Research output

Research output per year 2004 2006 2007 2008 2009 2010 2011 2014 2015 2021

• 29 Article
• 19 Conference Proceeding (Non-Journal item)
• 14 Paper
• 3 Chapter
• 5 More
  • 2 Edited book
  • 1 Book
  • 1 Entry for encyclopedia/dictionary
  • 1 Poster

Research output per year

Research output per year

Search results

• 2021

  Advances in Computational Intelligence Systems: Contributions Presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK

  Jansen, T. (Editor), Jensen, R. (Editor), MacParthaláin, N. (Editor) & Lin, C.-M. (Editor), 18 Nov 2021, Springer Nature. 579 p. (Advances in Intelligent Systems and Computing; vol. 1409)

  Research output: Book/Report › Edited book

  • Machine Learning 100%
  • Deep Learning 100%
  • Cognitive Robotics 100%
  • Data Mining 100%
  • Artificial Intelligence 100%
• 2020

  Fuzzy-Rough Set Bireducts for Data Reduction

  MacParthaláin, N., Jensen, R. & Diao, R., 31 Aug 2020, In: IEEE Transactions on Fuzzy Systems. 28, 8, p. 1840-1850 11 p., 8740984.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Data Analysis 100%
  • Rough Fuzzy Set 66%
  • Learning Method 66%
  • Classification (Machine Learning) 33%
  • Unlabeled Data 33%
  17 Citations (SciVal)

  277 Downloads (Pure)
• 2019

  Effective instance selection using the fuzzy-rough lower approximation

  Jensen, R., Amiri, M. & Parthalain, N. M., 10 Oct 2019, 2019 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE. IEEE Press, 8858799. (IEEE International Conference on Fuzzy Systems; vol. 2019).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  • Approximation (Algorithm) 100%
  • Instance Selection 100%
  • User 33%
  • Information Loss 33%
  • Classes 33%
  1 Citation (Scopus)
• 2017

  Feature selection for high dimensional imbalanced class data using harmony search

  Moayedikia, A., Ong, K.-L., Boo, Y. L., Yeoh, W. G. S. & Jensen, R., 31 Jan 2017, In: Engineering Applications of Artificial Intelligence. 57, p. 38-49 12 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Feature Selection 100%
  • Harmony Search 80%
  • Classes 60%
  • Benchmark 40%
  • Algorithms 40%
  129 Citations (Scopus)

  542 Downloads (Pure)
• 2016

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

  Amiri, M., Jensen, R., Eftekhari, M. & MacParthaláin, N., 2016, 2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE). IEEE Press, p. 1934-1941 8 p. (IEEE International Fuzzy Systems Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  • Rough Fuzzy Set 100%
  • Data Instance 100%
  • Application 50%
  • User 25%
  • Driven Approach 25%
  5 Citations (Scopus)

• Missing data imputation using fuzzy-rough methods

  Amiri, M. & Jensen, R., 12 Sept 2016, In: Neurocomputing. 205, p. 152-164

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Rough Fuzzy Set 100%
  • Imputation Method 75%
  • Rough Set 50%
  • Missing Value 50%
  • User 25%
  126 Citations (Scopus)

  625 Downloads (Pure)
• 2015

  Discovering Fuzzy-Rough Reducts through Estimation of Distribution Algorithms

  Jensen, R. & MacParthalain, N., 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Yazici, A., Pal, N., Kaymak, U., Martin, T., Ishibuchi, H., Lin, C., Sousa, J. & Tutmez, B. (eds.). IEEE Press, p. 1-8 8 p. (IEEE International Fuzzy Systems Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  • Feature Selection 100%
  • Estimation of Distribution Algorithms 66%
  • Classification (Machine Learning) 33%
  • Information Loss 33%
  • Accuracy 33%

• Fuzzy-Rough Feature Selection using Flock of Starlings Optimisation

  MacParthalain, N. & Jensen, R., 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Yazici, A., Pal, N., Kaymak, U., Martin, T., Ishibuchi, H., Lin, C., Sousa, J. & Tutmez, B. (eds.). IEEE Press, 8 p. (IEEE International Fuzzy Systems Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  • Algorithm 100%
  • Algorithms 100%
  • Particle Swarm Optimization 66%
  • Feature Extraction 66%
  • Bird 66%
  8 Citations (Scopus)

• Semi-Supervised Fuzzy-Rough Feature Selection

  Jensen, R., Vluymans, S., MacParthalain, N., Cornelis, C. & Saeys, Y., 15 Dec 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. 185-195 11 p. (Lecture Notes in Artificial Intelligence; vol. 9437).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  • Feature Selection 100%
  • Rough Fuzzy Set 50%
  • Evaluation 25%
  • Data Instance 25%
  • Intractability 25%
  9 Citations (Scopus)

• Towards scalable fuzzy–rough feature selection

  Jensen, R. & MacParthalain, N., 01 Dec 2015, In: Information Sciences. 323, p. 1-15 15 p.

