Chris J. Harris

123 papers A 1B 20C 3Misc 2Journal 86Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement. IEEE Trans. Control. Syst. Technol. Tong Liu, Sheng Chen, Po Yang, Yunpeng Zhu, Mehmet Mercangöz, Chris J. Harris
2024	J	`jnl`	Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output. IEEE Trans. Knowl. Data Eng. Tong Liu, Xulong Wang, Po Yang, Sheng Chen, Chris J. Harris
2023	J	`jnl`	Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression. IEEE Trans. Cybern. Tong Liu, Sheng Chen, Kang Li, Shaojun Gan, Chris J. Harris
2023	J	`jnl`	Deep Cascade Gradient RBF Networks With Output-Relevant Feature Extraction and Adaptation for Nonlinear and Nonstationary Processes. IEEE Trans. Cybern. Tong Liu, Zeyue Tian, Sheng Chen, Kai Wang, Chris J. Harris
2022	J	`jnl`	Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. Tong Liu, Sheng Chen, Shan Liang, Shaojun Gan, Chris J. Harris
2020	J	`jnl`	Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series. IEEE Trans. Signal Process. Tong Liu, Sheng Chen, Shan Liang, Shaojun Gan, Chris J. Harris
2020	J	`jnl`	Growing and Pruning Selective Ensemble Regression for Nonlinear and Nonstationary Systems. IEEE Access Tong Liu, Sheng Chen, Shan Liang, Chris J. Harris
2020	J	`jnl`	Selective ensemble of multiple local model learning for nonlinear and nonstationary systems. Neurocomputing Tong Liu, Sheng Chen, Shan Liang, Chris J. Harris
2019	B	`conf`	A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process. IJCNN Tong Liu, Shan Liang, Sheng Chen, Chris J. Harris
2019	J	`jnl`	Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring. IEEE Trans. Control. Syst. Technol. Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
2018	J	`jnl`	Adaptive Soft Sensor Development for Multi-Output Industrial Processes Based on Selective Ensemble Learning. IEEE Access Weiming Shao, Sheng Chen, Chris J. Harris
2018	J	`jnl`	Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
2017	J	`jnl`	Comparative Performance of Complex-Valued B-Spline and Polynomial Models Applied to Iterative Frequency-Domain Decision Feedback Equalization of Hammerstein Channels. IEEE Trans. Neural Networks Learn. Syst. Sheng Chen, Xia Hong, Emad Khalaf, Fuad E. Alsaadi, Chris J. Harris
2017	B	`conf`	Deep learning based nonlinear principal component analysis for industrial process fault detection. IJCNN Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
2017	J	`jnl`	Single-Carrier Frequency-Domain Equalization With Hybrid Decision Feedback Equalizer for Hammerstein Channels Containing Nonlinear Transmit Amplifier. IEEE Trans. Wirel. Commun. Sheng Chen, Xia Hong, Emad Khalaf, Ali Morfeq, Naif D. Alotaibi, Chris J. Harris
2016	B	`conf`	Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems. IJCNN Sheng Chen, Xia Hong, Emad Khalaf, Fuad E. Alsaadi, Chris J. Harris
2015	J	`jnl`	Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization. IEEE Trans. Cybern. Xia Hong, Sheng Chen, Junbin Gao, Chris J. Harris
2014	J	`jnl`	A unified neurofuzzy model for classification. Int. J. Syst. Sci. Ming Gao, Xia Hong, Chris J. Harris
2014	B	`conf`	B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels. IJCNN Xia Hong, Sheng Chen, Chris J. Harris
2014	J	`jnl`	Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems. IEEE Trans. Neural Networks Learn. Syst. Sheng Chen, Xia Hong, Junbin Gao, Chris J. Harris
2014	J	`jnl`	Construction of Neurofuzzy Models For Imbalanced Data Classification. IEEE Trans. Fuzzy Syst. Ming Gao, Xia Hong, Chris J. Harris
2014	B	`conf`	Dimensionality reduction assisted tensor clustering. IJCNN Yanfeng Sun, Junbin Gao, Xia Hong, Yi Guo, Chris J. Harris
2014	J	`jnl`	Fast identification algorithms for Gaussian process model. Neurocomputing Xia Hong, Junbin Gao, Xinwei Jiang, Chris J. Harris
