoto, H. S. Nguyen, R. Słowiński (Eds.), Rough Sets and Current Trends in Computing 2006. Lecture Notes in Artificial Intelligence, vol. 4259, Springer, Berlin, 2006, pp. 224-234.

Research reports:

1. Szeląg, M., Błaszczyński, J., Słowiński, R., Rough set analysis of classification data with missing values, Research Report RA-19/16, Poznań University of Technology, 2016.

2. Błaszczyński, J., Słowiński, R., Szeląg, M., Rough set approach to classification of incomplete data. Research Report RA-22/2013, Poznań University of Technology, 2013. (full text)

3. Błaszczyński, J., Słowiński, R., Szeląg, M., Extensions of rough set approach to handle missing attribute values in classification data. Research Report RA-21/2013, Poznań University of Technology, 2013.

4. Szeląg, M., Greco, S., Słowiński, R., Variable-Consistency Dominance-Based Rough Set Approach to Multicriteria Ranking. Research Report RA-02/12, Poznań University of Technology, 2012.

5. Błaszczyński, J., Deng, W., Hu, F., Słowiński, R., Szeląg, M., Wang, G., On Different Ways of Handling Inconsistencies in Ordinal Classification with Monotonicity Constraints. Research Report RA-15/2011, Poznań University of Technology, 2011.

6. Szeląg, M., Słowiński, R., Greco, S., Błaszczyński, J., Wilk, S., jRank - Ranking using Dominance-based Rough Set Approach. Research Report RA-07/10, Poznań University of Technology, 2010. (full text)

7. Błaszczyński, J., Słowiński, R., Szeląg, M., VC-DomLEM: Rule induction algorithm for variable consistency rough set approaches. Research Report RA-07/09, Poznań University of Technology, 2009. (full text)

8. Błaszczyński, J., Greco, S., Matarazzo, B., Słowiński, R., Szeląg, M., jMAF - Dominance-based Rough Set Data Analysis Framework. Research Report RA-015/08, Poznań University of Technology, 2008. (full text)

9. Błaszczyński, J., Greco, S., Słowiński, R., Szeląg, M., Monotonic Variable Consistency Rough Set Approaches. Research Report RA-010/07, Poznań University of Technology, 2007.

10. Błaszczyński, J., Dembczyński, K., Kotłowski, W., Słowiński, R., Szeląg, M., Ensembles of Decision Rules. Research Report RA-011/06, Poznań University of Technology, 2006. (full text)

Theses:

1. Szeląg, M., Application of the Dominance-based Rough Set Approach to Ranking and Similarity-based Classification Problems, Ph.D. thesis, Poznań University of Technology, 2015 (supervisor: prof. Słowiński, R.). (full text; obszerne streszczenie)

2. M. Szeląg, System wspomagania wielokryterialnego wyboru oparty na regułach decyzyjnych wyindukowanych z przybliżeń relacji preferencji. Praca magisterska, Politechnika Poznańska, 2005 (promotor: prof. dr hab. inż. R. Słowiński).

3. Chojniak M., Juszkiewicz R., Kukawka P., Szeląg M., Serwis www poświęcony modelowi zadania jednorodnego. Praca inżynierska, Politechnika Poznańska, 2003 (promotor: dr hab. inż. M. Drozdowski, prof. PP).

Other papers:

1. Szeląg, M., Słowiński, R., Błaszczyński, J., jRank - Ranking using Dominance-based Rough Set Approach. Newsletter of the European Working Group "Multiple Criteria Decision Aiding", Series 3, no. 22, Fall 2010, pp. 13-15. (full newsletter; manuscript)

Posters:

1. M. Szeląg, R. Słowiński, Explainable rule models in analysis of classification data with monotonicity constraints. 2nd TAILOR Conference, 12-14 Sep 2022, Prague. (download poster)

2. R. Słowiński, M. Szeląg, Explainable decision aiding using monotonic „if…, then…” decision rules. 1st TAILOR Conference, 21-22 Sep 2021, on-line. (download poster)