S. Billings

Visakan Kadirkamanathan, Stephen A. Billings, Jing Yang, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Neural Networks for Nonlinear System Identification

Stephen A. Billings, S. Billings, 2013 .

Feature Selection and Ranking

Stephen A. Billings, S. Billings, 2013 .

Identification of probabilistic cellular automata

Stephen A. Billings, Yingxu Yang, S. Billings, 2003, IEEE Trans. Syst. Man Cybern. Part B.

Electric arc furnace modelling and control

Stephen A. Billings, Francis M. Boland, H. Nicholson, 1979, Autom..

Identification of a temperature Dependent FitzHugh-Nagumo Model for the Belousov-Zhabotinskii reaction

Stephen A. Billings, Daniel Coca, Yuzhu Guo, 2011, Int. J. Bifurc. Chaos.

Neighbourhood detection and identification of spatio-temporal dynamical systems using a coarse-to-fine approach

Stephen A. Billings, Lingzhong Guo, S. S. Mei, 2007, Int. J. Syst. Sci..

Model Validation of Spatiotemporal Systems Using Correlation Function Tests

Stephen A. Billings, Yi Pan, S. Billings, 2007, Int. J. Bifurc. Chaos.

Correction on some typos in “New bound characteristics of NARX model in the frequency domain”

Stephen A. Billings, Zi Qiang Lang, Xing Jian Jing, 2007, Int. J. Control.

Reverse Engineering Gain Adaptation in Sensory Systems

Stephen A. Billings, Daniel Coca, Mikko Juusola, 2012, BioMed 2012.

A new maximum relevance-minimum multicollinearity (MRmMC) method for feature selection and ranking

Stephen A. Billings, Hua-Liang Wei, Azlyna Senawi, 2017, Pattern Recognit..

Time‐Varying and Nonlinear System Identification

Stephen A. Billings, S. Billings, 2013 .

Suppressing Resonant Vibrations Using Nonlinear Springs and Dampers

Stephen A. Billings, Zi-Qiang Lang, Geoffrey R. Tomlinson, 2009 .

Analysis of immune cell function using in vivo cell shape analysis and tracking

Visakan Kadirkamanathan, Stephen A. Billings, Constantino Carlos Reyes-Aldasoro, 2009 .

System Identification Using Wavelets

Stephen A. Billings, Daniel Coca, S. Billings, 2011 .

Drift-Diffusion Analysis of Neutrophil Migration during Inflammation Resolution in a Zebrafish Model

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Billings, 2012, Advances in hematology.

Multiscale identification of spatio-temporal dynamical systems using a wavelet multiresolution analysis

S. Billings, D. Coca, Lingzhong Guo, 2007 .

Design of Nonlinear Systems in the Frequency Domain – Energy Transfer Filters and Nonlinear Damping

S. Billings, 2013 .

Volterra series truncation and reduction in the frequency domain for weakly nonlinear system

S. Billings, L. Li, 2006 .

A novel logistic-NARX model as a classifier for dynamic binary classification

José Roberto Ayala Solares, S. Billings, Hua-Liang Wei, 2017, Neural Computing and Applications.

Real-time diffuse optical tomography using reduced-orderlight propagation models based on a priori anatomical andfunctional information

J. Mayhew, D. Johnston, S. Billings, 2010 .

REAL-TIME DIFFUSE OPTICAL TOMOGRAPHY USING REDUCED-ORDER LIGHT PROPAGATION MODELS

E. E. Vidal-Rosas, Ernesto E. Vidal-Rosas, J. Mayhew, 2010, BioMed 2010.

Volterra Series Approximation of a Class of Nonlinear Dynamical Systems Using the Adomian Decomposition Method

S. Billings, D. Coca, Yuzhu Guo, 2013, Nonlinear Dynamics.

Neural Networks for Nonlinear Dynamic System Modelling and Identification

Sheng Chen, S. Billings, 1992 .

