Jerzy Blaszczynski

According to our database1, Jerzy Blaszczynski authored at least 42 papers between 2003 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Interpretation of Variable Consistency Dominance-Based Rough Set Approach by Minimization of Asymmetric Loss Function.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

2018
Improving Bagging Ensembles for Class Imbalanced Data by Active Learning.
Proceedings of the Advances in Feature Selection for Data and Pattern Recognition, 2018

Learning ensemble classifiers for diabetic retinopathy assessment.
Artificial Intelligence in Medicine, 2018

Local Data Characteristics in Learning Classifiers from Imbalanced Data.
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018

2017
Rough Set Analysis of Classification Data with Missing Values.
Proceedings of the Rough Sets - International Joint Conference, 2017

Actively Balanced Bagging for Imbalanced Data.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

2016
Consistency Driven Feature Subspace Aggregating for Ordinal Classification.
Proceedings of the Rough Sets - International Joint Conference, 2016

Multi-objective Search for Comprehensible Rule Ensembles.
Proceedings of the Rough Sets - International Joint Conference, 2016

Diversity Analysis on Imbalanced Data Using Neighbourhood and Roughly Balanced Bagging Ensembles.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

2015
Comparative analysis of targeted metabolomics: Dominance-based rough set approach versus orthogonal partial least square-discriminant analysis.
Journal of Biomedical Informatics, 2015

Neighbourhood sampling in bagging for imbalanced data.
Neurocomputing, 2015

Empirical Risk Minimization for Variable Consistency Dominance-Based Rough Set Approach.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014
Application of Rough Set Theory to Prediction of Antimicrobial Activity of Bis-Quaternary Imidazolium Chlorides.
Fundam. Inform., 2014

A Rough Set Approach to Novel Compounds Activity Prediction Based on Surface Active Properties and Molecular Descriptors.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014

2013
jMAF - Dominance-Based Rough Set Data Analysis Framework.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints.
Fundam. Inform., 2013

Empirical Risk Minimization for Variable Precision Dominance-Based Rough Set Approach.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

Extending Bagging for Imbalanced Data.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

2012
IIvotes ensemble for imbalanced data.
Intell. Data Anal., 2012

Inductive discovery of laws using monotonic rules.
Eng. Appl. of AI, 2012

Application of Rough Set Theory to Prediction of Antimicrobial Activity of Bis-quaternary Ammonium Chlorides.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Induction of Ordinal Classification Rules from Incomplete Data.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

On Different Ways of Handling Inconsistencies in Ordinal Classification with Monotonicity Constraints.
Proceedings of the Advances on Computational Intelligence, 2012

2011
Sequential covering rule induction algorithm for variable consistency rough set approaches.
Inf. Sci., 2011

Case-Based Reasoning Using Dominance-Based Decision Rules.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Rule-Based Estimation of Attribute Relevance.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

2010
Variable Consistency Bagging Ensembles.
Trans. Rough Sets, 2010

Learnability in Rough Set Approaches.
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

Integrating Selective Pre-processing of Imbalanced Data with Ivotes Ensemble.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

Probabilistic Rough Set Approaches to Ordinal Classification with Monotonicity Constraints.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

2009
Monotonic Variable Consistency Rough Set Approaches.
Int. J. Approx. Reasoning, 2009

Ensembles of Abstaining Classifiers Based on Rule Sets.
Proceedings of the Foundations of Intelligent Systems, 18th International Symposium, 2009

2008
Telesfor - Telemedical Real-Time Communication Support System.
Proceedings of the Information Technologies in Biomedicine, 2008

2007
Multi-criteria classification - A new scheme for application of dominance-based decision rules.
European Journal of Operational Research, 2007

2006
On Variable Consistency Dominance-Based Rough Set Approaches.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Interactive Analysis of Preference-Ordered Data Using Dominance-Based Rough Set Approach.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Ontologies for Knowledge Modeling and Creating User Interface in the Framework of Telemedical Portal.
Proceedings of the European Conference on eHealth 2006, 2006

Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods.
Proceedings of the Data Warehousing and Knowledge Discovery, 8th International Conference, 2006

2005
Mining Clinical Data: Selecting Decision Support Algorithm for the MET-AP System.
Proceedings of the Artificial Intelligence in Medicine, 2005

2003
Incremental Induction of Decision Rules from Dominance-based Rough Approximations.
Electr. Notes Theor. Comput. Sci., 2003


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