Chris J. Harris

	2011
69		Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris: On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. IJCNN 2011: 1146-1153
68		Sheng Chen, Xia Hong, Chris J. Harris: Grey-box radial basis function modelling. Neurocomputing 74(10): 1564-1571 (2011)
67		Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris: A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems. Neurocomputing 74(17): 3456-3466 (2011)
	2010
66		Sheng Chen, Xia Hong, Chris J. Harris: Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. IJCNN 2010: 1-6
65		Xia Hong, Sheng Chen, Chris J. Harris: Sparse kernel density estimation technique based on zero-norm constraint. IJCNN 2010: 1-6
64		Sheng Chen, Bing Lam Luk, Chris J. Harris, Lajos Hanzo: Fuzzy-logic tuned constant modulus algorithm and soft decision-directed scheme for blind equalisation. Digital Signal Processing 20(3): 846-859 (2010)
63		Sheng Chen, Xia Hong, Chris J. Harris: Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling. IEEE Trans. Evolutionary Computation 14(4): 477-499 (2010)
62		Sheng Chen, Xia Hong, Chris J. Harris: Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression. IEEE Transactions on Systems, Man, and Cybernetics, Part B 40(4): 1101-1114 (2010)
61		Sheng Chen, Xia Hong, Chris J. Harris: Regression based D-optimality experimental design for sparse kernel density estimation. Neurocomputing 73(4-6): 727-739 (2010)
	2009
60		Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris: A tunable radial basis function model for nonlinear system identification using particle swarm optimisation. CDC 2009: 6762-6767
59		Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris: Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection. IEEE Transactions on Systems, Man, and Cybernetics, Part B 39(2): 457-466 (2009)
58		Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris: Non-linear system identification using particle swarm optimisation tuned radial basis function models. IJBIC 1(4): 246-258 (2009)
57		Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris: Orthogonal-least-squares regression: A unified approach for data modelling. Neurocomputing 72(10-12): 2670-2681 (2009)
	2008
56		Sheng Chen, Xia Hong, Chris J. Harris: Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design. IJCNN 2008: 1-6
55		Sheng Chen, Chris J. Harris, Lajos Hanzo: Complex-valued symmetric radial basis function classifier for quadrature phase shift keying beamforming systems. IJCNN 2008: 13-18
54		Sheng Chen, Xia Hong, Chris J. Harris: Fully complex-valued radial basis function networks for orthogonal least squares regression. IJCNN 2008: 7-12
53		Xia Hong, Sheng Chen, Chris J. Harris: A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation. IEEE Transactions on Neural Networks 19(1): 193-198 (2008)
52		Xia Hong, Sheng Chen, Chris J. Harris: A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound. IEEE Transactions on Neural Networks 19(11): 1961-1967 (2008)
51		Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo: Symmetric RBF Classifier for Nonlinear Detection in Multiple-Antenna-Aided Systems. IEEE Transactions on Neural Networks 19(5): 737-745 (2008)
50		Xia Hong, Richard J. Mitchell, Sheng Chen, Chris J. Harris, Kang Li, George W. Irwin: Model selection approaches for non-linear system identification: a review. Int. J. Systems Science 39(10): 925-946 (2008)
49		Xia Hong, Sheng Chen, Chris J. Harris: A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate. Int. J. Systems Science 39(2): 119-125 (2008)
48		Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo: Adaptive nonlinear least bit error-rate detection for symmetrical RBF beamforming. Neural Networks 21(2-3): 358-367 (2008)
47		Sheng Chen, Xia Hong, Chris J. Harris: An orthogonal forward regression technique for sparse kernel density estimation. Neurocomputing 71(4-6): 931-943 (2008)
	2007
46		Xia Hong, Sheng Chen, Chris J. Harris: A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression. ICIC (3) 2007: 1354-1363
45		Sheng Chen, Xia Hong, Chris J. Harris: Sparse Kernel Modelling: A Unified Approach. IDEAL 2007: 27-36
44		Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo: Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems. IJCNN 2007: 2486-2491
43		Sheng Chen, Xia Hong, Chris J. Harris: Probability Density Function Estimation Using Orthogonal Forward Regression. IJCNN 2007: 2492-2497
42		Xia Hong, Sheng Chen, Chris J. Harris: A Kernel-Based Two-Class Classifier for Imbalanced Data Sets. IEEE Transactions on Neural Networks 18(1): 28-41 (2007)
	2006
41		Xia Hong, Sheng Chen, Chris J. Harris: Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate. ICIC (1) 2006: 106-114
40		Sheng Chen, Chris J. Harris, Xia Hong: Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate. IJCNN 2006: 3358-3362
39		Sheng Chen, Xunxian Wang, Xia Hong, Chris J. Harris: Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure. IEEE Transactions on Neural Networks 17(6): 1652-1656 (2006)
	2005
38		Sheng Chen, Xia Hong, Chris J. Harris: Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes. ICIC (1) 2005: 777-786
37		Sheng Chen, Xunxian Wang, Chris J. Harris: A Search Algorithm for Global Optimisation. ICNC (2) 2005: 1122-1130
36		Sheng Chen, Xunxian Wang, Chris J. Harris: Experiments with repeating weighted boosting search for optimization signal processing applications. IEEE Transactions on Systems, Man, and Cybernetics, Part B 35(4): 682-693 (2005)
	2004
