PUBLICATIONS (since 1992):

Books co-authored:

• J. Koronacki and J. Cwik, Statystyczne systemy uczace sie, wydanie drugie, Exit, Warsaw, 2008 (an updated edition of a textbook in Polish on statistical learning, originally published in 2005), 327 pp. (for Preface click here).
• J.R. Thompson, J. Koronacki, J. Nieckula, Techniki zarzadzania jakoscia: Od Shewharta do metody ,,Six Sigma'' (a monograph on Quality Management Techniques), Exit, Warsaw, 2005, 408 pp.
• J. R. Thompson and J. Koronacki, Statistical Process Control: The Deming Paradigm and Beyond, Second Edition, Chapman and Hall/CRC, New York - London, 2001, 456 pp. (for Preface click here).
• J. Koronacki and J. Mielniczuk Statystyka dla studentow kierunkow technicznych i przyrodniczych (spis tresci oraz przedmowa; a textbook in Polish on Statistics for Engineering and the Sciences), WNT, Warsaw, 2009, 492 pp. (earlier editions: 2001, 2004, and 2006)
• J. R. Thompson and J. Koronacki, Statistical Process Control for Quality Improvement, Chapman and Hall, New York - London 1993, 391 pp. A revised translation into Polish appeared as Statystyczne sterowanie procesem: Metoda Deminga etapowej optymalizacji jakosci, Akademicka Oficyna Wydawnicza PLJ, Warszawa 1994 (przedmowa).

  Books co-edited:

• M. A. Kłopotek, J. Koronacki, M. Marciniak, A. Mykowiecka, S. T. Wierzchoń, LNCS 7912: Language Processing and Intelligent Information Systems, Springer, 2013.
• J. Koronacki, Z.W. Ras, S.T. Wierzchon, J. Kacprzyk [eds.], Advances in Machine Learning, vol. II, Springer, 2010, 532 pp.
• J. Koronacki, Z.W. Ras, S.T. Wierzchon, J. Kacprzyk [eds.], Advances in Machine Learning, vol. I, Springer, 2010, 532 pp.
• J.N. Kok, J. Koronacki, R. Lopez de Mantaras, S. Matwin, D. Mladenic, A. Skowron [eds.], Machine Learning: ECML 2007, Lecture Notes in Artificial Intelligence 4701, Springer, 2007, 809 pp.
• J.N. Kok, J. Koronacki, R. Lopez de Mantaras, S. Matwin, D. Mladenic, A. Skowron [eds.], Knowledge Discovery in Databases: PKDD 2007, Lecture Notes in Artificial Intelligence 4702, Springer, 2007, 640 pp.
• O. Hryniewicz, J. Kacprzyk, J. Koronacki, S. Wierzchoń [eds.], Issues in Intelligent Systems: Paradigms, Exit, Warsaw, 2005, 365 pp.

  Papers (including book chapters):

