Jerzy Stefanowski
Orcid: 0000-0002-4949-8271Affiliations:
- Poznan University of Technology, Poland
According to our database1,
Jerzy Stefanowski
authored at least 122 papers
between 1992 and 2024.
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Bibliography
2024
Multi-criteria approach for selecting an explanation from the set of counterfactuals produced by an ensemble of explainers.
CoRR, 2024
2023
CoRR, 2023
CoRR, 2023
PIQARD System for Experimenting and Testing Language Models with Prompting Strategies.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the Intelligent Information and Database Systems - 15th Asian Conference, 2023
2022
Expert Syst. Appl., 2022
The Influence of Multiple Classes on Learning Online Classifiers from Imbalanced and Concept Drifting Data Streams.
CoRR, 2022
CoRR, 2022
Proceedings of the Fourth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2022
Quality Versus Speed in Energy Demand Prediction - Experience Report from an R &D project.
Proceedings of the Database and Expert Systems Applications, 2022
2021
The impact of data difficulty factors on classification of imbalanced and concept drifting data streams.
Knowl. Inf. Syst., 2021
Classification of Multi-class Imbalanced Data: Data Difficulty Factors and Selected Methods for Improving Classifiers.
Proceedings of the Rough Sets - International Joint Conference, 2021
Prototypical Convolutional Neural Network for a Phrase-Based Explanation of Sentiment Classification.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021
Proceedings of the Third International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
multi-imbalance: Open Source Python Toolbox for Multi-class Imbalanced Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020
2019
Using Information on Class Interrelations to Improve Classification of Multiclass Imbalanced Data: A New Resampling Algorithm.
Int. J. Appl. Math. Comput. Sci., 2019
2018
Proceedings of the Advances in Feature Selection for Data and Pattern Recognition, 2018
Multi-class and feature selection extensions of Roughly Balanced Bagging for imbalanced data.
J. Intell. Inf. Syst., 2018
Visual-based analysis of classification measures and their properties for class imbalanced problems.
Inf. Sci., 2018
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
Prequential AUC: properties of the area under the ROC curve for data streams with concept drift.
Knowl. Inf. Syst., 2017
Visual-Based Analysis of Classification Measures with Applications to Imbalanced Data.
CoRR, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017
Proceedings of the Discovery Science - 20th International Conference, 2017
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017
2016
Proceedings of the Challenges in Computational Statistics and Data Mining, 2016
Types of minority class examples and their influence on learning classifiers from imbalanced data.
J. Intell. Inf. Syst., 2016
Fundam. Informaticae, 2016
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016
Proceedings of the Rough Sets - International Joint Conference, 2016
Increasing the Interpretability of Rules Induced from Imbalanced Data by Using Bayesian Confirmation Measures.
Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016
Application of Preprocessing Methods to Imbalanced Clinical Data: An Experimental Study.
Proceedings of the Information Technologies in Medicine - 5th International Conference, 2016
Proceedings of the Discovery Science - 19th International Conference, 2016
2015
SMOTE-IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering.
Inf. Sci., 2015
Expert Syst. Appl., 2015
Adaptive Ensembles for Evolving Data Streams - Combining Block-Based and Online Solutions.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015
The Usefulness of Roughly Balanced Bagging for Complex and High-Dimensional Imbalanced Data.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015
2014
Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm.
IEEE Trans. Neural Networks Learn. Syst., 2014
Combining block-based and online methods in learning ensembles from concept drifting data streams.
Inf. Sci., 2014
Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014
Prequential AUC for Classifier Evaluation and Drift Detection in Evolving Data Streams.
Proceedings of the New Frontiers in Mining Complex Patterns - Third International Workshop, 2014
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014
Proceedings of the Foundations of Intelligent Systems - 21st International Symposium, 2014
Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014
2013
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013
2012
J. Intell. Inf. Syst., 2012
Modifications of Classification Strategies in Rule Set Based Bagging for Imbalanced Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
Proceedings of the New Trends in Databases and Information Systems, 2012
2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011
2010
Proceedings of the Rough Sets and Current Trends in Computing, 2010
Proceedings of the Rough Sets and Current Trends in Computing, 2010
Ordinal Classification with Monotonicity Constraints by Variable Consistency Bagging.
