Qiang Shen BSc, MSc (NUDT), PhD (Heriot-Watt), DSc (Aberystwyth), CEng, FBCS, FLSW

Professor

Institute Director (IMPACS)

Contact Details

Room Number..........:  E46A
Building....................:  Llandinam
Phone.......................:   +44 (0)1970 621825
E-Mail........................:   qqs
Home Page...............:   Personal

Biography

Qiang Shen is a professor, and Director of the Institute of Mathematics, Physics and Computer Science (IMPACS) at Aberystwyth University. He is a Fellow of the Learned Society of Wales (the national academy of Wales).

Professor Shen was a member of UK Research Excellence Framework (REF) 2014 Sub-panel 11: Computer Science and Informatics, and a London 2012 Olympic Torch Relay torchbearer, nominated to carry the Olympic torch in celebration of the centenary of Alan Turing.

Research Groups

Publications

Deep learning for remote sensing image classification: A surveyLi, Y., Zhang, H., Xue, X., Jiang, Y. & Shen, Q. 2018 In : WIREs Data Mining and Knowledge Discovery.
Induction of Accurate and Interpretable Fuzzy Rules from Preliminary Crisp RepresentationChen, T., Shang, C., Su, P. & Shen, Q. 2018 In : Knowledge-Based Systems.146, p. 152-16614 p.
Fuzzy rule-based interpolative reasoning supported by attribute rankingLi, F., Shang, C., Li, Y., Yang, J. & Shen, Q. 2018 In : IEEE Transactions on Fuzzy Systems.99
Ordered weighted aggregation of fuzzy similarity relations and its application to detecting water treatment plant malfunctionSu, P., Shen, Q., Chen, T. & Shang, C. 2017 In : Engineering Applications of Artificial Intelligence.66, p. 17-2923 p.
Change detection in multi-temporal SAR images using dual-channel convolutional neural networkLiu, T., Li, Y., Cao, Y. & Shen, Q. 2017 In : Journal of Applied Remote Sensing.11, 4, 042615
Exploiting data reliability and fuzzy clustering for journal rankingSu, P., Shang, C., Chen, T. & Shen, Q. 2017 In : IEEE Transactions on Fuzzy Systems.25, 5, p. 1306-1319
Building Representations of Proto-Objects with Exploration of the Effect on Fixation TimesBraud, R., Giagkos, A., Shaw, P., Lee, M. & Shen, Q. 2017 (Accepted/In press) 8 p.
Fuzzy connected-triple for predicting inter-variable correlationLi, Z., Shang, C. & Shen, Q. 2017 The 17th UK Workshop on Computational Intelligence.Springer Nature, p. 49-62 (Advances in Intelligent Systems and Computing; vol. 650)
Improving fuzzy rule interpolation performance with information gain-guided antecedent weightingLi, F., Li, Y., Shang, C. & Shen, Q. 2017 In : Soft Computing.
Remote sensing image registration based on Gaussian-Hermite moments and pseudo-RANSAC algorithmLi, Y., Li, F., Yang, K., Price, C. & Shen, Q. 2017 In : Remote Sensing Letters.8, 12, p. 1163–1172
Transformation-Based Fuzzy Rule Interpolation Using Interval Type-2 Fuzzy SetsChen, C. & Shen, Q. 2017 In : Algorithms.10, 3, 91
A modified approach to inferring animal social networks from spatiotemporal data streamsZhang, P. & Shen, Q. 2017 Proceedings of the 17th UK Workshop on Computational Intelligence. Chao, F., Schockaert, S. & Zhang, Q. (eds.). Springer Nature, p. 75-87 (Advances in Intelligent Systems and Computing; vol. 650)
Generalized Adaptive Fuzzy Rule InterpolationYang, L., Chao, F. & Shen, Q. 2017 In : IEEE Transactions on Fuzzy Systems.25, 4, p. 839-853
Assessing Humanoid Multimodal Grasping Towards Object RecognitionGiagkos, A., Braud, R., Shaw, P., Lee, M. & Shen, Q. 2017 (Accepted/In press) 2 p.
Spectral-spatial classification of hyperspectral imagery using a dual-channel convolutional neural networkZhang, H., Li, Y., Zhang, Y. & Shen, Q. 2017 In : Remote Sensing Letters.8, 5, p. 438-447
Multi-functional nearest-neighbour classificationQu, Y., Shang, C., MacParthaláin, N., Wu, W. & Shen, Q. 2017 In : Soft Computing.14 p.
