Professor John Gan

Savran Kızıltepe, R., Gan, JQ. and Escobar, JJ., (2023). A novel keyframe extraction method for video classification using deep neural networks. Neural Computing and Applications. 35 (34), 24513-24524

Gu, L., Jiang, J., Han, H., Gan, JQ. and Wang, H., (2023). Recognition of unilateral lower limb movement based on EEG signals with ERP-PCA analysis.. Neuroscience Letters. 800, 137133-137133

Wang, H., Jiang, J., Gan, JQ. and Wang, H., (2023). Motor Imagery EEG Classification Based on a Weighted Multi-branch Structure Suitable for Multisubject Data. IEEE Transactions on Biomedical Engineering. 70 (11), 3040-3051

Tan, X., Qi, J., Gan, JQ., Zhang, J., Guo, C., Wan, F. and Wang, K., (2023). Multi-filter semi-supervised transformer model for fault diagnosis. Engineering Applications of Artificial Intelligence. 124, 106498-106498

Zhang, R., Rong, R., Gan, JQ., Xu, Y., Wang, H. and Wang, X., (2023). Reliable and fast automatic artifact rejection of Long-Term EEG recordings based on Isolation Forest. Medical and Biological Engineering and Computing. 62 (2), 521-535

Han, H., Li, X., Gan, JQ., Yu, H. and Wang, H., (2022). Biomarkers Derived from Alterations in Overlapping Community Structure of Resting-state Brain Functional Networks for Detecting Alzheimer's Disease.. Neuroscience. 484, 38-52

Aquino-Brítez, D., Ortiz, A., Ortega, J., León, J., Formoso, M., Gan, JQ. and Escobar, JJ., (2021). Optimization of Deep Architectures for EEG Signal Classification: An AutoML Approach Using Evolutionary Algorithms. Sensors. 21 (6), 2096-2096

Hung, S-K. and Gan, JQ., (2021). Small facial image dataset augmentation using conditional GANs based on incomplete edge feature input. PeerJ Computer Science. 7, e760-e760

Ju, Z., Liu, J., Huang, YA., Kubota, N. and Gan, JQ., (2020). Neural Networks and Learning Systems for Human Machine Interfacing. Neurocomputing. 390, 196-197

Talukdar, U., Hazarika, SM. and Gan, JQ., (2020). Adaptation of Common Spatial Patterns based on mental fatigue for motor-imagery BCI. Biomedical Signal Processing and Control. 58, 101829-101829

Zhang, L., Gan, JQ., Zhu, Y., Wang, J. and Wang, H., (2020). EEG source-space synchrostate transitions and Markov modeling in the math-gifted brain during a long-chain reasoning task. Human Brain Mapping. 41 (13), 3620-3636

Talukdar, U., Hazarika, SM. and Gan, JQ., (2020). Adaptive feature extraction in EEG-based motor imagery BCI: tracking mental fatigue. Journal of Neural Engineering. 17 (1), 016020-016020

León, J., Escobar, JJ., Ortiz, A., Ortega, J., González, J., Martín-Smith, P., Gan, JQ. and Damas, M., (2020). Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off. PLoS One. 15 (6), e0234178-e0234178

Talukdar, U., Hazarika, SM. and Gan, JQ., (2019). Motor imagery and mental fatigue: inter-relationship and EEG based estimation. Journal of Computational Neuroscience. 46 (1), 55-76

González, J., Ortega, J., Damas, M., Martín-Smith, P. and Gan, JQ., (2019). A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI. Neurocomputing. 333, 407-418

Phukan, N., Kakoty, NM., Shivam, P. and Gan, JQ., (2019). Finger movements recognition using minimally redundant features of wavelet denoised EMG. Health and Technology. 9 (4), 579-593

Almulla Khalaf, MI. and Gan, JQ., (2019). A three-stage learning algorithm for deep multilayer perceptron with effective weight initialisation based on sparse auto-encoder. Artificial Intelligence Research. 8 (1), 41-41

Li, X., Gan, JQ. and Wang, H., (2018). Collective sparse symmetric non-negative matrix factorization for identifying overlapping communities in resting-state brain functional networks. NeuroImage. 166, 259-275

Zhang, L., Gan, JQ., Zheng, W. and Wang, H., (2018). Spatiotemporal Phase Synchronization in Adaptive Reconfiguration from Action Observation Network to Mentalizing Network for Understanding Other’s Action Intention. Brain Topography. 31 (3), 447-467

