Dr Richard Jensen
BSc (Lancaster), MSc (Edinburgh), PhD (Edinbu
Darlithydd
Manylion Cyswllt
- Ebost: rkj@aber.ac.uk
- ORCID: 0000-0002-1016-1524
- Swyddfa: C44, Adeilad Llandinam
- Ffôn: +44 (0) 1970 628510
- Gwefan Personol: http://users.aber.ac.uk/rkj/site/
- Google Scholar: https://scholar.google.co.uk/citations?user=_nYdqsoAAAAJ
- Proffil Porth Ymchwil
Dysgu
Module Coordinator
Moderator
- CS36110 - Fundamentals of Machine Learning
- CSM6120 - Fundamentals of Intelligent Systems
- CS36220 - Machine Learning
Lecturer
Coordinator
Tutor
Grwpiau Ymchwil
Cyhoeddiadau
Jensen, R, Mac Parthalain, N, Amiri, M & Cassens, J 2024, Noisy Instance Removal Using OWA-Based Fuzzy-Rough Sets. in G Panoutsos, M Mahfouf & LS Mihaylova (eds), ADVANCES IN COMPUTATIONAL INTELLIGENCE SYSTEMS, UKCI 2022. vol. 1454, Advances in Intelligent Systems and Computing, Springer Nature, GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND, pp. 37-48. 10.1007/978-3-031-55568-84
Jansen, T, Jensen, R, MacParthaláin, N & Lin, C-M (eds) 2021, Advances in Computational Intelligence Systems: Contributions Presented at the 20th UK Workshop on Computational Intelligence, September 8-10, 2021, Aberystwyth, Wales, UK. Advances in Intelligent Systems and Computing, vol. 1409, Springer Nature. 10.1007/978-3-030-87094-2
MacParthaláin, N, Jensen, R & Diao, R 2020, 'Fuzzy-Rough Set Bireducts for Data Reduction', IEEE Transactions on Fuzzy Systems, vol. 28, no. 8, 8740984, pp. 1840-1850. 10.1109/TFUZZ.2019.2921935
Jensen, R, Amiri, M & Parthalain, NM 2019, Effective instance selection using the fuzzy-rough lower approximation. in 2019 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE., 8858799, IEEE International Conference on Fuzzy Systems, vol. 2019, IEEE Press, Fuzzy Systems, New Orleans, United States of America, 23 Jun 2019. 10.1109/FUZZ-IEEE.2019.8858799
Moayedikia, A, Ong, K-L, Boo, YL, Yeoh, WGS & Jensen, R 2017, 'Feature selection for high dimensional imbalanced class data using harmony search', Engineering Applications of Artificial Intelligence, vol. 57, pp. 38-49. 10.1016/j.engappai.2016.10.008
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