Publications

A comprehensive catalogue of peer-reviewed journal papers, conference proceedings, book chapters, and monographs in rough set theory, fuzzy-rough machine learning, and feature selection.

Showing 80 publications
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Feature selection for high-dimensional imbalanced class datasets using Harmony Search and Kullback-Leibler divergence
2026 Journal Article

Feature selection for high-dimensional imbalanced class datasets using Harmony Search and Kullback-Leibler divergence

A. Moayedikia, R. Jensen, and S. Fin. Feature selection for high-dimensional imbalanced class datasets using Harmony Search and Kullback-Leibler divergence. Data Mining and Knowledge Discovery, vol. 40, no. 1, article 6, 2026.
Book
2025 Edited Volume

Rough Sets: International Joint Conference, IJCRS 2025, Chongqing, China, May 11-13, 2025, Proceedings, Part III

Q. Zhang, C. Henry, R. Jensen, X. Gao, G. Wang, J.T. Yao, C. Cornelis, and S. Xia (eds.). Rough Sets: International Joint Conference, IJCRS 2025, Chongqing, China, May 11-13, 2025, Proceedings, Part III. Lecture Notes in Computer Science, vol. 15710, Springer Nature, 2025.
Trust-enhanced POI recommendation algorithm using expectation-maximization
2025 Journal Article

Trust-enhanced POI recommendation algorithm using expectation-maximization

A. Moayedikia, R. Jensen, and A. Samimi. Trust-enhanced POI recommendation algorithm using expectation-maximization. Social Network Analysis and Mining, vol. 16, no. 1, article 17, 2025.
Conf
2022 Conference Paper

Noisy instance removal using OWA-based fuzzy-rough sets

R. Jensen, N. Mac Parthaláin, M. Amiri, and J. Cassens. Noisy instance removal using OWA-based fuzzy-rough sets. In: Panoutsos, G., Mahfouf, M., Mihaylova, L.S. (eds.) Advances in Computational Intelligence Systems (UKCI 2022). Advances in Intelligent Systems and Computing, vol. 1454, pp. 37-48, Springer, Cham, 2022. (Won Best Paper Award)
Conference DOI
Fuzzy-Rough Set Bireducts for Data Reduction
2020 Journal Article

Fuzzy-Rough Set Bireducts for Data Reduction

N. Mac Parthaláin, R. Jensen, and R. Diao. Fuzzy-Rough Set Bireducts for Data Reduction. IEEE Transactions on Fuzzy Systems, vol. 28, no. 8, pp. 1840-1850, 2020.
Conf
2019 Conference Paper

Effective instance selection using the fuzzy-rough lower approximation

R. Jensen, M. Amiri, and N. Mac Parthaláin. Effective instance selection using the fuzzy-rough lower approximation. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019), pp. 1-6, 2019.
Conference DOI
Feature selection for high dimensional imbalanced class data using Harmony Search
2017 Journal Article

Feature selection for high dimensional imbalanced class data using Harmony Search

A. Moayedikia, K.-L. Ong, Y.L. Boo, W. Yeoh, and R. Jensen. Feature selection for high dimensional imbalanced class data using Harmony Search. Engineering Applications of Artificial Intelligence, vol. 57, pp. 38-49, 2017.
Missing data imputation using fuzzy-rough methods
2016 Journal Article

Missing data imputation using fuzzy-rough methods

M. Amiri and R. Jensen. Missing data imputation using fuzzy-rough methods. Neurocomputing, vol. 205, pp. 152-164, 2016.
Conf
2016 Conference Paper

Dataset condensation using OWA fuzzy-rough set-based nearest neighbor classifier

M. Amiri, R. Jensen, M. Eftekhari, and N. Mac Parthaláin. Dataset condensation using OWA fuzzy-rough set-based nearest neighbor classifier. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2016), pp. 1934-1941, 2016.
Conference DOI
Towards Scalable Fuzzy-Rough Feature Selection
2015 Journal Article

