Mgr inż. Rafał Niemiec

PBN, ResearchGate

2020

2019

• P. G. Clark, J. W. Grzymała-Busse, T. Mroczek, R. Niemiec: Rule Set Complexity in Mining Incomplete Data Using Global and Saturated Probabilistic Approximations (ICIST 2019)
• J. Starzyk, R. Niemiec, A. Horzyk: Feature Significance in Wide Neural Networks (SCSI 2019)

2018

• P. G. Clark, C. Gao, J. W. Grzymała-Busse, T. Mroczek, R. Niemiec: Complexity of Rule Sets Induced by Characteristic Sets and Generalized Maximal Consistent Blocks (ICAISC 2018)
• P. G. Clark, C. Gao, J. W. Grzymała-Busse, T. Mroczek, R. Niemiec: A comparison of Concept and Global Probabilistic Approximations Based on Mining Incomplete Data (ICIST 2018)
• P. G. Clark, C. Gao, J. W. Grzymała-Busse, T. Mroczek, R. Niemiec: Complexity of Rule Sets in Mining Incomplete Data Using Characteristic Sets and Generalized Maximal Consistent Blocks (HAIS 2018)
• Z. S. Hippe, R. Niemiec: New Challenges for Information Technologies in Medicine: Big Data Analysis? (ITIB 2018)

2017

• D. Chrzanowska, R. Niemiec, Z. S. Hippe: Research on Melanocitic Skin Lesion Infobase Enlargement – New Facts and Concepts, TASK QUARTERLY vol. 21, No 4, 2017, pp. 391-393

2016

• D. P. Noren et al.: A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis. PLoS Computational Biology 12(6)2016: e1004890. doi:10.1371/journal.pcbi.1004890
• W. Paja, M. Wrzesień, R. Niemiec, and W. R. Rudnicki: Application of all relevant feature selection for failure analysis of parameter-induced simulation crashes in climate models, Geoscientific Model Development, 9, 1065–1072, 2016