Jerzy Blaszczynski

发表

Comparative analysis of targeted metabolomics: Dominance-based rough set approach versus orthogonal partial least square-discriminant analysis

Jean-Charles Billaut, Roman Slowinski, C. Moreau, 2015, J. Biomed. Informatics.

Empirical Risk Minimization for Variable Consistency Dominance-Based Rough Set Approach

Masahiro Inuiguchi, Yoshifumi Kusunoki, Roman Slowinski, 2015, RSFDGrC.

Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values

Wojciech Kotlowski, Roman Slowinski, Krzysztof Dembczynski, 2006, RSCTC.

Application of Rough Set Theory to Prediction of Antimicrobial Activity of Bis-quaternary Ammonium Chlorides

Roman Slowinski, Jerzy Blaszczynski, Lukasz Palkowski, 2012, Rough Sets and Knowledge Technology.

Empirical Risk Minimization for Variable Precision Dominance-Based Rough Set Approach

Masahiro Inuiguchi, Yoshifumi Kusunoki, Roman Slowinski, 2013, RSKT.

Extending Bagging for Imbalanced Data

Jerzy Stefanowski, Jerzy Blaszczynski, Lukasz Idkowiak, 2013, CORES.

A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints

Guoyin Wang, Roman Slowinski, Feng Hu, 2013, Fundam. Informaticae.

Incremental Induction of Decision Rules from Dominance-based Rough Approximations

Roman Slowinski, Jerzy Blaszczynski, R. Słowiński, 2003, RSKD.

Auto loan fraud detection using dominance-based rough set approach versus machine learning methods

Roman Slowinski, Adiel Almeida Filho, Jerzy Blaszczynski, 2021, Expert Syst. Appl..

Rule-Based Estimation of Attribute Relevance

Roman Slowinski, Robert Susmaga, Jerzy Blaszczynski, 2011, RSKT.

Ordinal Classification with Monotonicity Constraints by Variable Consistency Bagging

Roman Slowinski, Jerzy Stefanowski, Jerzy Blaszczynski, 2010, RSCTC.

Induction of Ordinal Classification Rules from Incomplete Data

Roman Slowinski, Jerzy Blaszczynski, Marcin Szelag, 2012, RSCTC.

Rough Set Analysis of Classification Data with Missing Values

Roman Slowinski, Jerzy Blaszczynski, Marcin Szelag, 2017, IJCRS.

Case-Based Reasoning Using Dominance-Based Decision Rules

Salvatore Greco, Roman Slowinski, Jerzy Blaszczynski, 2011, RSKT.

Application of Rough Set Theory to Prediction of Antimicrobial Activity of Bis-Quaternary Imidazolium Chlorides

Roman Slowinski, Jerzy Blaszczynski, Lukasz Palkowski, 2014, Fundam. Informaticae.

Consistency Driven Feature Subspace Aggregating for Ordinal Classification

Roman Slowinski, Jerzy Stefanowski, Jerzy Blaszczynski, 2016, IJCRS.

Telesfor - Telemedical Real-Time Communication Support System

Bartlomiej Predki, Roman Slowinski, Jerzy Blaszczynski, 2008, Information Technologies in Biomedicine.

Inductive discovery of laws using monotonic rules

Salvatore Greco, Roman Slowinski, Jerzy Blaszczynski, 2012, Eng. Appl. Artif. Intell..

Integrating Selective Pre-processing of Imbalanced Data with Ivotes Ensemble

Szymon Wilk, Jerzy Stefanowski, Jerzy Blaszczynski, 2010, RSCTC.

Neighbourhood sampling in bagging for imbalanced data

Jerzy Stefanowski, Jerzy Blaszczynski, J. Stefanowski, 2015, Neurocomputing.

Actively Balanced Bagging for Imbalanced Data

Jerzy Stefanowski, Jerzy Blaszczynski, J. Stefanowski, 2017, ISMIS.

Local Data Characteristics in Learning Classifiers from Imbalanced Data

Jerzy Stefanowski, Jerzy Blaszczynski, 2018, Advances in Data Analysis with Computational Intelligence Methods.

Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods

Wojciech Kotlowski, Krzysztof Dembczynski, Jerzy Blaszczynski, 2006, DaWaK.