35		Sheng Chen, Xia Hong, Chris J. Harris: Kernel Density Construction Using Orthogonal Forward Regression. IDEAL 2004: 586-592
34		Sheng Chen, Xia Hong, Chris J. Harris, Paul M. Sharkey: Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(2): 898-911 (2004)
33		Sheng Chen, Xia Hong, Chris J. Harris: Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. IEEE Transactions on Systems, Man, and Cybernetics, Part B 34(4): 1708-1717 (2004)
32		Xia Hong, Chris J. Harris, Martin Brown, Sheng Chen: Backward Elimination Methods for Associative Memory Network Pruning. Int. J. Hybrid Intell. Syst. 1(2): 90-98 (2004)
	2003
31		Chris J. Harris: Adaptive Data Based Modelling and Estimation with Application to Real Time Vehicular Collision Avoidance. KES 2003: 13-14
30		Xia Hong, Chris J. Harris, Sheng Chen, Paul M. Sharkey: Robust nonlinear model identification methods using forward regression. IEEE Transactions on Systems, Man, and Cybernetics, Part A 33(4): 514-523 (2003)
29		Junbin Gao, Steve R. Gunn, Chris J. Harris: Mean field method for the support vector machine regression. Neurocomputing 50: 391-405 (2003)
28		Junbin Gao, Steve R. Gunn, Chris J. Harris: SVM regression through variational methods and its sequential implementation. Neurocomputing 55(1-2): 151-167 (2003)
	2002
27		Chris J. Harris, Xia Hong, Qiang Gan: Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach Springer 2002
26		Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris: Extraction and Description of Moving Human Body by Periodic Motion Analysis. Computers and Their Applications 2002: 110-113
25		Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris: Model-driven statistical analysis of human gait motion. ICIP (1) 2002: 285-288
24		Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris: Extracting Human Gait Signatures by Body Segment Properties. SSIAI 2002: 35-39
23		Xia Hong, Chris J. Harris: A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control. Appl. Intell. 16(1): 59-69 (2002)
22		Sheng Chen, Steve R. Gunn, Chris J. Harris: Errata to "The relevance vector machine technique for channel equalization application". IEEE Transactions on Neural Networks 13(4): 1024 (2002)
21		Xia Hong, Chris J. Harris: Nonlinear model structure design and construction using orthogonal least squares and D-optimality design. IEEE Transactions on Neural Networks 13(5): 1245-1250 (2002)
20		Junbin Gao, Chris J. Harris: Some remarks on Kalman filters for the multisensor fusion. Information Fusion 3(3): 191-201 (2002)
19		Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin Brown: A Probabilistic Framework for SVM Regression and Error Bar Estimation. Machine Learning 46(1-3): 71-89 (2002)
	2001
18		Qiang Gan, Chris J. Harris: A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling. IEEE Transactions on Neural Networks 12(1): 43-53 (2001)
17		Xia Hong, Chris J. Harris: Nonlinear model structure detection using optimum experimental design and orthogonal least squares. IEEE Transactions on Neural Networks 12(2): 435-439 (2001)
16		Sheng Chen, Steve R. Gunn, Chris J. Harris: The relevance vector machine technique for channel equalization application. IEEE Transactions on Neural Networks 12(6): 1529-1532 (2001)
15		M. Feng, Chris J. Harris: Piecewise Lyapunov stability conditions of fuzzy systems. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(2): 259-262 (2001)
14		Chris J. Harris, Qiang Gan: State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models. Information Fusion 2(1): 17-29 (2001)
13		Junbin Gao, Chris J. Harris, Steve R. Gunn: On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces. Neural Computation 13(9): 1975-1994 (2001)
	2000
12		Simon Feraday, Chris J. Harris, Kihong Shin, Mike Brennan, Malcolm Lindsay: The Use of AI Methods for Evaluating Condition Dependent Dynamic Models of Vehicle Brake Squeal. IEA/AIE 2000: 46-55
11		Jamie D. Shutler, Mark S. Nixon, Chris J. Harris: Statistical Gait Description via Temporal Moments. SSIAI 2000: 291-295
10		Chris J. Harris: Editor's Letter. Int. J. Systems Science 31(1): 1 (2000)
9		Chris J. Harris, Junbin Gao: Adaptive linear finite-element method for modelling nonlinear dynamic systems. Int. J. Systems Science 31(10): 1241-1248 (2000)
	1999
8		Ping S. Huang, Chris J. Harris, Mark S. Nixon: Recognising humans by gait via parametric canonical space. AI in Engineering 13(4): 359-366 (1999)
7		Qiang Gan, Chris J. Harris: Fuzzy local linearization and local basis function expansion in nonlinear system modeling. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(4): 559-565 (1999)
6		Qiang Gan, Chris J. Harris: Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B 29(6): 802-817 (1999)
	1998
5		Ping S. Huang, Chris J. Harris, Mark S. Nixon: Comparing Different Template Features for Recognizing People by their Gait. BMVC 1998
4		Ping S. Huang, Chris J. Harris, Mark S. Nixon: A Statistical Approach for Recognizing Humans by Gait using Spatial-Temporal Templates. ICIP (3) 1998: 178-182
	1997
3		Zhi Qiao Wu, Chris J. Harris: A neurofuzzy network structure for modelling and state estimation of unknown nonlinear systems. Int. J. Systems Science 28(4): 335-345 (1997)
	1996
2		P. Edgar An, Chris J. Harris: An intelligent driver warning system for vehicle collision avoidance. IEEE Transactions on Systems, Man, and Cybernetics, Part A 26(2): 254-261 (1996)
	1993
1		Martin Brown, Chris J. Harris, Patrick C. Parks: The interpolation capabilities of the binary CMAC. Neural Networks 6(3): 429-440 (1993)

