Chris J. Harris

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 16

Top Venues

IJCNN

IEEE Trans. Neural Networks Learn. Syst.

IEEE Trans. Cybern.

IEEE Trans. Signal Process.

Publications

Tong Liu, Xulong Wang, Po Yang, Sheng Chen, Chris J. Harris
Unsupervised Transfer Aided Lifelong Regression for Learning New Tasks Without Target Output. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Tong Liu, Sheng Chen, Po Yang, Yunpeng Zhu, Mehmet Mercangöz, Chris J. Harris
Lifelong Learning Meets Dynamic Processes: An Emerging Streaming Process Prediction Framework With Delayed Process Output Measurement. IEEE Trans. Control. Syst. Technol. 32 (2) (2024)
Tong Liu, Zeyue Tian, Sheng Chen, Kai Wang, Chris J. Harris
Deep Cascade Gradient RBF Networks With Output-Relevant Feature Extraction and Adaptation for Nonlinear and Nonstationary Processes. IEEE Trans. Cybern. 53 (8) (2023)
Tong Liu, Sheng Chen, Kang Li, Shaojun Gan, Chris J. Harris
Adaptive Multioutput Gradient RBF Tracker for Nonlinear and Nonstationary Regression. IEEE Trans. Cybern. 53 (12) (2023)
Tong Liu, Sheng Chen, Shan Liang, Shaojun Gan, Chris J. Harris
Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes. IEEE Trans. Neural Networks Learn. Syst. 33 (5) (2022)
Tong Liu, Sheng Chen, Shan Liang, Chris J. Harris
Growing and Pruning Selective Ensemble Regression for Nonlinear and Nonstationary Systems. IEEE Access 8 (2020)
Tong Liu, Sheng Chen, Shan Liang, Chris J. Harris
Selective ensemble of multiple local model learning for nonlinear and nonstationary systems. Neurocomputing 378 (2020)
Tong Liu, Sheng Chen, Shan Liang, Shaojun Gan, Chris J. Harris
Fast Adaptive Gradient RBF Networks For Online Learning of Nonstationary Time Series. IEEE Trans. Signal Process. 68 (2020)
Tong Liu, Shan Liang, Sheng Chen, Chris J. Harris
A Multiple Local Model Learning for Nonlinear and Time-Varying Microwave Heating Process. IJCNN (2019)
Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
Deep Principal Component Analysis Based on Layerwise Feature Extraction and Its Application to Nonlinear Process Monitoring. IEEE Trans. Control. Syst. Technol. 27 (6) (2019)
Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis. IEEE Trans. Neural Networks Learn. Syst. 29 (3) (2018)
Weiming Shao, Sheng Chen, Chris J. Harris
Adaptive Soft Sensor Development for Multi-Output Industrial Processes Based on Selective Ensemble Learning. IEEE Access 6 (2018)
Sheng Chen, Xia Hong, Emad Khalaf, Ali Morfeq, Naif D. Alotaibi, Chris J. Harris
Single-Carrier Frequency-Domain Equalization With Hybrid Decision Feedback Equalizer for Hammerstein Channels Containing Nonlinear Transmit Amplifier. IEEE Trans. Wirel. Commun. 16 (5) (2017)
Xiaogang Deng, Xuemin Tian, Sheng Chen, Chris J. Harris
Deep learning based nonlinear principal component analysis for industrial process fault detection. IJCNN (2017)
Sheng Chen, Xia Hong, Emad Khalaf, Fuad E. Alsaadi, Chris J. Harris
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. 28 (12) (2017)
Sheng Chen, Xia Hong, Emad Khalaf, Fuad E. Alsaadi, Chris J. Harris
Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems. IJCNN (2016)
Xia Hong, Sheng Chen, Junbin Gao, Chris J. Harris
Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization. IEEE Trans. Cybern. 45 (12) (2015)
Ming Gao, Xia Hong, Chris J. Harris
Construction of Neurofuzzy Models For Imbalanced Data Classification. IEEE Trans. Fuzzy Syst. 22 (6) (2014)
Ming Gao, Xia Hong, Chris J. Harris
A unified neurofuzzy model for classification. Int. J. Syst. Sci. 45 (10) (2014)
Xia Hong, Sheng Chen, Yu Gong, Chris J. Harris
Nonlinear Equalization of Hammerstein OFDM Systems. IEEE Trans. Signal Process. 62 (21) (2014)
