2012
B. Awwad Shiekh
Hasan and J.Q.
Gan, “Hangman BCI: An unsupervised adaptive self-paced
brain-computer interface for playing games,” Computers in Biology and Medicine, vol. 42, no. 5, pp. 598-606,
2012.
N. Al Moubayed, B. Awwad
Shiekh Hasan, J.Q. Gan, A. Petrovski, and J. McCall,
“Continuous presentation for multi-objective
channel selection in brain-computer interfaces,” IEEE Congress on
Evolutionary Computation, Brisbane, Australia, 2012.
2011
C.S.L. Tsui,
J.Q. Gan, and H. Hu, “A self-paced motor imagery based brain
computer interface for robotic wheelchair control,” Clinical EEG and Neuroscience, vol. 42, pp. 225-229, October 2011.
B. Awwad Shiekh
Hasan and J.Q.
Gan, “Temporal modeling
of EEG during self-paced hand movement and its application in onset detection,”
Journal of Neural Engineering, vol. 8, no. 5, 056015, 2011.
B. Awwad Shiekh Hasan
and J.Q. Gan, “Conditional random fields as classifiers for 3-class
motor-imagery brain-computer interfaces,” Journal of Neural Engineering, vol. 8, no. 2, 025013, 2011.
J.W. Yoon, S.J. Roberts, M. Dyson, and J.Q. Gan, “Bayesian inference for an adaptive ordered probit model: An application to brain computer interfacing,” Neural Networks, vol. 24, no. 7, pp. 726-734, 2011.
J. Asensio,
E. Galvan, R. Palaniappan, J.Q. Gan,
“Wavelet design by means of multi-objective GAs for motor imagery EEG
analysis,” The 5th International Workshop on Brain-Computer
Interfaces,
Graz, Austria, 2011.
J. Asensio-Cubero,
R. Palaniappan, and J.Q. Gan,
“A study on temporal segmentation strategies for extracting common spatial
patterns for brain computer interfacing,” The
UK Workshop on Computational Intelligence (UKCI2011), Manchester, UK, 2011.
J.Q. Gan, B. Awwad Shiekh
Hasan, and C.S.L. Tsui, “A hybrid
approach to feature subset selection for brain-computer interface design,” International Conference on Intelligent Data
Engineering and Automated Learning (IDEAL2011), Norwich, UK, 2011.
2010
M. Dyson, F. Sepulveda, and J.Q. Gan, “Localisation of cognitive tasks used in EEG-based BCIs,” Clinical Neurophysiology, vol. 121, no. 9, pp. 1481-1493, 2010.
T. Geng and J.Q. Gan, “Planar biped walking with an equilibrium point controller and state machines,” IEEE/ASME Trans. on Mechatronics, vol. 15, no.2, pp. 253-260, 2010.
B. Awwad Shiekh Hasan and J.Q. Gan, “Unsupervised movement onset detection from EEG recorded during self-paced hand movement,” Medical & Biological Engineering & Computing, vol. 48, no. 3, pp. 245-253, 2010.
T. Geng, J.Q. Gan, and H. Hu, “A self-paced brain computer interface for mobile robot control,” International Journal of Advanced Mechatronic Systems, vol. 2, no. 1-2, pp. 28-35, 2010.
B. Awwad Shiekh Hasan, J.Q. Gan, and Q. Zhang, “Multi-objective evolutionary methods for channel selection in brain-computer interfaces: Some preliminary experimental results,” IEEE Congress on Evolutionary Computation, Barcelona, Spain, 2010.
B. Awwad Shiekh Hasan and J.Q. Gan, “Conditional random fields as classifiers for 3-class motor-imagery based BCIs,” The 4th International BCI Meeting, Monterey Peninsula, USA, 2010.
N. Al Moubayed, B. Awwad Shiekh Hasan, J.Q. Gan, A. Petrovski, and J. McCall, “Binary-SDMOPSO and its application in channel selection for brain-computer interfaces,” The UK Workshop on Computational Intelligence (UKCI2010), Colchester, UK, 2010.
2009
S.-M. Zhou and J.Q. Gan, “Extracting Takagi-Sugeno fuzzy rules with interpretable submodels via regularization of linguistic modifiers,” IEEE Trans. on Knowledge and Data Engineering, vol. 21, no. 8, pp. 1191-1204, 2009.
