# Christopher J. Harris

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Collaborative distances:

^{1}, Christopher J. Harris authored at least 130 papers between 1992 and 2018.Collaborative distances:

## Timeline

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## Bibliography

2018

Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis.

IEEE Trans. Neural Netw. Learning Syst., 2018

Adaptive Soft Sensor Development for Multi-Output Industrial Processes Based on Selective Ensemble Learning.

IEEE Access, 2018

2017

Single-Carrier Frequency-Domain Equalization With Hybrid Decision Feedback Equalizer for Hammerstein Channels Containing Nonlinear Transmit Amplifier.

IEEE Trans. Wireless Communications, 2017

Comparative Performance of Complex-Valued B-Spline and Polynomial Models Applied to Iterative Frequency-Domain Decision Feedback Equalization of Hammerstein Channels.

IEEE Trans. Neural Netw. Learning Syst., 2017

Deep learning based nonlinear principal component analysis for industrial process fault detection.

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Complex-valued B-spline neural network and its application to iterative frequency-domain decision feedback equalization for Hammerstein communication systems.

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization.

IEEE Trans. Cybernetics, 2015

2014

Single-Carrier Frequency Domain Equalization for Hammerstein Communication Systems Using Complex-Valued Neural Networks.

IEEE Trans. Signal Processing, 2014

Nonlinear Equalization of Hammerstein OFDM Systems.

IEEE Trans. Signal Processing, 2014

Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems.

IEEE Trans. Neural Netw. Learning Syst., 2014

Construction of Neurofuzzy Models For Imbalanced Data Classification.

IEEE Trans. Fuzzy Systems, 2014

A unified neurofuzzy model for classification.

Int. J. Systems Science, 2014

Fast identification algorithms for Gaussian process model.

Neurocomputing, 2014

PDFOS: PDF estimation based over-sampling for imbalanced two-class problems.

Neurocomputing, 2014

Dimensionality reduction assisted tensor clustering.

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

B-spline neural network based single-carrier frequency domain equalisation for Hammerstein channels.

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

On-line Gaussian mixture density estimator for adaptive minimum bit-error-rate beamforming receivers.

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Elastic-Net Prefiltering for Two-Class Classification.

IEEE Trans. Cybernetics, 2013

Digital Predistorter Design Using B-Spline Neural Network and Inverse of De Boor Algorithm.

IEEE Trans. on Circuits and Systems, 2013

Particle swarm optimisation assisted classification using elastic net prefiltering.

Neurocomputing, 2013

2012

Using zero-norm constraint for sparse probability density function estimation.

Int. J. Systems Science, 2012

Repeated weighted boosting search for discrete or mixed search space and multiple-objective optimisation.

Appl. Soft Comput., 2012

A neurofuzzy classifier for two class problems.

Proceedings of the 12th UK Workshop on Computational Intelligence, 2012

Modelling and inverting complex-valued wiener systems.

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Probability density function estimation based over-sampling for imbalanced two-class problems.

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems.

Neurocomputing, 2011

Grey-box radial basis function modelling.

Neurocomputing, 2011

On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems.

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010

Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 2010

Particle Swarm Optimization Aided Orthogonal Forward Regression for Unified Data Modeling.

IEEE Trans. Evolutionary Computation, 2010

Regression based D-optimality experimental design for sparse kernel density estimation.

Neurocomputing, 2010

Fuzzy-logic tuned constant modulus algorithm and soft decision-directed scheme for blind equalisation.

Digital Signal Processing, 2010

Sparse kernel density estimation technique based on zero-norm constraint.

Proceedings of the International Joint Conference on Neural Networks, 2010

Radial basis function classifier construction using particle swarm optimisation aided orthogonal forward regression.

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Construction of Tunable Radial Basis Function Networks Using Orthogonal Forward Selection.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 2009

Orthogonal-least-squares regression: A unified approach for data modelling.

Neurocomputing, 2009

Non-linear system identification using particle swarm optimisation tuned radial basis function models.

IJBIC, 2009

A tunable radial basis function model for nonlinear system identification using particle swarm optimisation.

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound.

IEEE Trans. Neural Networks, 2008

A Forward-Constrained Regression Algorithm for Sparse Kernel Density Estimation.

IEEE Trans. Neural Networks, 2008

Symmetric RBF Classifier for Nonlinear Detection in Multiple-Antenna-Aided Systems.

IEEE Trans. Neural Networks, 2008

NARX-Based Nonlinear System Identification Using Orthogonal Least Squares Basis Hunting.

IEEE Trans. Contr. Sys. Techn., 2008

Adaptive nonlinear least bit error-rate detection for symmetrical RBF beamforming.

Neural Networks, 2008

Model selection approaches for non-linear system identification: a review.

Int. J. Systems Science, 2008

A fast linear-in-the-parameters classifier construction algorithm using orthogonal forward selection to minimize leave-one-out misclassification rate.