Xia Hong, Junbin Gao, Xinwei Jiang, Chris J. Harris
Fast identification algorithms for Gaussian process model. Neurocomputing 133 (2014)
Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris, Emad Khalaf
PDFOS: PDF estimation based over-sampling for imbalanced two-class problems. Neurocomputing 138 (2014)
Yanfeng Sun, Junbin Gao, Xia Hong, Yi Guo, Chris J. Harris
Dimensionality reduction assisted tensor clustering. IJCNN (2014)
Sheng Chen, Xia Hong, Junbin Gao, Chris J. Harris
Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems. IEEE Trans. Neural Networks Learn. Syst. 25 (9) (2014)
Xia Hong, Sheng Chen, Chris J. Harris
B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels. IJCNN (2014)
Xia Hong, Sheng Chen, Chris J. Harris, Emad Khalaf
Single-Carrier Frequency Domain Equalization for Hammerstein Communication Systems Using Complex-Valued Neural Networks. IEEE Trans. Signal Process. 62 (17) (2014)
Sheng Chen, Xia Hong, Chris J. Harris
On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers. IJCNN (2014)
Xia Hong, Junbin Gao, Sheng Chen, Chris J. Harris
Particle swarm optimisation assisted classification using elastic net prefiltering. Neurocomputing 122 (2013)
Xia Hong, Sheng Chen, Chris J. Harris
Elastic-Net Prefiltering for Two-Class Classification. IEEE Trans. Cybern. 43 (1) (2013)
Sheng Chen, Xia Hong, Yu Gong, Chris J. Harris
Digital Predistorter Design Using B-Spline Neural Network and Inverse of De Boor Algorithm. IEEE Trans. Circuits Syst. I Regul. Pap. (6) (2013)
Ming Gao, Xia Hong, Chris J. Harris
A neurofuzzy classifier for two class problems. UKCI (2012)
Xia Hong, Sheng Chen, Chris J. Harris
Using zero-norm constraint for sparse probability density function estimation. Int. J. Syst. Sci. 43 (11) (2012)
Xia Hong, Sheng Chen, Chris J. Harris
Modelling and inverting complex-valued wiener systems. IJCNN (2012)
Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris
Probability density function estimation based over-sampling for imbalanced two-class problems. IJCNN (2012)
Scott F. Page, Sheng Chen, Chris J. Harris, Neil M. White
Repeated weighted boosting search for discrete or mixed search space and multiple-objective optimisation. Appl. Soft Comput. 12 (9) (2012)
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)
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) (2011)
Sheng Chen, Xia Hong, Chris J. Harris
Grey-box radial basis function modelling. Neurocomputing 74 (10) (2011)
Sheng Chen, Xia Hong, Chris J. Harris
Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling. IEEE Trans. Evol. Comput. 14 (4) (2010)
Xia Hong, Sheng Chen, Chris J. Harris
Sparse kernel density estimation technique based on zero-norm constraint. IJCNN (2010)
Sheng Chen, Bing Lam Luk, Chris J. Harris, Lajos Hanzo
Fuzzy-logic tuned constant modulus algorithm and soft decision-directed scheme for blind equalisation. Digit. Signal Process. 20 (3) (2010)
Sheng Chen, Xia Hong, Chris J. Harris
Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression. IJCNN (2010)
Sheng Chen, Xia Hong, Chris J. Harris
Regression based D-optimality experimental design for sparse kernel density estimation. Neurocomputing 73 (4-6) (2010)
Sheng Chen, Xia Hong, Chris J. Harris
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression. IEEE Trans. Syst. Man Cybern. Part B 40 (4) (2010)
Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris
Orthogonal-least-squares regression: A unified approach for data modelling. Neurocomputing 72 (10-12) (2009)
Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris
Non-linear system identification using particle swarm optimisation tuned radial basis function models. Int. J. Bio Inspired Comput. 1 (4) (2009)