Perception of Localized Features During Robotic Sensorimotor DevelopmentGiagkos, A., Lewkowicz, D., Shaw, P., Kumar, S., Lee, M. & Shen, Q. 2017 In : IEEE Transactions on Cognitive and Developmental Systems.99, p. 127-140
Spectral-spatial classification of hyperspectral imagery with 3D convolutional neural networkLi, Y., Zhang, H. & Shen, Q. 2017 In : Remote Sensing.9, 1, 67
Image fusion for spatial enhancement of hyperspectral image via pixel group based non-local sparse representationYang, J., Li, Y., Chan, J. C-W. & Shen, Q. 2017 In : Remote Sensing.9, 1
Feature ranking-guided fuzzy rule interpolationLi, F., Shang, C., Li, Y. & Shen, Q. 2017 The 26th International Conference on Fuzzy Systems.
Single frame image super resolution via learning multiple ANFIS mappingsYang, J., Shang, C., Li, Y. & Shen, Q. 2017 The 26th International Conference on Fuzzy Systems.
D-FRI-WinFirewall: Dynamic fuzzy rule interpolation for Windows FirewallNaik, N. K., Diao, R., Shang, C., Shen, Q. & Jenkins, P. 2017 The 26th International Conference on Fuzzy Systems.
Fuzzy rough feature selection based on OWA aggregation of fuzzy relationsSu, P., Shang, C., Zhao, Y., Chen, T. & Shen, Q. 2017 The 26th International Conference on Fuzzy Systems.
Reliability-guided fuzzy classifier ensembleChen, T., Su, P., Shang, C. & Shen, Q. 2017 The 26th International Conference on Fuzzy Systems.
A new approach to exploring rough set boundary region for feature selectionLi, R., Qu, Y., Deng, A., Shang, C. & Shen, Q. 2017 The 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery.
Dynamic fuzzy rule interpolation and its application to intrusion detectionNaik, N. K., Diao, R. & Shen, Q. 2016 In : IEEE Transactions on Fuzzy Systems.
Developing Object Understanding through Schema GeneralisationKumar, S., Shaw, P., Lewkowicz, D., Giagkos, A., Shen, Q. & Lee, M. 2016
Towards Learning Strategies and Exploration Patterns for Feature PerceptionLewkowicz, D., Giagkos, A., Shaw, P., Kumar, S., Lee, M. & Shen, Q. 2016
Generalising Predictable Object Movements Through Experience Using SchemasKumar, S., Shaw, P., Lewkowicz, D., Giagkos, A., Lee, M. & Shen, Q. 2016 From Animals to Animats 14: 14th International Conference on Simulation of Adaptive Behaviour, SAB 2016, Aberystwyth, UK, August 23-26, 2016, Proceedings. Tuci, E., Giagkos, A., Wilson, M. & Hallam, J. (eds.). Springer Nature, p. 329-33911 p. (Lecture Notes in Computer Science; vol. 9825)
Fuzzy rule weight modification with particle swarm optimisationChen, T., Shen, Q., Su, P. & Shang, C. 2016 In : Soft Computing.20, 8, p. 2923–2937
Handwritten Chinese character recognition using fuzzy image alignmentLi, F., Shen, Q., MacParthalain, N. & Li, Y. 2016 In : Soft Computing.20, 8, p. 2939–2949
Rough-fuzzy rule interpolationChen, C., MacParthalain, N., Li, Y., Price, C., Quek, C. & Shen, Q. 2016 In : Information Sciences.351, p. 1-17
Image fusion via non-local sparse K-SVD dictionary learningLi, Y., Li, F., Bai, B. & Shen, Q. 2016 In : Applied Optics.55, 7, p. 1814-1823
Fuzzy-clustering embedded regression for predicting student academic performanceLi, Z., Shang, C. & Shen, Q. 2016 Proceedings of the 25th International Conference on Fuzzy Systems.
Application of dynamic fuzzy rule interpolation for intrusion detection: D-FRI-SnortNaik, N. K., Diao, R. & Shen, Q. 2016 Proceedings of the 25th International Conference on Fuzzy Systems.IEEE Press, #16182
Guiding fuzzy rule interpolation with information gainsLi, F., Shang, C., Li, Y. & Shen, Q. 2016 Advances in Computational Intelligence: Contributions Presented at the 16th UK Workshop on Computational Intelligence. Angelov, P., Gegov, A., Jayne, C. & Shen, Q. (eds.). 2 ed.Springer Nature, p. 165-183 (Advances in Intelligent Systems and Computing; vol. 513)
Self-adjusting harmony search-based feature selectionZheng, L., Diao, R. & Shen, Q. 2015 In : Soft Computing.19, 6, p. 1567-1579
Kernel-based fuzzy-rough nearest-neighbour classification for mammographic risk analysisQu, Y., Shang, C., Shen, Q., MacParthalain, N. & Wu, W. 2015 In : International Journal of Fuzzy Systems.17, 3, p. 471-483
Object tracking based on incremental Bi-2DPCA learning with sparse structureBai, B., Li, Y., Fan, J., Price, C. & Shen, Q. 2015 In : Applied Optics.54, 10, p. 2897-2907
Interpolation aided fuzzy image classificationZhang, Y., Shang, C. & Shen, Q. 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).IEEE Press, p. 1-7
Induction of quantified fuzzy rules with particle swarm optimisationChen, T., Shen, Q., Su, P. & Shang, C. 2015 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).IEEE Press, p. 1-77 p.
