Persistence Software: Bridging Object-Oriented Programming and Relational Databases. - Arthur M. Keller; Richard Jensen; Shailesh Agrawal (SIGMOD Conference, 1993)

A Rough Set-Aided System for Sorting WWW Bookmarks. - Richard Jensen; Qiang Shen 001 (Web Intelligence, 2001)

Fuzzy-rough sets for descriptive dimensionality reduction. - Richard Jensen; Qiang Shen 001 (FUZZ-IEEE, 2002)

Using Fuzzy Dependency-Guided Attribute Grouping in Feature Selection. - Richard Jensen; Qiang Shen 001 (RSFDGrC, 2003)

Fuzzy-rough attribute reduction with application to web categorization. - Richard Jensen; Qiang Shen 001 (Fuzzy Sets Syst., 2004)

Selecting informative features with fuzzy-rough sets and its application for complex systems monitoring. - Qiang Shen 001; Richard Jensen (Pattern Recognit., 2004)

Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based Approaches. - Richard Jensen; Qiang Shen 001 (IEEE Trans. Knowl. Data Eng., 2004)

Finding Rough Set Reducts with SAT. - Richard Jensen; Qiang Shen 001; Andrew Tuson (RSFDGrC (1), 2005)

Fuzzy-rough data reduction with ant colony optimization. - Richard Jensen; Qiang Shen 001 (Fuzzy Sets Syst., 2005)

Combining rough and fuzzy sets for feature selection. - Richard Jensen (2005)

Fuzzy Entropy-assisted Fuzzy-Rough Feature Selection. - Neil Mac Parthaláin; Richard Jensen; Qiang Shen 001 (FUZZ-IEEE, 2006)

Webpage Classification with ACO-Enhanced Fuzzy-Rough Feature Selection. - Richard Jensen; Qiang Shen 001 (RSCTC, 2006)

Rough set feature selection and rule induction for prediction of malignancy degree in brain glioma. - Xiangyang Wang 003; Jie Yang 002; Richard Jensen; Xiaojun Liu (Comput. Methods Programs Biomed., 2006)

Performing Feature Selection with ACO. - Richard Jensen (Swarm Intelligence in Data Mining, 2006)

Tolerance-based and Fuzzy-Rough Feature Selection. - Richard Jensen; Qiang Shen 001 (FUZZ-IEEE, 2007)

Survey of Rough and Fuzzy Hybridization. - Pawan Lingras; Richard Jensen (FUZZ-IEEE, 2007)

Distance Measure Assisted Rough Set Feature Selection. - Neil Mac Parthaláin; Qiang Shen 001; Richard Jensen (FUZZ-IEEE, 2007)

The evaluation of evidence for exponentially distributed data. - C. G. G. Aitken; Qiang Shen 001; Richard Jensen; B. Hayes (Comput. Stat. Data Anal., 2007)

Rough sets, their extensions and applications. - Qiang Shen 001; Richard Jensen (Int. J. Autom. Comput., 2007)

Feature selection based on rough sets and particle swarm optimization. - Xiangyang Wang 003; Jie Yang 002; Xiaolong Teng; Weijun Xia; Richard Jensen (Pattern Recognit. Lett., 2007)

Fuzzy-Rough Sets Assisted Attribute Selection. - Richard Jensen; Qiang Shen 001 (IEEE Trans. Fuzzy Syst., 2007)

Computational Intelligence and Feature Selection - Rough and Fuzzy Approaches. - Richard Jensen; Qiang Shen 001 (IEEE, 2008)

A noise-tolerant approach to fuzzy-rough feature selection. - Chris Cornelis; Richard Jensen (FUZZ-IEEE, 2008)

Finding fuzzy-rough reducts with fuzzy entropy. - Neil Mac Parthaláin; Richard Jensen; Qiang Shen 001 (FUZZ-IEEE, 2008)

A New Approach to Fuzzy-Rough Nearest Neighbour Classification. - Richard Jensen; Chris Cornelis (RSCTC, 2008)

Feature Selection with Fuzzy Decision Reducts. - Chris Cornelis; Germán Hurtado Martín; Richard Jensen; Dominik Slezak (RSKT, 2008)

Approximation-based feature selection and application for algae population estimation. - Qiang Shen 001; Richard Jensen (Appl. Intell., 2008)

Hybrid fuzzy-rough rule induction and feature selection. - Richard Jensen; Chris Cornelis; Qiang Shen 001 (FUZZ-IEEE, 2009)

Interval-valued fuzzy-rough feature selection in datasets with missing values. - Richard Jensen; Qiang Shen 001 (FUZZ-IEEE, 2009)

Feature selection for aiding glass forensic evidence analysis. - Richard Jensen; Qiang Shen 001 (Intell. Data Anal., 2009)

Feature Selection and Linear/Nonlinear Regression Methods for the Accurate Prediction of Glycogen Synthase Kinase-3β Inhibitory Activities. - Mohammad Goodarzi; Matheus P. Freitas; Richard Jensen (J. Chem. Inf. Model., 2009)

New Approaches to Fuzzy-Rough Feature Selection. - Richard Jensen; Qiang Shen 001 (IEEE Trans. Fuzzy Syst., 2009)

Are More Features Better? A Response to Attributes Reduction Using Fuzzy Rough Sets. - Richard Jensen; Qiang Shen 001 (IEEE Trans. Fuzzy Syst., 2009)

Data Reduction with Rough Sets. - Richard Jensen (Encyclopedia of Data Warehousing and Mining, 2009)