Sheng Chen, Xia Hong, Bing Lam Luk, Chris J. Harris
Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection. IEEE Trans. Syst. Man Cybern. Part B 39 (2) (2009)
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)
Sheng Chen, Xunxian Wang, Chris J. Harris
NARX-Based Nonlinear System Identification Using Orthogonal Least Squares Basis Hunting. IEEE Trans. Control. Syst. Technol. 16 (1) (2008)
Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo
Symmetric RBF Classifier for Nonlinear Detection in Multiple-Antenna-Aided Systems. IEEE Trans. Neural Networks 19 (5) (2008)
Sheng Chen, Xia Hong, Chris J. Harris
An orthogonal forward regression technique for sparse kernel density estimation. Neurocomputing 71 (4-6) (2008)
Sheng Chen, Xia Hong, Chris J. Harris, Lajos Hanzo
Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification. Neurocomputing 71 (16-18) (2008)
Xia Hong, Sheng Chen, Chris J. Harris
A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation. IEEE Trans. Neural Networks 19 (1) (2008)
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. Syst. Sci. 39 (10) (2008)
Xia Hong, Sheng Chen, Chris J. Harris
A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound. IEEE Trans. Neural Networks 19 (11) (2008)
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. Syst. Sci. 39 (2) (2008)
Sheng Chen, Chris J. Harris, Lajos Hanzo
Complex-valued symmetric radial basis function classifier for quadrature phase shift keying beamforming systems. IJCNN (2008)
Sheng Chen, Xia Hong, Chris J. Harris
Fully complex-valued radial basis function networks for orthogonal least squares regression. IJCNN (2008)
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) (2008)
Sheng Chen, Xia Hong, Chris J. Harris
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design. IJCNN (2008)
Sheng Chen, Xia Hong, Chris J. Harris
Probability Density Function Estimation Using Orthogonal Forward Regression. IJCNN (2007)
Sheng Chen, Andreas Wolfgang, Chris J. Harris, Lajos Hanzo
Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems. IJCNN (2007)
Sheng Chen, Xia Hong, Chris J. Harris
Sparse Kernel Modelling: A Unified Approach. IDEAL (2007)
Xia Hong, Sheng Chen, Chris J. Harris
A Kernel-Based Two-Class Classifier for Imbalanced Data Sets. IEEE Trans. Neural Networks 18 (1) (2007)
Xia Hong, Sheng Chen, Chris J. Harris
A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression. ICIC (3) (2007)
Xunxian Wang, Sheng Chen, Chris J. Harris
Using the correlation criterion to position and shape RBF units for incremental modelling. Int. J. Autom. Comput. 3 (4) (2006)
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 Trans. Neural Networks 17 (6) (2006)
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)
Xunxian Wang, David Lowe, Sheng Chen, Chris J. Harris
Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model. Int. J. Model. Identif. Control. 1 (4) (2006)
Xunxian Wang, Sheng Chen, David Lowe, Chris J. Harris
Sparse support vector regression based on orthogonal forward selection for the generalised kernel model. Neurocomputing 70 (1-3) (2006)
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)
Sheng Chen, Xunxian Wang, Chris J. Harris
A Search Algorithm for Global Optimisation. ICNC (2) (2005)
Sheng Chen, Xia Hong, Chris J. Harris
Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes. ICIC (1) (2005)
Sheng Chen, Xia Hong, Chris J. Harris, Xunxian Wang
Identification of nonlinear systems using generalized kernel models. IEEE Trans. Control. Syst. Technol. 13 (3) (2005)
Sheng Chen, Xunxian Wang, Chris J. Harris
Experiments with repeating weighted boosting search for optimization signal processing applications. IEEE Trans. Syst. Man Cybern. Part B 35 (4) (2005)
