Richard Jensen

发表

Fuzzy-rough data reduction with ant colony optimization

Qiang Shen, Richard Jensen, Richard Jensen, 2005, Fuzzy Sets Syst..

Are More Features Better? A Response to Attributes Reduction Using Fuzzy Rough Sets

Qiang Shen, Richard Jensen, Richard Jensen, 2009, IEEE Transactions on Fuzzy Systems.

Tolerance-based and Fuzzy-Rough Feature Selection

Qiang Shen, Richard Jensen, Richard Jensen, 2007, 2007 IEEE International Fuzzy Systems Conference.

Are More Features Better? A Response to Attributes Reduction Using Fuzzy Rough Sets

Qiang Shen, Richard Jensen, Richard Jensen, 2009, IEEE Transactions on Fuzzy Systems.

Computational Intelligence and Feature Selection - Rough and Fuzzy Approaches

Qiang Shen, Richard Jensen, Richard Jensen, 2008, IEEE Press series on computational intelligence.

Aberystwyth University Hybrid Fuzzy-Rough Rule Induction and Feature Selection

C. Cornelis, Richard Jensen, Q. Shen, 2009 .

Rough Set-Based Feature Selection: A Review

Richard Jensen, Q. Shen, 2007 .

Aberystwyth University Attribute Selection with Fuzzy Decision Reducts

C. Cornelis, D. Ślęzak, Richard Jensen, 2009 .

QSRR modeling for diverse drugs using different feature selection methods coupled with linear and nonlinear regressions.

Richard Jensen, Yvan Vander Heyden, Y. Vander Heyden, 2012, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

Ant colony optimization as a feature selection method in the QSAR modeling of anti-HIV-1 activities of 3-(3,5-dimethylbenzyl)uracil derivatives using MLR, PLS and SVM regressions

Richard Jensen, Matheus P. Freitas, Richard Jensen, 2009 .

Aberystwyth University Survey of Rough and Fuzzy Hybridization

P. Lingras, Richard Jensen, 2007 .

Aberystwyth University Towards scalable fuzzy-rough feature selection

Richard Jensen, N. M. Parthaláin, 2015 .

Combining rough and fuzzy sets for feature selection

Richard Jensen, Richard Jensen, 2004 .

New Approaches to Fuzzy-Rough Feature Selection

Qiang Shen, Richard Jensen, Richard Jensen, 2009, IEEE Transactions on Fuzzy Systems.

Approximation-based feature selection and application for algae population estimation

Qiang Shen, Richard Jensen, Richard Jensen, 2008, Applied Intelligence.

Fuzzy-Rough Sets Assisted Attribute Selection

Qiang Shen, Richard Jensen, Richard Jensen, 2007, IEEE Transactions on Fuzzy Systems.

Fuzzy-Rough Nearest Neighbour Classification

Chris Cornelis, Richard Jensen, C. Cornelis, 2011, Trans. Rough Sets.

Rough sets, their extensions and applications

Qiang Shen, Richard Jensen, Richard Jensen, 2007, Int. J. Autom. Comput..

Performing Feature Selection with ACO

Richard Jensen, Richard Jensen, 2006, Swarm Intelligence in Data Mining.

Feature selection based on rough sets and particle swarm optimization

Xiangyang Wang, Jie Yang, Xiaolong Teng, 2007, Pattern Recognit. Lett..

Enriched ant colony optimization and its application in feature selection

Mohammad Reza Meybodi, Mehrnoush Shamsfard, Rana Forsati, 2014, Neurocomputing.

Fuzzy-Rough Set Bireducts for Data Reduction

Ren Diao, Richard Jensen, Neil Mac Parthaláin, 2020, IEEE Transactions on Fuzzy Systems.

Weighted bee colony algorithm for discrete optimization problems with application to feature selection

Uffe Kock Wiil, Rana Forsati, Richard Jensen, 2015, Eng. Appl. Artif. Intell..

Fuzzy-rough approaches for mammographic risk analysis

Reyer Zwiggelaar, Qiang Shen, Richard Jensen, 2010, Intell. Data Anal..

Feature selection for high dimensional imbalanced class data using harmony search

Kok-Leong Ong, Richard Jensen, Alireza Moayedikia, 2017, Eng. Appl. Artif. Intell..

Towards scalable fuzzy-rough feature selection

Richard Jensen, Neil MacParthalain, Richard Jensen, 2015, Inf. Sci..

Finding rough and fuzzy-rough set reducts with SAT

Qiang Shen, Andrew Tuson, Richard Jensen, 2014, Inf. Sci..

Semantics-preserving dimensionality reduction: rough and fuzzy-rough-based approaches

Qiang Shen, Richard Jensen, Richard Jensen, 2004, IEEE Transactions on Knowledge and Data Engineering.

Survey of Rough and Fuzzy Hybridization

Pawan Lingras, Richard Jensen, P. Lingras, 2007, 2007 IEEE International Fuzzy Systems Conference.

Unsupervised fuzzy-rough set-based dimensionality reduction

Richard Jensen, Neil MacParthalain, Richard Jensen, 2013, Inf. Sci..

Proceedings of the 7th international conference on Rough sets and current trends in computing

Qinghua Hu, Qinghua Hu, Sheela Ramanna, 2010 .

Semi-Supervised Fuzzy-Rough Feature Selection

Chris Cornelis, Sarah Vluymans, Yvan Saeys, 2015, RSFDGrC.