  Research output: Contribution to journal › Article › peer-review

  File

  • Feature Selection 100%
  • Rough Fuzzy Set 50%
  • Computational Effort 50%
  • Simulation Mode 50%
  • Approximation (Algorithm) 25%
  49 Citations (Scopus)

  211 Downloads (Pure)

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

  Moayedikia, A., Jensen, R., Wiil, U. K. & Forsati, R., 30 Sept 2015, In: Engineering Applications of Artificial Intelligence. 44, p. 153-167 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Discrete Optimization 100%
  • Optimization 100%
  • Algorithms 100%
  • Feature Selection 100%
  • Optimization Problem 66%
  37 Citations (Scopus)

  285 Downloads (Pure)
• 2014

  Enriched ant colony optimization and its application in feature selection

  Forsati, R., Moayedikia, A., Jensen, R., Shamsfard, M. & Meybodi, M. R., 22 Oct 2014, In: Neurocomputing. 142, p. 354-371 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Algorithm 100%
  • Feature Selection 55%
  • Variations 33%
  • Ant Colony Optimisation 33%
  • Local Search 22%
  61 Citations (Scopus)

  331 Downloads (Pure)

• Feature Grouping-Based Fuzzy-Rough Feature Selection

  Jensen, R., MacParthalain, N. & Cornelis, C., 2014, 2014 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE). NEW YORK: IEEE Press, p. 1488-1495 8 p. (IEEE International Fuzzy Systems Conference Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  • Simulation Mode 100%
  • Large Data Set 66%
  • Evaluation 66%
  • Feature Selection 66%
  • Evaluation Metric 33%
  9 Citations (Scopus)

• Finding rough and fuzzy-rough set reducts with SAT

  Jensen, R., Tuson, A. & Shen, Q., 10 Jan 2014, In: Information Sciences. 255, p. 100-120 21 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Machine Learning 100%
  • Pattern Recognition 100%
  • Rough Fuzzy Set 100%
  • Rough Set Theory 100%
  • Signal Processing 100%
  62 Citations (Scopus)

  293 Downloads (Pure)

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

  Diao, R., MacParthalain, N., Jensen, R. & Shen, Q., 01 Jan 2014, IEEE International Conference on Fuzzy Systems. IEEE Press, p. 1504-1511 8 p. 6891819

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  • Rough Set Theory 100%
  • Classification (Machine Learning) 66%
  • Harmony Search 33%
  • Benchmark 33%
  • Candidate Solution 33%
  3 Citations (Scopus)

• Nearest neighbour-based fuzzy-rough feature selection

  Jensen, R. & MacParthaláin, N. S., 01 Jan 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. 35-46 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8536 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  • Feature Selection 100%
  • Evaluation Metric 50%
  • Complexity 50%
  • Computational Effort 50%
  • Simulation Mode 50%
  5 Citations (Scopus)
• 2013

  Quality, Frequency and Similarity Based Fuzzy Nearest Neighbor Classification

  Verbiest, N., Cornelis, C. & Jensen, R., 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ). IEEE Press, p. 1-8

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  Open Access

  File

  • Nearest Neighbour 100%
  • Classes 50%
  • Measures 16%
  • Weights 16%
  • Rough Set Theory 16%
  4 Citations (Scopus)

  133 Downloads (Pure)

• Simultaneous feature and instance selection using fuzzy-rough bireducts

  MacParthaláin, N. S. & Jensen, R., 07 Jul 2013, Proceedings of the 22nd IEEE International Conference on Fuzzy Systems. IEEE Press

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  Open Access

  File

  • Feature Selection 100%
  • Instance Selection 75%
  • Rule Induction 50%
  • Classification Accuracy 25%
  • Rough Set 25%
  20 Citations (Scopus)

  192 Downloads (Pure)

• Unsupervised fuzzy-rough set-based dimensionality reduction

  MacParthaláin, N. S. & Jensen, R., 20 Apr 2013, In: Information Sciences. 229, p. 106-121 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Rough Fuzzy Set 100%
  • Functions 100%
  • Domains 100%
  • Feature Selection 100%
  • Learning 100%
  69 Citations (Scopus)
• 2012