Wang, L., Gan, JQ., Zhang, L. and Wang, H., (2018). Differential recruitment of brain networks in single-digit addition and multiplication: Evidence from EEG oscillations in theta and lower alpha bands. International Journal of Psychophysiology. 128, 81-92

Talukdar, U., Hazarika, SM. and Gan, JQ., (2018). A Kernel Partial Least Square Based Feature Selection Method. Pattern Recognition. 83, 91-106

Zhang, L., Gan, JQ. and Wang, H., (2017). Neurocognitive mechanisms of mathematical giftedness: A literature review. Applied Neuropsychology: Child. 6 (1), 79-94

Martín-Smith, P., Ortega, J., Asensio-Cubero, J., Gan, JQ. and Ortiz, A., (2017). A supervised filter method for multi-objective feature selection in EEG classification based on multi-resolution analysis for BCI. Neurocomputing. 250, 45-56

Asensio-Cubero, J., Gan, JQ. and Palaniappan, R., (2016). Multiresolution analysis over graphs for a motor imagery based online BCI game. Computers in Biology and Medicine. 68, 21-26

Ortega, J., Asensio-Cubero, J., Gan, JQ. and Ortiz, A., (2016). Classification of motor imagery tasks for BCI with multiresolution analysis and multiobjective feature selection. BioMedical Engineering OnLine. 15 (S1), 73-

Kakoty, NM., Hazarika, SM. and Gan, JQ., (2016). EMG Feature Set Selection Through Linear Relationship for Grasp Recognition. Journal of Medical and Biological Engineering. 36 (6), 883-890

Zhang, L., Gan, JQ. and Wang, H., (2015). Mathematically gifted adolescents mobilize enhanced workspace configuration of theta cortical network during deductive reasoning. Neuroscience. 289, 334-348

Zhang, L., Gan, JQ. and Wang, H., (2015). Localization of neural efficiency of the mathematically gifted brain through a feature subset selection method. Cognitive Neurodynamics. 9 (5), 495-508

Tan, X-M., Chen, M-Y. and Gan, JQ., (2015). A co-training algorithm based on modified Fisher's linear discriminant analysis. Intelligent Data Analysis. 19 (2), 279-292

Plansangket, S. and Gan, JQ., (2015). A query suggestion method combining TF-IDF and Jaccard Coefficient for interactive web search. Artificial Intelligence Research. 4 (2)

Gan, JQ., Awwad Shiekh Hasan, B. and Tsui, CSL., (2014). A filter-dominating hybrid sequential forward floating search method for feature subset selection in high-dimensional space. International Journal of Machine Learning and Cybernetics. 5 (3), 413-423

Tan, X., (2014). A Batch-mode Active Learning Method Based on the Nearest Average-class Distance (NACD) for Multiclass Brain-Computer Interfaces. Journal of Fiber Bioengineering and Informatics. 7 (4), 627-636

Nia, HFG., Hu, O. and Gan, JQ., (2014). A novel fuzzy logic approach to online exposure time calculation of line scan cameras in industrial inspection. International Journal of Modelling, Identification and Control. 21 (1), 8-8

Zhang, L., Gan, JQ. and Wang, H., (2014). Optimized gamma synchronization enhances functional binding of fronto-parietal cortices in mathematically gifted adolescents during deductive reasoning. Frontiers in Human Neuroscience. 8 (430), 430-

Asensio-Cubero, J., Gan, JQ. and Palaniappan, R., (2013). Multiresolution analysis over simple graphs for brain computer interfaces. Journal of Neural Engineering. 10 (4), 046014-046014

Asensio-Cubero, J., Gan, JQ. and Palaniappan, R., (2013). Extracting optimal tempo-spatial features using local discriminant bases and common spatial patterns for brain computer interfacing. Biomedical Signal Processing and Control. 8 (6), 772-778

Oskoei, MA., Hu, H. and Gan, JQ., (2013). Feature-channel subset selection for optimising myoelectric human-machine interface design. International Journal of Biomechatronics and Biomedical Robotics. 2 (2/3/4), 195-208

Oskoei, MA., Hu, H. and Gan, JQ., (2013). Feature-channel subset selection for optimising myoelectric human-machine interface design. International Journal of Biomechatronics and Biomedical Robotics. 2 (2/3/4), 195-208