Fuzzy-rough instance selection. - Richard Jensen; Chris Cornelis (FUZZ-IEEE, 2010)

Extending propositional satisfiability to determine minimal fuzzy-rough reducts. - Richard Jensen; Andrew Tuson; Qiang Shen 001 (FUZZ-IEEE, 2010)

Ordered Weighted Average Based Fuzzy Rough Sets. - Chris Cornelis; Nele Verbiest; Richard Jensen (RSKT, 2010)

Fuzzy-rough approaches for mammographic risk analysis. - Neil Mac Parthaláin; Richard Jensen; Qiang Shen 001; Reyer Zwiggelaar (Intell. Data Anal., 2010)

Measures for unsupervised fuzzy-rough feature selection. - Neil Mac Parthaláin; Richard Jensen (Int. J. Hybrid Intell. Syst., 2010)

Attribute selection with fuzzy decision reducts. - Chris Cornelis; Richard Jensen; Germán Hurtado Martín; Dominik Slezak (Inf. Sci., 2010)

A Distance Measure Approach to Exploring the Rough Set Boundary Region for Attribute Reduction. - Neil Mac Parthaláin; Qiang Shen 001; Richard Jensen (IEEE Trans. Knowl. Data Eng., 2010)

Fuzzy-rough set based semi-supervised learning. - Neil Mac Parthaláin; Richard Jensen (FUZZ-IEEE, 2011)

Fuzzy-Rough Data Mining. - Richard Jensen (RSFDGrC, 2011)

Fuzzy-rough nearest neighbour classification and prediction. - Richard Jensen; Chris Cornelis (Theor. Comput. Sci., 2011)

Fuzzy-Rough Nearest Neighbour Classification. - Richard Jensen; Chris Cornelis (Trans. Rough Sets, 2011)

Fuzzy rough positive region based nearest neighbour classification. - Nele Verbiest; Chris Cornelis; Richard Jensen (FUZZ-IEEE, 2012)

Simultaneous feature and instance selection using fuzzy-rough bireducts. - Neil Mac Parthaláin; Richard Jensen (FUZZ-IEEE, 2013)

Quality, frequency and similarity based fuzzy nearest neighbor classification. - Nele Verbiest; Chris Cornelis; Richard Jensen (FUZZ-IEEE, 2013)

Unsupervised fuzzy-rough set-based dimensionality reduction. - Neil Mac Parthaláin; Richard Jensen (Inf. Sci., 2013)

Heuristic search for fuzzy-rough bireducts and its use in classifier ensembles. - Ren Diao; Neil Mac Parthaláin; Richard Jensen; Qiang Shen 001 (FUZZ-IEEE, 2014)

Feature grouping-based fuzzy-rough feature selection. - Richard Jensen; Neil Mac Parthaláin; Chris Cornelis (FUZZ-IEEE, 2014)

Nearest Neighbour-Based Fuzzy-Rough Feature Selection. - Richard Jensen; Neil Mac Parthaláin (RSCTC, 2014)

Enriched ant colony optimization and its application in feature selection. - Rana Forsati; Alireza Moayedikia; Richard Jensen; Mehrnoush Shamsfard; Mohammad Reza Meybodi (Neurocomputing, 2014)

Finding rough and fuzzy-rough set reducts with SAT. - Richard Jensen; Andrew Tuson; Qiang Shen 001 (Inf. Sci., 2014)

Discovering fuzzy-rough reducts through Estimation of Distribution Algorithms. - Richard Jensen; Neil Mac Parthaláin (FUZZ-IEEE, 2015)

Fuzzy-rough feature selection using flock of starlings optimisation. - Neil Mac Parthaláin; Richard Jensen (FUZZ-IEEE, 2015)

Semi-Supervised Fuzzy-Rough Feature Selection. - Richard Jensen; Sarah Vluymans; Neil Mac Parthaláin; Chris Cornelis; Yvan Saeys (RSFDGrC, 2015)

Weighted bee colony algorithm for discrete optimization problems with application to feature selection. - Alireza Moayedikia; Richard Jensen; Uffe Kock Wiil; Rana Forsati (Eng. Appl. Artif. Intell., 2015)

Towards scalable fuzzy-rough feature selection. - Richard Jensen; Neil Mac Parthaláin (Inf. Sci., 2015)

Dataset condensation using OWA fuzzy-rough set-based nearest neighbor classifier. - Mehran Amiri; Richard Jensen; Mahdi Eftekhari; Neil Mac Parthaláin (FUZZ-IEEE, 2016)

Missing data imputation using fuzzy-rough methods. - Mehran Amiri; Richard Jensen (Neurocomputing, 2016)

Feature selection for high dimensional imbalanced class data using harmony search. - Alireza Moayedikia; Kok-Leong Ong; Yee Ling Boo; William G. S. Yeoh; Richard Jensen (Eng. Appl. Artif. Intell., 2017)

Effective instance selection using the fuzzy-rough lower approximation. - Richard Jensen; Mehran Amiri; Neil Mac Parthaláin (FUZZ-IEEE, 2019)

Fuzzy-Rough Set Bireducts for Data Reduction. - Neil Mac Parthaláin; Richard Jensen; Ren Diao (IEEE Trans. Fuzzy Syst., 2020)

Noisy Instance Removal Using OWA-Based Fuzzy-Rough Sets. - Richard Jensen; Neil Mac Parthaláin; Mehran Amiri; Jörg Cassens (UKCI, 2022)