Fuzzy-rough feature selection using flock of starlings optimisation

Richard Jensen, Neil MacParthalain, Richard Jensen, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Heuristic search for fuzzy-rough bireducts and its use in classifier ensembles

Qiang Shen, Ren Diao, Richard Jensen, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Feature grouping-based fuzzy-rough feature selection

Chris Cornelis, Richard Jensen, Neil MacParthalain, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Simultaneous feature and instance selection using fuzzy-rough bireducts

Richard Jensen, Neil MacParthalain, Richard Jensen, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Fuzzy-rough nearest neighbour classification and prediction

Chris Cornelis, Richard Jensen, C. Cornelis, 2011, Theor. Comput. Sci..

Fuzzy-rough instance selection

Chris Cornelis, Richard Jensen, C. Cornelis, 2010, International Conference on Fuzzy Systems.

Attribute selection with fuzzy decision reducts

Chris Cornelis, Dominik Slezak, Richard Jensen, 2010, Inf. Sci..

Hybrid fuzzy-rough rule induction and feature selection

Chris Cornelis, Qiang Shen, Richard Jensen, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Feature selection for aiding glass forensic evidence analysis

Qiang Shen, Richard Jensen, Richard Jensen, 2009, Intell. Data Anal..

A New Approach to Fuzzy-Rough Nearest Neighbour Classification

Chris Cornelis, Richard Jensen, C. Cornelis, 2008, RSCTC.

Rough and Fuzzy-rough methods for mammographic data analysis

Qiang Shen, Richard Jensen, Neil Seosamh MacParthaláin, 2008 .

A noise-tolerant approach to fuzzy-rough feature selection

Chris Cornelis, Richard Jensen, C. Cornelis, 2008, 2008 IEEE International Conference on Fuzzy Systems (IEEE World Congress on Computational Intelligence).

Webpage Classification with ACO-Enhanced Fuzzy-Rough Feature Selection

Qiang Shen, Richard Jensen, Richard Jensen, 2006, RSCTC.

Finding Rough Set Reducts with SAT

Qiang Shen, Andrew Tuson, Richard Jensen, 2005, RSFDGrC.

Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring

Qiang Shen, Richard Jensen, Richard Jensen, 2004, Pattern Recognit..

Centre for Intelligent Systems and Their Applications Fuzzy Rough Attribute Reduction with Application to Web Categorization Fuzzy Rough Attribute Reduction with Application to Web Categorization Fuzzy Sets and Systems ( ) – Fuzzy–rough Attribute Reduction with Application to Web Categorization

Qiang Shen, Richard Jensen, Richard Jensen, 2022 .

Using Fuzzy Dependency-Guided Attribute Grouping in Feature Selection

Qiang Shen, Richard Jensen, Richard Jensen, 2003, RSFDGrC.

Finding Rough Set Reducts with Ant Colony Optimization

Qiang Shen, Richard Jensen, Richard Jensen, 2003 .

Fuzzy-rough sets for descriptive dimensionality reduction

Qiang Shen, Richard Jensen, Richard Jensen, 2002, 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291).

Aiding Fuzzy Rule Induction with Fuzzy Rough Attribute Reduction

Qiang Shen, Richard Jensen, Richard Jensen, 2002 .

A Rough Set-Aided System for Sorting WWW Bookmarks

Qiang Shen, Richard Jensen, Richard Jensen, 2001, Web Intelligence.

Rough and Fuzzy Sets for Dimensionality Reduction

Qiang Shen, Richard Jensen, Richard Jensen, 2001 .

A Distance Measure Approach to Exploring the Rough Set Boundary Region for Attribute Reduction

Qiang Shen, Richard Jensen, Neil MacParthalain, 2010, IEEE Transactions on Knowledge and Data Engineering.

The Importance of Feature Selection

Qiang Shen, Richard Jensen, Richard Jensen, 2008 .

Rough set feature selection and rule induction for prediction of malignancy degree in brain glioma

Xiangyang Wang, Jie Yang, Xiaojun Liu, 2006, Comput. Methods Programs Biomed..

Missing data imputation using fuzzy-rough methods

Mehran Amiri, Richard Jensen, M. Amiri, 2016, Neurocomputing.

Fuzzy Entropy-assisted Fuzzy-Rough Feature Selection

Qiang Shen, Richard Jensen, Neil MacParthalain, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Interval-valued fuzzy-rough feature selection in datasets with missing values

Qiang Shen, Richard Jensen, Richard Jensen, 2009, 2009 IEEE International Conference on Fuzzy Systems.

Ordered Weighted Average Based Fuzzy Rough Sets

Chris Cornelis, Nele Verbiest, Richard Jensen, 2010, RSKT.

Rough Sets and Current Trends in Computing

Marzena Kryszkiewicz, Sheela Ramanna, Qinghua Hu, 2014, Lecture Notes in Computer Science.

Fuzzy rough positive region based nearest neighbour classification

Chris Cornelis, Nele Verbiest, Richard Jensen, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Attribute selection with fuzzy decision reducts

C. Cornelis, D. Ślęzak, Richard Jensen, 2010, Inf. Sci..

Fuzzy-Rough Data Mining

Richard Jensen, Richard Jensen, 2011, RSFDGrC.

Measures for Unsupervised Fuzzy-Rough Feature Selection

Richard Jensen, Neil MacParthalain, Richard Jensen, 2009, 2009 Ninth International Conference on Intelligent Systems Design and Applications.

Richard Jensen, Qiang Shen, 2022 .

Rough Sets and Current Trends in Computing

Marcin S. Szczuka, Qinghua Hu, Marzena Kryszkiewicz, 2010 .