Backward rough-fuzzy rule interpolationChen, C., Jin, S., Li, Y. & Shen, Q. 2015 p. #154601 p.
Intelligent prediction of student examination scoresLi, Z., Shang, C. & Shen, Q. 2015
Nature inspired feature selection meta-heuristicsDiao, R. & Shen, Q. 2015 In : Artificial Intelligence Review.44, 3, p. 311-340
Babybot Challenge: Motor SkillsShaw, P., Lewkowicz, D., Giagkos, A., Law, J., Kumar, S., De Masson d' Autume, C., Lee, M. & Shen, Q. 2015 5th International Conference on Development and Learning and on Epigenetic Robotics. Providence, RI USA: IEEE Press, p. 47-548 p.
A hierarchical fuzzy cluster ensemble approach and its application to big data clusteringSu, P., Shang, C. & Shen, Q. 2015 In : Journal of Intelligent and Fuzzy Systems.28, 6, p. 2409-2421
Choice of effective fitness functions for genetic algorithm-aided dynamic fuzzy rule interpolationNaik, N. K., Diao, R. & Shen, Q. 2015 p. 391 p.
A developmental approach to robotic pointing via human-robot interactionChao, F., Wang, Z., Shang, C., Meng, Q., Jiang, M., Zhou, C. & Shen, Q. 2014 In : Information Sciences.283, p. 288-303
Feature Selection Inspired Classifier Ensemble ReductionDiao, R., Chao, F., Peng, T., Snooke, N. & Shen, Q. 2014 In : IEEE Transactions on Cybernetics.44, 8, p. 1259-1268
Backward fuzzy rule interpolationJin, S., Diao, R., Quek, C. & Shen, Q. 2014 In : IEEE Transactions on Fuzzy Systems.22, 6, p. 1682-1698
Finding rough and fuzzy-rough set reducts with SATJensen, R., Tuson, A. & Shen, Q. 2014 In : Information Sciences.255, p. 100-120
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
Real-time infrared target tracking based on ℓ1 minimization and compressive featuresLi, Y., Li, P. & Shen, Q. 2014 In : Applied Optics.53, 28, p. 6518-6526
Nearest neighbour-guided induced OWA and its application to journal rankingSu, P., Chen, T., Shang, C. & Shen, Q. 2014 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).IEEE Press, p. 1794-1800
Link-based pairwise similarity matrix approach for fuzzy C-means clustering ensembleSu, P., Shang, C. & Shen, Q. 2014 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).IEEE Press, p. 1538-1544
Interpolating deep spatio-temporal inference network features for image classificationZhang, Y., Shang, C. & Shen, Q. 2014 2014 International Join Conference on Neural Networks (IJCNN).IEEE Press, p. 1819-1826
Refinement of fuzzy rule weights with particle swarm optimizationChen, T., Shen, Q., Su, P. & Shang, C. 2014 2014 14th UK Workshop on computational Intelligence.IEEE Press, p. 1-7
Alpha-cut-based backward fuzzy interpolationJin, S., Shen, Q. & Diao, R. 2014 Proceedings of 13th IEEE International Conference on Cognitive Informatics and Cognitive Computing.IEEE Press, p. 211-218
OWA-based fuzzy rule interpolation for group decision makingChen, C. & Shen, Q. 2014 p. 1319-1326
Antecedent selection in fuzzy rule interpolation using feature selection techniquesDiao, R., Jin, S. & Shen, Q. 2014 p. 2206-2213
Genetic algorithm-aided dynamic fuzzy rule interpolationNaik, N. K., Diao, R. & Shen, Q. 2014 p. 2198-2205
Closed form fuzzy interpolation with interval type-2 fuzzy setsYang, L., Chen, C., Jin, N., Fu, X. & Shen, Q. 2014 p. 2184-2191
A fuzzy image congealing-based handwritten Chinese character recognition and classification systemLi, F., Shen, Q., Li, Y. & MacParthalain, N. 2014 p. 1-8
Closed form fuzzy interpolationYang, L. & Shen, Q. 2013 In : Fuzzy Sets and Systems.225, p. 1-2222 p.