Identification of nonlinear processes in the magnetospheric dynamics and forecasting of Dst index

S. A. Billings, Michael A. Balikhin, H. Alleyne, 2001 .

Identification of radius-vector functions of interface evolution for star-shaped crystal growth

S. Billings, Yifan Zhao, D. Coca, 2012 .

Spatiotemporal Analysis of an Agent-Based Model of a Colony of Keratinocytes: A First Approach for the Development of Validation Methods

César Pichardo-Almarza, Rod Smallwood, Stephen A. Billings, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Differential Evolution and Its Application to Metabolic Flux Analysis

Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright, 2005, EvoWorkshops.

Parameter estimation for stochastic nonlinear rational models

Stephen A. Billings, Quanmin Zhu, S. Billings, 1993 .

Parameter estimation based on stacked regression and evolutionary algorithms

Steve A. Billings, Xia Hong, S. Billings, 1999 .

Energy transfer properties of non-linear systems in the frequency domain

S. A. Billings, Z. Q. Lang *, S. Billings, 2004 .

Identification of continuous time nonlinear systems using delayed state variable filters

S. A. Billings, S. Billings, K. Tsang, 1994 .

The Neutrophil's Eye-View: Inference and Visualisation of the Chemoattractant Field Driving Cell Chemotaxis In Vivo

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Billings, 2012, PloS one.

Spatio-temporal generalised frequency response functions over unbounded spatial domains

S. Billings, Z. Lang, D. Coca, 2010 .

Spatio-temporal generalised frequency response functions

S. Billings, Z. Lang, D. Coca, 2010 .

Modified variational Bayes EM estimation of hidden Markov tree model of cell lineages

Visakan Kadirkamanathan, Stephen A. Billings, Daniel Coca, 2009, Bioinform..

System identification methods for metal rubber devices

Jem A. Rongong, S. A. Billings, G. R. Tomlinson, 2013 .

Neighborhood Detection for the Identification of Spatiotemporal Systems

Stephen A. Billings, Yi Pan, S. Billings, 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Radial Basis Function Network Configuration Using Mutual Information and the Orthogonal Least Squares Algorithm

Stephen A. Billings, Guang L. Zheng, G. L. Zheng, 1996, Neural Networks.

Identification of coupled map lattice models for spatio-temporal patterns using wavelets

Stephen A. Billings, Lingzhong Guo, Hua-Liang Wei, 2006, Int. J. Syst. Sci..

Identification of coupled map lattice models of complex spatio-temporal patterns

Stephen A. Billings, Daniel Coca, S. Billings, 2001 .

Layered Architecture for the Control of Micro Saccadic Tracking of a Stereo Camera Head

Stephen A. Billings, John E. W. Mayhew, Ying Zheng, 1992, BMVC.

Metabolic flux distribution analysis by 13C-tracer experiments using the Markov chain-Monte Carlo method.

S. Billings, V. Kadirkamanathan, S. Wongsa, 2005, Biochemical Society transactions.

Wavelet based non-parametric NARX models for nonlinear input–output system identification

Stephen A. Billings, Hua-Liang Wei, Michael A. Balikhin, 2006, Int. J. Syst. Sci..

Model structure selection using an integrated forward orthogonal search algorithm assisted by squared correlation and mutual information

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2008, Int. J. Model. Identif. Control..

An alternative solution to the model structure selection problem

Stephen A. Billings, E. M. A. M. Mendez, S. Billings, 2001, IEEE Trans. Syst. Man Cybern. Part A.

An adaptive orthogonal search algorithm for model subset selection and non-linear system identification

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2008, Int. J. Control.

A new class of wavelet networks for nonlinear system identification

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2005, IEEE Transactions on Neural Networks.

The wavelet-NARMAX representation: A hybrid model structure combining polynomial models with multiresolution wavelet decompositions

S. A. Billings, H. L. Wei, S. Billings, 2005, Int. J. Syst. Sci..

Identification and reconstruction of chaotic systems using multiresolution wavelet decompositions

H. L. Wei, S. A. Billings, S. Billings, 2004, Int. J. Syst. Sci..

Balanced excitation and inhibition: Model based analysis of local field potentials

Stephen A. Billings, John E. W. Mayhew, Ying Zheng, 2012, NeuroImage.

