| A distance measure approach to exploring the rough set boundary region for attribute reduction N Parthaláin, Q Shen, R Jensen IEEE Transactions on Knowledge and Data Engineering 22 (3), 305-317, 2009 | 179 | 2009 |
| Exploring the boundary region of tolerance rough sets for feature selection N Mac Parthalain, Q Shen Pattern recognition 42 (5), 655-667, 2009 | 151 | 2009 |
| Unsupervised fuzzy-rough set-based dimensionality reduction N Mac Parthaláin, R Jensen Information Sciences 229, 106-121, 2013 | 90 | 2013 |
| Machine learning methods on exhaled volatile organic compounds for distinguishing COPD patients from healthy controls CO Phillips, Y Syed, N Mac Parthaláin, R Zwiggelaar, TC Claypole, ... Journal of breath research 6 (3), 036003, 2012 | 89 | 2012 |
| A novel behavioral model of the pasture-based dairy cow from GPS data using data mining and machine learning techniques ML Williams, N Mac Parthaláin, P Brewer, WPJ James, MT Rose Journal of dairy science 99 (3), 2063-2075, 2016 | 84 | 2016 |
| A systematic review of the prediction of hospital length of stay: Towards a unified framework K Stone, R Zwiggelaar, P Jones, N Mac Parthaláin PLOS Digital Health 1 (4), e0000017, 2022 | 82 | 2022 |
| Facial expression recognition in dynamic sequences: An integrated approach H Fang, N Mac Parthaláin, AJ Aubrey, GKL Tam, R Borgo, PL Rosin, ... Pattern Recognition 47 (3), 1271-1281, 2014 | 78 | 2014 |
| Towards scalable fuzzy–rough feature selection R Jensen, N Mac Parthaláin Information Sciences 323, 1-15, 2015 | 60 | 2015 |
| Rough-fuzzy rule interpolation C Chen, N Mac Parthaláin, Y Li, C Price, C Quek, Q Shen Information Sciences 351, 1-17, 2016 | 57 | 2016 |
| Fuzzy-rough approaches for mammographic risk analysis N Mac Parthaláin, R Jensen, Q Shen, R Zwiggelaar Intelligent Data Analysis 14 (2), 225-244, 2010 | 55 | 2010 |
| Short-term intra-subject variation in exhaled volatile organic compounds (VOCs) in COPD patients and healthy controls and its effect on disease classification C Phillips, N Mac Parthaláin, Y Syed, D Deganello, T Claypole, K Lewis Metabolites 4 (2), 300-318, 2014 | 48 | 2014 |
| Measures for unsupervised fuzzy-rough feature selection NM Parthaláin, R Jensen International Journal of Hybrid Intelligent Systems 7 (4), 249-259, 2010 | 47 | 2010 |
| Weight selection strategies for ordered weighted average based fuzzy rough sets S Vluymans, N Mac Parthaláin, C Cornelis, Y Saeys Information Sciences 501, 155-171, 2019 | 38 | 2019 |
| Simultaneous feature and instance selection using fuzzy-rough bireducts N Mac Parthaláin, R Jensen 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2013 | 35 | 2013 |
| Fuzzy entropy-assisted fuzzy-rough feature selection N Mac Parthaláin, R Jensen, Q Shen 2006 IEEE International Conference on Fuzzy Systems, 423-430, 2006 | 35 | 2006 |
| On rough sets, their recent extensions and applications N Mac Parthaláin, Q Shen The knowledge engineering review 25 (4), 365-395, 2010 | 32 | 2010 |
| Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallels Y Qu, Q Shen, N Mac Parthaláin, C Shang, W Wu International Journal of Approximate Reasoning 54 (1), 184-195, 2013 | 30 | 2013 |
| Kernel-based fuzzy-rough nearest neighbour classification Y Qu, C Shang, Q Shen, N Mac Parthaláin, W Wu 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 1523-1529, 2011 | 30 | 2011 |
| Feature grouping and selection: A graph-based approach L Zheng, F Chao, N Mac Parthaláin, D Zhang, Q Shen Information Sciences 546, 1256-1272, 2021 | 24 | 2021 |
| Fuzzy-rough set bireducts for data reduction N Mac Parthaláin, R Jensen, R Diao IEEE Transactions on Fuzzy Systems 28 (8), 1840-1850, 2019 | 23 | 2019 |
Qiang ShenDepartment of Computer Science, Aberystwyth University在 aber.ac.uk 的电子邮件经过验证