Practicality Issues in Using Fuzzy Approaches for Aggregating Students’ Academic PerformanceRasmani, K. A., Shahari, N. A., Garibaldi, J. M. & Shen, Q. 2013 In : Procedia - Social and Behavioral Sciences.83, p. 398-402
Modified gradient based learning for local coupled feedforward neural networks with Gaussian basis functionQu, Y., Shang, C., Yang, J., Wu, W. & Shen, Q. 2013 In : Neural Computing and Applications.22, 1 (Supplement), p. 379-394
Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallelsQu, Y., Shen, Q., MacParthaláin, N. S., Shang, C. & Wu, W. 2013 In : International Journal of Approximate Reasoning.54, 1, p. 184-19512 p.
Link-based Approach for Bibliometric Journal RankingSu, P., Shang, C. & Shen, Q. 2013 In : Soft Computing.17, 12, p. 2399-2410
Dynamic feature selection with fuzzy-rough setsDiao, R., MacParthaláin, N. S. & Shen, Q. 2013 Proceedings of the 22nd International Conference on Fuzzy Systems.IEEE Press, p. 1-77 p.
Towards dynamic fuzzy rule interpolationNaik, N. K., Diao, R., Quek, C. & Shen, Q. 2013 Proceedings of the 22nd International Conference on Fuzzy Systems.IEEE Press, p. 1-77 p.
Backward fuzzy rule interpolation with multiple missing valuesJin, S., Diao, R., Quek, C. & Shen, Q. 2013 Proceedings of the 22nd International Conference on Fuzzy Systems.
OWA-aggregated fuzzy similarity relations for journal rankingSu, P., Shang, C. & Shen, Q. 2013 Proceedings of the 22nd International Conference on Fuzzy Systems.IEEE Press, p. 1-77 p.
Scale and move transformation-based fuzzy rule interpolation with interval type-2 fuzzy setsChen, C., Quek, C. & Shen, Q. 2013 Proceedings of the 22nd International Conference on Fuzzy Systems.IEEE Press, p. 1-88 p.
Interpolating DeSTIN features for image classificationZhang, Y., Shang, C. & Shen, Q. 2013 Proceedings of the 2013 UK Workshop on Computational Intelligence.IEEE Press, p. 292-2987 p.
Efficient feature selection using a self-adjusting harmony search algorithmZheng, L., Diao, R. & Shen, Q. 2013 Proceedings of the 2013 UK Workshop on Computational Intelligence.IEEE Press, p. 167-1748 p.
Feature Selection with Harmony SearchDiao, R. & Shen, Q. 2012 In : IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).42, 6, p. 1509-152315 p.
Feature selection ensembleShen, Q., Diao, R. & Su, P. 2012 Turing-100. The Alan Turing Centenary. Voronkov, A. (ed.). EasyChair, Vol. 10, p. 289-30618 p. (EasyChair Proceedings in Computing)
Backward Fuzzy Interpolation and Extrapolation with Multiple Multi-antecedent RulesJin, S., Diao, R. & Shen, Q. 2012 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).IEEE Press, p. 1-88 p.
Fuzzy orders-of-magnitude based link analysis for qualitative alias detectionShen, Q. & Boongoen, T. 2012 In : IEEE Transactions on Knowledge and Data Engineering.24, 4, p. 649-664
Social network inspired approach to intelligent monitoring of intelligence dataShen, Q. & Boongoen, T. 2012 Social Network Mining, Analysis and Research Trends: Techniques and Applications. Hong, T-P., Wang, L. S. L. & Ting, I-H. (eds.). IGI Global, p. 79-100
A new method for rule interpolation inspired by rough-fuzzy setsChen, C. & Shen, Q. 2012 Proceedings of the 21st International Conference on Fuzzy Systems.IEEE Press, p. 1098-1105
Fuzzy complex number aided evaluation of predictive toxicology modelsFu, X., Travis, K., Neagu, D., Ridley, M. & Shen, Q. 2012 Proceedings of the 21st International Conference on Fuzzy Systems.IEEE Press, p. 1922-19298 p.
A harmony search based approach to hybrid fuzzy-rough rule inductionDiao, R. & Shen, Q. 2012 Proceedings of the 21st International Conference on Fuzzy Systems.p. 1549-1556
Integration of interpolation and inferenceNaik, N. K., Su, P. & Shen, Q. 2012 Proceedings of the 2012 UK Workshop on Computational Intelligence.IEEE Press, p. 1-77 p.
Link-based methods for bibliometric journal rankingSu, P. & Shen, Q. 2012 Proceedings of the 2012 UK Workshop on Computational Intelligence.IEEE Press, p. 1-88 p.
Generalisation of Scale and Move Transformation-Based Fuzzy InterpolationShen, Q. & Yang, L. 2011 In : Journal of Advanced Computational Intelligence and Intelligent Informatics.15, 3, p. 288-29811 p.
Extending Data Reliability Measure to a Filter Approach for Soft Subspace ClusteringBoongoen, T., Shang, C., Iam-On, N. & Shen, Q. 2011 In : IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).41, 6, p. 1705-171410 p.