A Pilot Study Investigating a Novel Non-Linear Measure of Eyes Open versus Eyes Closed EEG Synchronization in People with Alzheimer’s Disease and Healthy Controls

Hua-Liang Wei, Annalena Venneri, Stephen A Billings, 2018, Brain sciences.

A New Proxy Measurement Algorithm with Application to the Estimation of Vertical Ground Reaction Forces Using Wearable Sensors

Stephen A. Billings, Aleksandar Pavic, Lingzhong Guo, 2017, Sensors.

Prepatterning in the Stem Cell Compartment

S. Billings, V. Kadirkamanathan, P. Andrews, 2010, PloS one.

Model validation tests for multivariable nonlinear models including neural networks

Stephen A. Billings, Quanmin Zhu, S. Billings, 1995 .

Spectral analysis for non-linear systems, Part I: Parametric non-linear spectral analysis

S. A. Billings, K. M. Tsang, S. Billings, 1989 .

Representations of non-linear systems: the NARMAX model

Sheng Chen, Stephen A. Billings, Sheng Chen, 1989 .

Identification of systems containing linear dynamic and static nonlinear elements

Stephen A. Billings, S. Y. Fakhouri, S. Billings, 1982, Autom..

Identi cation of a class of nonlinear systems using correlation analysis

Stephen A. Billings, S. Y. Fakhouri, S. Billings, 1978 .

Modeling and prediction of global magnetic disturbance in near‐Earth space: A case study for Kp index using NARX models

Stephen A. Billings, Simon N. Walker, Hua-Liang Wei, 2016 .

Self-tuning and adaptive control: theory and applications

Stephen A. Billings, C. J. Harris, S. Billings, 1981 .

Identification of finite dimensional models of infinite dimensional dynamical systems

Stephen A. Billings, Daniel Coca, S. Billings, 2002, Autom..

Identification of coupled map lattice models of deterministic distributed parameter systems

Stephen A. Billings, Daniel Coca, S. Billings, 2002, Int. J. Syst. Sci..

Using the NARMAX approach to model the evolution of energetic electrons fluxes at geostationary orbit

S. A. Billings, Michael A. Balikhin, Simon N. Walker, 2011 .

Time scaling of the electron flux increase at GEO: The local energy diffusion model vs observations

S. Billings, R. Boynton, M. Balikhin, 2012 .

Time domain analysis of plasma turbulence observed upstream of a quasi‐parallel shock

Daniel Coca, S. A. Billings, Michael A. Balikhin, 2001 .

Inferring the variation of climatic and glaciological contributions to West Greenland iceberg discharge in the twentieth century

Visakan Kadirkamanathan, Steve A. Billings, Yifan Zhao, 2016 .

A century of variation in the dependence of Greenland iceberg calving on ice sheet surface mass balance and regional climate change

S. A. Billings, V. Kadirkamanathan, H. L. Wei, 2014, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Investigating microbial transformations of soil organic matter

S. Billings, F. Ballantyne, L. Tiemann, 2014 .

Non-linear output frequency response functions of MDOF systems with multiple non-linear components

S. A. Billings, Zhike Peng, Z. Q. Lang, 2007 .

Resonances and resonant frequencies for a class of nonlinear systems

Steve A. Billings, Zhike Peng, Zi-Qiang Lang, 2007 .

New bound characteristics of NARX model in the frequency domain

Stephen A. Billings, Xing Jian Jing, Zi Qiang Lang, 2007, Int. J. Control.

Crack detection using nonlinear output frequency response functions - an experimental study

S. A. Billings, Z. Q. Lang, Z. K. Peng, 2006 .

A bound for the magnitude characteristics of nonlinear output frequency response functions Part 2: Practical computation of the bound for systems described by the nonlinear autoregressive model with exogenous input

Zi-Qiang Lang, S. A. Billings, S. Billings, 1996 .

