Selected Publications

  1. S. Bylka, A. Krupa, (2018). A note on the Optimal Periodic Pattern (OPP) algorithm for the system in which buyers periodically orders from a vendor. Computers and Industrial Engineering, vol. 115, 37–40.
  2. Ł. Dębowski, (2018). Maximal Repetition and Zero Entropy Rate. IEEE Transactions on Information Theory, vol. 64(4), pp. 2212–2219.
  3. Ł. Dębowski, (2018). Is Natural Language a Perigraphic Process? The Theorem about Facts and Words Revisited. Entropy, vol. 20(2), pp. 85.
  4. M. Kubkowski, J. Mielniczuk, (2018). Projections of a general binary model on a logistic regression. Linear Algebra and its Applications, vol. 536, pp. 152–173.
  5. J. Mielniczuk, P. Teisseyre, (2018). A Deeper Look at Two Concepts of Measuring Gene-Gene Interactions: Logistic Regression and Interaction Information Revisited. Genetic Epidemiology, vol. 42, pp. 187–200.
  6. P. Teisseyre, (2017). CCnet: joint multi-label classification and feature selection using classifier chains and elastic net regularization. Neurocomputing, vol. 235, pp. 98–111.
  7. Ł. Zaniewicz, S. Jaroszewicz, (2017). Support vector machines for uplift modeling. Knowledge and Information Systems, vol. 53(1), pp. 269–296.
  8. S. Jaroszewicz, (2016). Uplift Modeling. In: C. Sammut, G. I. Webb. (eds.) Encyclopedia of Machine Learning and Data Mining. Boston, MA: Springer (pp. 1–6).
  9. A. Pesaranghader, S. Matwin, M. Sokolova, R. G. Beiko, (2016). simDEF: definition-based semantic similarity measure of gene ontology terms for functional similarity analysis of genes. Bioinformatics, vol. 32(9), pp. 1380–1387.
  10. E. N. de Souza, K. Boerder, S. Matwin, B. Worm, (2016). Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning. PLoS ONE, vol. 11(7), pp. e0158248.
  11. R. Takahira, K. Tanaka-Ishii, Ł. Dębowski, (2016). Entropy Rate Estimates for Natural Language–A New Extrapolation of Compressed Large- Scale Corpora. Entropy, vol. 18(10), pp. 364.
  12. P. Teisseyre, (2016). Feature ranking for multi-label classification using Markov Networks. Neurocomputing, vol. 205, pp. 439–454.
  13. S. Bylka, P. Górny, (2015). The consignment stock of inventories in coordinated model with generalized policy. Computers and Industrial Engineering, vol. 82, pp. 54–64.
  14. Pokarowski, P., J. Mielniczuk, (2015). Combined l_1 and greedy l_0 least squares for linear model selection. Journal of Machine Learning Research, vol. 16, pp. 961–992.
  15. M. Korzeń, S. Jaroszewicz, (2014). PaCAL: A Python Package for Arithmetic Computations with Random Variables. Journal of Statistical Software, Articles, vol. 57(10), pp. 1–34.