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, pp. 369, ISBN: 978-83-01-18940-2.

Articles in Journals

  1. Siudem G., Żogała-Siudem B., Cena A., Gagolewski M., Three dimensions of scientific impact, Proceedings of the National Academy of Sciences of the United States of America (PNAS) 117(25), 2020, pp. 13896-13900. doi:10.1073/pnas.2001064117
  2. Cena A., Gagolewski M., Genie+OWA: Robustifying Hierarchical Clustering with OWA-based Linkages, Information Sciences, 2020, in press. doi:10.1016/j.ins.2020.02.025
  3. Markiewicz J., Pilarska M., Łapiński S., Kaliszewska A., Bieńkowski R., Cena A., Quality assessment of the use of a medium format camera in the investigation of wall paintings: An image-based approach, Measurement 132, 2019, pp. 224-237.
  4. Gagolewski M., Bartoszuk M., Cena A., Genie: A new, fast, and outlier-resistant hierarchical clustering algorithm, Information Sciences 363, 2016, pp. 8-23.
  5. 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.
  6. Cena A., Gagolewski M., Mesiar R., Problems and challenges of information resources producers' clustering, Journal of Informetrics 9(2), 2015, pp. 273–284.
  7. Cena A., Gagolewski M., OM3: Ordered maxitive, minitive, and modular aggregation operators - axiomatic and probabilistic properties in an arity-monotonic setting, Fuzzy Sets and Systems 264, 2015, pp. 138-159.

Papers in Edited Volumes and Proceedings

  1. Cena A., Gagolewski M., OWA-based linkage and the Genie correction for hierarchical clustering, In: Proc. FUZZ-IEEE'17, IEEE, 2017
  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.
  3. Cena A., Gagolewski M., Fuzzy K-minpen clustering and K-nearest-minpen classification procedures incorporating generic distance-based penalty minimizers, 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. 445-456.
  4. Cena A., Gagolewski M., Clustering and aggregation of informetric data sets, In: Computational Methods in Data Analysis (Proc. ITRIA'15 vol. 1), IPI PAN, Warszawa, 2015, pp. 5–26.
  5. Cena A., Gagolewski M., Aggregation and soft clustering of informetric data, In: Baczyński M., De Baets B., Mesiar R. (Eds.), Proc. 8th International Summer School on Aggregation Operators (AGOP 2015), University of Silesia, ISBN:978-83-8012-519-3, 2015, pp. 79-84.
  6. Cena A., Gagolewski M., A K-means-like algorithm for informetric data clustering, In: Alonso J.M., Bustince H., Reformat M. (Eds.), Proc. IFSA/EUSFLAT 2015, Atlantic Press, 2015, pp. 536-543.
  7. Cena A., Gagolewski M., OM3: Ordered Maxitive, Minitive, and Modular Aggregation Operators - Part II: A simulation study, In: Bustince H. et al (Eds.), Aggregation Functions in Theory and in Practise (AISC 228), Springer-Verlag, Heidelberg, 2013, pp. 105-115.
  8. Cena A., Gagolewski M., OM3: ordered maxitive, minitive, and modular aggregation operators - Part I: Axiomatic analysis under arity-dependence, In: Bustince H. et al (Eds.), Aggregation Functions in Theory and in Practise (AISC 228), Springer-Verlag, Heidelberg, 2013, pp. 93-103.