Int. J. Systems Science, 2008

An orthogonal forward regression technique for sparse kernel density estimation.

Neurocomputing, 2008

Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification.

Neurocomputing, 2008

Complex-valued symmetric radial basis function classifier for quadrature phase shift keying beamforming systems.

Proceedings of the International Joint Conference on Neural Networks, 2008

Fully complex-valued radial basis function networks for orthogonal least squares regression.

Proceedings of the International Joint Conference on Neural Networks, 2008

Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design.

Proceedings of the International Joint Conference on Neural Networks, 2008

2007

A Kernel-Based Two-Class Classifier for Imbalanced Data Sets.

IEEE Trans. Neural Networks, 2007

Kernel ellipsoidal trimming.

Computational Statistics & Data Analysis, 2007

Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems.

Proceedings of the International Joint Conference on Neural Networks, 2007

Probability Density Function Estimation Using Orthogonal Forward Regression.

Proceedings of the International Joint Conference on Neural Networks, 2007

Sparse Kernel Modelling: A Unified Approach.

Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

A Sparse Kernel Density Estimation Algorithm Using Forward Constrained Regression.

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques, 2007

2006

Kernel Classifier Construction Using Orthogonal Forward Selection and Boosting With Fisher Ratio Class Separability Measure.

IEEE Trans. Neural Networks, 2006

Sparse support vector regression based on orthogonal forward selection for the generalised kernel model.

Neurocomputing, 2006

Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model.

IJMIC, 2006

Construction of RBF Classifiers with Tunable Units using Orthogonal Forward Selection Based on Leave-One-Out Misclassification Rate.

Proceedings of the International Joint Conference on Neural Networks, 2006

Fast Kernel Classifier Construction Using Orthogonal Forward Selection to Minimise Leave-One-Out Misclassification Rate.

Proceedings of the Intelligent Computing, 2006

The Minimum Volume Covering Ellipsoid Estimation in Kernel-Defined Feature Spaces.

Proceedings of the Machine Learning: ECML 2006, 2006

2005

Intelligent Neurofuzzy Control of a Robotic Gripper.

Proceedings of the Innovations in Robot Mobility and Control, 2005

Experiments with repeating weighted boosting search for optimization signal processing applications.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 2005

Identification of nonlinear systems using generalized kernel models.

IEEE Trans. Contr. Sys. Techn., 2005

A Search Algorithm for Global Optimisation.

Proceedings of the Advances in Natural Computation, First International Conference, 2005

Orthogonal Forward Selection for Constructing the Radial Basis Function Network with Tunable Nodes.

Proceedings of the Advances in Intelligent Computing, 2005

2004

Sparse modeling using orthogonal forward regression with PRESS statistic and regularization.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 2004

Sparse kernel density construction using orthogonal forward regression with leave-one-out test score and local regularization.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 2004

Adaptive neurofuzzy control of a robotic gripper with on-line machine learning.

Robotics and Autonomous Systems, 2004

Backward Elimination Methods for Associative Memory Network Pruning.

Int. J. Hybrid Intell. Syst., 2004

Adaptive neurofuzzy control of a robotic gripper with external disturbances.

Proceedings of the IEEE International Conference on Systems, 2004

Kernel Density Construction Using Orthogonal Forward Regression.

Proceedings of the Intelligent Data Engineering and Automated Learning, 2004

2003

Robust nonlinear model identification methods using forward regression.

IEEE Trans. Systems, Man, and Cybernetics, Part A, 2003

Adaptive neural network control for robotic manipulators [Book Review].

IEEE Trans. Robotics and Automation, 2003

A neurofuzzy network knowledge extraction and extended Gram-Schmidt algorithm for model subspace decomposition.

IEEE Trans. Fuzzy Systems, 2003

Sparse kernel regression modeling using combined locally regularized orthogonal least squares and D-optimality experimental design.

IEEE Trans. Automat. Contr., 2003

Experimental design and model construction algorithms for radial basis function networks.

Int. J. Systems Science, 2003

SVM regression through variational methods and its sequential implementation.

Neurocomputing, 2003

Mean field method for the support vector machine regression.

Neurocomputing, 2003

Adaptive Data Based Modelling and Estimation with Application to Real Time Vehicular Collision Avoidance.

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2002

Nonlinear model structure design and construction using orthogonal least squares and D-optimality design.

IEEE Trans. Neural Networks, 2002

Errata to "The relevance vector machine technique for channel equalization application".

IEEE Trans. Neural Networks, 2002

A Probabilistic Framework for SVM Regression and Error Bar Estimation.

Machine Learning, 2002

Some remarks on Kalman filters for the multisensor fusion.

Information Fusion, 2002

Identification of non-linear time series via kernels.

Int. J. Systems Science, 2002

Structure selection of neurofuzzy networks based on support vector regression.

Int. J. Systems Science, 2002

A Mixture of Experts Network Structure Construction Algorithm for Modelling and Control.

