Richard Jensen BSc (Lancaster), MSc (Edinburgh), PhD (Edinburgh)

Lecturer

Contact Details

Room Number..........:  C44
Building....................:  Llandinam
Phone.......................:   +44 (0)1970 628510
E-Mail........................:   rkj
Home Page...............:   Personal

External Publication Websites:
Google Scholar
ResearchGate

Research Groups

Teaching Areas

Modules Taught

  • CS26520: Artificial Intelligence
  • CSM6120: Fundamentals of Intelligent Systems
  • SEM6120: Fundamentals of Intelligent Systems

Publications

Feature selection for high dimensional imbalanced class data using harmony searchMoayedikia, A., Ong, K-L., Boo, Y. L., Yeoh, W. G. S. & Jensen, R. 2017 In : Engineering Applications of Artificial Intelligence.57, p. 38-49
Missing data imputation using fuzzy-rough methodsAmiri, M. & Jensen, R. 2016 In : Neurocomputing.205, p. 152-164
Dataset condensation using OWA fuzzy-rough set-based nearest neighbor classifierAmiri, M., Jensen, R., Eftekhari, M. & MacParthaláin, N. 2016 2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE).IEEE Press, p. 1934-19418 p. (IEEE International Fuzzy Systems Conference Proceedings)
Semi-Supervised Fuzzy-Rough Feature SelectionJensen, R., Vluymans, S., MacParthalain, N., Cornelis, C. & Saeys, Y. 2015 Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 15th International Conference, RSFDGrC. Yao, Y., Hu, Q., Yu, H. & Grzymala-Busse, J. W. (eds.). Springer Nature, p. 185-19511 p. (Lecture Notes in Artificial Intelligence; vol. 9437)
Towards scalable fuzzy-rough feature selectionJensen, R. & MacParthalain, N. 2015 In : Information Sciences.323, p. 1-1515 p., 11619
Weighted bee colony algorithm for discrete optimization problems with application to feature selectionMoayedikia, A., Jensen, R., Wiil, U. K. & Forsati, R. 2015 In : Engineering Applications of Artificial Intelligence.44, p. 153-16715 p.
Discovering Fuzzy-Rough Reducts through Estimation of Distribution AlgorithmsJensen, R. & MacParthalain, N. 2015 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Yazici, A., Pal, N. R., Kaymak, U., Martin, T., Ishibuchi, H., Lin, C. T., Sousa, J. M. C. & Tutmez, B. (eds.). IEEE Press, p. 1-88 p. (IEEE International Fuzzy Systems Conference Proceedings)
Fuzzy-Rough Feature Selection using Flock of Starlings OptimisationMacParthalain, N. & Jensen, R. 2015 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Yazici, A., Pal, N. R., Kaymak, U., Martin, T., Ishibuchi, H., Lin, C. T., Sousa, J. M. C. & Tutmez, B. (eds.). IEEE Press, 8 p. (IEEE International Fuzzy Systems Conference Proceedings)
Enriched ant colony optimization and its application in feature selectionForsati, R., Moayedikia, A., Jensen, R., Shamsfard, M. & Meybodi, M. R. 2014 In : Neurocomputing.142, p. 354-37118 p.
Finding rough and fuzzy-rough set reducts with SATJensen, R., Tuson, A. & Shen, Q. 2014 In : Information Sciences.255, p. 100-120
Nearest neighbour-based fuzzy-rough feature selectionJensen, R. & MacParthaláin, N. S. 2014 Rough Sets and Current Trends in Soft Computing: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Cornelis, C., Kryszkiewicz, M., Slezak, D., Menasalvas Ruiz, E., Bello, R. & Shang, L. (eds.). Springer Nature, Vol. 8536 LNAI, p. 35-4612 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8536 LNAI)
Heuristic search for fuzzy-rough bireducts and its use in classifier ensemblesDiao, R., MacParthalain, N., Jensen, R. & Shen, Q. 2014 IEEE International Conference on Fuzzy Systems.IEEE Press, p. 1504-15118 p. 6891819
Feature Grouping-Based Fuzzy-Rough Feature SelectionJensen, R., MacParthalain, N. & Cornelis, C. 2014 2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE). NEW YORK: IEEE Press, p. 1488-14958 p. (IEEE International Fuzzy Systems Conference Proceedings)
Simultaneous feature and instance selection using fuzzy-rough bireductsMacParthaláin, N. S. & Jensen, R. 2013 Proceedings of the 22nd IEEE International Conference on Fuzzy Systems.IEEE Press
Unsupervised fuzzy-rough set-based dimensionality reductionMacParthaláin, N. S. & Jensen, R. 2013 In : Information Sciences.229, p. 106-12116 p.
