Jerzy Stefanowski

发表

ROSE - Software Implementation of the Rough Set Theory

Szymon Wilk, Bartlomiej Predki, Roman Slowinski, 1998, Rough Sets and Current Trends in Computing.

PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis

Jerzy Stefanowski, Mateusz Lango, Dariusz Brzezinski, 2016, *SEMEVAL.

Modifications of Classification Strategies in Rule Set Based Bagging for Imbalanced Data

Jerzy Stefanowski, Krystyna Napierala, 2012, HAIS.

Ensemble Diversity in Evolving Data Streams

Jerzy Stefanowski, Dariusz Brzezinski, J. Stefanowski, 2016, DS.

An Empirical Study of Using Rule Induction and Rough Sets to Software Cost Estimation

Jerzy Stefanowski, J. Stefanowski, 2006, Fundam. Informaticae.

Neural Networks and Rough Sets - Comparison and Combination for Classification of Histological Pictures

Krzysztof Krawiec, Roman Slowinski, Jerzy Stefanowski, 1993, RSKD.

In memoriam Professor Solomon Marcus

Jerzy Stefanowski, 2016 .

Classification of Polish Email Messages: Experiments with Various Data Representations

Jerzy Stefanowski, Marcin Zienkowicz, 2006, ISMIS.

Local neighbourhood extension of SMOTE for mining imbalanced data

Tomasz Maciejewski, Jerzy Stefanowski, J. Stefanowski, 2011, 2011 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

On Properties of Undersampling Bagging and Its Extensions for Imbalanced Data

Jerzy Stefanowski, 2015, CORES.

Artificial Intelligence Research Community and Associations in Poland

Grzegorz J. Nalepa, Jerzy Stefanowski, G. J. Nalepa, 2020 .

Visual-based analysis of classification measures and their properties for class imbalanced problems

Jerzy Stefanowski, Robert Susmaga, Dariusz Brzezinski, 2018, Inf. Sci..

Ensemble Classifiers for Imbalanced and Evolving Data Streams

Jerzy Stefanowski, Dariusz Brzezinski, J. Stefanowski, 2018 .

'Roughdas' and 'Roughclass' Software Implementations of the Rough Sets Approach

Roman Slowinski, Jerzy Stefanowski, R. Słowiński, 1992, Intelligent Decision Support.

The Usefulness of Roughly Balanced Bagging for Complex and High-Dimensional Imbalanced Data

Jerzy Stefanowski, Mateusz Lango, J. Stefanowski, 2015, NFMCP.

Mining Context Based Sequential Patterns

Jerzy Stefanowski, Radoslaw Ziembinski, 2005, AWIC.

A Comparison of Two Approaches to Data Mining from Imbalanced Data

Jerzy W. Grzymala-Busse, Szymon Wilk, Jerzy Stefanowski, 2004, J. Intell. Manuf..

Induction of decision rules in classification and discovery-oriented perspectives

Daniel Vanderpooten, Jerzy Stefanowski, J. Stefanowski, 2001, Int. J. Intell. Syst..

BRACID: a comprehensive approach to learning rules from imbalanced data

Jerzy Stefanowski, Krystyna Napierala, 2011, Journal of Intelligent Information Systems.

Extending Bagging for Imbalanced Data

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

Learning from Imbalanced Data in Presence of Noisy and Borderline Examples

Szymon Wilk, Jerzy Stefanowski, Krystyna Napierala, 2010, RSCTC.

Open challenges for data stream mining research

Eyke Hüllermeier, Myra Spiliopoulou, Mark Last, 2014, SKDD.

RILL: Algorithm for Learning Rules from Streaming Data with Concept Drift

Jerzy Stefanowski, Magdalena Deckert, 2014, ISMIS.

Preface

Edward Nawarecki, Robert Schaefer, Zbigniew Suraj, 2006, Fundam. Informaticae.

Identification of Different Types of Minority Class Examples in Imbalanced Data

Jerzy Stefanowski, Krystyna Napierala, J. Stefanowski, 2012, HAIS.

Tetrahedron: Barycentric Measure Visualizer

Jerzy Stefanowski, Robert Susmaga, Dariusz Brzezinski, 2017, ECML/PKDD.

Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing

Guoyin Wang, Cory J. Butz, Sheela Ramanna, 2003, Lecture Notes in Computer Science.

On rough set based approaches to induction of decision rules

Jerzy Stefanowski, J. Stefanowski, 1998 .