Hasan, BAS. and Gan, JQ., (2012). Hangman BCI: An unsupervised adaptive self-paced Brain–Computer Interface for playing games. Computers in Biology and Medicine. 42 (5), 598-606

Amorim, R., Mirkin, B. and Gan, JQ., (2012). Anomalous pattern based clustering of mental tasks with subject independent learning – some preliminary results. Artificial Intelligence Research. 1 (1), 55-55

Hasan, BAS. and Gan, JQ., (2011). Conditional random fields as classifiers for three-class motor-imagery brain–computer interfaces. Journal of Neural Engineering. 8 (2), 025013-025013

Yoon, JW., Roberts, SJ., Dyson, M. and Gan, JQ., (2011). Bayesian inference for an adaptive Ordered Probit model: An application to Brain Computer Interfacing. Neural Networks. 24 (7), 726-734

Hasan, BAS. and Gan, JQ., (2011). Temporal modeling of EEG during self-paced hand movement and its application in onset detection. Journal of Neural Engineering. 8 (5), 056015-056015

Tsui, CSL., Gan, JQ. and Hu, H., (2011). A Self-Paced Motor Imagery Based Brain-Computer Interface for Robotic Wheelchair Control. Clinical EEG and Neuroscience. 42 (4), 225-229

Hasan, BAS. and Gan, JQ., (2011). Conditional random fields as classifiers for 3-class motor-imagery brain-computer interfaces. Journal of Neural Engineering. 8 (2), creators-Gan=3AJohn_Q=3A=3A

Hasan, BAS. and Gan, JQ., (2011). Temporal modeling of EEG during self-paced hand movement and its application in onset detection. Journal of Neural Engineering. 8 (5), creators-Gan=3AJohn_Q=3A=3A

Dyson, M., Sepulveda, F. and Gan, JQ., (2010). Localisation of cognitive tasks used in EEG-based BCIs. Clinical Neurophysiology. 121 (9), 1481-1493

Awwad Shiekh Hasan, B. and Gan, JQ., (2010). Unsupervised movement onset detection from EEG recorded during self-paced real hand movement. Medical & Biological Engineering & Computing. 48 (3), 245-253

Tao Geng and Gan, JQ., (2010). Planar Biped Walking With an Equilibrium Point Controller and State Machines. IEEE/ASME Transactions on Mechatronics. 15 (2), 253-260

Geng, T., Gan, JQ. and Hu, H., (2010). A self-paced online BCI for mobile robot control. International Journal of Advanced Mechatronic Systems. 2 (1-2), 28-35

Geng, T., Gan, JQ. and Hu, H., (2010). A self-paced online BCI for mobile robot control. International Journal of Advanced Mechatronic Systems. 2 (1-2), 28-35

Tsui, CSL., Gan, JQ. and Roberts, SJ., (2009). 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. Medical & Biological Engineering & Computing. 47 (3), 257-265

Oskoei, MA., Gan, JQ. and Huosheng Hu, (2009). Adaptive schemes applied to online SVM for BCI data classification. 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2009, 2600-2603

Shang-Ming Zhou and Gan, JQ., (2009). Extracting Takagi-Sugeno Fuzzy Rules with Interpretable Submodels via Regularization of Linguistic Modifiers. IEEE Transactions on Knowledge and Data Engineering. 21 (8), 1191-1204

Yoon, JW., Roberts, SJ., Dyson, M. and Gan, JQ., (2009). Adaptive classification for Brain Computer Interface systems using Sequential Monte Carlo sampling. Neural Networks. 22 (9), 1286-1294

Geng, T., Gan, JQ., Dyson, M., Tsui, CSL. and Sepulveda, F., (2008). A Novel Design of 4-Class BCI Using Two Binary Classifiers and Parallel Mental Tasks. Computational Intelligence and Neuroscience. 2008, 1-5

Zhou, S-M. and Gan, JQ., (2008). 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

Zhou, S-M., Gan, JQ. and Sepulveda, F., (2008). Classifying mental tasks based on features of higher-order statistics from EEG signals in brain–computer interface. Information Sciences. 178 (6), 1629-1640

Gan, JQ. and Rosales, EM., (2008). Producing interpretable local models in parametric CMAC by regularization. International Journal of Knowledge-based and Intelligent Engineering Systems. 11 (6), 399-408