Analysing non-linear systems in the frequency domain--II. The phase response

S. A. Billings, H. Zhang, S. Billings, 1994 .

Feasibility study of structural damage detection using NARMAX modelling and Nonlinear Output Frequency Response Function based analysis

Zhike Peng, Zhike Peng, Zi-Qiang Lang, 2011 .

Parametric Characteristic Analysis for Generalized Frequency Response Functions of Nonlinear Systems

Stephen A. Billings, Zi Qiang Lang, Xing Jian Jing, 2009, Circuits Syst. Signal Process..

Analytical Description of the Frequency Response Function of the Generalized Higher Order Duffing Oscillator Model

Stephen A. Billings, Zi Qiang Lang, Bin Zhang, 2009, IEEE Transactions on Circuits and Systems I: Regular Papers.

Novel method for detecting the non-linear components in periodic structures

S. Billings, Z. Lang, Z. Peng, 2008 .

Mapping from parametric characteristics to generalized frequency response functions of non-linear systems

Stephen A. Billings, Zi Qiang Lang, Xing Jian Jing, 2008, Int. J. Control.

Magnitude bounds of generalized frequency response functions for nonlinear Volterra systems described by NARX model

Stephen A. Billings, Zi Qiang Lang, Xing Jian Jing, 2008, Autom..

Frequency domain analysis for non-linear Volterra systems with a general non-linear output function

Stephen A. Billings, Zi Qiang Lang, Xing Jian Jing, 2008, Int. J. Control.

An Algorithm for Determining the Output Frequency Range of Volterra Models With Multiple Inputs

Stephen A. Billings, Zi Qiang Lang, Hua-Liang Wei, 2007, IEEE Transactions on Circuits and Systems II: Express Briefs.

Non-linear output frequency response functions for multi-input non-linear Volterra systems

Stephen A. Billings, Zi Qiang Lang, Z. K. Peng, 2007, Int. J. Control.

Output Frequencies of A Class of Nonlinear Systems

Stephen A. Billings, Xiaofeng Wu, Zi Qiang Lang, 2006, 2006 13th IEEE International Conference on Electronics, Circuits and Systems.

Analytical description of the effects of system nonlinearities on output frequency responses: A case study

G. R. Tomlinson, Z. Q. Lang, Steve A. Billings, 2006 .

THE NONLINEAR OUTPUT FREQUENCY RESPONSE FUNCTION AND ITS APPLICATION TO FAULT DETECTION

Zhike Peng, Zi-Qiang Lang, Stephen A. Billings, 2006 .

An investigation into the characteristics of non-linear frequency response functions. Part 1: Understanding the higher dimensional frequency spaces

S. A. Billings, S. Billings, Z. Lang, 2005 .

Accurate computation of output frequency responses of nonlinear systems

Stephen A. Billings, Geoffrey R. Tomlinson, Z. Q. Lang, 2004, International Conference on Vibration Measurements by Laser Techniques: Advances and Applications.

Evaluation of output frequency responses of nonlinear systems under multiple inputs

Zi-Qiang Lang, S. A. Billings, S. Billings, 2000 .

Identification of coupled map lattice models of stochastic spatio-temporal dynamics using wavelets

Lingzhong Guo, S. A. Billings, S. Billings, 2004 .

An Orthogonal Least Squares based approach to FIR designs

Zi-Qiang Lang, Stephen A. Billings, Xiao-Feng Wu, 2005, Int. J. Autom. Comput..

Time-varying linear and nonlinear parametric model for Granger causality analysis.

Yang Li, Hua-Liang Wei, Xiao-Feng Liao, 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG

Stephen A. Billings, Hua-Liang Wei, Yang Li, 2016, Int. J. Syst. Sci..

Spectral Analysis for Nonstationary and Nonlinear Systems: A Discrete-Time-Model-Based Approach

Stephen A. Billings, Fei He, Yifan Zhao, 2013, IEEE Transactions on Biomedical Engineering.

Properties of neural networks with applications to modelling non-linear dynamical systems

Stephen A. Billings, Hishamuddin Jamaluddin, Sheng Chen, 1992 .