Monotonic Variable Consistency Rough Set Approaches

Salvatore Greco, Roman Slowinski, Jerzy Blaszczynski, 2009, Int. J. Approx. Reason..

Differential Diagnosis of Bacterial and Viral Meningitis Using Dominance-Based Rough Set Approach

Roman Slowinski, Jerzy Blaszczynski, Ewelina Gowin, 2019, KR4HC/ProHealth/TEAAM@AIME.

Monotonic Variable Consistency Rough Set Approaches

Salvatore Greco, Roman Slowinski, Jerzy Blaszczynski, 2009, Int. J. Approx. Reason..

Learning ensemble classifiers for diabetic retinopathy assessment

Antonio Moreno, Aïda Valls, Roman Slowinski, 2017, Artif. Intell. Medicine.

Interactive Analysis of Preference-Ordered Data Using Dominance-Based Rough Set Approach

Roman Slowinski, Krzysztof Dembczynski, Jerzy Blaszczynski, 2006, ICAISC.

Ontologies for Knowledge Modeling and Creating User Interface in the Framework of Telemedical Portal

Cezary Mazurek, Szymon Wilk, Michal Kosiedowski, 2006, ECEH.

Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System

Dawid Weiss, Wojtek Michalowski, Ken Farion, 2005, AIME.

jMAF - Dominance-Based Rough Set Data Analysis Framework

Salvatore Greco, Roman Slowinski, Benedetto Matarazzo, 2013, Rough Sets and Intelligent Systems.

Multi-objective Search for Comprehensible Rule Ensembles

Roman Slowinski, Jerzy Blaszczynski, Bartosz Prusak, 2016, IJCRS.

A Rough Set Approach to Novel Compounds Activity Prediction Based on Surface Active Properties and Molecular Descriptors

Roman Slowinski, Jerzy Blaszczynski, Alicja Nowaczyk, 2014, RSEISP.

Learnability in Rough Set Approaches

Roman Slowinski, Jerzy Blaszczynski, Marcin Szelag, 2010, RSCTC.

Interpretation of Variable Consistency Dominance-Based Rough Set Approach by Minimization of Asymmetric Loss Function

Masahiro Inuiguchi, Yoshifumi Kusunoki, Roman Slowinski, 2019, IUKM.

Variable Consistency Bagging Ensembles

Roman Slowinski, Jerzy Stefanowski, Jerzy Blaszczynski, 2010, Trans. Rough Sets.

IIvotes ensemble for imbalanced data

Szymon Wilk, Jerzy Stefanowski, Jerzy Blaszczynski, 2012, Intell. Data Anal..

Ensembles of Abstaining Classifiers Based on Rule Sets

Jerzy Stefanowski, Jerzy Blaszczynski, Magdalena Zajac, 2009, ISMIS.

On Variable Consistency Dominance-Based Rough Set Approaches

Salvatore Greco, Roman Slowinski, Jerzy Blaszczynski, 2006, RSCTC.

Diversity Analysis on Imbalanced Data Using Neighbourhood and Roughly Balanced Bagging Ensembles

Mateusz Lango, Jerzy Blaszczynski, 2016, ICAISC.

Probabilistic Rough Set Approaches to Ordinal Classification with Monotonicity Constraints

Roman Slowinski, Jerzy Blaszczynski, Marcin Szelag, 2010, IPMU.

Improving Bagging Ensembles for Class Imbalanced Data by Active Learning

Jerzy Stefanowski, Jerzy Blaszczynski, J. Stefanowski, 2018, Advances in Feature Selection for Data and Pattern Recognition.

Multi-criteria classification - A new scheme for application of dominance-based decision rules

Salvatore Greco, Roman Slowinski, Jerzy Blaszczynski, 2007, Eur. J. Oper. Res..

On Different Ways of Handling Inconsistencies in Ordinal Classification with Monotonicity Constraints

Guoyin Wang, Roman Slowinski, Feng Hu, 2012, IPMU.

Empirical risk minimization for dominance-based rough set approaches

Masahiro Inuiguchi, Yoshifumi Kusunoki, Roman Slowinski, 2021, Inf. Sci..