Towards Scalable Fuzzy-Rough Feature Selection

R. Jensen and N. Mac Parthaláin. Towards Scalable Fuzzy-Rough Feature Selection. Information Sciences, vol. 323, pp. 1-15, 2015.
Weighted bee colony algorithm for discrete optimization problems with application to feature selection
2015 Journal Article

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

A. Moayedikia, R. Jensen, U.K. Wiil, and R. Forsati. Weighted bee colony algorithm for discrete optimization problems with application to feature selection. Engineering Applications of Artificial Intelligence, vol. 44, pp. 153-167, 2015.
Publisher DOI
Conf
2015 Conference Paper

Semi-Supervised Fuzzy-Rough Feature Selection

R. Jensen, S. Vluymans, N. Mac Parthaláin, C. Cornelis, and Y. Saeys. Semi-Supervised Fuzzy-Rough Feature Selection. Proceedings of the International Joint Conference on Rough Sets (IJCRS 2015), Lecture Notes in Computer Science, vol. 9437, pp. 185-195, 2015.
Conference DOI
Conf
2015 Conference Paper

Discovering Fuzzy-Rough Reducts through Estimation of Distribution Algorithms

R. Jensen and N. Mac Parthaláin. Discovering Fuzzy-Rough Reducts through Estimation of Distribution Algorithms. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), pp. 1-8, 2015.
Conference DOI
Conf
2015 Conference Paper

Fuzzy-Rough Feature Selection using Flock of Starlings Optimisation

N. Mac Parthaláin and R. Jensen. Fuzzy-Rough Feature Selection using Flock of Starlings Optimisation. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2015), pp. 1-8, 2015.
Conference DOI
Enriched ant colony optimization and its application in feature selection
2014 Journal Article

Enriched ant colony optimization and its application in feature selection

R. Forsati, A. Moayedikia, R. Jensen, M. Shamsfard, and M.R. Meybodi. Enriched ant colony optimization and its application in feature selection. Neurocomputing, vol. 142, pp. 354-371, 2014.
Finding Rough and Fuzzy-Rough Set Reducts with SAT
2014 Journal Article

Finding Rough and Fuzzy-Rough Set Reducts with SAT

R. Jensen, A. Tuson, and Q. Shen. Finding Rough and Fuzzy-Rough Set Reducts with SAT. Information Sciences, vol. 255, pp. 100-120, 2014.
Fuzzy-rough data mining
2014 Book Chapter

Fuzzy-rough data mining

R. Jensen. Fuzzy-rough data mining. Encyclopedia of Business Analytics and Optimization, IGI Global, pp. 1005-1012, 2014.
Publisher DOI
Conf
2014 Conference Paper

Nearest Neighbour-Based Fuzzy-Rough Feature Selection

R. Jensen and N. Mac Parthaláin. Nearest Neighbour-Based Fuzzy-Rough Feature Selection. Proceedings of the 9th International Conference on Rough Sets and Current Trends in Computing (RSCTC 2014), Lecture Notes in Computer Science, vol. 8536, pp. 35-46, 2014.
Conference DOI
Conf
2014 Conference Paper

Feature Grouping-Based Fuzzy-Rough Feature Selection

R. Jensen, N. Mac Parthaláin, and C. Cornelis. Feature Grouping-Based Fuzzy-Rough Feature Selection. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), pp. 1488-1495, 2014.
Conference DOI
Conf
2014 Conference Paper

Heuristic Search for Fuzzy-Rough Bireducts and its Use in Classifier Ensembles

R. Diao, N. Mac Parthaláin, R. Jensen, and Q. Shen. Heuristic Search for Fuzzy-Rough Bireducts and its Use in Classifier Ensembles. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), pp. 1504-1511, 2014.
Conference DOI
Unsupervised Fuzzy-Rough Set-based Dimensionality Reduction
2013 Journal Article

Unsupervised Fuzzy-Rough Set-based Dimensionality Reduction

N. Mac Parthaláin and R. Jensen. Unsupervised Fuzzy-Rough Set-based Dimensionality Reduction. Information Sciences, vol. 229, pp. 106-121, 2013.
Conf
2013 Conference Paper

