 | 2012 |
| 27 |  | Bashar Awwad Shiekh Hasan,
John Q. Gan:
Hangman BCI: An unsupervised adaptive self-paced Brain-Computer Interface for playing games.
Comp. in Bio. and Med. 42(5): 598-606 (2012) |
| 2011 |
| 26 |  | John Q. Gan,
Bashar Awwad Shiekh Hasan,
Chun Sing Louis Tsui:
A Hybrid Approach to Feature Subset Selection for Brain-Computer Interface Design.
IDEAL 2011: 279-286 |
| 25 |  | Ji Won Yoon,
Stephen J. Roberts,
Matthew Dyson,
John Q. Gan:
Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing.
Neural Networks 24(7): 726-734 (2011) |
| 2010 |
| 24 |  | Bashar Awwad Shiekh Hasan,
John Q. Gan,
Qingfu Zhang:
Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results.
IEEE Congress on Evolutionary Computation 2010: 1-6 |
| 23 |  | Bashar Awwad Shiekh Hasan,
John Q. Gan:
Unsupervised movement onset detection from EEG recorded during self-paced real hand movement.
Med. Biol. Engineering and Computing 48(3): 245-253 (2010) |
| 2009 |
| 22 |  | Bashar Awwad Shiekh Hasan,
John Q. Gan:
Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier.
MLDM 2009: 96-106 |
| 21 |  | Shang-Ming Zhou,
John Q. Gan,
Lida Xu,
Robert Ivor John:
Fuzziness index driven fuzzy relaxation algorithm and applications to image processing.
Annals OR 168(1): 119-131 (2009) |
| 20 |  | 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): 1191-1204 (2009) |
| 19 |  | Chun Sing Louis Tsui,
John Q. Gan,
Stephen J. Roberts:
A self-paced brain-computer interface for controlling a robot simulator: an online event labelling paradigm and an extended Kalman filter based algorithm for online training.
Med. Biol. Engineering and Computing 47(3): 257-265 (2009) |
| 18 |  | Ji Won Yoon,
Stephen J. Roberts,
Matthew Dyson,
John Q. Gan:
Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling.
Neural Networks 22(9): 1286-1294 (2009) |
| 2008 |
| 17 |  | 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 |
| 16 |  | 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) |
| 15 |  | 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 |
| 14 |  | Chun Sing Louis Tsui,
John Q. Gan:
Asynchronous BCI Control of a Robot Simulator with Supervised Online Training.
IDEAL 2007: 125-134 |
| 13 |  | 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) |
| 12 |  | John Q. Gan,
Eric M. Rosales:
Producing interpretable local models in parametric CMAC by regularization.
KES Journal 11(6): 399-408 (2007) |
| 2006 |
| 11 |  | Ben Wang,
John Q. Gan:
SC-Tree: An Efficient Structure for High-Dimensional Data Indexing.
BNCOD 2006: 164-176 |
| 10 |  | John Q. Gan,
Shang-Ming Zhou:
A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models.
ICIC (2) 2006: 183-194 |
| 9 |  | Shang-Ming Zhou,
John Q. Gan:
Multiple Objective Learning for Constructing Interpretable Takagi-Sugeno Fuzzy Model.
Multi-Objective Machine Learning 2006: 385-403 |
| 8 |  | 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) |
| 7 |  | Shang-Ming Zhou,
John Q. Gan:
A new fuzzy relaxation algorithm for image enhancement.
KES Journal 10(3): 181-192 (2006) |
| 2005 |
| 6 |  | Ben Wang,
John Q. Gan:
An Incremental Updating Method for Clustering-Based High-Dimensional Data Indexing.
CIS (1) 2005: 495-502 |
| 5 |  | Eimei Oyama,
Taro Maeda,
John Q. Gan,
Eric M. Rosales,
Karl F. MacDorman,
Susumu Tachi,
Arvin Agah:
Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems.
IROS 2005: 1791-1798 |
| 4 |  | 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 |  | 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 |  | Shang-Ming Zhou,
John Q. Gan:
Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters.
IDEAL 2004: 613-618 |
| 1 |  | 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) |