J.W. Yoon, S.J. Roberts, M. Dyson, and J.Q. Gan, “Adaptive classification for brain computer interface systems using sequential Monte Carlo sampling,” Neural Networks, vol. 22, no. 9, pp. 1286-1294, 2009.
C.S.L. Tsui, J.Q. Gan, and S.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,” Medical & Biological Engineering & Computing, vol. 47, no. 3, pp. 257-265, 2009.
S.-M. Zhou, J.Q. Gan, L. Xu, and R. John, “Fuzziness index driven fuzzy relaxation algorithm and applications to image processing,” Annals of Operations Research, vol. 168, no. 1, pp. 119-131, 2009.
B. Awwad Shiekh
Hasan and J.Q. Gan, “Unsupervised adaptive GMM for BCI,” International IEEE
EMBS Conf. on Neural Engineering, Antalya, Turkey, 2009, pp. 295-298.
M. Dyson, F. Sepulveda, J.Q. Gan, and S.J. Roberts, “Sequential classification of mental tasks vs. idle,” International IEEE EMBS Conf. on Neural Engineering, Antalya, Turkey, 2009, pp. 351-354.
M. Asghari Oskoei, J.Q. Gan, and H. Hu, “Adaptive schemes applied to online SVM for BCI data classification,” Annual International Conference of IEEE Engineering in Medicine and Biology Society, Minnesota, USA, 2009.
B. Awwad Shiekh Hasan and J.Q. Gan, “Sequential EM for unsupervised adaptive Gaussian mixture model based classifier,” Int. Conf. on Machine Learning and Data Mining, Leipzig, Germany, 2009.
B. Awwad Shiekh Hasan and J.Q. Gan, “Multi-objective particle swarm optimisation for channel selection in brain-computer interfaces,” The UK Workshop on Computational Intelligence (UKCI2009), Nottingham, UK, 2009.
R. Amorim, B. Mirkin, and J.Q. Gan, “A method for classifying mental tasks in the space of EEG transforms,” The UK Workshop on Computational Intelligence (UKCI2009), Nottingham, UK, 2009.
2008
S.-M. Zhou, J.Q. Gan, and F. Sepulveda, “Classifying mental tasks based on features of higher-order statistics from EEG signals in brain-computer interface,” International Journal of Information Sciences, vol. 178, no. 6, pp.1629-1640, 2008.
T. Geng, J.Q. Gan, M. Dyson, C.S.L. Tui, and F. Sepulveda, “A novel design of 4-class BCI using two binary classifiers and parallel mental tasks,” Journal of Computational Intelligence and Neuroscience, vol. 2008, doi: 10.1155/2008/437306.
S.-M. Zhou and J.Q. Gan, “Low-level interpretability and high-level interpretability: A unified view of data-driven interpretable fuzzy system modelling,” Fuzzy Sets and Systems, vol. 159, no. 23, 2008, pp. 3091-3131.
T. Geng and J.Q. Gan, “Motor prediction in brain-computer interfaces for controlling mobile robots,” Annual International Conference of IEEE Engineering in Medicine and Biology Society, Vancouver, Canada, 2008, pp. 634-637.
M. Dyson, F. Sepulveda, and J.Q. Gan, “Mental task classification against the idle state: A preliminary investigation,” Annual International Conference of IEEE Engineering in Medicine and Biology Society, Vancouver, Canada, 2008, pp. 4473-4477.
M. Asghari Oskoei, H. Hu, and J.Q. Gan, “Manifestation of fatigue in myoelectric signals of dynamic contractions produced during playing PC games,” Annual International Conference of IEEE Engineering in Medicine and Biology Society, Vancouver, Canada, 2008, pp.315-318.
M. Dyson, T. Balli, J.Q. Gan, R. Palaniappan, and F. Sepulveda, “Approximate entropy for EEG-based movement detection,” The 4th International Workshop on Brain-Computer Interfaces, Graz, Austria, 2008, pp.110-115.
C.S.L. Tsui and J.Q. Gan, “Comparison of three methods for adapting LDA classifiers with BCI applications,” The 4th International Workshop on Brain-Computer Interfaces, Graz, Austria, 2008, pp. 116-121.