Incremental Rule Induction for Multicriteria and Multiattribute Classification

Jerzy Stefanowski, Marcin Zurawski, J. Stefanowski, 2003, IIS.

The Rough Sets Approach to Knowledge Analysis for Classification Support in Technical Diagnostics of Mechanical Objects

Roman Slowinski, Jerzy Stefanowski, Ryszard Nowicki, 1992, IEA/AIE.

Ordinal Classification with Monotonicity Constraints by Variable Consistency Bagging

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

Post-processing of BRACID Rules Induced from Imbalanced Data

Jerzy Stefanowski, Krystyna Napierala, 2016, Fundam. Informaticae.

Data stream classification and big data analytics

Bartosz Krawczyk, Michal Wozniak, Jerzy Stefanowski, 2015, Neurocomputing.

Discovering Decision Trees

Jerzy Stefanowski, 2010 .

Rough Sets: Facts Versus Misconceptions

Jerzy W. Grzymala-Busse, Jerzy Stefanowski, Wojciech Ziarko, 1996, Informatica.

Consistency Driven Feature Subspace Aggregating for Ordinal Classification

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

Addressing imbalanced data with argument based rule learning

Jerzy Stefanowski, Krystyna Napierala, J. Stefanowski, 2015, Expert Syst. Appl..

Evaluating Importance of Conditions in the Set of Discovered Rules

Salvatore Greco, Roman Slowinski, Jerzy Stefanowski, 2007, RSFDGrC.

Rough classification in incomplete information systems

Jerzy Stefanowski, Roman Sowiski, J. Stefanowski, 1989 .

Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data pdf

Jerzy Stefanowski, Robert Susmaga, Dariusz Brzezinski, 2017, ArXiv.

Classifiers for Concept-drifting Data Streams: Evaluating Things That Really Matter

Jerzy Stefanowski, Dariusz Brzezinski, 2013 .

Web Search Results Clustering in Polish: Experimental Evaluation of Carrot

Dawid Weiss, Jerzy Stefanowski, 2003, IIS.

Incremental versus Non-incremental Rule Induction for Multicriteria Classification

Salvatore Greco, Roman Slowinski, Jerzy Stefanowski, 2004, Trans. Rough Sets.

Handling Various Types of Uncertainty in the Rough Set Approach

Roman Slowinski, Jerzy Stefanowski, R. Słowiński, 1993, RSKD.

Classification Support Based on the Rough Sets Theory

Jerzy Stefanowski, 1993 .

On the Dynamics of Classification Measures for Imbalanced and Streaming Data

Jerzy Stefanowski, Robert Susmaga, Dariusz Brzezinski, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Carrot and Language Properties in Web Search Results Clustering

Dawid Weiss, Jerzy Stefanowski, J. Stefanowski, 2003, AWIC.

Importance and Interaction of Conditions in Decision Rules

Salvatore Greco, Roman Slowinski, Jerzy Stefanowski, 2002, Rough Sets and Current Trends in Computing.

An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle

Salvatore Greco, Roman Slowinski, Jerzy Stefanowski, 2000, Rough Sets and Current Trends in Computing.

A Machine Learning Perspective on Big Data Analysis

Nathalie Japkowicz, Jerzy Stefanowski, 2016 .

Argument Based Generalization of MODLEM Rule Induction Algorithm

Jerzy Stefanowski, Krystyna Napierala, 2010, RSCTC.

Evaluation of vibroacoustic diagnostic symptoms by means of the rough sets theory

Roman Słowiński, Jerzy Stefanowski, Ryszard Nowicki, 1992 .

Ensemble learning for data stream analysis: A survey

João Gama, Bartosz Krawczyk, Leandro L. Minku, 2017, Inf. Fusion.

Application of Rule Induction and Rough Sets to Verification of Magnetic Resonance Diagnosis

Jerzy Stefanowski, Krzysztof Slowinski, Dariusz Siwinski, 2002, Fundam. Informaticae.

Using Information on Class Interrelations to Improve Classification of Multiclass Imbalanced Data: A New Resampling Algorithm

Jerzy Stefanowski, Mateusz Lango, Małgorzata Janicka, 2019, Int. J. Appl. Math. Comput. Sci..

Types of minority class examples and their influence on learning classifiers from imbalanced data

Jerzy Stefanowski, Krystyna Napierala, J. Stefanowski, 2015, Journal of Intelligent Information Systems.

On the Extension of Rough Sets under Incomplete Information

Alexis Tsoukiàs, Jerzy Stefanowski, J. Stefanowski, 1999, RSFDGrC.