2014	J	`jnl`	Nonlinear Equalization of Hammerstein OFDM Systems. IEEE Trans. Signal Process. Xia Hong, Sheng Chen, Yu Gong, Chris J. Harris
2014	B	`conf`	On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers. IJCNN Sheng Chen, Xia Hong, Chris J. Harris
2014	J	`jnl`	PDFOS: PDF estimation based over-sampling for imbalanced two-class problems. Neurocomputing Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris, Emad Khalaf
2014	J	`jnl`	Single-Carrier Frequency Domain Equalization for Hammerstein Communication Systems Using Complex-Valued Neural Networks. IEEE Trans. Signal Process. Xia Hong, Sheng Chen, Chris J. Harris, Emad Khalaf
2013	J	`jnl`	Digital Predistorter Design Using B-Spline Neural Network and Inverse of De Boor Algorithm. IEEE Trans. Circuits Syst. I Regul. Pap. Sheng Chen, Xia Hong, Yu Gong, Chris J. Harris
2013	J	`jnl`	Elastic-Net Prefiltering for Two-Class Classification. IEEE Trans. Cybern. Xia Hong, Sheng Chen, Chris J. Harris
2013	J	`jnl`	Particle swarm optimisation assisted classification using elastic net prefiltering. Neurocomputing Xia Hong, Junbin Gao, Sheng Chen, Chris J. Harris
2012	—	`conf`	A neurofuzzy classifier for two class problems. UKCI Ming Gao, Xia Hong, Chris J. Harris
2012	B	`conf`	Modelling and inverting complex-valued wiener systems. IJCNN Xia Hong, Sheng Chen, Chris J. Harris
2012	B	`conf`	Probability density function estimation based over-sampling for imbalanced two-class problems. IJCNN Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris
2012	J	`jnl`	Repeated weighted boosting search for discrete or mixed search space and multiple-objective optimisation. Appl. Soft Comput. Scott F. Page, Sheng Chen, Chris J. Harris, Neil M. White
2012	J	`jnl`	Using zero-norm constraint for sparse probability density function estimation. Int. J. Syst. Sci. Xia Hong, Sheng Chen, Chris J. Harris
2011	J	`jnl`	A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems. Neurocomputing Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris
2011	J	`jnl`	Grey-box radial basis function modelling. Neurocomputing Sheng Chen, Xia Hong, Chris J. Harris
2011	B	`conf`	On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. IJCNN Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris
2010	J	`jnl`	Fuzzy-logic tuned constant modulus algorithm and soft decision-directed scheme for blind equalisation. Digit. Signal Process. Sheng Chen, Bing Lam Luk, Chris J. Harris, Lajos Hanzo
2010	J	`jnl`	Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling. IEEE Trans. Evol. Comput. Sheng Chen, Xia Hong, Chris J. Harris
2010	J	`jnl`	Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression. IEEE Trans. Syst. Man Cybern. Part B Sheng Chen, Xia Hong, Chris J. Harris
2010	B	`conf`	Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. IJCNN Sheng Chen, Xia Hong, Chris J. Harris
2010	J	`jnl`	Regression based D-optimality experimental design for sparse kernel density estimation. Neurocomputing Sheng Chen, Xia Hong, Chris J. Harris
2010	B	`conf`	Sparse kernel density estimation technique based on zero-norm constraint. IJCNN Xia Hong, Sheng Chen, Chris J. Harris
2009	—	`conf`	A tunable radial basis function model for nonlinear system identification using particle swarm optimisation. CDC Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris
2009	J	`jnl`	Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection. IEEE Trans. Syst. Man Cybern. Part B Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris
2009	J	`jnl`	Non-linear system identification using particle swarm optimisation tuned radial basis function models. Int. J. Bio Inspired Comput. Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris
2009	J	`jnl`	Orthogonal-least-squares regression: A unified approach for data modelling. Neurocomputing Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris
2008	J	`jnl`	A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation. IEEE Trans. Neural Networks Xia Hong, Sheng Chen, Chris J. Harris
2008	J	`jnl`	A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate. Int. J. Syst. Sci. Xia Hong, Sheng Chen, Chris J. Harris
2008	J	`jnl`	A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound. IEEE Trans. Neural Networks Xia Hong, Sheng Chen, Chris J. Harris
2008	J	`jnl`	Adaptive nonlinear least bit error-rate detection for symmetrical RBF beamforming. Neural Networks Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo
2008	J	`jnl`	An orthogonal forward regression technique for sparse kernel density estimation. Neurocomputing Sheng Chen, Xia Hong, Chris J. Harris
2008	B	`conf`	Complex-valued symmetric radial basis function classifier for quadrature phase shift keying beamforming systems. IJCNN Sheng Chen, Chris J. Harris, Lajos Hanzo
2008	B	`conf`	Fully complex-valued radial basis function networks for orthogonal least squares regression. IJCNN Sheng Chen, Xia Hong, Chris J. Harris
2008	J	`jnl`	Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification. Neurocomputing Sheng Chen, Xia Hong, Chris J. Harris, Lajos Hanzo
2008	J	`jnl`	Model selection approaches for non-linear system identification: a review. Int. J. Syst. Sci. Xia Hong, Richard J. Mitchell, Sheng Chen, Chris J. Harris, Kang Li, George W. Irwin
2008	J	`jnl`	NARX-Based Nonlinear System Identification Using Orthogonal Least Squares Basis Hunting. IEEE Trans. Control. Syst. Technol. Sheng Chen, Xunxian Wang, Chris J. Harris
2008	B	`conf`	Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design. IJCNN Sheng Chen, Xia Hong, Chris J. Harris
2008	J	`jnl`	Symmetric RBF Classifier for Nonlinear Detection in Multiple-Antenna-Aided Systems. IEEE Trans. Neural Networks Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo
2007	J	`jnl`	A Kernel-Based Two-Class Classifier for Imbalanced Data Sets. IEEE Trans. Neural Networks Xia Hong, Sheng Chen, Chris J. Harris
2007	—	`conf`	A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression. ICIC (3) Xia Hong, Sheng Chen, Chris J. Harris
2007	B	`conf`	Probability Density Function Estimation Using Orthogonal Forward Regression. IJCNN Sheng Chen, Xia Hong, Chris J. Harris
2007	C	`conf`	Sparse Kernel Modelling: A Unified Approach. IDEAL Sheng Chen, Xia Hong, Chris J. Harris
2007	B	`conf`	Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems. IJCNN Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo
2006	B	`conf`	Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate. IJCNN Sheng Chen, Chris J. Harris, Xia Hong
2006	—	`conf`	Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate. ICIC (1) Xia Hong, Sheng Chen, Chris J. Harris
2006	J	`jnl`	Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure. IEEE Trans. Neural Networks Sheng Chen, Xunxian Wang, Xia Hong, Chris J. Harris
2006	J	`jnl`	Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model. Int. J. Model. Identif. Control. Xunxian Wang, David Lowe, Sheng Chen, Chris J. Harris
2006	J	`jnl`	Sparse support vector regression based on orthogonal forward selection for the generalised kernel model. Neurocomputing Xunxian Wang, Sheng Chen, David Lowe, Chris J. Harris
2006	J	`jnl`	Using the correlation criterion to position and shape RBF units for incremental modelling. Int. J. Autom. Comput. Xunxian Wang, Sheng Chen, Chris J. Harris
2005	—	`conf`	A Search Algorithm for Global Optimisation. ICNC (2) Sheng Chen, Xunxian Wang, Chris J. Harris