Xia Hong, Chris J. Harris, Martin Brown, Sheng Chen
Backward Elimination Methods for Associative Memory Network Pruning. Int. J. Hybrid Intell. Syst. 1 (2) (2004)
Sheng Chen, Xia Hong, Chris J. Harris
Kernel Density Construction Using Orthogonal Forward Regression. IDEAL (2004)
Xia Hong, Chris J. Harris, Sheng Chen
Robust neurofuzzy rule base knowledge extraction and estimation using subspace decomposition combined with regularization and D-optimality. IEEE Trans. Syst. Man Cybern. Part B 34 (1) (2004)
Sheng Chen, Xia Hong, Chris J. Harris, Paul M. Sharkey
Sparse modeling using orthogonal forward regression with PRESS statistic and regularization. IEEE Trans. Syst. Man Cybern. Part B 34 (2) (2004)
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 Trans. Syst. Man Cybern. Part B 34 (4) (2004)
Chris J. Harris
Adaptive Data Based Modelling and Estimation with Application to Real Time Vehicular Collision Avoidance. KES (2003)
Xia Hong, Chris J. Harris, Sheng Chen, Paul M. Sharkey
Robust nonlinear model identification methods using forward regression. IEEE Trans. Syst. Man Cybern. Part A 33 (4) (2003)
Junbin Gao, Steve R. Gunn, Chris J. Harris
Mean field method for the support vector machine regression. Neurocomputing 50 (2003)
Junbin Gao, Steve R. Gunn, Chris J. Harris
SVM regression through variational methods and its sequential implementation. Neurocomputing 55 (1-2) (2003)
Sheng Chen, Xia Hong, Chris J. Harris
Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design. IEEE Trans. Autom. Control. 48 (6) (2003)
Xia Hong, Chris J. Harris
Experimental design and model construction algorithms for radial basis function networks. Int. J. Syst. Sci. 34 (14-15) (2003)
Xia Hong, Chris J. Harris
A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition. IEEE Trans. Fuzzy Syst. 11 (4) (2003)
Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
Extracting Human Gait Signatures by Body Segment Properties. SSIAI (2002)
Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
Model-driven statistical analysis of human gait motion. ICIP (1) (2002)
Xia Hong, Chris J. Harris
Nonlinear model structure design and construction using orthogonal least squares and D-optimality design. IEEE Trans. Neural Networks 13 (5) (2002)
Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin Brown
A Probabilistic Framework for SVM Regression and Error Bar Estimation. Mach. Learn. 46 (1-3) (2002)
Junbin Gao, Chris J. Harris
Some remarks on Kalman filters for the multisensor fusion. Inf. Fusion 3 (3) (2002)
Xia Hong, Chris J. Harris
A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control. Appl. Intell. 16 (1) (2002)
Sheng Chen, Steve R. Gunn, Chris J. Harris
Errata to "The relevance vector machine technique for channel equalization application". IEEE Trans. Neural Networks 13 (4) (2002)
Jang-Hee Yoo, Mark S. Nixon, Chris J. Harris
Extraction and Description of Moving Human Body by Periodic Motion Analysis. CATA (2002)
M. Feng, Chris J. Harris
Piecewise Lyapunov stability conditions of fuzzy systems. IEEE Trans. Syst. Man Cybern. Part B 31 (2) (2001)
Qiang Gan, Chris J. Harris
A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling. IEEE Trans. Neural Networks 12 (1) (2001)
Xia Hong, Chris J. Harris
Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks. IEEE Trans. Fuzzy Syst. 9 (1) (2001)
Junbin Gao, Chris J. Harris, Steve R. Gunn
On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces. Neural Comput. 13 (9) (2001)
Chris J. Harris, Qiang Gan
State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models. Inf. Fusion 2 (1) (2001)

Chris J. Harris.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chris J. Harris