Fractional power NARX model identification using a harmony search algorithm

S. A. Billings, Jia Zhao, Yifan Zhao, 2012, 2012 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA) Proceedings.

Model structure detection and system identification of metal rubber devices

Jem A. Rongong, S. A. Billings, G. R. Tomlinson, 2010 .

Variable neural networks for adaptive control of nonlinear systems

Guoping Liu, Visakan Kadirkamanathan, Stephen A. Billings, 1999, IEEE Trans. Syst. Man Cybern. Part C.

Stable Sequential Identification of Continuous Nonlinear Dynamical Systems by Growing RBF Networks

S. A. Billings, Guo-Ping Liu, V. Kadirkamanathan, 1994 .

Extracting Boolean rules from CA patterns

Stephen A. Billings, Yingxu Yang, S. Billings, 2000, IEEE Trans. Syst. Man Cybern. Part B.

Self-adaptive evolutionary algorithm based methods for quantification in metabolic systems

Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright, 2004, 2004 Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

The identification of linear and non-linear models of a turbocharged automotive diesel engine

S. A. Billings, Sheng Chen, R. J. Backhouse, 1989 .

Structure Detection and Model Validity Tests in the Identification of Nonlinear Systems

S. A. Billings, S. Billings, 1983 .

A comparison of the backpropagation and recursive prediction error algorithms for training neural networks

Stephen A. Billings, Hishamuddin Jamaluddin, Sheng Chen, 1991 .

Theoretical study of the effects of nonlinear viscous damping on vibration isolation of sdof systems

Xingjian Jing, Zi-Qiang Lang, Stephen A. Billings, 2009 .

Frequency domain analysis for suppression of output vibration from periodic disturbance using nonlinearities

Xingjian Jing, Zi-Qiang Lang, Stephen A. Billings, 2008 .

Output frequency response function of nonlinear Volterra systems

Stephen A. Billings, Zi-Qiang Lang, R. Yue, 2006, Autom..

Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems

Stephen A. Billings, Lingzhong Guo, Yuzhu Guo, 2016, Neurocomputing.

Smoothing data with Local Instabilities for the Identification of Chaotic Systems.

Eduardo M. A. M. Mendes, Steve A. Billings, Luis A. Aguirre, 1996 .

The coupling between the solar wind and proton fluxes at GEO

S. Billings, R. Boynton, O. Amariutei, 2013 .

Online NARMAX model for electron fluxes at GEO

S. Billings, R. Boynton, M. Balikhin, 2015 .

NARMAX Model as a Sparse, Interpretable and Transparent Machine Learning Approach for Big Medical and Healthcare Data Analysis

Stephen Billings, Hua-Liang Wei, S. Billings, 2019, 2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS).

5. Model Validation

Stephen A. Billings, S. Billings, 2013 .

An adaptive wavelet neural network for spatio-temporal system identification

Stephen A. Billings, Lingzhong Guo, Yifan Zhao, 2010, Neural Networks.

Time-varying parametric modelling and time-dependent spectral characterisation with applications to EEG signals using multiwavelets

Stephen A. Billings, Hua-Liang Wei, Julian J. Liu, 2010, Int. J. Model. Identif. Control..

Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio–Temporal System Identification

Stephen A. Billings, Lingzhong Guo, Yifan Zhao, 2009, IEEE Transactions on Neural Networks.

An efficient nonlinear cardinal B-spline model for high tide forecasts at the Venice Lagoon

S. A. Billings, Hua-Liang Wei, S. Billings, 2006 .

A new direct approach of computing multi-step ahead predictions for non-linear models

S. A. Billings, K. L. Lee, S. Billings, 2003 .

Identification of Time-Varying Systems Using Multiresolution Wavelet Models

Steve A. Billings, Hua-Liang Wei, S. Billings, 2003 .

Continuous-Time System Identification for Linear and Nonlinear Systems Using Wavelet Decompositions

Daniel Coca, Steve A. Billings, S. Billings, 1997 .