Appl. Intell., 2002

Extracting Human Gait Signatures by Body Segment Properties.

Proceedings of the 5th IEEE Southwest Symposium on Image Analysis and Interpretation, 2002

Model-driven statistical analysis of human gait motion.

Proceedings of the 2002 International Conference on Image Processing, 2002

Extraction and Description of Moving Human Body by Periodic Motion Analysis.

Proceedings of the ISCA 17th International Conference Computers and Their Applications, 2002

Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach

Springer, ISBN: 3-540-42686-8, 2002

2001

Piecewise Lyapunov stability conditions of fuzzy systems.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 2001

Nonlinear model structure detection using optimum experimental design and orthogonal least squares.

IEEE Trans. Neural Networks, 2001

A hybrid learning scheme combining EM and MASMOD algorithms for fuzzy local linearization modeling.

IEEE Trans. Neural Networks, 2001

The relevance vector machine technique for channel equalization application.

IEEE Trans. Neural Networks, 2001

Variable selection algorithm for the construction of MIMO operating point dependent neurofuzzy networks.

IEEE Trans. Fuzzy Systems, 2001

On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces.

Neural Computation, 2001

State estimation and multi-sensor data fusion using data-based neurofuzzy local linearisation process models.

Information Fusion, 2001

Feedback stabilization of fuzzy systems via linear matrix inequalities.

Int. J. Systems Science, 2001

A pseudo-adaptive fuzzy controller using hybrid T-operator concept.

Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

2000

Generalized neurofuzzy network modeling algorithms using Bezier-Bernstein polynomial functions and additive decomposition.

IEEE Trans. Neural Netw. Learning Syst., 2000

Adaptive linear finite-element method for modelling nonlinear dynamic systems.

Int. J. Systems Science, 2000

Editor's Letter.

Int. J. Systems Science, 2000

Statistical Gait Description via Temporal Moments.

Proceedings of the 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

Indirect tuning of membership function in a fixed fuzzy structure for efficient control of a DC drive system.

Proceedings of the IEEE International Conference on Systems, 2000

The Use of AI Methods for Evaluating Condition Dependent Dynamic Models of Vehicle Brake Squeal.

Proceedings of the Intelligent Problem Solving, 2000

Design of the optimal separating hyperplane for the decision feedback equalizer using support vector machines.

Proceedings of the IEEE International Conference on Acoustics, 2000

1999

Linearization and state estimation of unknown discrete-time nonlinear dynamic systems using recurrent neurofuzzy networks.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 1999

Fuzzy local linearization and local basis function expansion in nonlinear system modeling.

IEEE Trans. Systems, Man, and Cybernetics, Part B, 1999

Neurofuzzy identification of an autonomous underwater vehicle.

Int. J. Systems Science, 1999

Recognising humans by gait via parametric canonical space.

AI in Engineering, 1999

1998

Adaptive Neural Network Control of Robotic Manipulators

World Scientific Series in Robotics and Intelligent Systems 19, World Scientific, ISBN: 978-981-4496-22-3, 1998

Recognizing humans by gait using a statistical approach for temporal templates.

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

A Statistical Approach for Recognizing Humans by Gait using Spatial-Temporal Templates.

Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Comparing Different Template Features for Recognizing People by their Gait.

Proceedings of the British Machine Vision Conference 1998, 1998

1997

On the convergence rate performance of the normalized least-mean-square adaptation.

IEEE Trans. Neural Networks, 1997

A neurofuzzy network structure for modelling and state estimation of unknown nonlinear systems.

Int. J. Systems Science, 1997

1996

An intelligent driver warning system for vehicle collision avoidance.

IEEE Trans. Systems, Man, and Cybernetics, Part A, 1996

One-to-one mapping and its application to neural networks based control systems design.

Int. J. Systems Science, 1996

Editorial Robotic manipulators.

Int. J. Systems Science, 1996

Editorial Intelligent autonomous vehicles.

Int. J. Systems Science, 1996

Editorial.

Int. J. Systems Science, 1996

1995

Comments on "Learning convergence in the cerebellar model articulation controller".

IEEE Trans. Neural Networks, 1995

A global gradient-noise covariance expression for stationary real Gaussian inputs.

IEEE Trans. Neural Networks, 1995

A perspective and critique of adaptive neurofuzzy systems used for modelling and control applications.

Int. J. Neural Syst., 1995

1994

Neurocontrol : H. Tolle and E. Ersu.

Automatica, 1994

1993

Intelligent Control - Aspects of Fuzzy Logic and Neural Nets

World Scientific Series in Robotics and Intelligent Systems 6, World Scientific, ISBN: 978-981-4505-34-5, 1993

The interpolation capabilities of the binary CMAC.

Neural Networks, 1993

1992

Fuzzy control & fuzzy systems : W. Pedrycz.

Automatica, 1992