  Fuzzy Rough Positive Region based Nearest Neighbour Classification

  Verbiest, N., Cornelis, C. & Jensen, R., 2012, 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). NEW YORK: IEEE Press, p. 1961-1967 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  Open Access

  File

  • Nearest Neighbour 100%
  • Rough Set Theory 40%
  • Neighbor Classifier 40%
  • Classification (Machine Learning) 20%
  • Evaluation 20%
  19 Citations (Scopus)

  134 Downloads (Pure)

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

  Goodarzi, M., Jensen, R. & Vander Heyden, Y., 01 Dec 2012, In: Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences. 910, p. 84-94 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Procedure 100%
  • Structure 66%
  • Optimization 33%
  • Mobile Phase Composition 33%
  • Ant 33%
  56 Citations (Scopus)
• 2011

  A New Approach to Fuzzy-Rough Nearest Neighbour Classification

  Jensen, R. & Cornelis, C., 2011, Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing. p. 310-319 10 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  File

  • Nearest Neighbour 100%
  • Approximation 42%
  • Neighbor Classification 28%
  • Implicator 14%
  • Algorithm 14%
  271 Downloads (Pure)

• Fuzzy-rough data mining

  Jensen, R., 31 Dec 2011.

  Research output: Contribution to conference › Paper › peer-review

  1 Citation (Scopus)

• Fuzzy-Rough Nearest Neighbour Classification

  Jensen, R. & Cornelis, C., 31 Dec 2011, In: Transactions on Rough Sets. XIII, p. 56-72 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Nearest Neighbour 100%
  • Approximation 42%
  • Neighbor Classification 28%
  • Implicator 14%
  • Algorithm 14%
  53 Citations (Scopus)

• Fuzzy-Rough Nearest Neighbour Classification and Prediction

  Cornelis, C. & Jensen, R., 07 Sept 2011, In: Theoretical Computer Science. 412, 42, p. 5871-5884 14 p.

  Research output: Contribution to journal › Article › peer-review

  File

  • Nearest Neighbour 100%
  • Approximation 50%
  • Classical Approach 25%
  • Classification Method 25%
  • Quantifier 25%
  113 Citations (Scopus)

  188 Downloads (Pure)

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

  Vander Heyden, Y., Dejaegher, B., Jensen, R., Funar-Timofei, S. & Goodarzi, M., 13 Jul 2011.

  Research output: Contribution to conference › Poster

  • Imidazole Derivative 100%
  • Quantitative Structure-Activity Relationship 100%
  • Cancer Chemotherapy 100%
  • P-Glycoprotein 100%
  • Cross-Validation 50%

• Fuzzy-Rough Set based Semi-Supervised Learning

  MacParthalain, N. & Jensen, R., 06 Jul 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ). p. 2465-2472 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  File

  • Rough Fuzzy Set 100%
  • Supervised Learning 50%
  • Unlabeled Data 50%
  • Real World 50%
  • Evaluation 50%
  16 Citations (Scopus)

  205 Downloads (Pure)
• 2010

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

  MacParthaláin, N. S., Shen, Q. & Jensen, R., 01 Mar 2010, In: IEEE Transactions on Knowledge and Data Engineering. 22, 3, p. 306-317 12 p.

  Research output: Contribution to journal › Article › peer-review

  File

  • Feature Selection 100%
  • Boundary Region 66%
  • Approximation (Algorithm) 50%
  • Rough Set 50%
  • Visualization 16%
  136 Citations (Scopus)

  238 Downloads (Pure)

• Attribute Selection with Fuzzy Decision Reducts

  Cornelis, C., Jensen, R., Hurtado, G. & Slezak, D., 15 Jan 2010, In: Information Sciences. 180, 2, p. 209-224 16 p.

  Research output: Contribution to journal › Article › peer-review

  File

  • Decision Model 100%
  • Rough Set Theory 50%
  • Attribute Selection 50%
  • Attribute Subset 50%
  • Discernibility 50%
  224 Citations (Scopus)

  382 Downloads (Pure)

• Extending Propositional Satisfiability to Determine Minimal Fuzzy-Rough Reducts

  Tuson, A., Shen, Q. & Jensen, R., 2010, p. 1415-1422. 8 p.