The Determination of Multivariable Nonlinear Models for Dynamic Systems Using neural Networks

Stephen A. Billings, S. Chen, S. Billings, 1996 .

Model validity tests for non-linear signal processing applications

S. A. Billings, S. Billings, Q. H. Tao, 1991 .

Nonlinear System Identification and Analysis of Complex Dynamical Behavior in reflected Light Measurements of vasomotion

Stephen A. Billings, John E. W. Mayhew, Ying Zheng, 2000, Int. J. Bifurc. Chaos.

Quasi-Linear Transfer Function: A New Method for Frequency Domain Analysis of Nonlinear Systems pdf

S. A. Billings, Hua-Liang Wei, S. Billings, 2021, ArXiv.

Characterising linear spatio-temporal dynamical systems in the frequency domain

S. Billings, D. Coca, Z. Peng, 2007 .

Analysis of multi-degree-of-freedom nonlinear systems using nonlinear output frequency response functions

S. A. Billings, Z. K. Peng, Z. Q. Lang, 2006 .

A novel method for detecting the position of nonlinear components in multi-degree-of-freedom nonlinear systems

Z. K. Peng, Z. Q. Lang, S. A. Billings, 2006 .

Relationships between the nonlinear outputfrequency response functions of multi-degree-of-freedom nonlinear systems

S. Billings, Z. Lang, Z. Peng, 2006 .

Nonlinear output frequency response functions formulti-input nonlinear volterra systems

S. Billings, Z. Lang, Z. Peng, 2006 .

Analysis of fast-sampled non-linear systems: Generalised frequency response functions for delta-operator models

S. A. Billings, V. Kadirkamanathan, M. A. Chadwick, 2006, Signal Process..

Task Identification and Characterisation in Mobile Robotics

Theocharis Kyriacou, Roberto Iglesias, Steve A. Billings, 2004 .

A Smoothing Algorithm for Nonlinear Time Series

Stephen A. Billings, Kian L. Lee, S. Billings, 2004, Int. J. Bifurc. Chaos.

Robot learning through task identification

Stephen A. Billings, Theocharis Kyriacou, Roberto Iglesias, 2006, Robotics Auton. Syst..

Real-Life Measurement of Tri-Axial Walking Ground Reaction Forces Using Optimal Network of Wearable Inertial Measurement Units

Stephen A. Billings, Aleksandar Pavic, James M. W. Brownjohn, 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Nonlinear Fisher discriminant analysis using a minimum squared error cost function and the orthogonal least squares algorithm

Stephen A. Billings, Kian L. Lee, S. Billings, 2002, Neural Networks.

Data derived NARMAX Dst model

Stephen A. Billings, Michael A. Balikhin, R. J. Boynton, 2011 .

A new NARX-based Granger linear and nonlinear casual influence detection method with applications to EEG data

Fei He, Yifan Zhao, Steve A. Billings, 2013, Journal of Neuroscience Methods.

Publisher's Note: Time-varying linear and nonlinear parametric model for Granger causality analysis [Phys. Rev. E 85, 041906 (2012)]

S. Billings, H.L. Wei, Yang Li, 2012 .

Subharmonic oscillation modeling and MISO Volterra series

Stephen A. Billings, S. Billings, O. M. Boaghe, 2003 .

Spectral analysis for non-linear systems, Part II: Interpretation of non-linear frequency response functions

Stephen A. Billings, K. M. Tsang, S. Billings, 1989 .

A Nonlinear Generalization of Spectral Granger Causality

Stephen A. Billings, Fei He, Hua-Liang Wei, 2014, IEEE Transactions on Biomedical Engineering.

Imaging of Nonlinear and Dynamic Functional Brain Connectivity Based on EEG Recordings With the Application on the Diagnosis of Alzheimer’s Disease

Jiang Liu, Yitian Zhao, Yifan Zhao, 2019, IEEE Transactions on Medical Imaging.