Adaptive fuzzy interpolationYang, L. & Shen, Q. 2011 In : IEEE Transactions on Fuzzy Systems.19, 6, p. 1107-112620 p.
Evolutionary Fuzzy Extreme Learning Machine for Mammographic Risk AnalysisQu, Y., Shang, C., Wu, W. & Shen, Q. 2011 In : International Journal of Fuzzy Systems.13, 4, p. 282-29110 p., 2552658
Fuzzy Order-of-Magnitude Based Link Analysis for Qualitative Alias DetectionShen, Q., Boongoen, T. & Price, C. 2011 Proceedings of the 25th International Workshop on Qualitative Reasoning.AAAI Press, p. 147-15812 p.
Towards Backward Fuzzy Rule InterpolationJin, S., Diao, R. & Shen, Q. 2011 Proceedings of the 11th UK Workshop on Computational Intelligence.Manchester University Press, p. 194-200
Adaptive Fuzzy Interpolation with Uncertain Observations and Rule BaseShen, Q. & Yang, L. 2011 2011 IEEE International Conference on Fuzzy Systems (FUZZ).IEEE Press, p. 471-4788 p.
Adaptive Fuzzy Interpolation with Prioritized Component CandidatesShen, Q. & Yang, L. 2011 2011 IEEE International Conference on Fuzzy Systems (FUZZ).IEEE Press, p. 428-4358 p.
Towards Fuzzy-Rough Rule InterpolationChen, C. & Shen, Q. 2011 Proceedings of the 11th UK Workshop on Computational Intelligence (UKCI2011).Manchester University Press, p. 55-60
Fuzzy-rough Classifier Ensemble SelectionDiao, R. & Shen, Q. 2011 2011 IEEE International Conference on Fuzzy Systems.IEEE Press, p. 1516-15227 p.
Kernel-Based Fuzzy-Rough Nearest Neighbour ClassificationQu, Y., Shang, C., Shen, Q., MacParthaláin, N. S. & Wu, W. 2011 Proceedings of the 20th IEEE International Conference on Fuzzy Systems.IEEE Press, p. 1523-15297 p.
Compositional Bayesian Modelling for Computation of Evidence Collection StrategiesKeppens, J., Shen, Q. & Price, C. J. 2011 In : Applied Intelligence.35, 1, p. 134-16128 p.
Fuzzy complex numbers and their application for classifiers performance evaluationFu, X. & Shen, Q. 2011 In : Pattern Recognition.44, 7, p. 1403-141715 p.
Fuzzy qualitative link analysis for academic performance evaluationBoongoen, T., Shen, Q. & Price, C. J. 2011 In : International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems.19, 3, p. 559-58527 p.
Learning Bayesian networks: approaches and issuesDaly, R., Shen, Q. & Aitken, S. 2011 In : Knowledge Engineering Review.26, 2, p. 99-15759 p.
Facilitating efficient Mars terrain image classification with fuzzy-rough feature selectionBarnes, D. P., Shang, C. & Shen, Q. 2011 In : International Journal of Hybrid Intelligent Systems.8, 1, p. 3-1311 p.
Nearest-Neighbor Guided Evaluation of Data Reliability and Its ApplicationsBoongoen, T. & Shen, Q. 2010 In : IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).40, 6, p. 1622-163312 p.
On rough sets, their recent extensions, and applicationsMacParthaláin, N. S. & Shen, Q. 2010 In : Knowledge Engineering Review.25, 4, p. 365-39531 p.
Risk assessment of serious crime with fuzzy random theoryShen, Q. & Zhao, R. 2010 In : Information Sciences.180, 22, p. 4401-441111 p.
Deterministic Parameter Control in Harmony SearchDiao, R. & Shen, Q. 2010 2010 UK Workshop on Computational Intelligence (UKCI).
Extreme Learning Machine for Mammographic Risk AnalysisWu, W., Shen, Q., Qu, Y. & MacParthaláin, N. S. 2010 Proceedings of the 2010 UK Workshop on Computational Intelligence.IEEE Press
A credibilistic approach to assumption-based truth maintenanceShen, Q. & Zhao, R. 2010 In : IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans.41, 1, p. 85-9612 p.
Fuzzy compositional modelingFu, X. & Shen, Q. 2010 In : IEEE Transactions on Fuzzy Systems.18, 4, p. 823-84018 p.
Two new approaches to feature selection with harmony searchDiao, R. & Shen, Q. 2010 2010 IEEE International Conference on Fuzzy Systems (FUZZ).p. 1-77 p.
Adaptive Fuzzy Interpolation and Extrapolation with Multiple-antecedent RulesShen, Q. & Yang, L. 2010 Proceedings of the 19th International Conference on Fuzzy Systems (FUZZ-IEEE'10).p. 565-5728 p.