Quality, Frequency and Similarity Based Fuzzy Nearest Neighbor ClassificationVerbiest, N., Cornelis, C. & Jensen, R. 2013 2013 IEEE International Conference on Fuzzy Systems (FUZZ).IEEE Press, p. 1-8
QSRR modeling for diverse drugs using different feature selection methods coupled with linear and nonlinear regressionsGoodarzi, M., Jensen, R. & Vander Heyden, Y. 2012 In : Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences.910, p. 84-9411 p.
Fuzzy Rough Positive Region based Nearest Neighbour ClassificationVerbiest, N., Cornelis, C. & Jensen, R. 2012 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). NEW YORK: IEEE Press, p. 1961-19677 p.
Fuzzy-Rough Nearest Neighbour Classification and PredictionCornelis, C. & Jensen, R. 2011 In : Theoretical Computer Science.412, 42, p. 5871-588414 p.
Fuzzy rough set as feature selection for QSAR modeling of 2,4,5-trisubstituted imidazoles, nontoxic modulators of P-glycoprotein mediated multidrug resistanceVander Heyden, Y., Dejaegher, B., Jensen, R., Funar-Timofei, S. & Goodarzi, M. 2011
Fuzzy-Rough Set based Semi-Supervised LearningMacParthalain, N. & Jensen, R. 2011 2011 IEEE International Conference on Fuzzy Systems (FUZZ).p. 2465-24727 p.
A New Approach to Fuzzy-Rough Nearest Neighbour ClassificationJensen, R. & Cornelis, C. 2011 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing.p. 310-31910 p.
Fuzzy-Rough Nearest Neighbour ClassificationJensen, R. & Cornelis, C. 2011 In : Transactions on Rough Sets.XIII, p. 56-7217 p.
Fuzzy-rough data miningJensen, R. 2011
Ordered Weighted Average Based Fuzzy Rough SetsJensen, R., Verbiest, N. & Cornelis, C. 2010 p. 78-858 p.
Fuzzy-rough approaches for mammographic risk analysisMacParthaláin, N. S., Jensen, R., Shen, Q. & Zwiggelaar, R. 2010 In : Intelligent Data Analysis.14, 2, p. 225-24420 p.
A Distance Measure Approach to Exploring the Rough Set Boundary Region for Attribute ReductionMacParthaláin, N. S., Shen, Q. & Jensen, R. 2010 In : IEEE Transactions on Knowledge and Data Engineering.22, 3, p. 306-31712 p.
Attribute Selection with Fuzzy Decision ReductsCornelis, C., Jensen, R., Hurtado, G. & Slezak, D. 2010 In : Information Sciences.180, 2, p. 209-22416 p.
Fuzzy-rough instance selectionJensen, R. & Cornelis, C. 2010 p. 1776-17827 p.
Extending Propositional Satisfiability to Determine Minimal Fuzzy-Rough ReductsTuson, A., Shen, Q. & Jensen, R. 2010 p. 1415-14228 p.
Rough Sets and Current Trends in Computing: 7th International Conference, RSCTC 2010, Warsaw, Poland, June 28-30,2010. ProceedingsSzczuka, M. (ed.), Kryszkiewicz, M. (ed.), Ramanna, S. (ed.), Jensen, R. (ed.) & Hu, Q. (ed.) 2010 Springer Nature. 771 p. (Lecture Notes in Computer Science; vol. 6086 2010)
Measures for unsupervised fuzzy-rough feature selectionMacParthaláin, N. S. & Jensen, R. 2010 In : International Journal of Hybrid Intelligent Systems.7, 4, p. 249-25911 p.
Are More Features Better?: A Response to Attributes Reduction Using Fuzzy Rough SetsJensen, R. & Shen, Q. 2009 In : IEEE Transactions on Fuzzy Systems.17, 6, p. 1456-14583 p.
Measures for Unsupervised Fuzzy-Rough Feature SelectionMacParthaláin, N. S. & Jensen, R. 2009 9th International Conference on Intelligent Systems Design and Applications (ISDA'09) Event: Conference.4 ed.IEEE Press, Vol. 7, p. 249-25911 p.
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 regressionGoodarzi, M., Freitas, M. P. & Jensen, R. 2009 In : Chemometrics and Intelligent Laboratory Systems.89, 2, p. 123-1297 p.
New approaches to fuzzy-rough feature selectionJensen, R. & Shen, Q. 2009 In : IEEE Transactions on Fuzzy Systems.17, 4, p. 824-83815 p.
Feature Selection and Linear/Nonlinear Regression Methods for the Accurate Prediction of Glycogen Synthase Kinase-3β Inhibitory ActivitiesGoodarzi, M., Freitas, M. P. & Jensen, R. 2009 In : Journal of Chemical Information and Modeling.49, 4, p. 824-8329 p.
Hybrid Fuzzy-Rough Rule Induction and Feature SelectionCornelis, C., Jensen, R. & Shen, Q. 2009 p. 1151-11566 p.
Feature Selection for Aiding Glass Forensic Evidence AnalysisShen, Q. & Jensen, R. 2009 In : Intelligent Data Analysis.13, 5, p. 703-72321 p.
