Shang-Ming Zhou

ORCID

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 9

Top Venues

University of Essex, Colchester, UK (PHD)

Education History

University of Essex, Colchester, UK

PHD

Publications

Omobolanle Omisade, Alexander E. Gegov, Shang-Ming Zhou, Alice Good, Catherine Tryfona, Sandeep Singh Sengar, Amie-Louise Prior, Bangli Liu, Taiwo Adedeji, Carrie M. Toptan
Explainable Artificial Intelligence and Mobile Health for Treating Eating Disorders in Young Adults with Autism Spectrum Disorder Based on the Theory of Change: A Mixed Method Protocol. FICTA (2) (2023)
Lin Huo, Lin Bai, Shang-Ming Zhou
Automatically Generating Natural Language Descriptions of Images by a Deep Hierarchical Framework. IEEE Trans. Cybern. 52 (8) (2022)
Shang-Ming Zhou, Francisco Chiclana, Robert I. John, Jonathan M. Garibaldi, Lin Huo
Type-1 OWA Operators in Aggregating Multiple Sources of Uncertain Information: Properties and Real-World Applications in Integrated Diagnosis. IEEE Trans. Fuzzy Syst. 29 (8) (2021)
Jamie Andrew Duell, Xiuyi Fan, Bruce Burnett, Gert Aarts, Shang-Ming Zhou
A Comparison of Explanations Given by Explainable Artificial Intelligence Methods on Analysing Electronic Health Records. BHI (2021)
Jamie Andrew Duell, Monika Seisenberger, Gert Aarts, Shang-Ming Zhou, Xiuyi Fan
Towards a Shapley Value Graph Framework for Medical peer-influence. CoRR (2021)
Marcin Kapcia, Hassan Eshkiki, Jamie Andrew Duell, Xiuyi Fan, Shang-Ming Zhou, Benjamin Mora
ExMed: An AI Tool for Experimenting Explainable AI Techniques on Medical Data Analytics. ICTAI (2021)
Haider Raza, Dheeraj Rathee, Shang-Ming Zhou, Hubert Cecotti, Girijesh Prasad
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface. Neurocomputing 343 (2019)
Haider Raza, Dheeraj Rathee, Shang-Ming Zhou, Hubert Cecotti, Girijesh Prasad
Covariate Shift Estimation based Adaptive Ensemble Learning for Handling Non-Stationarity in Motor Imagery related EEG-based Brain-Computer Interface. CoRR (2018)
David A. Elizondo, Shang-Ming Zhou, Charalambos Chrysostomou
Light source detection for digital images in noisy scenes: a neural network approach. Neural Comput. Appl. 28 (5) (2017)
Pan Wang, Ricardo Valerdi, Shang-Ming Zhou, Ling Li
Introduction: Advances in IoT research and applications. Inf. Syst. Frontiers 17 (2) (2015)
Jingjing Deng, Xianghua Xie, Shang-Ming Zhou
Conversational Interaction Recognition Based on Bodily and Facial Movement. ICIAR (1) (2014)
Wanli Ma, Dat Tran, Trung Le, Hong Lin, Shang-Ming Zhou
Using EEG artifacts for BCI applications. IJCNN (2014)
Shang-Ming Zhou, Muhammad A. Rahman, Mark D. Atkinson, Sinead Brophy
Mining textual data from primary healthcare records: Automatic identification of patient phenotype cohorts. IJCNN (2014)
Zu De Zhou, Ricardo Valerdi, Shang-Ming Zhou, Li Wang
Guest Editorial Special Section on IoT. IEEE Trans. Ind. Informatics 10 (2) (2014)
Francisco Mata, Luis G. Pérez, Shang-Ming Zhou, Francisco Chiclana
Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts. Knowl. Based Syst. 58 (2014)
Francisco Chiclana, Shang-Ming Zhou
Type-Reduction of General Type-2 Fuzzy Sets: The Type-1 OWA Approach. Int. J. Intell. Syst. 28 (5) (2013)
Jonathan M. Garibaldi, Shang-Ming Zhou, Xiao-Ying Wang, Robert Ivor John, Ian O. Ellis
Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models. J. Biomed. Informatics 45 (3) (2012)
Ling Li, Ri-Li Ge, Shang-Ming Zhou, Ricardo Valerdi
Guest EditorialIntegrated Healthcare Information Systems. IEEE Trans. Inf. Technol. Biomed. 16 (4) (2012)
Zu De Zhou, Ricardo Valerdi, Shang-Ming Zhou
Guest Editorial Special Section on Enterprise Systems. IEEE Trans. Ind. Informatics 8 (3) (2012)
Francisco Chiclana, Shang-Ming Zhou
The Type-1 OWA Operator and the Centroid of Type-2 Fuzzy Sets. EUSFLAT Conf. (2011)
Shang-Ming Zhou, Francisco Chiclana, Robert Ivor John, Jonathan M. Garibaldi
Alpha-Level Aggregation: A Practical Approach to Type-1 OWA Operation for Aggregating Uncertain Information with Applications to Breast Cancer Treatments. IEEE Trans. Knowl. Data Eng. 23 (10) (2011)
Shang-Ming Zhou, Robert Ivor John, Francisco Chiclana, Jonathan M. Garibaldi
On aggregating uncertain information by type-2 OWA operators for soft decision making. Int. J. Intell. Syst. 25 (6) (2010)
Shang-Ming Zhou, Ronan A. Lyons, Mike B. Gravenor
Construction of parsimonious Takagi-Sugeno fuzzy rule based model in characterising impacts of child health, socioeconomic deprivations on educational outcomes. FUZZ-IEEE (2010)