Evidence directed generation of plausible crime scenarios with identity resolutionFu, X., Shen, Q. & Boongoen, T. 2010 In : Applied Artificial Intelligence.24, 4, p. 253-27624 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.
Disclosing false identity through hybrid link analysisBoongoen, T., Shen, Q. & Price, C. J. 2010 In : Artificial Intelligence and Law.18, 1, p. 77-10226 p.
Extending Propositional Satisfiability to Determine Minimal Fuzzy-Rough ReductsTuson, A., Shen, Q. & Jensen, R. 2010 p. 1415-14228 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.
Semi-Supervised OWA Aggregation for Link-Based Similarity Evaluation and Alias DetectionShen, Q. & Boongoen, T. 2009 p. 288-2936 p.
New approaches to fuzzy-rough feature selectionJensen, R. & Shen, Q. 2009 In : IEEE Transactions on Fuzzy Systems.17, 4, p. 824-83815 p.
Preserving piece-wise linearity in fuzzy interpolationShen, Q. & Huang, Z. 2009 IEEE International Conference on Fuzzy Systems, 2009. FUZZ-IEEE 2009.IEEE Press, p. 575-5806 p.
Linguistic Rulesets Extracted from a Quantifier-based Fuzzy Classification SystemRasmani, K. A., Garibaldi, J. M., Shen, Q. & Ellis, I. O. 2009 Proceedings of the 18th International Conference on Fuzzy Systems (FUZZ-IEEE'09).IEEE Press, p. 1204-12096 p.
A Novel Framework of Fuzzy Complex Numbers and its Application to Compositional ModellingFu, X. & Shen, Q. 2009 18th International Conference on Fuzzy Systems (FUZZ-IEEE'09).p. 536-5416 p.
Towards Adaptive Interpolative ReasoningYang, L. & Shen, Q. 2009 Proceedings of the 18th International Conference on Fuzzy Systems (FUZZ-IEEE'09).p. 542-5498 p.
Learning Bayesian network equivalence classes with ant colony optimizationDaly, R. & Shen, Q. 2009 In : Journal of Artificial Intelligence Research.35, p. 391-44757 p.
Exploring the Boundary Region of Tolerance Rough Sets for Feature SelectionMacParthaláin, N. S. & Shen, Q. 2009 In : Pattern Recognition.42, 5, p. 655-66713 p.
Linguistic probabilities: theory and applicationHalliwell, J. & Shen, Q. 2009 In : Soft Computing.13, 2, p. 169-18315 p.
Random Fuzzy Alternating Renewal ProcessesShen, Q., Zhao, R. & Tang, W. 2009 In : Soft Computing.13, 2, p. 139-1479 p.
Random fuzzy delayed renewal processesLi, S., Shen, Q., Wansheng, T. & Ruiqing, Z. 2009 In : Soft Computing.13, 7, p. 681-69010 p.
Hybrid Fuzzy-Rough Rule Induction and Feature SelectionCornelis, C., Jensen, R. & Shen, Q. 2009 p. 1151-11566 p.
Extending Adaptive Interpolation: From Triangular to TrapezoidalYang, L. & Shen, Q. 2009 p. 25-306 p.
Feature Selection for Aiding Glass Forensic Evidence AnalysisShen, Q. & Jensen, R. 2009 In : Intelligent Data Analysis.13, 5, p. 703-72321 p.
Effective Feature Selection for Mars McMurdo Terrain Image ClassificationBarnes, D. P., Shang, C. & Shen, Q. 2009 p. 1419-14246 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.
Intelligent Hybrid Approach to False Identity DetectionBoongoen, T. & Shen, Q. 2009 Proceedings of the 12th International Conference on Artificial Intelligence and Law.p. 147-15610 p.
Extending adaptive interpolation reasoning: from triangular to trapezoidalYang, L. & Shen, Q. 2009 Proceedings of the 2009 UK Workshop on Computational Intelligence.
Fuzzy Sets and Rough Sets for Scenario Modelling and AnalysisShen, Q. 2009 Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 12th International Conference, RSFDGrC 2009, Delhi, India, December 15-18, 2009. Proceedings. Sakai, H., Chakroborty, M. K., Hassanien, A. E., Ślęzak, D. & Zhu, W. (eds.). Springer Nature, p. 45-5814 p. (Lecture Notes in Computer Science; vol. 5908)
Taking Fuzzy-Rough Application to Mars: Fuzzy-Rough Feature Selection for Mars Terrain Image ClassificationShang, C., Barnes, D. P. & Shen, Q. 2009 Rough Sets, Fuzzy Sets, Data Mining and Granular Computing.Springer Nature, p. 209-2168 p.