Simultaneous feature and instance selection using fuzzy-rough bireducts

N. Mac Parthaláin and R. Jensen. Simultaneous feature and instance selection using fuzzy-rough bireducts. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), pp. 1-8, 2013.
Conf
2013 Conference Paper

Quality, Frequency and Similarity Based Fuzzy Nearest Neighbor Classification

N. Verbiest, C. Cornelis, and R. Jensen. Quality, Frequency and Similarity Based Fuzzy Nearest Neighbor Classification. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), pp. 1-8, 2013.
QSRR modeling for diverse drugs using different feature selection methods coupled with linear and nonlinear regressions
2012 Journal Article

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

M. Goodarzi, R. Jensen, and Y. Vander Heyden. QSRR modeling for diverse drugs using different feature selection methods coupled with linear and nonlinear regressions. Journal of Chromatography B, vol. 910, pp. 84-94, 2012.
Conf
2012 Conference Paper

Fuzzy Rough Positive Region-based Nearest Neighbour Classification

N. Verbiest, C. Cornelis, and R. Jensen. Fuzzy Rough Positive Region-based Nearest Neighbour Classification. Proceedings of the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), pp. 1-7, 2012.
Fuzzy-Rough Nearest Neighbour Classification and Prediction
2011 Journal Article

Fuzzy-Rough Nearest Neighbour Classification and Prediction

R. Jensen and C. Cornelis. Fuzzy-Rough Nearest Neighbour Classification and Prediction. Theoretical Computer Science, vol. 412, no. 42, pp. 5871-5884, 2011.
Fuzzy-Rough Nearest Neighbour Classification
2011 Journal Article

Fuzzy-Rough Nearest Neighbour Classification

R. Jensen and C. Cornelis. Fuzzy-Rough Nearest Neighbour Classification. Transactions on Rough Sets XIII, Lecture Notes in Computer Science (LNCS 6499), pp. 56-72, 2011.
Conf
2011 Conference Paper

Fuzzy-rough data mining

R. Jensen. Fuzzy-rough data mining (tutorial paper). Proceedings of the 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2011), Lecture Notes in Computer Science (LNCS 6743), pp. 31-35, 2011.
Conference DOI
Conf
2011 Conference Paper

Fuzzy-Rough Set based Semi-Supervised Learning

N. Mac Parthaláin and R. Jensen. Fuzzy-Rough Set based Semi-Supervised Learning. Proceedings of the 20th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 2465-2472, 2011.
Conf
2011 Conference Paper

Fuzzy rough set as feature selection for QSAR modeling of 2,4,5-trisubstituted imidazoles, nontoxic modulators of P-glycoprotein mediated multidrug resistance

M. Goodarzi, S. Funar-Timofei, B. Dejaegher, R. Jensen, and Y. Vander Heyden. Fuzzy rough set as feature selection for QSAR modeling of 2,4,5-trisubstituted imidazoles, nontoxic modulators of P-glycoprotein mediated multidrug resistance. 12th Scandinavian Symposium on Chemometrics (SSC12), 2011.
Open Repository
Rough Sets and Current Trends in Computing - 7th International Conference, RSCTC 2010, Warsaw, Poland, June 28-30, 2010, Proceedings
2010 Edited Volume

Rough Sets and Current Trends in Computing - 7th International Conference, RSCTC 2010, Warsaw, Poland, June 28-30, 2010, Proceedings

Marcin S. Szczuka, Marzena Kryszkiewicz, Sheela Ramanna, Richard Jensen, and Qinghua Hu (eds.). Rough Sets and Current Trends in Computing - 7th International Conference, RSCTC 2010, Warsaw, Poland, June 28-30, 2010, Proceedings. Lecture Notes in Computer Science, vol. 6086, Springer, 2010.
Springer DOI
Attribute Selection with Fuzzy Decision Reducts
2010 Journal Article

Attribute Selection with Fuzzy Decision Reducts

C. Cornelis, R. Jensen, G. Hurtado Martín, and D. Ślęzak. Attribute Selection with Fuzzy Decision Reducts. Information Sciences, vol. 180, no. 2, pp. 209-224, 2010.
A Distance Measure Approach to Exploring the Rough Set Boundary Region for Attribute Reduction
2010 Journal Article