Pan Wang, Lida Xu, Shang-Ming Zhou, Zhun Fan, Youfeng Li, Shan Feng
A novel Bayesian learning method for information aggregation in modular neural networks. Expert Syst. Appl. 37 (2) (2010)
Shang-Ming Zhou, Ronan A. Lyons, Owen Bodger, Joanne C. Demmler, Mark D. Atkinson
SVM with entropy regularization and particle swarm optimization for identifying children's health and socioeconomic determinants of education attainments using linked datasets. IJCNN (2010)
Xiao-Ying Wang, Jonathan M. Garibaldi, Shang-Ming Zhou, Robert Ivor John
Methods of interpretation of a non-stationary fuzzy system for the treatment of breast cancer. FUZZ-IEEE (2009)
Shang-Ming Zhou, Jonathan M. Garibaldi, Francisco Chiclana, Robert Ivor John, Xiao-Ying Wang
Type-1 OWA operator based non-stationary fuzzy decision support systems for breast cancer treatments. FUZZ-IEEE (2009)
Shang-Ming Zhou, Jonathan M. Garibaldi, Robert Ivor John, Francisco Chiclana
On Constructing Parsimonious Type-2 Fuzzy Logic Systems via Influential Rule Selection. IEEE Trans. Fuzzy Syst. 17 (3) (2009)
Shang-Ming Zhou, John Q. Gan, Lida Xu, Robert Ivor John
Fuzziness index driven fuzzy relaxation algorithm and applications to image processing. Ann. Oper. Res. 168 (1) (2009)
Shang-Ming Zhou, John Q. Gan
Extracting Takagi-Sugeno Fuzzy Rules with Interpretable Submodels via Regularization of Linguistic Modifiers. IEEE Trans. Knowl. Data Eng. 21 (8) (2009)
Shang-Ming Zhou, Francisco Chiclana, Robert Ivor John, Jonathan M. Garibaldi
Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers. Fuzzy Sets Syst. 159 (24) (2008)
David A. Elizondo, Shang-Ming Zhou, Charalambos Chrysostomou
Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes. ICANN (1) (2008)
Shang-Ming Zhou, John Q. Gan
Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling. Fuzzy Sets Syst. 159 (23) (2008)
Shang-Ming Zhou, Robert Ivor John, Xiao-Ying Wang, Jonathan M. Garibaldi, Ian O. Ellis
Compact fuzzy rules induction and feature extraction using SVM with particle swarms for breast cancer treatments. IEEE Congress on Evolutionary Computation (2008)
Shang-Ming Zhou, Francisco Chiclana
Inducing linguistic weights for type-1 OWA operators in soft decision making. FUZZ-IEEE (2008)
Shang-Ming Zhou, John Q. Gan, Francisco Sepulveda
Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface. Inf. Sci. 178 (6) (2008)
Shang-Ming Zhou, Francisco Chiclana, Robert Ivor John, Jonathan M. Garibaldi
Type-2 OWA operators - aggregating type-2 fuzzy sets in soft decision making. FUZZ-IEEE (2008)
Shang-Ming Zhou, John Q. Gan, Lida Xu, Robert I. John
Interactive image enhancement by fuzzy relaxation. Int. J. Autom. Comput. 4 (3) (2007)
William Blewitt, Shang-Ming Zhou, Simon Coupland
A Novel Approach to Type-2 Fuzzy Addition. FUZZ-IEEE (2007)
Shang-Ming Zhou, Robert I. John, Francisco Chiclana, Jonathan M. Garibaldi
New Type-2 Rule Ranking Indices for Designing Parsimonious Interval Type-2 Fuzzy Logic Systems. FUZZ-IEEE (2007)
Shang-Ming Zhou, John Q. Gan
Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking. IEEE Trans. Fuzzy Syst. 15 (3) (2007)
Shang-Ming Zhou, John Q. Gan
Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure. Fuzzy Sets Syst. 157 (8) (2006)
John Q. Gan, Shang-Ming Zhou
A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models. ICIC (2) (2006)
Shang-Ming Zhou, John Q. Gan
A new fuzzy relaxation algorithm for image enhancement. Int. J. Knowl. Based Intell. Eng. Syst. 10 (3) (2006)
Shang-Ming Zhou, John Q. Gan
Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters. IDEAL (2004)
Shang-Ming Zhou, John Q. Gan
An Unsupervised Kernel Based Fuzzy C-Means Clustering Algorithm With Kernel Normalisation. Int. J. Comput. Intell. Appl. 4 (4) (2004)
Shang-Ming Zhou, John Q. Gan
Interpretability improvement of input space partitioning by merging fuzzy sets based on an entropy measure. FUZZ-IEEE (2004)
Shang-Ming Zhou, Hong-Xing Li, Lida Xu
A variational approach to intensity approximation for remote sensing images using dynamic neural networks. Expert Syst. J. Knowl. Eng. 20 (4) (2003)
Shang-Ming Zhou, Li Da Xu
A new type of recurrent fuzzy neural network for modeling dynamic systems. Knowl. Based Syst. 14 (5-6) (2001)
Shang-Ming Zhou, Li Da Xu
Dynamic recurrent neural networks for a hybrid intelligent decision support system for the metallurgical industry. Expert Syst. J. Knowl. Eng. 16 (4) (1999)

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Publication Activity (10 Years)

Top Topics

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Shang-Ming Zhou