Zhou, S., Gan, JQ. and Sepulveda, F., (2008). Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface. Information Sciences. 178 (6), 1639-1640

Geng, T., Gan, JQ., Dyson, M., Tui, SSL. and Sepulveda, F., (2008). A novel design of 4-class BCI using two binary classifiers and parallel mental tasks. Computational Intelligence and Neuroscience. 2008, creators-Sepulveda=3AFrancisco=3A=3A

Geng, T., Dyson, M., Tsui, CSL. and Gan, JQ., (2007). A 3-class Asynchronous BCI Controlling A Simulated Mobile Robot. 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2007, 2524-2527

Sepulveda, F., Dyson, M., Gan, JQ. and Tsui, CSL., (2007). A Comparison of Mental Task Combinations for Asynchronous EEG-Based BCIs. 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2007, 5055-5058

Zhou, S-M. and Gan, JQ., (2007). Constructing L2-SVM-Based Fuzzy Classifiers in High-Dimensional Space With Automatic Model Selection and Fuzzy Rule Ranking. IEEE Transactions on Fuzzy Systems. 15 (3), 398-409

Zhou, S-M., Gan, JQ., Xu, L-D. and John, R., (2007). Interactive image enhancement by fuzzy relaxation. International Journal of Automation and Computing. 4 (3), 229-235

Zhou, S-M. and Gan, JQ., (2006). Constructing accurate and parsimonious fuzzy models with distinguishable fuzzy sets based on an entropy measure. Fuzzy Sets and Systems. 157 (8), 1057-1074

Zhou, S-M. and Gan, J., (2006). Multiple Objective Learning for Constructing Interpretable Takagi-Sugeno Fuzzy Model. Studies in Computational Intelligence. 16, 385-403

Zhou, S-M. and Gan, JQ., (2006). A new fuzzy relaxation algorithm for image enhancement. International Journal of Knowledge-based and Intelligent Engineering Systems. 10 (3), 181-192

Gan, JQ., Oyama, E., Rosales, EM. and Hu, H., (2005). A complete analytical solution to the inverse kinematics of the Pioneer 2 robotic arm. Robotica. 23 (1), 123-129

Harris, CJ. and Gan, Q., (2001). State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models. Information Fusion. 2 (1), 17-29

Qiang Gan and Harris, CJ., (2001). A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling. IEEE Transactions on Neural Networks. 12 (1), 43-53

Qiang Gan and Harris, CJ., (1999). Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). 29 (6), 802-817

Qiang Gan and Harris, CJ., (1999). Fuzzy local linearization and local basis function expansion in nonlinear system modeling. IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). 29 (4), 559-565

Gan, Q., Saratchandran, P., Sundararajan, N. and Subramanian, KR., (1999). A complex valued radial basis function network for equalization of fast time varying channels. IEEE Transactions on Neural Networks. 10 (4), 958-960

Harris, C., (1999). Neurofuzzy State Estimators and Their Applications. Annual Reviews in Control. 23 (1), 149-158

Zhou, J., Gan, Q., Krzyżak, A. and Suen, CY., (1999). Recognition of handwritten numerals by Quantum Neural Network with fuzzy features. International Journal on Document Analysis and Recognition. 2 (1), 30-36

Wang, J-S., Gan, Q., Wei, Y. and Xie, L., (1999). Cellular neural networks with opposite-sign templates for image thinning. International Journal of Circuit Theory and Applications. 27 (2), 229-240

Peng, Sha, Gan and Wei, (1998). Energy function for learning invariance in multilayerperceptron. Electronics Letters. 34 (3), 292-294

Peng, H., Gan, Q. and Wei, Y., (1998). Several realistic approaches to improve the generalization of feedforward neural networks. Tien Tzu Hsueh Pao/Acta Electronica Sinica. 26 (4), 116-119

Peng, Sha, Gan and Wei, (1998). Combining adaptive sigmoid packet and trace neuralnetworkfor fast invariance-learning. Electronics Letters. 34 (9), 898-900

Yu Wei, Zuhong Lu, Chunwei Yuan and Qiang Gan, (1997). Molecular electronics: strategies and progress in China. IEEE Engineering in Medicine and Biology Magazine. 16 (4), 53-61

Wang, J. and Gan, Q., (1997). Thinning-like property of CNN with opposite-sign templates and its applications. Tien Tzu Hsueh Pao/Acta Electronica Sinica. 25 (4), 39-43