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

N. Mac Parthaláin, Q. Shen, and R. Jensen. A Distance Measure Approach to Exploring the Rough Set Boundary Region for Attribute Reduction. IEEE Transactions on Knowledge and Data Engineering, vol. 22, no. 3, pp. 306-317, 2010.
Fuzzy-rough approaches for mammographic risk analysis
2010 Journal Article

Fuzzy-rough approaches for mammographic risk analysis

N. Mac Parthaláin, R. Jensen, Q. Shen, and R. Zwiggelaar. Fuzzy-rough approaches for mammographic risk analysis. Intelligent Data Analysis, vol. 14, no. 2, pp. 225-244, 2010.
Measures for unsupervised fuzzy-rough feature selection
2010 Journal Article

Measures for unsupervised fuzzy-rough feature selection

N. Mac Parthaláin and R. Jensen. Measures for unsupervised fuzzy-rough feature selection. International Journal of Hybrid Intelligent Systems, vol. 7, no. 4, pp. 249-259, 2010.
Conf
2010 Conference Paper

Ordered Weighted Average Based Fuzzy Rough Sets

C. Cornelis, N. Verbiest, and R. Jensen. Ordered Weighted Average Based Fuzzy Rough Sets. Proceedings of the 5th International Conference on Rough Sets and Knowledge Technology (RSKT 2010), Lecture Notes in Computer Science (LNCS 6401), pp. 78-85, 2010. (Won Best Paper Award)
Conf
2010 Conference Paper

Extending Propositional Satisfiability to Determine Minimal Fuzzy-Rough Reducts

R. Jensen, A. Tuson, and Q. Shen. Extending Propositional Satisfiability to Determine Minimal Fuzzy-Rough Reducts. Proceedings of the 19th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010), pp. 1415-1422, 2010.
Conf
2010 Conference Paper

Fuzzy-rough instance selection

R. Jensen and C. Cornelis. Fuzzy-rough instance selection. Proceedings of the 19th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010), pp. 1776-1782, 2010.
New Approaches to Fuzzy-Rough Feature Selection
2009 Journal Article

New Approaches to Fuzzy-Rough Feature Selection

R. Jensen and Q. Shen. New Approaches to Fuzzy-Rough Feature Selection. IEEE Transactions on Fuzzy Systems, vol. 17, no. 4, pp. 824-838, 2009.
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 regression
2009 Journal Article

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 regression

M. Goodarzi, M.P. Freitas, and R. Jensen. 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 regression. Chemometrics and Intelligent Laboratory Systems, vol. 98, no. 2, pp. 123-129, 2009.
Feature Selection and Linear/Nonlinear Regression Methods for the Accurate Prediction of Glycogen Synthase Kinase-3β Inhibitory Activities
2009 Journal Article

Feature Selection and Linear/Nonlinear Regression Methods for the Accurate Prediction of Glycogen Synthase Kinase-3β Inhibitory Activities

M. Goodarzi, M.P. Freitas, and R. Jensen. Feature Selection and Linear/Nonlinear Regression Methods for the Accurate Prediction of Glycogen Synthase Kinase-3β Inhibitory Activities. Journal of Chemical Information and Modeling, vol. 49, no. 4, pp. 824-832, 2009.
Publisher DOI
Are More Features Better? A Response to Attributes Reduction Using Fuzzy Rough Sets
2009 Journal Article

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

R. Jensen and Q. Shen. Are More Features Better? A Response to Attributes Reduction Using Fuzzy Rough Sets. IEEE Transactions on Fuzzy Systems, vol. 17, no. 6, pp. 1456-1458, 2009.
Feature Selection for Aiding Glass Forensic Evidence Analysis
2009 Journal Article

Feature Selection for Aiding Glass Forensic Evidence Analysis

R. Jensen and Q. Shen. Feature Selection for Aiding Glass Forensic Evidence Analysis. Intelligent Data Analysis, vol. 13, no. 5, pp. 703-723, 2009.
Conf
2009 Conference Paper