Effective feature selection for Mars McMurdo image classificationShang, C., Barnes, D. & Shen, Q. 2009 9th International Conference on Intelligent Systems Design and Applications, 2009. ISDA '09.IEEE Press, p. 1419-1424
Intelligent systems for decision supportShen, Q. 2009 Proceedings of International Joint Conference on Computational Intelligence.p. 25-3612 p.
Order-of-magnitude based link analysis for false identity detectionShen, Q. & Boongoen, T. 2009 Proceedings of the 23rd International Workshop on Qualitative Reasoning.p. 7-159 p.
Computational Intelligence and Feature Selection: Rough and Fuzzy ApproachesJensen, R. & Shen, Q. 2008 Wiley. 339 p.
Modelling random fuzzy renewal reward processesShen, Q., Zhao, R. & Tang, W. 2008 In : IEEE Transactions on Fuzzy Systems.16, 5, p. 1379-13857 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.
Detecting False Identity through Behavioural PatternsShen, Q. & Boongoen, T. 2008
Detecting false identity through behavioral patterns.Boongoen, T. & Shen, Q. 2008 2008 International Crime Science Conference.
Clus-DOWA: A New Dependent OWA OperatorBoongoen, T. & Shen, Q. 2008 Proceedings of IEEE International Conference on Fuzzy Systems.p. 1057-10637 p.
Fuzzy Model Fragment RetrievalShen, Q. & Fu, X. 2008 Proceedings of the 17th International Conference on Fuzzy Systems.p. 1381-13888 p.
Finding Fuzzy-rough Reducts with Fuzzy EntropyMacParthaláin, N. S., Jensen, R. & Shen, Q. 2008 p. 1282-12887 p.
Reinforcing fuzzy rule-based diagnosis of turbomachines with case-based reasoningYang, M. & Shen, Q. 2008 In : International Journal of Knowledge-Based and Intelligent Engineering Systems.12, 2, p. 173-1819 p.
Approximation-based feature selection and application for algae population estimationShen, Q. & Jensen, R. 2008 In : Applied Intelligence.28, 2, p. 167-18115 p.
Fuzzy Interpolation and Extrapolation: A Practical ApproachHuang, Z. & Shen, Q. 2008 In : IEEE Transactions on Fuzzy Systems.16, 1, p. 13-2816 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.
Fuzzy Diagnosis of TurbomachinesShen, Q. & Yang, M. 2008 In : International Journal of Knowledge-Based and Intelligent Engineering Systems.12, 2, p. 137-14610 p.
A fuzzy-XCS classifier system with linguistic hedgesMarin-Blázquez, J. & Shen, Q. 2008 In : Journal of Computational Intelligence Research (IJCIR).4, 4, p. 329-34113 p.
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.
Aiding neural network based image classification with fuzzy-rough feature selectionShang, C. & Shen, Q. 2008 IEEE International Conference on Fuzzy Systems, 2008. FUZZ-IEEE 2008.IEEE Press, p. 976-9827 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.
Thinking with and outside the box: developing computer support for evidence teachingSchafer, B., Keppens, J. & Shen, Q. 2007 Innovations in Evidence and Proof: Integrating Theory, Research and Teaching. Roberts, P. & Redmayne, M. (eds.). Hart Publishing, p. 139-15820 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.
Towards Fuzzy Compositional ModellingShen, Q., Zhao, R. & Fu, X. 2007 p. 1233-12386 p.
Knowledge representation for fuzzy model compositionFu, X. & Shen, Q. 2007 p. 47-548 p.
A scenario-driven decision support system for serious crime investigationShen, Q., Keppens, J., Aitken, C., Schafer, B. & Lee, M. 2007 In : Law, Probability and Risk.5, 2, p. 87-11731 p.
Fuzzy-Rough Sets Assisted Attribute SelectionShen, Q. & Jensen, R. 2007 In : IEEE Transactions on Fuzzy Systems.15, 1, p. 73-8917 p.
Rough sets, their extensions and applicationsShen, Q. & Jensen, R. 2007 In : International Journal of Automation and Computing.4, 3, p. 217-2282 p.
Tolerance-based and Fuzzy-Rough Feature Selection.Jensen, R. & Shen, Q. 2007 p. 877-8826 p.
Methods to accelerate the learning of bayesian network structuresShen, Q. & Daly, R. 2007
Rough feature selection for intelligent classifiersShen, Q. 2007 Transactions on Rough Sets VII: Commemorating the Life and Work of Zdzisław Pawlak, Part I. Peters , J. F., Skowron, A., Marek, V. W., Orłowska, E., Słowiński, R. & Ziarko, W. (eds.). Springer Nature, Vol. 4400, p. 244-25512 p. (Lecture Notes in Computer Science; vol. 4400)
Granularity and disaggregation in compositional modelling with applications to ecological systemsKeppens, J. & Shen, Q. 2006 In : Applied Intelligence.25, 3, p. 269-29224 p.