  Research output: Contribution to conference › Paper › peer-review

  File

  • Machine Learning 100%
  • Benchmark 100%
  • Classification Accuracy 100%
  • Rough Set 100%
  • Rough Set Theory 100%
  2 Citations (Scopus)

  270 Downloads (Pure)

• Fuzzy-rough approaches for mammographic risk analysis

  MacParthaláin, N. S., Jensen, R., Shen, Q. & Zwiggelaar, R., 09 Mar 2010, In: Intelligent Data Analysis. 14, 2, p. 225-244 20 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Feature Selection 100%
  • Classification (Machine Learning) 66%
  • Classification Accuracy 66%
  • Rough Set 66%
  • Accuracy 66%
  41 Citations (Scopus)

  192 Downloads (Pure)

• Fuzzy-rough instance selection

  Jensen, R. & Cornelis, C., 2010, p. 1776-1782. 7 p.

  Research output: Contribution to conference › Paper › peer-review

  File

  • Instance Selection 100%
  • Rough Fuzzy Set 66%
  • Rough Set Theory 66%
  • Feature Selection 66%
  • Rule Generation 33%
  34 Citations (Scopus)

  170 Downloads (Pure)

• Ordered Weighted Average Based Fuzzy Rough Sets

  Jensen, R., Verbiest, N. & Cornelis, C., Oct 2010, p. 78-85. 8 p.

  Research output: Contribution to conference › Paper › peer-review

  File

  • Approximation 100%
  • Weighted Average 50%
  • Fuzzy 50%
  • Procedure 50%
  • Potential 50%
  66 Citations (Scopus)

  132 Downloads (Pure)

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

  Szczuka, M. (Editor), Kryszkiewicz, M. (Editor), Ramanna, S. (Editor), Jensen, R. (Editor) & Hu, Q. (Editor), 2010, Springer Nature. 771 p. (Lecture Notes in Computer Science; vol. 6086 2010)

  Research output: Book/Report › Edited book
• 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

  Goodarzi, M., Freitas, M. P. & Jensen, R., 15 Oct 2009, In: Chemometrics and Intelligent Laboratory Systems. 89, 2, p. 123-129 7 p.

  Research output: Contribution to journal › Article › peer-review

  • Procedure 100%
  • Optimization 60%
  • Ant 60%
  • Anti HIV 40%
  • Scanning Voltage Microscopy 40%
  61 Citations (Scopus)

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

  Jensen, R. & Shen, Q., Dec 2009, In: IEEE Transactions on Fuzzy Systems. 17, 6, p. 1456-1458 3 p.

  Research output: Contribution to journal › Article › peer-review

  File

  • Fuzzy 100%
  • Curse 16%
  • Criticism 16%
  • Correspondence 16%
  41 Citations (Scopus)

  221 Downloads (Pure)

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

  Goodarzi, M., Freitas, M. P. & Jensen, R., 01 Apr 2009, In: Journal of Chemical Information and Modeling. 49, 4, p. 824-832 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Glycogen Synthase Kinase 3 Inhibitor 100%
  • Quantitative Structure-Activity Relationship 50%
  • Glycogen Synthase Kinase 3 50%
  • Ant 50%
  60 Citations (Scopus)

• Feature Selection for Aiding Glass Forensic Evidence Analysis

  Shen, Q. & Jensen, R., 2009, In: Intelligent Data Analysis. 13, 5, p. 703-723 21 p.

  Research output: Contribution to journal › Article › peer-review

  File

  • Likelihood Ratio 100%
  • Feature Selection 50%
  • Distribution Group 25%
  • Control 25%
  • Expert Knowledge 25%
  6 Citations (Scopus)

  201 Downloads (Pure)

• Hybrid Fuzzy-Rough Rule Induction and Feature Selection

  Cornelis, C., Jensen, R. & Shen, Q., 2009, p. 1151-1156. 6 p.

  Research output: Contribution to conference › Paper

  File

  • Classification (Machine Learning) 100%
  • Rough Set Theory 100%
  • Feature Selection 100%
  • Equivalence Class 50%
  • Rough Fuzzy Set 50%
  39 Citations (Scopus)

  200 Downloads (Pure)

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

  Jensen, R. & Shen, Q., 2009, Proceedings of the 18th International Conference on Fuzzy Systems. p. 610-615 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  File

  • Feature Selection 100%
  • Missing Value 100%
  • Rough Set Theory 66%
  • Intervals 66%
  • Rough Set 33%
  17 Citations (Scopus)