T. Geng and J.Q. Gan, “Towards a virtual 4-class synchronous BCI using motor prediction and one motor imagery,” The 4th International Workshop on Brain-Computer Interfaces, Graz, Austria, 2008, pp. 203-207.
T. Geng, J.Q. Gan, and H. Hu, “A self-paced online BCI for mobile robot control,” Sino-European Workshop on Intelligent Robots and Systems, Chongqing, China, 2008.
B. Awwad Shiekh Hasan, M. Dyson, T. Balli, and J.Q. Gan, “A study via feature selection on the separability of approximate entropy for brain-computer interfaces,” The UK Workshop on Computational Intelligence (UKCI2008), De Montfort, UK, 2008, pp. 189-194.
J.W. Yoon, S.J. Roberts, M. Dyson, and J.Q. Gan, “Sequential Bayesian estimation for adaptive classification,” IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI2008), Seoul, Korea, 2008, pp. 601-605.
J.W. Yoon, S.J. Roberts, M. Dyson, and J.Q. Gan, “Adaptive classification by hybrid EKF with truncated filtering: Brain computer interfacing,” International Conference on Intelligent Data Engineering and Automated Learning (IDEAL2008), Daejeon, Korea, 2008. Lecture Notes in Computer Science, vol. 5326/2008, pp. 370-377.
2007
J.Q. Gan and E.M. Rosales, "Producing interpretable local models in parametric CMAC by regularization," International Journal of Knowledge-Based and Intelligent Engineering Systems, vol. 11, no. 6, pp. 399-408, 2007.
S.-M.
Zhou and J.Q. Gan, "Constructing L2-SVM based
fuzzy classifiers in high-dimensional space with automatic model selection and
fuzzy rule ranking," IEEE Trans. on Fuzzy Systems, vol. 15, no, 3,
pp. 398-409, 2007.
S.-M. Zhou, J.Q. Gan, L. Xu, and R. John, "Interactive image enhancement by fuzzy relaxation," International Journal of Automation and Computing, vol. 4, no. 3, pp.229-235, 2007.
T. Geng
and J.Q. Gan, “A 3-class asynchronous BCI for
controlling mobile robots,” MAIA BCI
Workshop – BCI Meets Robotics: Challenging Issues in Brain-Computer Interaction
and Shared Control, Leuven, Belgium, 2007, p. 33.
T. Geng,
M. Dyson, C.S.L. Tsui, and J.Q. Gan,
"A 3-class asynchronous BCI controlling a simulated robot," Annual
International Conference of IEEE Engineering in Medicine and Biology Society,
F. Sepulveda, M.
Dyson, J.Q. Gan, and C.S.L. Tsui,
"A comparison of metal task combinations for asynchronous EEG-based
BCIs," Annual International Conference of IEEE Engineering in Medicine
and Biology Society,
C.S.L.
Tsui and J.Q. Gan,
"Asynchronous BCI control of a robot simulator with supervised online
training," International Conference on Intelligent Data
Engineering and Automated Learning (IDEAL2007), Birmingham, UK, 2007, pp. 125-134.
C.S.L.
Tsui, P. Jia, J.Q. Gan, H. Hu, and K. Yuan,
“EMG-based hands-free wheelchair control with EOG attention shift detection,” IEEE International Conference on Robotics
and Biomimetics (ROBIO2007), Sanya,
China, 2007, pp. 1266-1271.
2006
S.-M. Zhou and J.Q. Gan, "Constructing accurate and parsimonious fuzzy
models with distinguishable fuzzy sets based on an entropy measure," Fuzzy
Sets and Systems, vol. 157, no. 8, pp. 1057-1074, 2006.
S.-M. Zhou and J.Q. Gan, "A new fuzzy relaxation algorithm for image
enhancement," International Journal of Knowledge-Based and Intelligent
Engineering Systems, vol. 10, no. 3, pp. 181-192, 2006.
S.-M.
Zhou and J.Q. Gan, "Multiple objective learning
for constructing interpretable Takagi-Sugeno fuzzy
model," in Multi-Objective Machine Learning, Y.C. Jin (ed.),
Springer Series on Studies in Computational Intelligence, 2006, pp. 385-406.
