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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
3152008
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
2782008
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
1752008
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
992013
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
982019
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
932016
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
912012
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
872012
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
782010
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
742008
Introduction: Advances in IoT research and applications
P Wang, R Valerdi, S Zhou, L Li
Information Systems Frontiers 17, 239-241, 2015
722015
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
712001
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
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
702013
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
602013
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
Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models
JM Garibaldi, SM Zhou, XY Wang, RI John, IO Ellis
Journal of biomedical informatics 45 (3), 447-459, 2012
502012
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
482019
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