All relevant feature selection methods and applications WR Rudnicki, M Wrzesień, W Paja Feature Selection for Data and Pattern Recognition, 11-28, 2015 | 110 | 2015 |
A crowdsourcing approach to developing and assessing prediction algorithms for AML prognosis DP Noren, BL Long, R Norel, K Rrhissorrakrai, K Hess, CW Hu, ... PLoS computational biology 12 (6), e1004890, 2016 | 35 | 2016 |
Prediction of the apple scab using machine learning and simple weather stations M Wrzesień, W Treder, K Klamkowski, WR Rudnicki Computers and electronics in agriculture 161, 252-259, 2019 | 25 | 2019 |
Diagnosing skin melanoma: Current versus future directions ZS Hippe, S Bajcar, P Blajdo, JANP GRZYMAŁA-BUSSE, ... Task Quarterly 7 (2), 289-293, 2003 | 19 | 2003 |
Active enhancer positions can be accurately predicted from chromatin marks and collective sequence motif data A Podsiadło, M Wrzesień, W Paja, W Rudnicki, B Wilczyński BMC systems biology 7, 1-7, 2013 | 16 | 2013 |
Melanoma important features selection using random forest approach W Paja, M Wrzesień 2013 6th International conference on human system interactions (HSI), 415-418, 2013 | 13 | 2013 |
Application of all-relevant feature selection for the failure analysis of parameter-induced simulation crashes in climate models W Paja, M Wrzesien, R Niemiec, WR Rudnicki Geoscientific Model Development 9 (3), 1065-1072, 2016 | 11 | 2016 |
Automatic System for Classification of Melanocytic Skin Lesions Based on Images Recognition P Cudek, W Paja, M Wrzesień Man-Machine Interactions 2, 189-196, 2011 | 10 | 2011 |
New hybrid environment for knowledge discovery from vector-oriented database in business and management ZS Hippe, P Błajdo, M Wrzesień 5th International Conference on Business Information System BIS, 49-56, 2002 | 9 | 2002 |
Feature Selection for Data and Pattern Recognition WR Rudnicki, M Wrzesie, W Paja Studies in Computational Intelligence 584, 2015 | 7 | 2015 |
Classification and synthesis of medical images in the domain of melanocytic skin lesions T Mroczek, W Paja, L Piatek, M Wrzesie 2008 Conference on Human System Interactions, 705-709, 2008 | 7 | 2008 |
Classification of medical images in the domain of melanoid skin lesions ZS Hippe, J Grzymala-Busse, P Blajdo, M Knap, T Mroczek, W Paja, ... Computer Recognition Systems: Proceedings of the 4th International …, 2005 | 7 | 2005 |
A suite of machine learning programs for data mining: chemical applications P Blajdo, JW Grzymala-Busse, ZS Hippe, M Knap, T Marek, T Mroczek, ... Information Systems in Chemistry 2, 7-14, 2004 | 7 | 2004 |
Some problems of uncertainty of data after the transfer from multi-category to dichotomous problem space ZS Hippe, M Wrzesien Methods of Artificial Intelligence, 185-189, 2002 | 7 | 2002 |
Experiments with hybridization and optimization of the rules knowledge base for classification of MMPI profiles J Gomuła, W Paja, K Pancerz, T Mroczek, M Wrzesień Advances in Data Mining. Applications and Theoretical Aspects, 121-133, 2011 | 6 | 2011 |
Rough Set and Knowledge Technology: 5th International Conference, RSKT 2010, Beijing, China, October 15-17, 2010, Proceedings J Yu, S Greco, P Lingras, G Wang, A Skowron Springer-Verlag New York Inc, 2010 | 5 | 2010 |
Time Series Classification Using Images W Homenda, A Jastrzebska, M Wrzesien | 3 | 2022 |
Spectral image recognition using artificial dynamic neural network in information resonance mode I Peleshchak, R Peleshchak, V Lytvyn, J Kopka, M Wrzesien, J Korniak, ... Artificial Intelligence and Industrial Applications: Smart Operation …, 2021 | 3 | 2021 |
Classification of Voice Signals through Mining Unique Episodes in Temporal Information Systems: A Rough Set Approach. K Pancerz, W Paja, M Wrzesien, J Warchol CS&P, 280-291, 2012 | 3 | 2012 |
Klasyfikacja wielokategoryjnych przypadków przy użyciu klasyfikatora binarnego-opracowanie metodyki oraz narzędzia informatycznego JW Grzymała-Busse, ZS Hippe, M Wrzesień Prace Naukowe Akademii Ekonomicznej we Wrocławiu, 121-127, 2003 | 3 | 2003 |