Wang, J., Gan, Q. and Wei, Y., (1997). Fractal cellular neural networks for associative memory. Tien Tzu Hsueh Pao/Acta Electronica Sinica. 25 (2), 107-109

Gan, Q., Subramanian, R., Sundararajan, N. and Saratchandran, P., (1996). Design for centres of RBF neural networks for fasttime-varying channel equalisation. Electronics Letters. 32 (25), 2333-2334

Wang, J., Gan, Q. and Wei, Y., (1996). Cellular neural networks with multi-step output function. Tien Tzu Hsueh Pao/Acta Electronica Sinica. 24 (5), 103-106

Junsheng Wang, Qiang Gan and Yu Wei, (1995). Stability of CNN with opposite-sign templates and nonunity gain output functions. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications. 42 (7), 404-408

Gan, Q. and Wei, Y., (1992). Neuron model with potential applications in pulse-stream neural nets. Electronics Letters. 28 (8), 755-756

Gan, Q., Sha, F. and Wei, Y., (1992). A mathematical neuron model with dynamically adjustable threshold and refractory period. Network: Computation in Neural Systems. 3 (4), 415-422

Izwan Heroza, R., Raza, H. and Gan, J., (2023). SIA-SMOTE: A SMOTE-based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network

Hung, S-K. and Gan, JQ., (2022). Boosting Facial Emotion Recognition by Using GANs to Augment Small Facial Expression Dataset

Hung, S-K. and Gan, JQ., (2021). Augmentation of Small Training Data Using GANs for Enhancing the Performance of Image Classification

Hung, S-K. and Gan, JQ., (2021). Facial Image Augmentation from Sparse Line Features Using Small Training Data

Sun, Y., Pu, D., Gu, D., Gan, JQ. and Yang, K., (2020). A Rough Set Classifier Based on Discretization and Attribute Selection

Kızıltepe, RS. and Gan, JQ., (2020). Simple Effective Methods for Decision-Level Fusion in Two-Stream Convolutional Neural Networks for Video Classification

Basbrain, A. and Gan, JQ., (2020). One-Shot Only Real-Time Video Classification: A Case Study in Facial Emotion Recognition

Jacutprakart, J., Savran Kiziltepe, R., Gan, J., Papanastasiou, G. and Garcia Seco De Herrera, A., (2020). Essex-NLIP at MediaEval Predicting MediaMemorability 2020 Task

Savran Kızıltepe, R., Gan, JQ. and Escobar, JJ., (2019). Combining Very Deep Convolutional Neural Networks and Recurrent Neural Networks for Video Classification

Escobar, JJ., Ortega, J., Damas, M., Kızıltepe, RS. and Gan, JQ., (2019). Energy-Time Analysis of Convolutional Neural Networks Distributed on Heterogeneous Clusters for EEG Classification

Khalaf, MIAA. and Gan, JQ., (2018). Deep Classifier Structures with Autoencoder for Higher-level Feature Extraction

Wang, L. and Gan, JQ., (2018). Prediction of the 2017 French Election Based on Twitter Data Analysis Using Term Weighting

Basbrain, AM., Gan, JQ., Sugimoto, A. and Clark, A., (2018). A Neural Network Approach to Score Fusion for Emotion Recognition

Ortega, J., Ortiz, A., Martín-Smith, P., Gan, JQ. and González-Peñalver, J., (2017). Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis

Ortega, J., Kimovski, D., Gan, JQ., Ortiz, A. and Damas, M., (2017). A Parallel Island Approach to Multiobjective Feature Selection for Brain-Computer Interfaces

Basbrain, AM., Gan, JQ. and Clark, A., (2017). Accuracy enhancement of the viola-jones algorithm for thermal face detection

Wu, Y., Gan, JQ. and Wang, H., (2017). Identifying Intrinsic Phase Lag in EEG Signals from the Perspective of Wilcoxon Signed-Rank Test

Basbrain, AM., Al-Taie, I., Azeez, N., Gan, JQ. and Clark, A., (2017). Shallow convolutional neural network for eyeglasses detection in facial images

Wang, L. and Gan, JQ., (2017). Prediction of the 2017 French election based on Twitter data analysis

Saikia, A., Khan, MA., Pusph, S., Tauhidi, SI., Bhattacharyya, R., Hazarika, SM. and Gan, JQ., (2016). cBDI-based Collaborative Control for a Robotic Wheelchair

