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Wiesław Paja
Wiesław Paja
Assistant Professor of Computer Science, University of Rzeszów
Verified email at ur.edu.pl
Title
Cited by
Cited by
Year
Feature selection for data and pattern recognition: An introduction
U Stańczyk, LC Jain
Feature Selection for Data and Pattern Recognition, 1-7, 2015
1382015
All relevant feature selection methods and applications
WR Rudnicki, M Wrzesień, W Paja
Feature Selection for Data and Pattern Recognition, 11-28, 2015
972015
Advances in Data Mining
P Perner, R Goebel
New York [etc.], 2011
47*2011
Deep architectures for long-term stock price prediction with a heuristic-based strategy for trading simulations
C Stoean, W Paja, R Stoean, A Sandita
PloS one 14 (10), e0223593, 2019
412019
Intelligent Information Processing and Web Mining: Proceedings of the International IIS: IIPWM ́03 Conference held in Zakopane, Poland, June 2-5, 2003
MA Klopotek, ST Wierzchon, K Trojanowski
Springer Science & Business Media, 2013
412013
Characterization of Covid-19 infected pregnant women sera using laboratory indexes, vibrational spectroscopy, and machine learning classifications
Z Guleken, P Jakubczyk, P Wiesław, P Krzysztof, H Bulut, E Öten, ...
Talanta 237, 122916, 2022
312022
Advances in feature selection for data and pattern recognition
U Stańczyk, B Zielosko, LC Jain
Springer International Publishing, 2018
262018
Development of novel spectroscopic and machine learning methods for the measurement of periodic changes in COVID-19 antibody level
JD Zozan Guleken, YeşimTuyji Tok, Paweł Jakubczyk, Wiesław Paja, Krzysztof ...
Measurement 196 (111258), 2022
192022
Diagnosing skin melanoma: Current versus future directions
ZS Hippe, S Bajcar, P Blajdo, JP Grzymala-Busse, JW Grzymala-Busse, ...
TASK Quarterly 7 (2), 289-293, 2003
192003
Generational feature elimination and some other ranking feature selection methods
W Paja, K Pancerz, P Grochowalski
Advances in feature selection for data and pattern recognition, 97-112, 2018
162018
Research on Pre-processing and Post-processing of Data in the Process of Creation Quasi-optimal Decision Trees
H Zdzislaws, MM Knap, W Paja
Intelligence Methods 11, 13-15, 2002
162002
Feature selection methods based on decision rule and tree models
W Paja
Intelligent Decision Technologies 2016: Proceedings of the 8th KES …, 2016
142016
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
142013
Man-Machine Interactions 2
T Czachórski, S Kozielski, U Stanczyk
Springer Science & Business Media, 2011
142011
Infoscience technology: the impact of internet accessible melanoid data on health issues
GB JW, H ZS, M Knap, W Paja
Data Science Journal 4, 77-81, 2005
132005
Feasibility Studies of Quality of Knowledge Mined from Multiple Secondary Sources: I. Implementation of generic operations
W Paja, ZS Hippe
Intelligent Information Processing and Web Mining: Proceedings of the …, 2005
122005
Correlation between endometriomas volume and Raman spectra. Attempting to use Raman spectroscopy in the diagnosis of endometrioma
Z Guleken, H Bulut, B Bulut, W Paja, M Parlinska-Wojtan, J Depciuch
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 274, 121119, 2022
112022
Identification of polycystic ovary syndrome from blood serum using hormone levels via Raman spectroscopy and multivariate analysis
Z Guleken, H Bulut, B Bulut, W Paja, B Orzechowska, M Parlinska-Wojtan, ...
Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 273, 121029, 2022
112022
Melanoma important features selection using random forest approach
W Paja, M Wrzesień
2013 6th International conference on human system interactions (HSI), 415-418, 2013
112013
Application of all-relevant feature selection for the failure analysis of parameter-induced simulation crashes in climate models
WRR Wiesław Paja, Mariusz Wrzesień, Rafał Niemiec
Geoscientific Model Development 9 (3), 1065-1072, 2016
102016
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Articles 1–20