Coauthor Index

1	P. Edgar An	[2]
2	Mike Brennan	[12]
3	Martin Brown	[1] [19] [32]
4	Sheng Chen	[16] [22] [67] [69]
5	Sheng Chen	[30] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [45] [46] [47] [48] [49] [50] [51] [52] [53] [54] [55] [56] [57] [58] [59] [60] [61] [62] [63] [64] [65] [66] [68]
6	M. Feng	[15]
7	Simon Feraday	[12]
8	Qiang Gan	[6] [7] [14] [18] [27]
9	Junbin Gao	[9] [13] [19] [20] [28] [29]
10	Ming Gao	[67] [69]
11	Steve R. Gunn	[13] [16] [19] [22] [28] [29]
12	Lajos Hanzo	[44] [48] [51] [55] [64]
13	Xia Hong	[17] [21] [23] [27] [30] [32] [33] [34] [35] [38] [39] [40] [41] [42] [43] [45] [46] [47] [49] [50] [52] [53] [54] [56] [57] [58] [59] [60] [61] [62] [63] [65] [66] [67] [68] [69]
14	Ping S. Huang	[4] [5] [8]
15	George W. Irwin	[50]
16	Kang Li	[50]
17	Malcolm Lindsay	[12]
18	Bing Lam Luk	[57] [58] [59] [60] [64]
19	Richard J. Mitchell	[50]
20	Mark S. Nixon	[4] [5] [8] [11] [24] [25] [26]
21	Patrick C. Parks	[1]
22	Paul M. Sharkey	[30] [34]
23	Kihong Shin	[12]
24	Jamie D. Shutler	[11]
25	Xunxian Wang	[36] [37] [39]
26	Andreas Wolfgang	[44] [48] [51]
27	Zhi Qiao Wu	[3]
28	Jang-Hee Yoo	[24] [25] [26]

Colors in the list of coauthors

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