Measures for Unsupervised Fuzzy-Rough Feature Selection

N. Mac Parthaláin and R. Jensen. Measures for Unsupervised Fuzzy-Rough Feature Selection. Proceedings of the 9th International Conference on Intelligent Systems Design and Applications (ISDA 2009), pp. 560-565, 2009.
Conf
2009 Conference Paper

Hybrid Fuzzy-Rough Rule Induction and Feature Selection

R. Jensen, C. Cornelis, and Q. Shen. Hybrid Fuzzy-Rough Rule Induction and Feature Selection. Proceedings of the 18th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009), pp. 1151-1156, 2009.
Conf
2009 Conference Paper

Interval-valued Fuzzy-Rough Feature Selection in Datasets with Missing Values

R. Jensen and Q. Shen. Interval-valued Fuzzy-Rough Feature Selection in Datasets with Missing Values. Proceedings of the 18th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2009), pp. 610-615, 2009.
Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches
2008 Research Monograph

Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches

R. Jensen and Q. Shen. Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches. IEEE Press / John Wiley & Sons, 348 pages, ISBN: 978-0-470-22975-0, 2008.
Publisher DOI Wiley Amazon
Approximation-based feature selection and application for algae population estimation
2008 Journal Article

Approximation-based feature selection and application for algae population estimation

Q. Shen and R. Jensen. Approximation-based feature selection and application for algae population estimation. Applied Intelligence, vol. 28, no. 2, pp. 167-181, 2008.
Data Reduction with Rough Sets
2008 Book Chapter

Data Reduction with Rough Sets

R. Jensen and Q. Shen. Data Reduction with Rough Sets. Encyclopedia of Data Warehousing and Mining - 2nd Edition, vol. II, pp. 556-560, IGI Global, 2008.
Conf
2008 Conference Paper

A New Approach to Fuzzy-Rough Nearest Neighbour Classification

R. Jensen and C. Cornelis. A New Approach to Fuzzy-Rough Nearest Neighbour Classification. Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing (RSCTC 2008), Lecture Notes in Computer Science (LNAI 5306), pp. 310-319, 2008.
Conf
2008 Conference Paper

A Noise-tolerant Approach to Fuzzy-Rough Feature Selection

C. Cornelis and R. Jensen. A Noise-tolerant Approach to Fuzzy-Rough Feature Selection. Proceedings of the 17th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008), pp. 1598-1605, 2008.
Conf
2008 Conference Paper

Finding Fuzzy-rough Reducts with Fuzzy Entropy

N. Mac Parthaláin, R. Jensen, and Q. Shen. Finding Fuzzy-rough Reducts with Fuzzy Entropy. Proceedings of the 17th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008), pp. 1282-1288, 2008.
Conf
2008 Conference Paper

Feature Selection with Fuzzy Decision Reducts

C. Cornelis, G. Hurtado Martín, R. Jensen, and D. Ślęzak. Feature Selection with Fuzzy Decision Reducts. Proceedings of the Third International Conference on Rough Sets and Knowledge Technology (RSKT 2008), Lecture Notes in Computer Science (LNCS 5009), pp. 284-291, 2008.
Conference DOI
Conf
2008 Conference Paper

Interval-valued Fuzzy-Rough Feature Selection and Application for Handling Missing Values in Datasets

R. Jensen and Q. Shen. Interval-valued Fuzzy-Rough Feature Selection and Application for Handling Missing Values in Datasets. Proceedings of the 8th Annual UK Workshop on Computational Intelligence (UKCI 2008), 2008.
Conf
2008 Conference Paper

Rough and fuzzy-rough methods for mammographic data analysis

N. Mac Parthaláin, R. Jensen, and Q. Shen. Rough and fuzzy-rough methods for mammographic data analysis. Proceedings of the 8th Annual UK Workshop on Computational Intelligence (UKCI 2008), 2008.
Fuzzy-Rough Sets Assisted Attribute Selection
2007 Journal Article

Fuzzy-Rough Sets Assisted Attribute Selection

R. Jensen and Q. Shen. Fuzzy-Rough Sets Assisted Attribute Selection. IEEE Transactions on Fuzzy Systems, vol. 15, no. 1, pp. 73-89, 2007.
Feature Selection based on Rough Sets and Particle Swarm Optimization
2007 Journal Article