Data-driven fuzzy rule generation and its application for student academic performance evaluationRasmani, K. A. & Shen, Q. 2006 In : Applied Intelligence.25, 3, p. 305-31915 p.
Comparing Fuzzy-Rough and Fuzzy Entropy-assisted Fuzzy-Rough Feature SelectionMacParthaláin, N. S., Shen, Q. & Jensen, R. 2006
Fuzzy Entropy-Assisted Fuzzy-Rough Feature SelectionMacParthaláin, N. S., Jensen, R. & Shen, Q. 2006
Fuzzy interpolative reasoning via scale and move transformationShen, Q. & Huang, Z. 2006 In : IEEE Transactions on Fuzzy Systems.14, 2, p. 340-35920 p.
Webpage Classification with ACO-enhanced Fuzzy-Rough Feature Selection.Jensen, R. & Shen, Q. 2006 p. 147-15610 p.
Aiding classification of gene expression data with feature selection: a comparative studyShen, Q. & Shang, C. 2006 In : Journal of Computational Intelligence Research (IJCIR).p. 68-769 p.
Speeding up the learning of equivalence classes of Bayesian network structuresDaly, R., Aitken, S. & Shen, Q. 2006 p. 34-396 p.
Using ant colony optimisation in learning Bayesian network equivalence classesShen, Q., Daly, R. & Aitken, S. 2006 p. 111-1188 p.
Linguistic hedges for ant-generated rulesShen, Q. & Galea, M. 2006 p. 9105-91128 p.
Simultaneous ant colony optimisation algorithms for learning linguistic fuzzy rulesGalea, M. & Shen, Q. 2006 Swarm Intelligence in Data Mining. Grosan, C. & Ramos, V. (eds.). Springer Nature, p. 75-9925 p.
Finding Rough Set Reducts with SAT.Shen, Q., Tuson, A. & Jensen, R. 2005 p. 194-20310 p.
A Framework for the Scoring of Operators on the Search Space of Equivalence Classes of Bayesian Network StructuresShen, Q. & Daly, R. 2005 p. 67-748 p.
Iterative vs Simultaneous Fuzzy Rule InductionGalea, M. & Shen, Q. 2005 p. 767-7726 p.
Transformation Based Interpolation with Generalized Representative ValuesShen, Q. & Huang, Z. 2005 p. 821-8266 p.
Compositional Bayesian modelling and its application to decision support in crime investigationShen, Q., Lee, M. & Keppens, J. 2005 p. 138-14811 p.
Probabilistic abductive computation of evidence collection strategies in crime investigationKeppens, J., Schafer, B. & Shen, Q. 2005 p. 215-22511 p.
Subsethood-based Fuzzy Rule Models and their Application to Student PerformanceRasmani, K. & Shen, Q. 2005 p. 755-7606 p.
Preserving Piece-wise Linearity in Fuzzy InterpolationShen, Q. & Huang, Z. 2005 p. 105-1128 p.
Encouraging Complementary Fuzzy Rules within Iterative Rule LearningSingh, V., Shen, Q. & Galea, M. 2005 p. 15-228 p.
Fuzzy-Rough Feature Significance for Fuzzy Decision TreesJensen, R. & Shen, Q. 2005 p. 89-968 p.
Exhibiting the behaviour of time-delayed systems via an extension to qualitative simulationMiguel, I. & Shen, Q. 2005 In : IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).p. 298-3058 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.
Fault identification through the combination of symbolic conflict recognition and Markov Chain-aided belief revisionShen, Q. & Smith, F. 2004 In : IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).34, 5, p. 649-66315 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.
Evolutionary approaches to fuzzy modelling for classificationShen, Q. & Galea, M. 2004 p. 27-5933 p.
Compositional model repositories via dynamic constraint satisfaction with order-of-magnitude preferencesShen, Q. & Keppens, J. 2004 In : Journal of Artificial Intelligence Research.p. 499-55052 p.
Fuzzy rules from ant-inspired computationShen, Q. & Galea, M. 2004 p. 1691-16966 p.
FRANTIC - A system for inducing accurate and comprehensible fuzzy rulesGalea, M. & Shen, Q. 2004 p. 136-1438 p.
Scale and move transformation-based fuzzy interpolative reasoning: A revisitHuang, Z. & Shen, Q. 2004 p. 623-6286 p.
Fuzzy interpolation with generalized representative valuesShen, Q. & Huang, Z. 2004 p. 161-17111 p.
Causality enabled compositional modelling of Bayesian networksShen, Q. & Keppens, J. 2004 p. 33-408 p.
Modifying weighted fuzzy subsethood-based rule models with fuzzy quantifiersShen, Q. & Rasmani, K. 2004 p. 1679-16846 p.
Subsethood-based fuzzy modelling and classificationRasmani, K. & Shen, Q. 2004 p. 181-1888 p.