An experimental evaluation of improving rule based classifiers with two approaches that change representations of learning examples

Jerzy Stefanowski, J. Stefanowski, 2004, Eng. Appl. Artif. Intell..

Integrating Selective Pre-processing of Imbalanced Data with Ivotes Ensemble

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

Feature subset selection for classification of histological images

Jerzy Stefanowski, Jacek Jelonek, J. Stefanowski, 1997, Artif. Intell. Medicine.

On using rule induction in multiple classifiers with a combiner aggregation strategy

Jerzy Stefanowski, Slawomir Nowaczyk, J. Stefanowski, 2005, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05).

Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm

Jerzy Stefanowski, Dariusz Brzezinski, J. Stefanowski, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci, Donato Malerba, Yuzuru Tanaka, 2017, Lecture Notes in Computer Science.

Rough Sets for Handling Imbalanced Data: Combining Filtering and Rule-based Classifiers

Szymon Wilk, Jerzy Stefanowski, J. Stefanowski, 2006, Fundam. Informaticae.

Comprehensible and Accurate Cluster Labels in Text Clustering

Dawid Weiss, Jerzy Stefanowski, 2007, RIAO.

Handling Continuous Attributes in Discovery of Strong Decision Rules

Jerzy Stefanowski, J. Stefanowski, 1998, Rough Sets and Current Trends in Computing.

An experimental evaluation of two approaches to mining context based sequential patterns

Jerzy Stefanowski, Radoslaw Ziembinski, J. Stefanowski, 2009, Control. Cybern..

The Impact of Local Data Characteristics on Learning from Imbalanced Data

Jerzy Stefanowski, J. Stefanowski, 2014, RSEISP.

Extending Rule-Based Classifiers to Improve Recognition of Imbalanced Classes

Szymon Wilk, Jerzy Stefanowski, J. Stefanowski, 2009 .

Changing representation of learning examples while inducing classifiers based on decision rules

Jerzy Stefanowski, J. Stefanowski, 2003 .

Evaluating business credit risk by means of approach-integrating decision rules and case-based learning

Szymon Wilk, Jerzy Stefanowski, J. Stefanowski, 2001, Intell. Syst. Account. Finance Manag..

Neighbourhood sampling in bagging for imbalanced data

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

An Algorithm for Selective Preprocessing of Multi-class Imbalanced Data

Szymon Wilk, Jerzy Stefanowski, Szymon Wojciechowski, 2017, CORES.

Combining Answers of Sub-classifiers in the Bagging-Feature Ensembles

Jerzy Stefanowski, J. Stefanowski, 2007, RSEISP.

Local Characteristics of Minority Examples in Pre-processing of Imbalanced Data

Jerzy Stefanowski, Krystyna Napierala, Malgorzata Trzcielinska, 2014, ISMIS.

Actively Balanced Bagging for Imbalanced Data

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

Stream Classification

Jerzy Stefanowski, Dariusz Brzezinski, J. Stefanowski, 2017, Encyclopedia of Machine Learning and Data Mining.

Algorytmy indukcji reguł decyzyjnych w odkrywaniu wiedzy

Jerzy Stefanowski, J. Stefanowski, 2001 .

Local Data Characteristics in Learning Classifiers from Imbalanced Data

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

On Combined Classifiers, Rule Induction and Rough Sets

Jerzy Stefanowski, J. Stefanowski, 2007, Trans. Rough Sets.

Comparison of the Rough Sets Approach and Probabilistic Data Analysis Techniques on a Common Set of Medical Data

Ankica Babic, Roman Slowinski, Jerzy Stefanowski, 1992, Intelligent Decision Support.

Rough Classification with Valued Closeness Relation

Roman Słowiński, Jerzy Stefanowski, R. Słowiński, 1994 .

Adaptive Ensembles for Evolving Data Streams - Combining Block-Based and Online Solutions

Jerzy Stefanowski, J. Stefanowski, 2015, NFMCP.

Combining block-based and online methods in learning ensembles from concept drifting data streams

Jerzy Stefanowski, Dariusz Brzezinski, J. Stefanowski, 2014, Inf. Sci..

Abstaining in rule set bagging for imbalanced data

Jerzy Stefanowski, Krystyna Napierala, 2015, Log. J. IGPL.

Bagging and Induction of Decision Rules

Jerzy Stefanowski, J. Stefanowski, 2002, Intelligent Information Systems.

