Segui
Marcin Szeląg
Marcin Szeląg
Institute of Computing Science, Poznan University of Technology
Email verificata su cs.put.poznan.pl - Home page
Titolo
Citata da
Citata da
Anno
Sequential covering rule induction algorithm for variable consistency rough set approaches
J Błaszczyński, R Słowiński, M Szeląg
Information Sciences 181 (5), 987-1002, 2011
2242011
Monotonic variable consistency rough set approaches
J Błaszczyński, S Greco, R Słowiński, M Szeląg
International Journal of Approximate Reasoning 50 (7), 979-999, 2009
1542009
jMAF - Dominance-based Rough Set Data Analysis Framework
J Błaszczyński, S Greco, B Matarazzo, R Słowiński, M Szeląg
Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam 1…, 2013
652013
Variable consistency dominance-based rough set approach to preference learning in multicriteria ranking
M Szeląg, S Greco, R Słowiński
Information Sciences 277, 525-552, 2014
432014
On variable consistency dominance-based rough set approaches
J Błaszczyński, S Greco, R Słowiński, M Szeląg
International Conference on Rough Sets and Current Trends in Computing, 191-202, 2006
382006
Monotonic variable consistency rough set approaches
J Błaszczyński, S Greco, R Słowiński, M Szeląg
Rough Sets and Knowledge Technology 2007, 126-133, 2007
282007
Auto loan fraud detection using dominance-based rough set approach versus machine learning methods
J Błaszczyński, AT de Almeida Filho, A Matuszyk, M Szeląg, R Słowiński
Expert Systems with Applications 163, 113740, 2021
252021
Learning of rule ensembles for multiple attribute ranking problems
K Dembczyński, W Kotłowski, R Słowiński, M Szeląg
Preference Learning, 217-247, 2010
252010
Probabilistic rough set approaches to ordinal classification with monotonicity constraints
J Błaszczyński, R Słowiński, M Szeląg
International Conference on Information Processing and Management of…, 2010
142010
Induction of ordinal classification rules from incomplete data
J Błaszczyński, R Słowiński, M Szeląg
International Conference on Rough Sets and Current Trends in Computing, 56-65, 2012
132012
A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints
W Deng, G Wang, F Hu, J Błaszczyński, R Słowiński, M Szeląg
Fundamenta Informaticae 126, 377-395, 2013
112013
Ensembles of decision rules
J Błaszczyński, K Dembczyński, W Kotłowski, R Słowiński, M Szeląg
Foundations of Computing and Decision Sciences 31 (3-4), 221-232, 2006
11*2006
Rule-Based Approach to Multicriteria Ranking
M Szeląg, S Greco, R Słowiński
Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and…, 2013
92013
VC-DomLEM: rule induction algorithm for variable consistency rough set approaches
J Błaszczyński, R Słowiński, M Szeląg
Technical Report RA-07/09, Poznań University of Technology, 2009
72009
Dominance-Based Rough Set Approach to Multiple Criteria Ranking with Sorting-Specific Preference Information
M Kadzinski, R Słowinski, M Szelag
Challenges in Computational Statistics and Data Mining 605, 155, 2015
62015
Ensembles of decision rules for solving binary classification problems in the presence of missing values
J Błaszczyński, K Dembczyński, W Kotłowski, R Słowiński, M Szeląg
International Conference on Rough Sets and Current Trends in Computing, 224-234, 2006
52006
Rough Set Analysis of Classification Data with Missing Values
M Szeląg, J Błaszczyński, R Słowiński
International Joint Conference on Rough Sets, 552-565, 2017
42017
Learnability in rough set approaches
J Błaszczyński, R Słowiński, M Szelag
International Conference on Rough Sets and Current Trends in Computing, 402-411, 2010
42010
On different ways of handling inconsistencies in ordinal classification with monotonicity constraints
J Błaszczyński, W Deng, F Hu, R Słowiński, M Szeląg, G Wang
International Conference on Information Processing and Management of…, 2012
32012
Case-based reasoning using dominance-based decision rules
M Szeląg, S Greco, J Błaszczyński, R Słowiński
International Conference on Rough Sets and Knowledge Technology, 404-413, 2011
32011
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–20