• Sztuczna inteligencja w odczarowanyhm świecie, Filozofia i Nauka, t. 8. cz. 1, 2020 (proszę o wybaczenie: nieliczne krótkie fragmenty tego artykułu są wzięte z tekstu "Posthumanizm a technologia").
• Posthumanizm a technologia, w: M. Szulakiewicz [red.], W poszukiwaniu nowego człowieka – Colloquia Torunensia XXIV, Towarzystwo Naukowe w Toruniu, Toruń 2020.
• Draminski, M. and J. Koronacki, rmcfs: An R Package for Monte Carlo Feature Selection and Interdependency Discovery, Journal of Statistical Software vol. 85, issue 12, July 2018, doi: 10.18637/jss.v085.i12.
• Dabrowski, M.J., Draminski, M., Diamanti, K., Stepniak, K., Mozolewska, M.A., Teisseyre, P., Koronacki, J., Komorowski, J., Kaminska, B., and Wojtas, B., Unveiling new interdependencies between significant DNA methylation sites, gene expression profiles and glioma patients survival, Scientific Reports 8:4390 (2018), DOI:10.1038/s41598-018-22829-1
• Koronacki, J. and M. Draminski, Empirical Model Building Revisited, in: John Dobleman [ed.], Models and Reality: Festschrift for James Robert Thompson, Chicago, IL: T&NO Company, 2017.
• Draminski, M., M.J. Dabrowski, K. Diamanti, J. Koronacki, J. Komorowski, Discovering networks of interdependent features in high-dimensional problems, in: N. Japkowicz, J. Stefanowskki [eds.], Big Data Anaysis: New Algorithms for a New Society, Springer, 2016, 285-304.
• Nowakowska, E., J. Koronacki, S. Lipovetsky, Dimensionality reduction for data of unknown cluster structure, Information Sciences 330 (2016), 74-87.
• Nowakowska, E., J. Koronacki, S. Lipovetsky, Clusterability assessment for Gaussian mixture models, Applied Mathematics and Computation 265 (2015), 591-601.
• Kruczyk, M., N. Baltzer, J. Mieczkowski, J. Koronacki, J. Komorowski, Random Reducts: A novel Monte Carlo - Rough-Sets based method for feature selection in large datasets, Fundamenta Informaticae 127 (2013), 273-288.
• Koronacki, J., Data Analysis and Inference for High-Dimensional Data: Small n Large p Problems, in: Systemy wspomagania decyzji: Monografia jubileuszowa dedykowana prof. dr hab. inż Alicji Wakulicz-Deji, Wyd. Uniwersytetu Slaskiego, 2013, 57-69.
• M. Dramiński, M. Kierczak, J. Koronacki, J. Komorowski, Monte Carlo Feature Selection and Interdependency Discovery: A Brief Account, in: P. Grzegorzewski, T. Żerzuchowski [eds.], Issues in Industrial Mathematics, Wyd. Politechniki Warszawskiej, 2013, 77-86.
• Koronacki, J., Metody jądrowe w maszynowym uczeniu się, in: A. Wakulicz-Deja [ed.], Systemy wspomagania decyzji 2013, Wyd. Uniwersytetu Slaskiego, 2013, 29-44.
• Draminski, M., M. Kierczak, A. Nowak-Brzezinska, J. Koronacki, J. Komorowski, The Monte Carlo Feature Selection and Interdependency discvovery Is Practically Unbiased, Control & Cybernetics vol 40 (2011), 199-211.
• Kierczak, M., M. Draminski, J. Koronacki, J. Komorowski, Computational Analysis of Molecular Interaction Networks Underlying Change of HIV-1 Resistance to Selected Reverse Transcriptase Inhibitors, Bioinformatics and Biology Insights 2010:4 137-146 (http://www.la-press.com/computational-analysis-of-molecular-interaction-networks-underlying-ch-article-a2395)
• Draminski, M., Kierczak, M., Koronacki, J., Komorowski, J., Monte Carlo feature selection and interdependency discovery in supervised classification, in: J. Koronacki, Z.W. Ras, S.T. Wierzchon, J. Kacprzyk [eds.], Advances in Machine Learning, vol. II, Springer, 2010, 371-385.
• Kierczak, M., K. Ginalski, M. Draminski, J. Koronacki, W. Rudnicki, J. Komorowski, A Rough Set-Based Model of HIV-1 Reverse Transcriptase Resistome, Bioinformatics and Biology Insights 2009:3 109-127 (http://www.la-press.com/a-rough-set-based-model-of-hiv-1-reverse-transcriptase-resistome-a1685)
• Draminski, M., A. Rada-Iglesias, S. Enroth, C. Wadelius, J.Koronacki, J. Komorowski, Monte Carlo feature selection for supervised classification, Bioinformatics vol. 24 no. 1 (2008), 110-117 (doi:10.1093/bioinformatics/btm486).
• Koronacki, J., Statystyczne metody klasyfikacji - ujecia nieklasyczne, in: Systemy Wspomagania Decyzji 2008, Wyd. Uniwersytetu Slaskiego, Katowice 2008, 21-38.
• Koronacki, J., Statystyczne systemy uczace sie, in: P. Kulczycki, O. Hryniewicz, J. Kacprzyk [eds.], Techniki informacyjne w badaniach systemowych, WNT, Warsaw, 2007, 109-135.
• Rudnicki, W., M. Kierczak, J. Koronacki, J. Komorowski, A Statistical Method for Determining Importance of Variables in an Information System, in: S. Greco et al. [eds.], Rough Sets and Current Trends in Computing 2006, Lecture Notes in Artificial Intelligence 4259, Springer 2006, 557-566.