Feature Selection based on Rough Sets and Particle Swarm Optimization

X. Wang, J. Yang, X. Teng, W. Xia, and R. Jensen. Feature Selection based on Rough Sets and Particle Swarm Optimization. Pattern Recognition Letters, vol. 28, no. 4, pp. 459-471, 2007. (Won 2010 Most Cited Paper Award for Pattern Recognition Letters)
The evaluation of evidence for exponentially distributed data
2007 Journal Article

The evaluation of evidence for exponentially distributed data

C.G.G. Aitken, Q. Shen, R. Jensen, and B. Hayes. The evaluation of evidence for exponentially distributed data. Computational Statistics & Data Analysis, vol. 51, no. 12, pp. 5682-5693, 2007.
Rough sets, their extensions and applications
2007 Journal Article

Rough sets, their extensions and applications

Q. Shen and R. Jensen. Rough sets, their extensions and applications. International Journal of Automation and Computing (IJAC), vol. 4, no. 3, pp. 217-218, 2007.
Rough set based feature selection: A review
2007 Book Chapter

Rough set based feature selection: A review

R. Jensen and Q. Shen. Rough set based feature selection: A review. Rough Computing: Theories, Technologies and Applications, IGI Global, pp. 70-107, 2007. (Invited)
Conf
2007 Conference Paper

Survey of Rough and Fuzzy Hybridization

P. Lingras and R. Jensen. Survey of Rough and Fuzzy Hybridization. Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), pp. 125-130, 2007.
Conf
2007 Conference Paper

Tolerance-based and Fuzzy-Rough Feature Selection

R. Jensen and Q. Shen. Tolerance-based and Fuzzy-Rough Feature Selection. Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), pp. 877-882, 2007.
Conf
2007 Conference Paper

Distance Measure Assisted Rough Set Feature Selection

N. Mac Parthaláin, Q. Shen, and R. Jensen. Distance Measure Assisted Rough Set Feature Selection. Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), pp. 1084-1089, 2007.
Rough Set Feature Selection and Rule Induction for Prediction of Malignancy Degree in Brain Glioma
2006 Journal Article

Rough Set Feature Selection and Rule Induction for Prediction of Malignancy Degree in Brain Glioma

X. Wang, J. Yang, R. Jensen, and X. Liu. Rough Set Feature Selection and Rule Induction for Prediction of Malignancy Degree in Brain Glioma. Computer Methods and Programs in Biomedicine, vol. 83, no. 2, pp. 147-156, 2006.
Performing Feature Selection with ACO
2006 Book Chapter

Performing Feature Selection with ACO

R. Jensen. Performing Feature Selection with ACO. In: A. Abraham, C. Grosan, and V. Ramos (eds.), Swarm Intelligence and Data Mining, Studies in Computational Intelligence, vol. 34, pp. 45-73, Springer, 2006.
Conf
2006 Conference Paper

Webpage Classification with ACO-enhanced Fuzzy-Rough Feature Selection

R. Jensen and Q. Shen. Webpage Classification with ACO-enhanced Fuzzy-Rough Feature Selection. Proceedings of the Fifth International Conference on Rough Sets and Current Trends in Computing (RSCTC 2006), Lecture Notes in Computer Science (LNAI 4259), pp. 147-156, 2006.
Conf
2006 Conference Paper

Fuzzy entropy-assisted fuzzy-rough feature selection

N. Mac Parthaláin, R. Jensen, and Q. Shen. Fuzzy entropy-assisted fuzzy-rough feature selection. Proceedings of the 15th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2006), pp. 423-430, 2006.
Conf
2006 Conference Paper

Comparing Fuzzy-Rough and Fuzzy Entropy-assisted Fuzzy-Rough Feature Selection

N. Mac Parthaláin, R. Jensen, and Q. Shen. Comparing Fuzzy-Rough and Fuzzy Entropy-assisted Fuzzy-Rough Feature Selection. Proceedings of the 6th Annual UK Workshop on Computational Intelligence (UKCI 2006), pp. 233-240, 2006.
Open Repository
Fuzzy-Rough Data Reduction with Ant Colony Optimization
2005 Journal Article