B. Wang and J.Q. Gan, "SC-Tree: An efficient structure for
high-dimensional data indexing," Proc. of 23rd
British National Conference on Databases (BNCOD2006),
J.Q.
Gan and S.-M. Zhou, "A new fuzzy
membership function with applications in interpretability improvement of neurofuzzy models," The 2nd
International Conference on Intelligent Computing (ICIC2006), Kunming,
China, 2006. Lecture Notes in Artificial Intelligence, vol. 4114, pp. 183-194, 2006.
J.Q.
Gan, "Making use of structure in time for
temporal data classification," Proc. of the UK Workshop on
Computational Intelligence (UKCI2006), Leeds, UK, 2006, pp. 145-148.
J.Q. Gan, "Self-adapting BCI based on unsupervised
learning," The 3rd International Workshop on Brain-Computer
Interfaces,
J.Q. Gan, "Feature dimensionality reduction by manifold
learning in brain-computer interface design," The 3rd
International Workshop on Brain-Computer Interfaces,
C.S.L. Tsui, A. Vuckovic, R. Palaniappan, F. Sepulveda, and J.Q. Gan,
"Narrow band spectral analysis for movement onset detection in
asynchronous BCI," The 3rd International Workshop on
Brain-Computer Interfaces, Graz, Austria, 2006, pp. 30-31.
T. Geng,
J.Q. Gan, M. Dyson, C.S.L. Tsui,
and F. Sepulveda, "EEG-based synchronous parallel BCI," MAIA BCI Workshop - Challenging Brain-Computer Interfaces, Rome, Italy, 2006, p.
41.
2005
J.Q. Gan, E. Oyama, E.M. Rosales, and H. Hu, "A complete
analytical solution to the inverse kinematics of the Pioneer 2 robotic arm," Robotica, vol. 23, no. 1, pp. 123-129, 2005.
D. Xu,
C.A. Acosta-Calderon, J.Q. Gan, H. Hu, and M. Tan, "An analysis of the inverse kinematics
for a 5-DOF manipulator," International Journal of Automation and
Computing, vol. 2, no. 2, pp. 114-124, 2005.
B. Wang and J.Q. Gan, "An incremental updating method for
clustering-based high-dimensional data indexing," Lecture Notes in
Artificial Intelligence, vol. 3801, pp. 495-502, 2005. International
Conference on Computational Intelligence and Security (CIS2005),
J.Q.
Gan, "On optimal criteria of linear projections
for classification," Proc. of the UK Workshop on Computational
Intelligence (UKCI2005), London, UK, 2005, pp. 61-66.
S.-M. Zhou and J.Q. Gan, "L2-SVM based fuzzy classifier with automatic
model selection and fuzzy rule ranking," Proc. of
the UK Workshop on Computational Intelligence (UKCI2005), London,
UK, 2005, pp. 75-82.
E. Oyama,
T. Maeda, J.Q. Gan, E.M. Rosales, K.F. MacDorman, S. Tachi, and A. Agah, "Inverse kinematics learning for robotic arms
with fewer degrees of freedom by modular neural network systems," Proc.
of IEEE/RSJ International Conference on Intelligent Robots and Systems
(IROS2005), Edmonton, Alberta, Canada, 2005, pp. 833-840.
2004
S.-M. Zhou and J.Q. Gan, "An unsupervised kernel based fuzzy c-means
clustering algorithm with kernel normalization," International Journal
of Computational Intelligence and Applications, vol. 4, no. 4, pp.
355-373, 2004.
S.-M. Zhou and J.Q. Gan, "Mercer kernel, fuzzy C-means algorithm, and
prototypes of clusters," Lecture Notes in Computer Science, vol. 3177, pp. 613-618, 2004. The 5th International Conference on Intelligent Data Engineering
and Automated Learning (IDEAL2004), Exeter, UK, 2004.
S.-M. Zhou and J.Q. Gan, "Improving the interpretability of Takagi-Sugeno
fuzzy model by using linguistic modifiers and a multiple objective learning
scheme," Proc. of the Int. Joint Conf. on Neural
Networks (IJCNN2004), Budapest, 2004, pp.