Abdulhussain, MI. and Gan, JQ., (2016). Class-specific pre-trained sparse autoencoders for learning effective features for document classification

Abdulhussain, MI. and Gan, JQ., (2015). An experimental investigation on PCA based on cosine similarity and correlation for text feature dimensionality reduction

Mouli, S., Palaniappan, R., Sillitoe, IP. and Gan, JQ., (2015). Quantification of SSVEP responses using multi-chromatic LED stimuli: Analysis on colour, orientation and frequency

Martín-Smith, P., Ortega, J., Asensio-Cubero, J., Gan, JQ. and Ortiz, A., (2015). A Label-Aided Filter Method for Multi-objective Feature Selection in EEG Classification for BCI

Plansangket, S. and Gan, JQ., (2015). A new term weighting scheme based on class specific document frequency for document representation and classification

Ortega, J., Asensio-Cubero, J., Gan, JQ. and Ortiz, A., (2015). Evolutionary Multiobjective Feature Selection in Multiresolution Analysis for BCI

Wang, L., Gan, JQ. and Wang, H., (2014). CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication

Asensio-Cubero, J., Gan, JQ. and Palaniappan, R., (2014). Wavelet Lifting over Information-Based EEG Graphs for Motor Imagery Data Classification

Plansangket, S. and Q. Gan, J., (2014). Performance Evaluation of State-of-the-Art Ranked Retrieval Methods and Their Combinations for Query Suggestion

(2014). Multiresolution Analysis of an Information based EEG Graph Representation for Motor Imagery Brain Computer Interfaces

Mouli, S., Palaniappan, R., Sillitoe, IP. and Gan, JQ., (2013). Performance analysis of multi-frequency SSVEP-BCI using clear and frosted colour LED stimuli

Zhang, L., Wang, H. and Gan, JQ., (2013). EEG-Based Cortical Localization of Neural Efficiency Related to Mathematical Giftedness

Asensio-Cubero, J., Gan, JQ. and Palaniappan, R., (2012). Extracting common spatial patterns based on wavelet lifting for brain computer interface design

Al Moubayed, N., Hasan, BAS., Gan, JQ., Petrovski, A. and McCall, J., (2012). Continuous presentation for multi-objective channel selection in Brain-Computer Interfaces

Gan, JQ., Awwad Shiekh Hasan, B. and Tsui, CSL., (2011). A Hybrid Approach to Feature Subset Selection for Brain-Computer Interface Design

Asensio-Cubero, J., Galvan, E., Panlaniappan, R. and Gan, JQ., (2011). Wavelet design by means of multi-objective GAs for motor imagery EEG analysis

Asensio-Cubero, J., Palaniappan, R. and Gan, JQ., (2011). A study on temporal segmentation strategies for extracting common spatial patterns for brain computer interfacing

Hasan, BAS., Gan, JQ. and Zhang, Q., (2010). Multi-objective evolutionary methods for channel selection in Brain-Computer Interfaces: Some preliminary experimental results

Al Moubayed, N., Shiekh Hasan, BA., Gan, JQ., Petrovski, A. and McCall, J., (2010). Binary-SDMOPSO and its application in channel selection for Brain-Computer Interfaces

Awwad Shiekh Hasan, B. and Gan, JQ., (2009). Sequential EM for Unsupervised Adaptive Gaussian Mixture Model Based Classifier

Dyson, M., Sepulveda, F., Gan, JQ. and Roberts, SJ., (2009). Sequential Classification of Mental Tasks vs. Idle State for EEG Based BCIs

Hasan, BAS. and Gan, JQ., (2009). Unsupervised Adaptive GMM for BCI

Zhou, S-M., Gan, JQ., Xu, L. and John, RI., (2009). Fuzziness index driven fuzzy relaxation algorithm and applications to image processing

Dyson, M., Sepulveda, F., Gan, JQ. and Roberts, SJ., (2009). Sequential classification of mental tasks vs. idle state for EEG based BCIs

Hasan, BAS. and Gan, JQ., (2009). Unsupervised adaptive GMM for BCI

Hasan, BAS. and Gan, JQ., (2009). Multi-objective particle swarm optimization for channel selection in brain-computer interfaces

Amorim, R., Mirkin, B. and Gan, JQ., (2009). A method for classifying mental tasks in the space of EEG transforms