2005	J	`jnl`	Experiments with repeating weighted boosting search for optimization signal processing applications. IEEE Trans. Syst. Man Cybern. Part B Sheng Chen, Xunxian Wang, Chris J. Harris
2005	J	`jnl`	Identification of nonlinear systems using generalized kernel models. IEEE Trans. Control. Syst. Technol. Sheng Chen, Xia Hong, Chris J. Harris, Xunxian Wang
2005	—	`conf`	Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes. ICIC (1) Sheng Chen, Xia Hong, Chris J. Harris
2004	J	`jnl`	Backward Elimination Methods for Associative Memory Network Pruning. Int. J. Hybrid Intell. Syst. Xia Hong, Chris J. Harris, Martin Brown, Sheng Chen
2004	C	`conf`	Kernel Density Construction Using Orthogonal Forward Regression. IDEAL Sheng Chen, Xia Hong, Chris J. Harris
2004	J	`jnl`	Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality. IEEE Trans. Syst. Man Cybern. Part B Xia Hong, Chris J. Harris, Sheng Chen
2004	J	`jnl`	Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization. IEEE Trans. Syst. Man Cybern. Part B Sheng Chen, Xia Hong, Chris J. Harris
2004	J	`jnl`	Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. IEEE Trans. Syst. Man Cybern. Part B Sheng Chen, Xia Hong, Chris J. Harris, Paul M. Sharkey
2003	J	`jnl`	A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition. IEEE Trans. Fuzzy Syst. Xia Hong, Chris J. Harris
2003	B	`conf`	Adaptive Data Based Modelling and Estimation with Application to Real Time Vehicular Collision Avoidance. KES Chris J. Harris
2003	J	`jnl`	Experimental design and model construction algorithms for radial basis function networks. Int. J. Syst. Sci. Xia Hong, Chris J. Harris
2003	J	`jnl`	Mean field method for the support vector machine regression. Neurocomputing Junbin Gao, Steve R. Gunn, Chris J. Harris
2003	J	`jnl`	Robust nonlinear model identification methods using forward regression. IEEE Trans. Syst. Man Cybern. Part A Xia Hong, Chris J. Harris, Sheng Chen, Paul M. Sharkey
2003	J	`jnl`	SVM regression through variational methods and its sequential implementation. Neurocomputing Junbin Gao, Steve R. Gunn, Chris J. Harris
2003	J	`jnl`	Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design. IEEE Trans. Autom. Control. Sheng Chen, Xia Hong, Chris J. Harris
2002	J	`jnl`	A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control. Appl. Intell. Xia Hong, Chris J. Harris
2002	J	`jnl`	A Probabilistic Framework for SVM Regression and Error Bar Estimation. Mach. Learn. Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin Brown
2002	—	`book`	Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach Chris J. Harris, Xia Hong, Qiang Gan
2002	J	`jnl`	Errata to "The relevance vector machine technique for channel equalization application". IEEE Trans. Neural Networks Sheng Chen, Steve R. Gunn, Chris J. Harris
2002	—	`conf`	Extracting Human Gait Signatures by Body Segment Properties. SSIAI Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
2002	Misc	`conf`	Extraction and Description of Moving Human Body by Periodic Motion Analysis. CATA Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
2002	—	`conf`	Model-driven statistical analysis of human gait motion. ICIP (1) Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
2002	J	`jnl`	Nonlinear model structure design and construction using orthogonal least squares and D-optimality design. IEEE Trans. Neural Networks Xia Hong, Chris J. Harris
2002	J	`jnl`	Some remarks on Kalman filters for the multisensor fusion. Inf. Fusion Junbin Gao, Chris J. Harris
2001	J	`jnl`	A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling. IEEE Trans. Neural Networks Qiang Gan, Chris J. Harris
2001	J	`jnl`	Feedback stabilization of fuzzy systems via linear matrix inequalities. Int. J. Syst. Sci. M. Feng, Chris J. Harris
