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Shang-Ming Zhou
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Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling
SM Zhou, JQ Gan
Fuzzy sets and systems 159 (23), 3091-3131, 2008
3252008
Classifying mental tasks based on features of higher-order statistics from EEG signals in brain–computer interface
SM Zhou, JQ Gan, F Sepulveda
Information Sciences 178 (6), 1629-1640, 2008
2832008
Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers
SM Zhou, F Chiclana, RI John, JM Garibaldi
Fuzzy Sets and Systems 159 (24), 3281-3296, 2008
1772008
The effect of physical activity and motivation on function in ankylosing spondylitis: A cohort study
S Brophy, R Cooksey, H Davies, MS Dennis, SM Zhou, S Siebert
Seminars in arthritis and rheumatism 42 (6), 619-626, 2013
1142013
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface
H Raza, D Rathee, SM Zhou, H Cecotti, G Prasad
Neurocomputing 343, 154-166, 2019
1092019
Defining disease phenotypes in primary care electronic health records by a machine learning approach: a case study in identifying rheumatoid arthritis
SM Zhou, F Fernandez-Gutierrez, J Kennedy, R Cooksey, M Atkinson, ...
PloS one 11 (5), e0154515, 2016
1032016
No Increased Rate of Acute Myocardial Infarction or Stroke Among Patients with Ankylosing Spondylitis—A Retrospective Cohort Study Using Routine Data
S Brophy, R Cooksey, M Atkinson, SM Zhou, MJ Husain, S Macey, ...
Seminars in Arthritis and Rheumatism 42 (2), 140-145, 2012
972012
Guest EditorialIntegrated Healthcare Information Systems
L Li, RL Ge, SM Zhou, R Valerdi
IEEE Transactions on Information Technology in Biomedicine 16 (4), 515-517, 2012
832012
On aggregating uncertain information by type‐2 OWA operators for soft decision making
SM Zhou, RI John, F Chiclana, JM Garibaldi
International Journal of Intelligent Systems 25 (6), 540-558, 2010
822010
Alpha-level aggregation: a practical approach to type-1 OWA operation for aggregating uncertain information with applications to breast cancer treatments
SM Zhou, F Chiclana, RI John, JM Garibaldi
IEEE Transactions on Knowledge and Data Engineering 23 (10), 1455-1468, 2010
812010
Constructing L2-SVM-based fuzzy classifiers in high-dimensional space with automatic model selection and fuzzy rule ranking
SM Zhou, JQ Gan
IEEE Transactions on Fuzzy Systems 15 (3), 398-409, 2007
782007
On constructing parsimonious type-2 fuzzy logic systems via influential rule selection
SM Zhou, JM Garibaldi, RI John, F Chiclana
IEEE Transactions on Fuzzy Systems 17 (3), 654-667, 2008
762008
Introduction: Advances in IoT research and applications
P Wang, R Valerdi, S Zhou, L Li
Information Systems Frontiers 17, 239-241, 2015
752015
Incidence ofCampylobacterandSalmonellaInfections Following First Prescription for PPI: A Cohort Study Using Routine Data
S Brophy, KH Jones, MA Rahman, SM Zhou, A John, MD Atkinson, ...
Official journal of the American College of Gastroenterology| ACG 108 (7 …, 2013
722013
A new type of recurrent fuzzy neural network for modeling dynamic systems
SM Zhou, L Da Xu
Knowledge-Based Systems 14 (5-6), 243-251, 2001
722001
Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts
F Mata, LG Pérez, SM Zhou, F Chiclana
Knowledge-Based Systems 58, 11-22, 2014
702014
A comparison of explanations given by explainable artificial intelligence methods on analysing electronic health records
J Duell, X Fan, B Burnett, G Aarts, SM Zhou
2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021
632021
Type‐Reduction of General Type‐2 Fuzzy Sets: The Type‐1 OWA Approach
F Chiclana, SM Zhou
International Journal of Intelligent Systems 28 (5), 505–522, 2013
612013
Harnessing the power of machine learning in dementia informatics research: Issues, opportunities, and challenges
G Tsang, X Xie, SM Zhou
IEEE reviews in biomedical engineering 13, 113-129, 2019
582019
A novel Bayesian learning method for information aggregation in modular neural networks
P Wang, L Xu, SM Zhou, Z Fan, Y Li, S Feng
Expert Systems with Applications 37 (2), 1071-1074, 2010
582010
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