Rough-Set Reasoning about Uncertain Data

Roman Slowinski, Jerzy Stefanowski, 1996, Fundam. Informaticae.

ImWeights: Classifying Imbalanced Data Using Local and Neighborhood Information

Jerzy Stefanowski, Mateusz Lango, Dariusz Brzezinski, 2018, LIDTA@ECML/PKDD.

Selective Pre-processing of Imbalanced Data for Improving Classification Performance

Szymon Wilk, Jerzy Stefanowski, J. Stefanowski, 2008, DaWaK.

Prequential AUC: properties of the area under the ROC curve for data streams with concept drift

Jerzy Stefanowski, Dariusz Brzezinski, J. Stefanowski, 2017, Knowledge and Information Systems.

Rough Set Theory and Rule Induction Techniques for Discovery of Attribute Dependencies in Medical Information Systems

Jerzy Stefanowski, Krzysztof Slowinski, J. Stefanowski, 1997, PKDD.

Variable Consistency Model of Dominance-Based Rough Sets Approach

Salvatore Greco, Roman Slowinski, Jerzy Stefanowski, 2000, Rough Sets and Current Trends in Computing.

Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering

Francisco Herrera, Jerzy Stefanowski, Julián Luengo, 2014, IDEAL.

Evaluating Difficulty of Multi-class Imbalanced Data

Jerzy Stefanowski, Mateusz Lango, Krystyna Napierala, 2017, ISMIS.

Exploring complex and big data

Krzysztof Krawiec, Robert Wrembel, Jerzy Stefanowski, 2017, Int. J. Appl. Math. Comput. Sci..

Mining Association Rules in Preference-Ordered Data

Salvatore Greco, Roman Slowinski, Jerzy Stefanowski, 2002, ISMIS.

An Experimental Study of Using Rule Induction Algorithm in Combiner Multiple Classifier

Jerzy Stefanowski, Slawomir Nowaczyk, J. Stefanowski, 2007 .

Overlapping, Rare Examples and Class Decomposition in Learning Classifiers from Imbalanced Data

Jerzy Stefanowski, J. Stefanowski, 2013 .

Increasing the Interpretability of Rules Induced from Imbalanced Data by Using Bayesian Confirmation Measures

Jerzy Stefanowski, Krystyna Napierala, Izabela Szczech, 2016, NFMCP@PKDD/ECML.

Big Data Analysis: New Algorithms for a New Society

Nathalie Japkowicz, Jerzy Stefanowski, 2015 .

Dealing with Data Difficulty Factors While Learning from Imbalanced Data

Jerzy Stefanowski, J. Stefanowski, 2016, Challenges in Computational Statistics and Data Mining.

Multistage Rough Set Analysis of Therapeutic Experience with Acute Pancreatitis

Jerzy Stefanowski, Krzysztof Słowiński, J. Stefanowski, 1998 .

Application of Preprocessing Methods to Imbalanced Clinical Data: An Experimental Study

Wojtek Michalowski, Szymon Wilk, Jerzy Stefanowski, 2016, ITIB.

The Bagging and n2-Classifiers Based on Rules Induced by MODLEM

Jerzy Stefanowski, J. Stefanowski, 2004, Rough Sets and Current Trends in Computing.

Variable Consistency Bagging Ensembles

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

Valued Tolerance and Decision Rules

Alexis Tsoukiàs, Jerzy Stefanowski, J. Stefanowski, 2000, Rough Sets and Current Trends in Computing.

Three discretization methods for rule induction

Jerzy W. Grzymala-Busse, Jerzy Stefanowski, J. Grzymala-Busse, 2001, Int. J. Intell. Syst..

IIvotes ensemble for imbalanced data

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

Prequential AUC for Classifier Evaluation and Drift Detection in Evolving Data Streams

Jerzy Stefanowski, Dariusz Brzezinski, J. Stefanowski, 2014, NFMCP.

Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition

Dawid Weiss, Stanislaw Osinski, Jerzy Stefanowski, 2004, Intelligent Information Systems.

Ensembles of Abstaining Classifiers Based on Rule Sets

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

Accuracy Updated Ensemble for Data Streams with Concept Drift

Jerzy Stefanowski, Dariusz Brzezinski, J. Stefanowski, 2011, HAIS.

A General Two-Stage Approach to Inducing Rules from Examples

Daniel Vanderpooten, Jerzy Stefanowski, J. Stefanowski, 1993, RSKD.