  244 Downloads (Pure)

• Measures for Unsupervised Fuzzy-Rough Feature Selection

  MacParthaláin, N. S. & Jensen, R., 30 Nov 2009, 9th International Conference on Intelligent Systems Design and Applications (ISDA'09) Event: Conference. 4 ed. IEEE Press, Vol. 7. p. 249-259 11 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  File

  • Classes 100%
  • Feature Selection 100%
  • Functions 66%
  • Supervised Learning 33%
  • Predictive Accuracy 33%
  12 Citations (Scopus)

  219 Downloads (Pure)

• New approaches to fuzzy-rough feature selection

  Jensen, R. & Shen, Q., Aug 2009, In: IEEE Transactions on Fuzzy Systems. 17, 4, p. 824-838 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Large Data Set 100%
  • Robust Solution 100%
  • Classification Accuracy 100%
  • Rough Set 100%
  • Rough Fuzzy Set 100%
  508 Citations (SciVal)

  687 Downloads (Pure)
• 2008

  A New Approach to Fuzzy-Rough Nearest Neighbour Classification

  Jensen, R. & Cornelis, C., 2008, Rough Sets and Current Trends in Computing: Proceedings 6th International Conference, RSCTC 2008 Akron. Chan, C.-C., Grzymala-Busse, J. W. & Ziarko, W. P. (eds.). Springer Nature, p. 310-319 10 p. (Lecture Notes in Computer Science).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  Open Access

  File

  • Nearest Neighbour 100%
  • Approximation 42%
  • Neighbor Classification 28%
  • Implicator 14%
  • Algorithm 14%
  63 Citations (Scopus)

  200 Downloads (Pure)

• A Noise-tolerant Approach to Fuzzy-Rough Feature Selection

  Jensen, R. & Cornelis, C., 2008, 17th International Conference on Fuzzy Systems (FUZZ-IEEE'08).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  File

  • Rough Set 100%
  • Simulation Mode 50%
  • Feature Selection 50%
  • Quantitative Attribute 25%
  • Rough Fuzzy Set 25%
  30 Citations (Scopus)

  223 Downloads (Pure)

• Approximation-based feature selection and application for algae population estimation

  Shen, Q. & Jensen, R., 01 Apr 2008, In: Applied Intelligence. 28, 2, p. 167-181 15 p.

  Research output: Contribution to journal › Article › peer-review

  File

  • Estimation Theory 100%
  • Feature Selection 75%
  • Approximation 50%
  • Driven Approach 25%
  • Population Estimation 25%
  4 Citations (Scopus)

  179 Downloads (Pure)

• Computational Intelligence and Feature Selection: Rough and Fuzzy Approaches

  Jensen, R. & Shen, Q., 17 Oct 2008, Wiley. 339 p.

  Research output: Book/Report › Book

  File

  • Feature Selection 100%
  • Rough Set Theory 50%
  • Set Theory 25%
  • Real World 25%
  • World Application 25%
  296 Citations (Scopus)

  77 Downloads (Pure)

• Data Reduction with Rough Sets

  Shen, Q. & Jensen, R., 2008, Encyclopedia of Data Warehousing and Mining - 2nd Edition. 2nd ed. IGI Global, p. 556-560 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Entry for encyclopedia/dictionary

  File

  • Knowledge Discovery 100%
  • Data Analysis 100%
  • Feature Selection 100%
  • Rough Set 50%
  • Data Mining Process 50%
  98 Downloads (Pure)

• Feature Selection with Fuzzy Decision Reducts

  Cornelis, 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. 284-291 8 p. (Lecture Notes in Computer Science).

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  File

  • Rough Set 100%
  • Rough Set Theory 100%
  • Contexts 100%
  • Attribute Selection 100%
  • Feature Selection 100%
  34 Citations (Scopus)

  241 Downloads (Pure)

• Finding Fuzzy-rough Reducts with Fuzzy Entropy

  MacParthaláin, N. S., Jensen, R. & Shen, Q., 01 Jun 2008, p. 1282-1288. 7 p.

  Research output: Contribution to conference › Paper

  File

  • Feature Selection 100%
  • Entropy 50%
  • Approximation (Algorithm) 25%
  • Prediction Performance 25%
  • Evaluation 25%
  6 Citations (Scopus)

  161 Downloads (Pure)

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

  Shen, Q. & Jensen, R., 2008, 8th Annual UK Workshop on Computational Intelligence (UKCI'08). p. 59-64 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  File

  • Feature Selection 100%
  • Missing Value 66%
  • Intervals 66%
  • Rough Set 33%
  • Rough Set Theory 33%
  40 Downloads (Pure)