Wrzesien Mariusz
Wrzesien Mariusz
Unknown affiliation
Verified email at wsiz.rzeszow.pl
Cited by
Cited by
All relevant feature selection methods and applications
WR Rudnicki, M Wrzesień, W Paja
Feature Selection for Data and Pattern Recognition, 11-28, 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
Diagnosing skin melanoma: Current versus future directions
ZS Hippe, S Bajcar, P Blajdo, JP Grzymała-Busse, JW Grzymała-Busse, ...
TASK Quarterly: scientific bulletin of Academic Computer Centre in Gdansk 7 …, 2003
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
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 (6), 1-7, 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
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
Melanoma important features selection using random forest approach
W Paja, M Wrzesień
2013 6th International Conference on Human System Interactions (HSI), 415-418, 2013
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
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
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, 0
Feature Selection for Data and Pattern Recognition
WR Rudnicki, M Wrzesie, W Paja
Studies in Computational Intelligence 584, 2015
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
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, 519-526, 2005
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
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
Baza zmian melanocytowych skóry: stan aktualny oraz przyszłe kierunki rozwiązań W: A
ZS Hippe, S Bajcar, P Błajdo, JW Grzymała-Busse, M Knap, W Paja, ...
INFOBAZY 2, 51-56, 0
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
Image Recognition System for Diagnosis Support of Melanoma Skin Lesion
P Cudek, W Paja, M Wrzesień
Security and Intelligent Information Systems, 217-225, 2012
Medical datasets analysis: a constructive induction approach
W Paja, M Wrzesień
Advances in Data Mining. Applications and Theoretical Aspects, 442-449, 2010
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