A Parametric Method to Measure Time-Varying Linear and Nonlinear Causality With Applications to EEG Data

Stephen A. Billings, Yifan Zhao, Hua-Liang Wei, 2013, IEEE Transactions on Biomedical Engineering.

Identification of continuous-time models for nonlinear dynamic systems from discrete data

Stephen A. Billings, Lingzhong Guo, Yuzhu Guo, 2016, Int. J. Syst. Sci..

Identification of multiscale spatio-temporal dynamical systems using a wavelet multiresolution analysis

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2009, Int. J. Syst. Sci..

A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm

Stephen A. Billings, Yifan Zhao, Hua-Liang Wei, 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Sparse Model Identification Using a Forward Orthogonal Regression Algorithm Aided by Mutual Information

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2007, IEEE Transactions on Neural Networks.

Neural activity inspired asymmetric basis function TV-NARX model for the identification of time-varying dynamic systems

Yang Li, S. A. Billings, Lingzhong Guo, 2019, Neurocomputing.

A new frequency domain representation and analysis for subharmonic oscillation

S. Billings, L. Li, 2012, Nonlinear Dynamics.

Experimental design and identifiability for non-linear systems

S. A. Billings, I. J. Leontaritis, S. Billings, 1987 .

Non-linear system identification using wavelet multiresolution models

Daniel Coca, S. A. Billings, S. Billings, 2001 .

Application of nonlinear autoregressive moving average exogenous input models to Geospace: Advances in understanding and space weather forecasts

S. Billings, R. Boynton, M. Balikhin, 2013 .

Reproducibility of parameters of postocclusive reactive hyperemia measured by diffuse optical tomography

Daniel Coca, Ernesto E Vidal-Rosas, Stephen A Billings, 2016, Journal of biomedical optics.

A parametric frequency response method for non-linear time-varying systems

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2014, Int. J. Syst. Sci..

Development of spatiotemporal validation methods of an agent-based model of epithelial cells: analysis of a colony of keratinocytes

César Pichardo-Almarza, Rod Smallwood, Stephen A. Billings, 2008, Int. J. Funct. Informatics Pers. Medicine.

Cellular automata modelling of dendritic crystal growth based on Moore and von Neumann neighbourhoods

Stephen A. Billings, Daniel Coca, Yifan Zhao, 2009, Int. J. Model. Identif. Control..

Data based quest for solar wind‐magnetosphere coupling function

Daniel Coca, S. A. Billings, Michael A. Balikhin, 2010 .

Two-dimensional pattern analysis and classification using a complex orthogonal estimation algorithm

S. A. Billings, K. M. Tsang, S. Billings, 1994 .

Nonlinear influence in the frequency domain: Alternating series

Stephen A. Billings, Zi Qiang Lang, Xing Jian Jing, 2011, Syst. Control. Lett..

Data Modelling for Analysis of Adaptive Changes in Fly Photoreceptors

Stephen A. Billings, Daniel Coca, Mikko Juusola, 2009, ICONIP.

Approximate observability of infinite dimensional bilinear systems using a Volterra series expansion

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2015, Syst. Control. Lett..

Do Empirical Models of Robot-Environment Interaction Have a Meaning?

Stephen A. Billings, Phillip J. McKerrow, Ulrich Nehmzow, 2010, SAB.

An application of Lyapunov stability analysis to improve the performance of NARMAX models

Stephen A. Billings, Otar Akanyeti, Ulrich Nehmzow, 2010, Robotics Auton. Syst..

Towards modelling complex robot training tasks through system identification

Stephen A. Billings, Otar Akanyeti, Ulrich Nehmzow, 2010, Robotics Auton. Syst..

Robot training using system identification

Stephen A. Billings, Otar Akanyeti, Ulrich Nehmzow, 2008, Robotics Auton. Syst..

Accurate robot simulation through system identification

Stephen A. Billings, Theocharis Kyriacou, Roberto Iglesias, 2008, Robotics Auton. Syst..

Generalized multiscale radial basis function networks

Stephen A. Billings, Hua-Liang Wei, Michael A. Balikhin, 2007, Neural Networks.

