Publications

Books:

  1. Gagolewski M., Bartoszuk M., Cena A., Przetwarzanie i analiza danych w języku Python (Data Processing and Analysis in Python), Wydawnictwo Naukowe PWN, 2016, 369 pp. isbn:978-83-01-18940-2

Articles in Journals:

  1. 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

Papers in Edited Volumes and Proceedings:

  1. Bartoszuk M., Gagolewski M., Binary aggregation functions in software plagiarism detection, In: Proc. FUZZ-IEEE’17, IEEE, 2017. (accepted for publication) doi:10.1109/FUZZ-IEEE.2017.8015582
  2. Gagolewski M., Cena A., Bartoszuk M., Hierarchical clustering via penalty-based aggregation and the Genie approach, In: Torra V. et al. (Eds.), Modeling Decisions for Artificial Intelligence (Lecture Notes in Artificial Intelligence 9880), Springer, 2016, pp. 191-202. doi:10.1007/978-3-319-45656-0_16
  3. Bartoszuk M., Beliakov G., Gagolewski M., James S., Fitting aggregation functions to data: Part I – Linearization and regularization, In: Carvalho J.P. et al. (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part II (Communications in Computer and Information Science 611),
    Springer, 2016, pp. 767-779. doi:10.1007/978-3-319-40581-0_62
  4. Bartoszuk M., Beliakov G., Gagolewski M., James S., Fitting aggregation functions to data: Part II – Idempotentization, In: Carvalho J.P. et al. (Eds.),
    Information Processing and Management of Uncertainty in Knowledge-Based Systems,
    Part II (Communications in Computer and Information Science 611),
    Springer, 2016, pp. 780-789. doi:10.1007/978-3-319-40581-0_63
  5. Bartoszuk M., Gagolewski M., Detecting similarity of R functions via a
    fusion of multiple heuristic methods, In: Alonso J.M., Bustince H., Reformat
    M. (Eds.), Proc. IFSA/EUSFLAT 2015, Atlantis Press, 2015, pp. 419-426,
  6. Bartoszuk M., Solving systems of polynomial equations: a novel end
    condition and root computation method
    , In: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 2, pages 543–552 (2014), doi:10.15439/2014F183,
  7. Bartoszuk M., Gagolewski M., A fuzzy R code similarity detection algorithm, In: Laurent A. et al. (Eds.), Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part III (CCIS 444), Springer-Verlag, Heidelberg, 2014, pp. 21-30.

Preprints and Research Reports:

  1. Bartoszuk M., Gagolewski M., Tuning up R code similarity detection algorithm, SRI PAS Research Report RB/10/2015.

Selected Talks:

  1. Detecting similarity of R functions via a fusion of multiple heuristic methods, The 16th World Congress of the International Fuzzy Systems Association and the 9th Conference of the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT), Gijón, Spain, June 30th – July 3rd, 2015
  2. Solving systems of polynomial equations: a novel end
    condition and root computation method
    , Federated Conference on Computer Science and Information Systems (FedCSIS), Warsaw, Poland, September 7 – 10, 2014
  3. A fuzzy R code similarity detection algorithm, 15th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), Montpellier, France, July 15 – 19, 2014

Miscellaneous:

  1. http://www.r-bloggers.com/similar/, Blog post about SimilaR portal, part of my Ph.D. thesis.