2001	J	`jnl`	Nonlinear model structure detection using optimum experimental design and orthogonal least squares. IEEE Trans. Neural Networks Xia Hong, Chris J. Harris
2001	J	`jnl`	On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces. Neural Comput. Junbin Gao, Chris J. Harris, Steve R. Gunn
2001	J	`jnl`	Piecewise Lyapunov stability conditions of fuzzy systems. IEEE Trans. Syst. Man Cybern. Part B M. Feng, Chris J. Harris
2001	J	`jnl`	State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models. Inf. Fusion Chris J. Harris, Qiang Gan
2001	J	`jnl`	The relevance vector machine technique for channel equalization application. IEEE Trans. Neural Networks Sheng Chen, Steve R. Gunn, Chris J. Harris
2001	J	`jnl`	Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks. IEEE Trans. Fuzzy Syst. Xia Hong, Chris J. Harris
2000	J	`jnl`	Adaptive linear finite-element method for modelling nonlinear dynamic systems. Int. J. Syst. Sci. Chris J. Harris, Junbin Gao
2000	Misc	`conf`	Design of the optimal separating hyperplane for the decision feedback equalizer using support vector machines. ICASSP Sheng Chen, Chris J. Harris
2000	J	`jnl`	Editor's Letter. Int. J. Syst. Sci. Chris J. Harris
2000	B	`conf`	Indirect tuning of membership function in a fixed fuzzy structure for efficient control of a DC drive system. SMC Jitendriya K. Satapathy, Susmita Das, Chris J. Harris, Pradeep Misra
2000	—	`conf`	Statistical Gait Description via Temporal Moments. SSIAI Jamie D. Shutler, Mark S. Nixon, Chris J. Harris
2000	C	`conf`	The Use of AI Methods for Evaluating Condition Dependent Dynamic Models of Vehicle Brake Squeal. IEA/AIE Simon Feraday, Chris J. Harris, Kihong Shin, Mike Brennan, Malcolm Lindsay
1999	J	`jnl`	Fuzzy local linearization and local basis function expansion in nonlinear system modeling. IEEE Trans. Syst. Man Cybern. Part B Qiang Gan, Chris J. Harris
1999	J	`jnl`	Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks. IEEE Trans. Syst. Man Cybern. Part B Qiang Gan, Chris J. Harris
1999	J	`jnl`	Recognising humans by gait via parametric canonical space. Artif. Intell. Eng. Ping S. Huang, Chris J. Harris, Mark S. Nixon
1998	—	`conf`	A Statistical Approach for Recognizing Humans by Gait using Spatial-Temporal Templates. ICIP (3) Ping S. Huang, Chris J. Harris, Mark S. Nixon
1998	J	`jnl`	Adaptive neurofuzzy control for a class of state-dependent nonlinear processes. Int. J. Syst. Sci. M. Feng, Chris J. Harris
1998	A	`conf`	Comparing Different Template Features for Recognizing People by their Gait. BMVC Ping S. Huang, Chris J. Harris, Mark S. Nixon
1998	B	`conf`	Recognizing humans by gait using a statistical approach for temporal templates. SMC Ping S. Huang, Chris J. Harris, Mark S. Nixon
1997	J	`jnl`	A neurofuzzy network structure for modelling and state estimation of unknown nonlinear systems. Int. J. Syst. Sci. Zhi Qiao Wu, Chris J. Harris
1997	J	`jnl`	On the convergence rate performance of the normalized least-mean-square adaptation. IEEE Trans. Neural Networks Pak Cheung Edgar An, Martin Brown, Chris J. Harris
1996	J	`jnl`	An intelligent driver warning system for vehicle collision avoidance. IEEE Trans. Syst. Man Cybern. Part A Pak Cheung Edgar An, Chris J. Harris
1995	J	`jnl`	A global gradient-noise covariance expression for stationary real Gaussian inputs. IEEE Trans. Neural Networks Pak Cheung Edgar An, Martin Brown, Chris J. Harris
1995	J	`jnl`	Comments on "Learning convergence in the cerebellar model articulation controller". IEEE Trans. Neural Networks Martin Brown, Chris J. Harris
1993	J	`jnl`	The interpolation capabilities of the binary CMAC. Neural Networks Martin Brown, Chris J. Harris, Patrick C. Parks