Analysis of Diagnostic Symptoms in Vibroacoustic Diagnostics by Means of the Rough Sets Theory

Roman Slowinski, Jerzy Stefanowski, Ryszard Nowicki, 1992, Intelligent Decision Support.

Comparing Performance of Text Summarization Methods on Polish News Articles

Dawid Weiss, Jerzy Stefanowski, Adam Dudczak, 2008 .

Evaluation of Sentence-Selection Text Summarization Methods on Polish News Articles

Dawid Weiss, Jerzy Stefanowski, Adam Dudczak, 2010 .

Rough Set Theory and Decision Rules in Data Analysis of Breast Cancer Patients

Jerzy Stefanowski, Jerzy Krysinski, Jerzy Zaluski, 2004, Trans. Rough Sets.

Induction of Decision Rules and Classification in the Valued Tolerance Approach

Alexis Tsoukiàs, Jerzy Stefanowski, J. Stefanowski, 2002, Rough Sets and Current Trends in Computing.

Incomplete Information Tables and Rough Classification

Alexis Tsoukiàs, Jerzy Stefanowski, J. Stefanowski, 2001, Comput. Intell..

Comparing Block Ensembles for Data Streams with Concept Drift

Jerzy Stefanowski, Magdalena Deckert, 2012, ADBIS Workshops.

Multi-class and feature selection extensions of Roughly Balanced Bagging for imbalanced data

Jerzy Stefanowski, Mateusz Lango, J. Stefanowski, 2018, Journal of Intelligent Information Systems.

Machine Learning and Knowledge Discovery in Databases

Michelangelo Ceci, Donato Malerba, Taneli Mielikäinen, 2017, Lecture Notes in Computer Science.

Hyperplane Aggregation of Dominance Decision Rules

Jerzy Stefanowski, Robert Susmaga, Roman Pindur, 2003, Fundam. Informaticae.

Combined learning methods and mining complex data

Jerzy Stefanowski, 2012, Intell. Data Anal..

Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data

Jerzy Stefanowski, Mateusz Lango, Dariusz Brzezinski, 2017, DS.

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.

A Comparison of Two Approaches to Data Mining from Imbalanced Data

Jerzy W. Grzymala-Busse, Szymon Wilk, Jerzy Stefanowski, 2004, J. Intell. Manuf..

SMOTE-IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

Francisco Herrera, Jerzy Stefanowski, Julián Luengo, 2015, Inf. Sci..

Processing and mining complex data streams

Dominik Slezak, Alfredo Cuzzocrea, Jerzy Stefanowski, 2014, Inf. Sci..

Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems: AIME 2019 International Workshops, KR4HC/ProHealth and TEAAM, Poznan, Poland, June 26–29, 2019, Revised Selected Papers

Grzegorz J. Nalepa, Mor Peleg, Mar Marcos, 2019, KR4HC/ProHealth/TEAAM@AIME.

Experiments on Solving Multiclass Learning Problems by n2-classifier

Jerzy Stefanowski, Jacek Jelonek, J. Stefanowski, 1998, ECML.

The impact of data difficulty factors on classification of imbalanced and concept drifting data streams

Leandro L. Minku, Jerzy Stefanowski, Dariusz Brzezinski, 2021, Knowledge and Information Systems.

Time Aspect in Making an Actionable Prediction of a Conversation Breakdown

Jerzy Stefanowski, Mateusz Lango, Piotr Janiszewski, 2021, ECML/PKDD.

Classification of Multi-class Imbalanced Data: Data Difficulty Factors and Selected Methods for Improving Classifiers

Jerzy Stefanowski, 2021, IJCRS.

Handling Sudden Concept Drift in Enron Messages Data Stream

Jerzy Stefanowski, R. Kmieciak, 2010 .

Feature Set-based Consistency Sampling in Bagging Ensembles

Jerzy Stefanowski, J. Stefanowski, 2009 .

Comparing Performance of Committee Based Approaches to Active Learning

Jerzy Stefanowski, J. Stefanowski, Mateusz Pachocki, 2009 .

An Experimental Study of Methods Combining Multiple Classifiers-Diversified both by Feature Selection and Bootstrap Sampling

Jerzy Stefanowski, J. Stefanowski, 2005 .

Extending k-means with the description comes first approach

Dawid Weiss, Jerzy Stefanowski, J. Stefanowski, 2007 .

Rough set theory and rule induction techniques for discovery of attribute dependencies in experience with multiple injured patients

Jerzy Stefanowski, Krzysztof Słowiński, J. Stefanowski, 1998 .