2385-2390.
S.-M. Zhou and J.Q. Gan,
"Interpretability improvement of input space partitioning by merging fuzzy
sets based on an Entropy measure," Proc. of the IEEE Int. Conf. on Fuzzy Systems
(IEEE-FUZZ2004), Budapest, 2004, pp. 287-292.
S.-M. Zhou, J.Q. Gan,
and F. Sepulveda, "Using
higher-order statistics from EEG signals for developing brain-computer
interface (BCI) systems," Proc. of the UK
Workshop on Computational Intelligence (UKCI2004), Loughborough, UK, 2004, pp. 27-32.
E.M. Rosales, E. Oyama, and J.Q. Gan,
"Inverse kinematics modeling of over-constrained robotic arms by
work-joint space clustering," Proc. of IEEE Latin
America Robotics Symposium (LARS2004), Mexico City, 2004,
pp. 18-23.
B. Wang and J.Q. Gan, "Integration of projected clusters and principal
axis trees for high-dimensional data indexing and query," Lecture
Notes in Computer Science, vol. 3177, pp. 191-196, 2004. The 5th International Conference on Intelligent Data
Engineering and Automated Learning (IDEAL2004),
Exeter, UK, 2004.
2003
Q. Gan and E.M. Rosales, "CMAC with linear functional
weights," Proc. of the 13th
IFAC Symposium on System Identification (SYSID-2003),
Q. Gan and E.M. Rosales, "CMAC for local linear modelling and regularization techniques for improving local
linearity approximation," Proc. of the UK
Workshop on Computational Intelligence (UKCI2003),
B.
Wang and Q. Gan, "Non-uniform partition
strategies for indexing high-dimensional data with different
distributions," Proc. of the 5th
IEEE Int. Symp. on
Multimedia Software Engineering (MSE2003),
S.-M.
Zhou and Q. Gan, "New fuzzy data clustering
method based on information entropy measure and relaxation linguistic
modifiers," Proc. of the UK
Workshop on Computational Intelligence (UKCI2003),
S.-M. Zhou and Q. Gan,
"A new fuzzy relaxation algorithm for image contrast enhancement," Proc. of
the 3rd Int. Symp. on Image and Signal Processing and Analysis (ISPA2003),
E.M. Rosales and Q. Gan,
"A comparative study on CMAC and ANFIS for nonlinear system
modeling," Proc. of the Int. Conf. on Computational Intelligence
for Modelling, Control and Automation (CIMCA2003),
Vienna, Austria, 2003, pp. 270-278.
2002
C.J. Harris, X. Hong,
and Q. Gan, Adaptive
Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach, Springer, 2002.
C.J. Harris and Q. Gan, "Multisensor data
fusion using Kalman filters based on neuro-fuzzy linearisation,"
in Multisensor Fusion (NATO ASI Series Book),
A. K. Hyder, E. Shahbazian,
and E. Waltz (eds.), Kluwer Academic Publishers,
2002, pp. 435-456.
Q. Gan,
"Exploring recurrent learning for neurofuzzy
networks using regularization theory," Proc.
of the Int. Joint Conf. on Neural Networks (IJCNN2002),
2001
Q. Gan
and C.J. Harris, "A hybrid learning scheme combining EM and MASMOD
algorithms for fuzzy local linearization modeling," IEEE Trans. on
Neural Networks , vol. 12, no. 1, pp. 43-53, 2001.
Q. Gan and C.J. Harris, "Comparison of two
measurement fusion methods for Kalman-filter-based multisensor data fusion," IEEE Trans. on Aerospace
and Electronic Systems ,
vol. 37, no. 1, pp. 273-280, 2001.
C.J. Harris and Q. Gan, "State estimation and
multi-sensor data fusion using data-based neurofuzzy
local linearisation process models," Information
Fusion ,
vol. 2, no. 1, pp. 17-29, 2001.
Before 2001 (Journal papers and book chapters only)
Q. Gan
and C.J. Harris, "Neurofuzzy local linearisation modelling for
nonlinear state estimation," in New Frontier in Computational
Intelligence and its Applications, M. Mohammadian
(ed.), IOS Press, 2000, pp. 209-217.