• Koronacki J., Lasota S., Niemiro W.: Positron Emission Tomography by Markov Chain Monte Carlo with Auxiliary Variables, Pattern Recognition vol. 38 (2005), 241-250.
• Draminski M, J. Koronacki, J. Komorowski, A Study on Monte Carlo gene screening, in M.A. Klopotek, S. Wierzchon, K. Trojanowski [Eds.], Intelligent Information Processing and Web Mining, Proceedings of the International IIS: IIPWM'05 Conference, Springer, 2005, 349-356.
• Draminski M, J. Koronacki, J. Komorowski, Monte Carlo gene screening - a study in progress, in: Systemy Wspomagania Decyzji 2005, Wyd. Uniwersytetu Slaskiego, Katowice 2005, 47-51.
• Draminski M, J. Koronacki, J. Cwik, J. Komorowski, Monte Carlo gene screening for supervised classification, in B. De Baets, R. De Caluwe, G. De Tr, J. Fodor, J. Kacprzyk, S. Zadrozny [Eds.], Current Issues in Data and Knowledge Engineering, Exit, 2004, 185-194.
• Dabrowski, A., J. Koronacki, Methodologies for Statistical Modeling: A Selective Overview, in: K. Haman, B. Jakubiak and J. Zabczyk [eds.], Probabilistic Problems in Atmospheric and Water Sciences, ICM Publishing, Warsaw, 2003, 44-60.
• Seredynski, F., J. Koronacki, C.Z. Janikow, Distributed multiprocessor scheduling with decomposed optimization criterion, Future Generation Computer Systems vol. 17 (2001), 387-396.
• Cwik, J., J. Koronacki and J. Mielniczuk, Testing for a difference between conditional variance functions of nonlinear time series, Control & Cybernetics vol. 29 (2000), 33-50 (for abstract and introduction click here).
• El-Mouadib, F.A., J. Koronacki and J.M. Zytkow, Taxonomy formation by approximate equivalence relations, revisited, in: J.M Zytkow and J. Rauch [eds.], Principles of Data Mining and Knowledge Discovery, Lecture Notes in Artificial Intelligence 1704, Springer 1999, 71-79 (for abstract and introduction click here).
• Cwik, J., J. Koronacki, and J.M. Zytkow, On discovering functional relationships when observations are noisy: 2D case, in: Z.W. Ras and A. Skowron [eds.], Foundations of Itelligent Systems, Lecture Notes in Artificial Intelligence 1609 (A Subseries of Lecture Notes in Computer Science), Springer 1999, 547-555 (for abstract and introduction click here).
• J. Koronacki, F.A. El-Mouadib, On taxonomy formation by approximate equivalence relations, in: M. Klopotek, M. Michalewicz [eds.], Proceedings of the 8th Workshop Intelligent Information Systems, IPI PAN 1999, 37-46.
• J. Cwik and J. Koronacki, A heuristic method of model choice for nonlinear regression, in: L. Polkowski and A. Skowron, Rough Sets and Current Trends in Computing, Lecture Notes in Artificial Intelligence 1424 (A Subseries of Lecture Notes in Computer Science), Springer, 1998, 68-74 (for abstract and introduction click here).
• J. Cwik and J. Koronacki, A combined adaptive-mixtures/plug-in estimator of multivariate probability densities, Comp. Statist. & Data Anal., vol. 26 (1997), 199-218 (for abstract and introduction click here).
• J. Cwik and J. Koronacki, Multivariate density estimation: A comparative study, Neural Comput. & Applic., vol. 6 (1997), 173-185 (for abstract and introduction click here).
• J. Koronacki and J.R.Thompson, Multivariate statistical process control, Problemy Jakosci, 1/1997. (in Polish)
• J. Cwik and J. Koronacki, Probability density estimation using a Gaussian clustering algorithm, Neural Comput. & Applic., vol. 4 (1996), 149-160 (for abstract and introduction click here).
• J. Cwik and J. Koronacki, A combined Gaussian clustering/plug-in estimator of a probability density, in: Proceedings of the 5th Workshop on Intelligent Information Systems, Deblin, Poland, 1996.
• J. Koronacki and J.R.Thompson, Statistical process control or step-wise imp rovement of quality of production and services, Problemy Jakosci, 1/1996. (in Polish)
• J. Koronacki and U. Luboinska, Estimating the density of a functional of several random variables, Comp. Statist. & Data Anal., vol. 18 (1994), 317-330 (for abstract and introduction click here)
• J. Cwik and J. Koronacki, Multivariate Density Estimation: A Comparative St udy - Part I, in: Proceedings of the First National Conference on Neural Net works and Their Applications, vol. 1, Politechnika Częstochowska, 1994. (in Polish)
• J. Koronacki, Statistical aspects of neural networks, in: Proceedings of National Conf. on Practical Aspects of Artificial Intelligence, IPI PAN, Warsaw, 1993, 64-79. (in Polish)
• W. Feluch and J. Koronacki, A Note on Modified Cross-Validation in Density Estimation, Comp. Statist. Data Anal., vol. 13, 1992, 143-151.