Szymon Wilk
Szymon Wilk
Associate Professor, Institute of Computing Science, Poznan University of Technology
Verified email at
Cited by
Cited by
Learning from imbalanced data in presence of noisy and borderline examples
K Napierała, J Stefanowski, S Wilk
Rough Sets and Current Trends in Computing. 7th International Conference …, 2010
Selective pre-processing of imbalanced data for improving classification performance
J Stefanowski, S Wilk
Data Warehousing and Knowledge Discovery. 10th International Conference …, 2008
ROSE - software implementation of the rough set theory
B Predki, R Słowiński, J Stefanowski, R Susmaga, S Wilk
Rough Sets and Current Trends in Computing. First International Conference …, 1998
Rough set based data exploration using ROSE system
B Prędki, S Wilk
Foundations of Intelligent Systems. 11th International Symposium, ISMIS’99 …, 1999
Mobile clinical support system for pediatric emergencies
W Michalowski, S Rubin, R Slowinski, S Wilk
Decision Support Systems 36 (2), 161-176, 2003
Integrating selective pre-processing of imbalanced data with Ivotes ensemble
J Błaszczyński, M Deckert, J Stefanowski, S Wilk
Rough Sets and Current Trends in Computing. 7th International Conference …, 2010
Mitigation of adverse interactions in pairs of clinical practice guidelines using constraint logic programming
S Wilk, W Michalowski, M Michalowski, K Farion, MM Hing, S Mohapatra
Journal of Biomedical Informatics 46 (2), 341-353, 2013
Design and development of a mobile system for supporting emergency triage
W Michalowski, R Slowinski, S Wilk, KJ Farion, J Pike, S Rubin
Methods of Information in Medicine 44 (1), 14-24, 2005
A comparison of two approaches to data mining from imbalanced data
JW Grzymala-Busse, J Stefanowski, S Wilk
Journal of Intelligent Manufacturing 16, 565-573, 2005
Comprehensive mitigation framework for concurrent application of multiple clinical practice guidelines
S Wilk, M Michalowski, W Michalowski, D Rosu, M Carrier, ...
Journal of Biomedical Informatics 66, 52-71, 2017
On the joint-effect of class imbalance and overlap: a critical review
MS Santos, PH Abreu, N Japkowicz, A Fernández, C Soares, S Wilk, ...
Artificial Intelligence Review 55 (8), 6207-6275, 2022
Using PICO to align medical evidence with MDs decision making models
D O'Sullivan, S Wilk, W Michalowski, K Farion
MEDINFO 2013: Proceedings of the 14th World Congress on Medical and Health …, 2012
Clinical decision support system for point of care use: ontology driven design and software implementation
K Farion, W Michalowski, S Wilk, D O’Sullivan, S Rubin, D Weiss
Methods of Information in Medicine 48 (4), 381-390, 2009
Comparing predictions made by a prediction model, clinical score, and physicians: pediatric asthma exacerbations in the emergency department.
KJ Farion, S Wilk, W Michalowski, D O'Sullivan, J Sayyad-Shirabad
Applied Clinical Informatics 4 (3), 376-391, 2013
Implementing an integrative multi-agent clinical decision support system with open source software
JS Shirabad, S Wilk, W Michalowski, K Farion
Journal of Medical Systems 36 (1), 123-137, 2012
Evaluating business credit risk by means of approach‐integrating decision rules and case‐based learning
J Stefanowski, S Wilk
Intelligent Systems in Accounting, Finance and Management 10 (2), 97-114, 2001
Supporting triage of children with abdominal pain in the emergency room
S Wilk, R Słowiński, W Michałowski, S Greco
European Journal of Operational Research 160 (3), 696-709, 2005
A tree-based decision model to support prediction of the severity of asthma exacerbations in children
K Farion, W Michalowski, S Wilk, D O’Sullivan, S Matwin
Journal of Medical Systems 34 (4), 551-562, 2010
On educating about medical data management
R Haux, P Knaup, F Leiner
Methods of information in medicine 46 (01), 74-79, 2007
Improving rule based classifiers induced by MODLEM by selective pre-processing of imbalanced data
J Stefanowski, S Wilk
Proceddings of the RSKD Workshop at ECML/PKDD, Warsaw, 54-65, 2007
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