Shang-Ming Zhou
Orcid: 0000-0002-0719-9353Affiliations:
- Swansea University, UK
According to our database1,
Shang-Ming Zhou
authored at least 52 papers
between 1999 and 2023.
Collaborative distances:
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Bibliography
2023
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.
Proceedings of the Intelligent Data Engineering and Analytics, 2023
2022
Automatically Generating Natural Language Descriptions of Images by a Deep Hierarchical Framework.
IEEE Trans. Cybern., 2022
2021
Type-1 OWA Operators in Aggregating Multiple Sources of Uncertain Information: Properties and Real-World Applications in Integrated Diagnosis.
IEEE Trans. Fuzzy Syst., 2021
ExMed: An AI Tool for Experimenting Explainable AI Techniques on Medical Data Analytics.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021
A Comparison of Explanations Given by Explainable Artificial Intelligence Methods on Analysing Electronic Health Records.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2019
Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface.
Neurocomputing, 2019
2017
Light source detection for digital images in noisy scenes: a neural network approach.
Neural Comput. Appl., 2017
2015
2014
Type-1 OWA methodology to consensus reaching processes in multi-granular linguistic contexts.
Knowl. Based Syst., 2014
Mining textual data from primary healthcare records: Automatic identification of patient phenotype cohorts.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014
2013
Int. J. Intell. Syst., 2013
2012
IEEE Trans. Inf. Technol. Biomed., 2012
IEEE Trans. Ind. Informatics, 2012
Incorporation of expert variability into breast cancer treatment recommendation in designing clinical protocol guided fuzzy rule system models.
J. Biomed. Informatics, 2012
2011
Fuzzification of the OWA Operators for Aggregating Uncertain Information with Uncertain Weights.
Proceedings of the Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice, 2011
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., 2011
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011
2010
On aggregating uncertain information by type-2 OWA operators for soft decision making.
Int. J. Intell. Syst., 2010
A novel Bayesian learning method for information aggregation in modular neural networks.
Expert Syst. Appl., 2010
SVM with entropy regularization and particle swarm optimization for identifying children's health and socioeconomic determinants of education attainments using linked datasets.
Proceedings of the International Joint Conference on Neural Networks, 2010
Construction of parsimonious Takagi-Sugeno fuzzy rule based model in characterising impacts of child health, socioeconomic deprivations on educational outcomes.
Proceedings of the FUZZ-IEEE 2010, 2010
2009
Extracting Takagi-Sugeno Fuzzy Rules with Interpretable Submodels via Regularization of Linguistic Modifiers.
IEEE Trans. Knowl. Data Eng., 2009
On Constructing Parsimonious Type-2 Fuzzy Logic Systems via Influential Rule Selection.
IEEE Trans. Fuzzy Syst., 2009
Fuzziness index driven fuzzy relaxation algorithm and applications to image processing.
Ann. Oper. Res., 2009
Type-1 OWA operator based non-stationary fuzzy decision support systems for breast cancer treatments.
Proceedings of the FUZZ-IEEE 2009, 2009
Methods of interpretation of a non-stationary fuzzy system for the treatment of breast cancer.
Proceedings of the FUZZ-IEEE 2009, 2009
2008
Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface.
Inf. Sci., 2008
Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling.
Fuzzy Sets Syst., 2008
Type-1 OWA operators for aggregating uncertain information with uncertain weights induced by type-2 linguistic quantifiers.
Fuzzy Sets Syst., 2008
Proceedings of the Artificial Neural Networks, 2008
Proceedings of the FUZZ-IEEE 2008, 2008
Proceedings of the FUZZ-IEEE 2008, 2008
Compact fuzzy rules induction and feature extraction using SVM with particle swarms for breast cancer treatments.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008
2007
Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking.
IEEE Trans. Fuzzy Syst., 2007
New Type-2 Rule Ranking Indices for Designing Parsimonious Interval Type-2 Fuzzy Logic Systems.
Proceedings of the FUZZ-IEEE 2007, 2007
2006
Multiple Objective Learning for Constructing Interpretable Takagi-Sugeno Fuzzy Model.
Proceedings of the Multi-Objective Machine Learning, 2006
Machine learning and intelligent data analysis for interpretable neuro-fuzzy system modelling.
PhD thesis, 2006
Int. J. Knowl. Based Intell. Eng. Syst., 2006
Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure.
Fuzzy Sets Syst., 2006
A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models.
Proceedings of the Computational Intelligence, 2006
2004
An Unsupervised Kernel Based Fuzzy C-Means Clustering Algorithm With Kernel Normalisation.
Int. J. Comput. Intell. Appl., 2004
Proceedings of the Intelligent Data Engineering and Automated Learning, 2004
Interpretability improvement of input space partitioning by merging fuzzy sets based on an entropy measure.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
2003
A variational approach to intensity approximation for remote sensing images using dynamic neural networks.
Expert Syst. J. Knowl. Eng., 2003
2001
Knowl. Based Syst., 2001
1999
Dynamic recurrent neural networks for a hybrid intelligent decision support system for the metallurgical industry.
Expert Syst. J. Knowl. Eng., 1999