Research output

Research output per year 2006 2010 2013 2014 2015 2016 2024

• 23 Article
• 22 Conference Proceeding (Non-Journal item)
• 6 Paper
• 1 Edited book

Research output per year

Research output per year

Search results

• 2024

  Fuzzy Inference for Well Log Lithology Classification

  Fetherstonhaugh, S., Martin, J., Pearce, T., Mac Parthalain, N. & Akanyeti, O., 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. 89-102 14 p. (Advances in Intelligent Systems and Computing).

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

  • Physical Property of Rocks 100%
  • Petroleum Industry 100%

• Mixture Kernel-Based Fuzzy-Rough Feature Selection

  Song, X., Yue, G., Mac Parthalain, N. & Qu, Y., 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. 3-12 10 p. (Advances in Intelligent Systems and Computing).

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

  • Feature Extraction 100%
  • Selection Process 16%
  • Similarity Function 16%
  • Fuzzy Set 16%

• 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)

• Fuzzy Rough Sets for Self-Labelling: an Exploratory Analysis

  Vluymans, S., MacParthaláin, N., Cornelis, C. & Saeys, Y., Jul 2016, Fuzzy Rough Sets for Self-Labelling: an Exploratory Analysis.

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

  Open Access

  File
  2 Citations (Scopus)

  222 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)
• 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

  Dynamic feature selection with fuzzy-rough sets

  Diao, R., MacParthaláin, N. S. & Shen, Q., 2013, Proceedings of the 22nd International Conference on Fuzzy Systems. IEEE Press, p. 1-7 7 p.

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

  • Feature Selection 100%
  • Rough Fuzzy Set 50%
  • Benchmark 25%
  • Real World 25%
  • Training Instance 25%
  11 Citations (Scopus)

• Fuzzy-entropy based image congealing

  Parthaláin, N. M. & Strange, H., 08 Oct 2013, FUZZ-IEEE 2013 - 2013 IEEE International Conference on Fuzzy Systems. 6622302. (IEEE International Conference on Fuzzy Systems).

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

  • Images 100%
  • Entropy 66%
  • Image Alignment 50%
  • Objective Function 33%
  • Alignment 33%
  3 Citations (Scopus)

• 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)
• 2011

  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)

• Kernel-Based Fuzzy-Rough Nearest Neighbour Classification

  Qu, Y., Shang, C., Shen, Q., MacParthaláin, N. S. & Wu, W., 06 Sept 2011, Proceedings of the 20th IEEE International Conference on Fuzzy Systems. IEEE Press, p. 1523-1529 7 p.

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

  File

  • Rough Fuzzy Set 100%
  • Nearest Neighbour 75%
  • Kernel Method 50%
  • Roles 25%
  • Evaluation 25%
  20 Citations (Scopus)

  237 Downloads (Pure)
• 2010

  Extreme learning machine for mammographic rik analysis

  Qu, Y., Shen, Q., Mac Parthaláin, N. & Wu, W., 09 Nov 2010, 2010 UK Workshop on Computational Intelligence, UKCI 2010. 5625590. (2010 UK Workshop on Computational Intelligence, UKCI 2010).

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

  • Extreme Learning Machine 100%
  • Classification (Machine Learning) 33%
  • Classification Accuracy 16%
  • Trained Neural Network 16%
  • Accuracy 16%
  7 Citations (Scopus)

• Extreme Learning Machine for Mammographic Risk Analysis

  Wu, W., Shen, Q., Qu, Y. & MacParthaláin, N. S., Sept 2010, Proceedings of the 2010 UK Workshop on Computational Intelligence. IEEE Press

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

  File

  • Extreme Learning Machine 100%
  • Classification (Machine Learning) 20%
  • Classification Accuracy 20%
  • Trained Neural Network 20%
  • Accuracy 20%
  29 Downloads (Pure)

• Machine learning techniques and mammographic risk assessment

  Mac Parthaláin, N. & Zwiggelaar, R., 21 Jul 2010, Digital Mammography - 10th International Workshop, IWDM 2010, Proceedings. Martí, J., Oliver, A., Freixenet, J. & Martí, R. (eds.). p. 664-672 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6136 LNCS).

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

  Open Access

  • Breasts 100%
  • Classification 66%
  • Learning 66%
  • Risk Assessment 66%
  • Weakness 66%
  5 Citations (Scopus)
• 2009

  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

  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)