Dyson, M., Sepulveda, F. and Gan, JQ., (2008). Mental task classification against the idle state: A preliminary investigation

Asghari Oskoei, M., Hu, H. and Gan, JQ., (2008). Manifestation of fatigue in myoelectric signals of dynamic contractions produced during playing PC games

Tao Geng and Gan, JQ., (2008). Motor prediction in Brain-Computer Interfaces for controlling mobile robots

Yoon, JW., Roberts, SJ., Dyson, M. and Gan, JQ., (2008). Adaptive Classification by Hybrid EKF with Truncated Filtering: Brain Computer Interfacing

Ji Won Yoon, Roberts, SJ., Dyson, M. and Gan, JQ., (2008). Sequential Bayesian estimation for adaptive classification

Hasan, BAS., Dyson, M., Balli, T. and Gan, JQ., (2008). A Study via Feature Selection on the Separability of Approximate Entropy for Brain-Computer Interfaces

Geng, T. and Gan, JQ., (2008). Towards a virtual 4-class synchronous BCI using motor prediction and one motor imagery

Dyson, M., Balli, T., Gan, JQ., Sepulveda, F. and Palaniappan, R., (2008). Approximate entropy for EEG-based movement detection

Tsui, CSL. and Gan, JQ., (2008). Comparison of three methods for adapting LDA classifiers with BCI applications

Tsui, CSL. and Gan, JQ., (2007). Asynchronous BCI Control of a Robot Simulator with Supervised Online Training

Chun Sing Louis Tsui, Jia, P., Gan, JQ., Hu, H. and Yuan, K., (2007). EMG-based hands-free wheelchair control with EOG attention shift detection

Gan, JQ. and Zhou, S-M., (2006). A New Fuzzy Membership Function with Applications in Interpretability Improvement of Neurofuzzy Models

Wang, B. and Gan, JQ., (2006). SC-Tree: An Efficient Structure for High-Dimensional Data Indexing

Wang, B. and Gan, JQ., (2005). An Incremental Updating Method for Clustering-Based High-Dimensional Data Indexing

Gan, JQ., (2005). On optimal criteria of linear projections for classification

Zhou, SM. and Gan, JQ., (2005). L2-SVM based fuzzy classifier with automatic model selection and fuzzy rule ranking

Oyama, E., Maeda, T., Gan, JQ., Rosales, EM., MacDorman, KF., Tachi, S. and Agah, A., (2005). Inverse kinematics learning for robotic arms with fewer degrees of freedom by modular neural network systems

Shang-Ming Zhou and Gan, JQ., (2004). Interpretability improvement of input space partitioning by merging fuzzy sets based on an entropy measure

Shang-Ming Zhou and Gan, JQ., (2004). Improving the interpretability of Takagi-Sugeno fuzzy model by using linguistic modifiers and a multiple objective learning scheme

Wang, B. and Gan, JQ., (2004). Integration of Projected Clusters and Principal Axis Trees for High-Dimensional Data Indexing and Query

Zhou, S. and Gan, JQ., (2004). Mercer Kernel, Fuzzy C-Means Algorithm, and Prototypes of Clusters

Shang-Ming Zhou and Qiang Gan, (2003). A new fuzzy relaxation algorithm for image contrast enhancement

Wang, B. and Gan, Q., (2003). Non-uniform partition strategies for indexing high-dimensional data with different distributions

Gan, Q., (2002). Exploring recurrent learning for neurofuzzy networks using regularization theory

Harris, CJ., Wu, ZQ. and Gan, Q., (1999). Neurofuzzy state estimators and their applications

Peng, H., Gan, Q., Sha, L. and Wei, Y., (1998). Using sparse trace neural network to extract temporal-spatial invariance

Gan, Q., Yao, J. and Subramanian, KR., (1998). Learning algorithms for a neural network with laterally inhibited receptive fields

Zhou, J., Gan, Q. and Suen, CY., (1997). High-performance hand-printed numerical recognition system with verification module

Wang, JS., Gan, Q. and Wei, Y., (1996). On stability of CNN with asymmetric opposite-sign templates and non-unity gain output functions

Gan, Q., Yu, W. and Conrad, M., (1991). Locally-connected multilayer neural networks consisting of enzymatic neurons

Sha, F. and Gan, Q., (1991). Improving error tolerance of self-organizing neural nets

Gan, Q. and Wei, Y., (1990). Unfully interconnected neural networks as associative memory