Fuzzy-Rough Data Reduction with Ant Colony Optimization

R. Jensen and Q. Shen. Fuzzy-Rough Data Reduction with Ant Colony Optimization. Fuzzy Sets and Systems, vol. 149, no. 1, pp. 5-20, 2005.
Conf
2005 Conference Paper

Finding Rough Set Reducts with SAT

R. Jensen, Q. Shen, and A. Tuson. Finding Rough Set Reducts with SAT. Proceedings of the 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2005), Lecture Notes in Computer Science (LNAI 3641), pp. 194-203, 2005.
Conf
2005 Conference Paper

Fuzzy-Rough Feature Significance for Fuzzy Decision Trees

R. Jensen and Q. Shen. Fuzzy-Rough Feature Significance for Fuzzy Decision Trees. Proceedings of the 5th Annual UK Workshop on Computational Intelligence (UKCI 2005), pp. 89-96, 2005.
Open Repository
Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough Based Approaches
2004 Journal Article

Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough Based Approaches

R. Jensen and Q. Shen. Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough Based Approaches. IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 12, pp. 1457-1471, 2004.
Selecting Informative Features with Fuzzy-Rough Sets and its Application for Complex Systems Monitoring
2004 Journal Article

Selecting Informative Features with Fuzzy-Rough Sets and its Application for Complex Systems Monitoring

Q. Shen and R. Jensen. Selecting Informative Features with Fuzzy-Rough Sets and its Application for Complex Systems Monitoring. Pattern Recognition, vol. 37, no. 7, pp. 1351-1363, 2004.
Fuzzy-Rough Attribute Reduction with Application to Web Categorization
2004 Journal Article

Fuzzy-Rough Attribute Reduction with Application to Web Categorization

R. Jensen and Q. Shen. Fuzzy-Rough Attribute Reduction with Application to Web Categorization. Fuzzy Sets and Systems, vol. 141, no. 3, pp. 469-485, 2004.
Conf
2003 Conference Paper

Using Fuzzy Dependency-Guided Attribute Grouping in Feature Selection

R. Jensen and Q. Shen. Using Fuzzy Dependency-Guided Attribute Grouping in Feature Selection. Proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2003), Lecture Notes in Computer Science (LNAI 2639), pp. 250-254, 2003.
Conference DOI
Conf
2003 Conference Paper

Finding Rough Set Reducts with Ant Colony Optimization

R. Jensen and Q. Shen. Finding Rough Set Reducts with Ant Colony Optimization. Proceedings of the 2003 UK Workshop on Computational Intelligence (UKCI 2003), pp. 15-22, 2003.
Conf
2002 Conference Paper

Fuzzy-Rough Sets for Descriptive Dimensionality Reduction

R. Jensen and Q. Shen. Fuzzy-Rough Sets for Descriptive Dimensionality Reduction. Proceedings of the 11th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2002), vol. 1, pp. 29-34, 2002.
Conference DOI
Conf
2002 Conference Paper

Aiding Fuzzy Rule Induction with Fuzzy-Rough Attribute Reduction

R. Jensen and Q. Shen. Aiding Fuzzy Rule Induction with Fuzzy-Rough Attribute Reduction. Proceedings of the 2002 UK Workshop on Computational Intelligence (UKCI 2002), pp. 81-88, 2002.
Conf
2001 Conference Paper

A Rough Set-Aided System for Sorting WWW Bookmarks

R. Jensen and Q. Shen. A Rough Set-Aided System for Sorting WWW Bookmarks. In: N. Zhong et al. (eds.), Web Intelligence: Research and Development (WI 2001), Lecture Notes in Computer Science (LNAI 2198), pp. 95-105, 2001.
Conference DOI
Conf
2001 Conference Paper

Rough and fuzzy sets for dimensionality reduction

R. Jensen and Q. Shen. Rough and fuzzy sets for dimensionality reduction. Proceedings of the 2001 UK Workshop on Computational Intelligence (UKCI 2001), pp. 69-74, 2001.