C.J. Harris, X. Hong,
and Q. Gan, "Neurofuzzy
state estimators," in Soft Computing and Intelligent Systems: Theory
and Applications, N.K. Sinha and M.M. Gupta
(eds.), Academic Press, 2000, pp. 377-402.
Q. Gan
and C.J. Harris, "Linearisation and state
estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks," IEEE Trans. on Systems, Man, and
Cybernetics, vol. 29: Part B, no. 6, pp. 802-817, 1999.
Q. Gan and C.J. Harris, "Fuzzy local linearisation and local basis function expansion in
nonlinear system modelling," IEEE Trans. on
Systems, Man, and Cybernetics, vol. 29: Part B, no. 4, pp. 559-565, 1999.
Q. Gan, P. Saratchandran,
N. Sundararajan, and K.R. Subramanian, "A
complex valued radial basis function network for equalisation
of fast time varying channels," IEEE Trans. on Neural Networks,
vol. 10, no. 4, pp. 958-960, 1999.
Q. Gan and C.J. Harris, "Neurofuzzy
local linearisation for model identification and
state estimation of unknown nonlinear processes," International Journal
of Intelligent Control and Systems, vol. 3, no. 4, pp. 389-407, 1999.
C.J. Harris, Z.-Q. Wu, and Q. Gan,
"Neurofuzzy state estimators and their
applications," Annual Reviews in Control, vol. 23, pp. 149-158,
1999.
J.-S. Wang, Q. Gan, Y. Wei, and L. Xie, "Cellular neural networks with opposite-sign
templates for image thinning," International Journal of Circuit Theory
& Applications, vol. 27, no. 2, pp. 229-240, 1999.
J. Zhou, Q. Gan, A. Krzyzak, C.Y. Suen,
"Recognition of handwritten numeral by quantum neural network with fuzzy
features," International Journal on Document Analysis and Recognition,
vol. 2, no. 1, pp. 30-36, 1999.
J. Zhou, Q. Gan, A. Krzyzak, and C. Y. Suen, "Quantum neural network in recognition of
handwritten numerals," in Advances in Handwriting Recognition, Seong-Whan Lee (ed), World
Scientific, 1999, pp. 368-377.
H.-C. Peng, L.-F. Sha, Q. Gan, and Y. Wei,
"Combining adaptive sigmoid packet and trace neural network for fast
invariance-learning," Electronics Letters , vol. 34, no. 9, pp. 898-900,
1998.
H.-C. Peng, L.-F. Sha, Q. Gan, and Y. Wei, "Energy function for learning
invariance in multilayer perceptron," Electronics
Letters, vol. 34, no. 3, pp. 292-294, 1998.
Y. Wei, Z.-H. Lu, C.-W. Yuan, and Q. Gan, "Molecular electronics: Strategies and progress
in China," IEEE Engineering in Medicine and Biology Magazine, vol.
16, no. 4, pp. 53-61, 1997.
Q. Gan, R. Subramanian, N. Sundararajan,
and P. Saratchandran, "Design for centres of RBF neural networks for fast time-varying
channel equalisation," Electronics Letters,
vol. 32, no. 25, pp. 2333-2334, 1996.
Q. Gan
and C. Y. Suen, "Neural networks for handwritten
character recognition," in Fuzzy Logic and Neural Network Handbook,
C.H. Chen (ed.), McGraw-Hill Book Company, 1996, pp. 16.1-16.6.
J.-S. Wang, Q. Gan, and Y. Wei, "Stability of
CNN with opposite sign templates and a non-unity output function," IEEE
Trans. on Circuits and Systems I, vol. 42, no. 7, pp. 404-408, 1995.
Q. Gan,
F. Sha, and Y. Wei, "A mathematical neuron model
with arbitrarily adjustable threshold and refractoriness," Network:
Computation in Neural Systems, vol. 3, no. 4, pp. 415-422, 1992.
Q. Gan
and Y. Wei, "Neuron model with potential applications in pulse-stream
neural nets," Electronics Letters, vol. 28, no. 8, pp. 755-756,
1992.
© Copyright 1999-2012
University of Essex.
This page was last modified by John Gan on 14 Feb
2012
E-mail: jqgan @ essex.ac.uk