| 2008 |
|---|
| 16 | EE | Ji Won Yoon,
Stephen J. Roberts,
Matthew Dyson,
John Q. Gan:
Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing.
IDEAL 2008: 370-377 |
| 15 | EE | 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 and Systems 159(23): 3091-3131 (2008) |
| 14 | EE | 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): 1629-1640 (2008) |
| 2007 |
|---|
| 13 | EE | Chun Sing Louis Tsui,
John Q. Gan:
Asynchronous BCI Control of a Robot Simulator with Supervised Online Training.
IDEAL 2007: 125-134 |
| 12 | EE | 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 T. Fuzzy Systems 15(3): 398-409 (2007) |
| 11 | EE | John Q. Gan,
Eric M. Rosales:
Producing interpretable local models in parametric CMAC by regularization.
KES Journal 11(6): 399-408 (2007) |
| 2006 |
|---|
| 10 | EE | Ben Wang,
John Q. Gan:
SC-Tree: An Efficient Structure for High-Dimensional Data Indexing.
BNCOD 2006: 164-176 |
| 9 | EE | John Q. Gan,
Shang-Ming Zhou:
A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models.
ICIC (2) 2006: 183-194 |
| 8 | EE | Shang-Ming Zhou,
John Q. Gan:
Multiple Objective Learning for Constructing Interpretable Takagi-Sugeno Fuzzy Model.
Multi-Objective Machine Learning 2006: 385-403 |
| 7 | EE | Shang-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) |
| 6 | EE | Shang-Ming Zhou,
John Q. Gan:
A new fuzzy relaxation algorithm for image enhancement.
KES Journal 10(3): 181-192 (2006) |
| 2005 |
|---|
| 5 | EE | Ben Wang,
John Q. Gan:
An Incremental Updating Method for Clustering-Based High-Dimensional Data Indexing.
CIS (1) 2005: 495-502 |
| 4 | EE | John Q. Gan,
Eimei Oyama,
Eric M. Rosales,
Huosheng Hu:
A complete analytical solution to the inverse kinematics of the Pioneer 2 robotic arm.
Robotica 23(1): 123-129 (2005) |
| 2004 |
|---|
| 3 | EE | Ben Wang,
John Q. Gan:
Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query.
IDEAL 2004: 191-196 |
| 2 | EE | Shang-Ming Zhou,
John Q. Gan:
Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters.
IDEAL 2004: 613-618 |
| 1 | EE | Shang-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) |