Proceedings of the Rough Sets and Current Trends in Computing, 2010
Proceedings of the Rough Sets and Current Trends in Computing, 2010
2009
An experimental evaluation of two approaches to mining context based sequential patterns.
Control. Cybern., 2009
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009
2008
Selective Pre-processing of Imbalanced Data for Improving Classification Performance.
Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008
2007
Proceedings of the Rough Sets, 2007
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007
Proceedings of the Computer-Assisted Information Retrieval (Recherche d'Information et ses Applications) - RIAO 2007, 8th International Conference, Carnegie Mellon University, Pittsburgh, PA, USA, May 30, 2007
2006
Rough Sets for Handling Imbalanced Data: Combining Filtering and Rule-based Classifiers.
Fundam. Informaticae, 2006
An Empirical Study of Using Rule Induction and Rough Sets to Software Cost Estimation.
Fundam. Informaticae, 2006
Classification of Polish Email Messages: Experiments with Various Data Representations.
Proceedings of the Foundations of Intelligent Systems, 16th International Symposium, 2006
2005
J. Intell. Manuf., 2005
On Using Rule Induction in Multiple Classifiers with a Combiner Aggregation Strategy.
Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications (ISDA 2005), 2005
Proceedings of the Advances in Web Intelligence Third International Atlantic Web IntelligenceConference, 2005
2004
Trans. Rough Sets, 2004
Trans. Rough Sets, 2004
An experimental evaluation of improving rule based classifiers with two approaches that change representations of learning examples.
Eng. Appl. Artif. Intell., 2004
Proceedings of the Rough Sets and Current Trends in Computing, 2004
Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition.
Proceedings of the Intelligent Information Processing and Web Mining, 2004
2003
Web Search Results Clustering in Polish: Experimental Evaluation of Carrot.
Proceedings of the Intelligent Information Processing and Web Mining, 2003
Incremental Rule Induction for Multicriteria and Multiattribute Classification.
Proceedings of the Intelligent Information Processing and Web Mining, 2003
Proceedings of the Web Intelligence, 2003
2002
Application of Rule Induction and Rough Sets to Verification of Magnetic Resonance Diagnosis.
Fundam. Informaticae, 2002
Proceedings of the Rough Sets and Current Trends in Computing, 2002
Proceedings of the Rough Sets and Current Trends in Computing, 2002
Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002
Bagging and Induction of Decision Rules.
Proceedings of the Intelligent Information Systems 2002, 2002
2001
Evaluating business credit risk by means of approach-integrating decision rules and case-based learning.
Intell. Syst. Account. Finance Manag., 2001
Int. J. Intell. Syst., 2001
2000
Proceedings of the Rough Sets and Current Trends in Computing, 2000
An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle.
Proceedings of the Rough Sets and Current Trends in Computing, 2000
Proceedings of the Rough Sets and Current Trends in Computing, 2000
1999
Proceedings of the New Directions in Rough Sets, 1999
1998
Proceedings of the Rough Sets and Current Trends in Computing, 1998
Proceedings of the Rough Sets and Current Trends in Computing, 1998
Experiments on Solving Multiclass Learning Problems by <i>n<sup>2</sup></i>-classifier.
Proceedings of the Machine Learning: ECML-98, 1998
1997
Artif. Intell. Medicine, 1997
Rough Set Theory and Rule Induction Techniques for Discovery of Attribute Dependencies in Medical Information Systems.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 1997
1996
Rough Sets: Facts Versus Misconceptions.
Informatica (Slovenia), 1996
1993
A General Two-Stage Approach to Inducing Rules from Examples.
Proceedings of the Rough Sets, 1993
Handling Various Types of Uncertainty in the Rough Set Approach.
Proceedings of the Rough Sets, 1993
Neural Networks and Rough Sets - Comparison and Combination for Classification of Histological Pictures.
Proceedings of the Rough Sets, 1993
1992
The Rough Sets Approach to Knowledge Analysis for Classification Support in Technical Diagnostics of Mechanical Objects.
Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1992
Proceedings of the Intelligent Decision Support, 1992
Analysis of Diagnostic Symptoms in Vibroacoustic Diagnostics by Means of the Rough Sets Theory.
Proceedings of the Intelligent Decision Support, 1992
Comparison of the Rough Sets Approach and Probabilistic Data Analysis Techniques on a Common Set of Medical Data.
Proceedings of the Intelligent Decision Support, 1992