Research output

Research output per year 2004 2006 2007 2008 2009 2010 2011 2014 2015 2024

• 30 Article
• 20 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

• 2024

  Noisy Instance Removal Using OWA-Based Fuzzy-Rough Sets

  Jensen, R., Mac Parthalain, N., Amiri, M. & Cassens, J., 2024, ADVANCES IN COMPUTATIONAL INTELLIGENCE SYSTEMS, UKCI 2022. Panoutsos, G., Mahfouf, M. & Mihaylova, L. (eds.). GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND: Springer Nature, Vol. 1454. p. 37-48 12 p. (Advances in Intelligent Systems and Computing).

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

  • Criterion Measure 100%
• 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%
  2 Citations (Scopus)
• 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)
• 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)
• 2014

  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%
  12 Citations (Scopus)

• 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)

  129 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%
  21 Citations (Scopus)

  206 Downloads (Pure)
• 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%
  20 Citations (Scopus)

  127 Downloads (Pure)
• 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%
  258 Downloads (Pure)

• 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)

  208 Downloads (Pure)
• 2009

  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%
  19 Citations (Scopus)

  248 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%
  11 Citations (Scopus)

  220 Downloads (Pure)
• 2008

  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)

  239 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)

  237 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%
  38 Downloads (Pure)

• Rough and Fuzzy-rough methods for mammographic data analysis

  Shen, Q., MacParthaláin, N. S. & Jensen, R., 10 Sept 2008, Proceedings of the 8th Annual UK Workshop on Computational Intelligence.

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

  File

  • Breasts 100%
  • Tissues 60%
  • Classification 40%
  • Detection 40%
  • Accuracy 40%
  30 Downloads (Pure)