Shang-Ming Zhou

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14EEDavid Elizondo, Shang-Ming Zhou, Charalambos Chrysostomou: Surface Reconstruction Techniques Using Neural Networks to Recover Noisy 3D Scenes. ICANN (1) 2008: 857-866
13EEShang-Ming Zhou, Robert Ivor John, Xiao-Ying Wang, Jonathan M. Garibaldi, I. O. Ellis: Compact fuzzy rules induction and feature extraction using SVM with particle swarms for breast cancer treatments. IEEE Congress on Evolutionary Computation 2008: 1469-1475
12EEShang-Ming Zhou, John Q. Gan: Low-level interpretability and high-level interpretability: a unified view of data-driven interpretable fuzzy system modelling. Fuzzy Sets and Systems 159(23): 3091-3131 (2008)
11EEShang-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 and Systems 159(24): 3281-3296 (2008)
10EEShang-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): 1629-1640 (2008)
9EEWilliam Blewitt, Shang-Ming Zhou, Simon Coupland: A Novel Approach to Type-2 Fuzzy Addition. FUZZ-IEEE 2007: 1-6
8EEShang-Ming Zhou, Robert John, Francisco Chiclana, Jonathan M. Garibaldi: New Type-2 Rule Ranking Indices for Designing Parsimonious Interval Type-2 Fuzzy Logic Systems. FUZZ-IEEE 2007: 1-6
7EEShang-Ming Zhou, John Q. Gan: Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking. IEEE T. Fuzzy Systems 15(3): 398-409 (2007)
6EEJohn Q. Gan, Shang-Ming Zhou: A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models. ICIC (2) 2006: 183-194
5EEShang-Ming Zhou, John Q. Gan: Multiple Objective Learning for Constructing Interpretable Takagi-Sugeno Fuzzy Model. Multi-Objective Machine Learning 2006: 385-403
4EEShang-Ming Zhou, John Q. Gan: Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure. Fuzzy Sets and Systems 157(8): 1057-1074 (2006)
3EEShang-Ming Zhou, John Q. Gan: A new fuzzy relaxation algorithm for image enhancement. KES Journal 10(3): 181-192 (2006)
2EEShang-Ming Zhou, John Q. Gan: Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters. IDEAL 2004: 613-618
1EEShang-Ming Zhou, John Q. Gan: An Unsupervised Kernel Based Fuzzy C-Means Clustering Algorithm With Kernel Normalisation. International Journal of Computational Intelligence and Applications 4(4): 355-374 (2004)

Coauthor Index

1William Blewitt [9]
2Francisco Chiclana [8] [11]
3Charalambos Chrysostomou [14]
4Simon Coupland [9]
5David Elizondo [14]
6I. O. Ellis [13]
7John Q. Gan [1] [2] [3] [4] [5] [6] [7] [10] [12]
8Jonathan M. Garibaldi [8] [11] [13]
9Robert John [8]
10Robert Ivor John [11] [13]
11Francisco Sepulveda [10]
12Xiao-Ying Wang [13]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)