Interval-valued Fuzzy-Rough Feature Selection in Datasets with Missing ValuesJensen, R. & Shen, Q. 2009 Proceedings of the 18th International Conference on Fuzzy Systems.p. 610-6156 p.
Computational Intelligence and Feature Selection: Rough and Fuzzy ApproachesJensen, R. & Shen, Q. 2008 Wiley. 339 p.
Rough and Fuzzy-rough methods for mammographic data analysisShen, Q., MacParthaláin, N. S. & Jensen, R. 2008 Proceedings of the 8th Annual UK Workshop on Computational Intelligence.
Finding Fuzzy-rough Reducts with Fuzzy EntropyMacParthaláin, N. S., Jensen, R. & Shen, Q. 2008 p. 1282-12887 p.
Approximation-based feature selection and application for algae population estimationShen, Q. & Jensen, R. 2008 In : Applied Intelligence.28, 2, p. 167-18115 p.
Data Reduction with Rough SetsShen, Q. & Jensen, R. 2008 Encyclopedia of Data Warehousing and Mining - 2nd Edition.2nd ed.IGI Global, p. 556-5605 p.
A Noise-tolerant Approach to Fuzzy-Rough Feature SelectionJensen, R. & Cornelis, C. 2008 17th International Conference on Fuzzy Systems (FUZZ-IEEE'08).
Feature Selection with Fuzzy Decision ReductsCornelis, C., Hurtado Martín, G., Jensen, R. & Ślȩzak, D. 2008 Rough Sets and Knowledge Technology. Wang, G., Li, T., Grzymala-Busse, J. W., Miao, D., Skowron, A. & Yao, Y. (eds.). Springer Nature, Vol. 5009, p. 284-2918 p. (Lecture Notes in Computer Science)
Interval-valued Fuzzy-Rough Feature Selection and Application for Handling Missing Values in DatasetsShen, Q. & Jensen, R. 2008 8th Annual UK Workshop on Computational Intelligence (UKCI'08).p. 59-646 p.
Rough set based feature selection: A reviewJensen, R. & Shen, Q. 2007 Rough Computing: Theories, Technologies and Applications. Hassanien, A-E., Suraj, Z., Slezak, D. & Lingras, P. (eds.). Information Science Reference, p. 70-10738 p.
The evaluation of evidence for exponentially distributed dataShen, Q., Hayes, B., Aitken, C. & Jensen, R. 2007 In : Computational Statistics and Data Analysis.51, 12, p. 5682-569312 p.
Distance Measure Assisted Rough Set Feature SelectionShen, Q., MacParthaláin, N. S. & Jensen, R. 2007 p. 1084-10896 p.
Fuzzy-Rough Sets Assisted Attribute SelectionShen, Q. & Jensen, R. 2007 In : IEEE Transactions on Fuzzy Systems.15, 1, p. 73-8917 p.
Feature Selection based on Rough Sets and Particle Swarm OptimizationYang, J., Xia, W., Wang, X., Jensen, R. & Teng, X. 2007 In : Pattern Recognition Letters.p. 459-47113 p.
Rough sets, their extensions and applicationsShen, Q. & Jensen, R. 2007 In : International Journal of Automation and Computing.4, 3, p. 217-2282 p.
Survey of Rough and Fuzzy Hybridization.Lingras, P. & Jensen, R. 2007 p. 125-1306 p.
Tolerance-based and Fuzzy-Rough Feature Selection.Jensen, R. & Shen, Q. 2007 p. 877-8826 p.
Comparing Fuzzy-Rough and Fuzzy Entropy-assisted Fuzzy-Rough Feature SelectionMacParthaláin, N. S., Shen, Q. & Jensen, R. 2006
Rough set feature selection and rule induction for prediction of malignancy degree in brain gliomaWang, X., Yang, J., Jensen, R. & Liu, X. 2006 In : Computer Methods and Programs in Biomedicine.83, 2, p. 147-15610 p.
Fuzzy Entropy-Assisted Fuzzy-Rough Feature SelectionMacParthaláin, N. S., Jensen, R. & Shen, Q. 2006
Performing Feature Selection with ACOJensen, R. 2006 Swarm Intelligence and Data Mining.Springer Nature, p. 45-7329 p.
Webpage Classification with ACO-enhanced Fuzzy-Rough Feature Selection.Jensen, R. & Shen, Q. 2006 p. 147-15610 p.
Fuzzy-Rough Data Reduction with Ant Colony Optimization.Jensen, R. & Shen, Q. 2005 In : Fuzzy Sets and Systems.149, 1, p. 5-2016 p.
Finding Rough Set Reducts with SAT.Shen, Q., Tuson, A. & Jensen, R. 2005 p. 194-20310 p.
Fuzzy-Rough Feature Significance for Fuzzy Decision TreesJensen, R. & Shen, Q. 2005 p. 89-968 p.
Selecting Informative Features with Fuzzy-Rough Sets and its Application for Complex Systems Monitoring.Shen, Q. & Jensen, R. 2004 In : Pattern Recognition.37, 7, p. 1351-136313 p.
Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough-Based ApproachesJensen, R. & Shen, Q. 2004 In : IEEE Transactions on Knowledge and Data Engineering.16, 12, p. 1457-147115 p.
Fuzzy-Rough Attribute Reduction with Application to Web Categorization.Jensen, R. & Shen, Q. 2004 In : Fuzzy Sets and Systems.141, 3, p. 469-48517 p.