Visual task identification and characterization using polynomial models

Stephen A. Billings, Theocharis Kyriacou, Roberto Iglesias, 2007, Robotics Auton. Syst..

Task identification and characterisation in mobile robotics through non-linear modelling

Stephen A. Billings, Theocharis Kyriacou, Roberto Iglesias, 2007, Robotics Auton. Syst..

Forecasting the geomagnetic activity of the Dst index using multiscale radial basis function networks

S. A. Billings, Hua-Liang Wei, Michael A. Balikhin, 2007 .

Recurrent radial basis function networks for adaptive noise cancellation

Stephen A. Billings, Chi F. Fling, S. Billings, 1995, Neural Networks.

Radial basis function network configuration using genetic algorithms

Stephen A. Billings, Guang L. Zheng, G. L. Zheng, 1995, Neural Networks.

Direct Functional Connectivity between the Thalamus (Vim) and the Contralateral Motor Cortex: Just a Single Case Observation or a Common Pathway in the Human Brain?

S. Billings, Yifan Zhao, J. Yianni, 2015, Brain Stimulation.

An iterative orthogonal forward regression algorithm

Stephen A. Billings, Lingzhong Guo, Yuzhu Guo, 2015, Int. J. Syst. Sci..

Nonlinear Model Identification From Multiple Data Sets Using an Orthogonal Forward Search Algorithm

Stephen A. Billings, Hua-Liang Wei, Ping Li, 2013 .

Constructing an overall dynamical model for a system with changing design parameter properties

Stephen A. Billings, Zi Qiang Lang, Hua-Liang Wei, 2008, Int. J. Model. Identif. Control..

Tremor after long term lithium treatment; is it cortical myoclonus?

S. Billings, J. Yianni, D. Blackburn, 2019, Cerebellum & ataxias.

Nonlinear dynamics of foreshock structures : Application of nonlinear autoregressive moving average with exogenous inputs model to Cluster data

M. W. Dunlop, S. A. Billings, Michael A. Balikhin, 2008 .

A three-compartment model of the hemodynamic response and oxygen delivery to brain

Stephen A. Billings, John E. W. Mayhew, Ying Zheng, 2005, NeuroImage.

An Overview of Nonlinear Systems Identification

Stephen A. Billings, S. Billings, 1985 .

Using the NARMAX OLS-ERR algorithm to obtain the most influential coupling functions that affect the evolution of the magnetosphere

S. A. Billings, Michael A. Balikhin, Hua-Liang Wei, 2011 .

Reduced-order modeling of light transport in tissue for real-time monitoring of brain hemodynamics using diffuse optical tomography

Stephen A. Billings, Ying Zheng, Daniel Coca, 2014, Journal of Biomedical Optics.

Analysis of Output Frequencies of Nonlinear Systems

Stephen A. Billings, Xiaofeng Wu, Zi Qiang Lang, 2007, IEEE Transactions on Signal Processing.

Identification of n-State Spatio-Temporal Dynamical Systems Using a Polynomial Model

Stephen A. Billings, Daniel Coca, Yuzhu Guo, 2008, Int. J. Bifurc. Chaos.

Biophysical Modeling of a Drosophila Photoreceptor

Stephen A. Billings, Roger C. Hardie, Daniel Coca, 2009, ICONIP.

Markov Chain Monte Carlo Algorithm based metabolic flux distribution analysis on Corynebacterium glutamicum

Visakan Kadirkamanathan, Stephen A. Billings, Phillip C. Wright, 2006, Bioinform..

An Adaptive Orthogonal Least Squares Algorithm for Model Subset Selection and Nonlinear System Identification

S. A. Billings, H. L. Wei, S. Billings, 2005 .

Review of rational (total) nonlinear dynamic system modelling, identification, and control

Yongji Wang, Stephen A. Billings, Quanmin Zhu, 2015, Int. J. Syst. Sci..

Feature Subset Selection and Ranking for Data Dimensionality Reduction

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Nonlinear system design

S. A. Billings, S. A. Billings, J. O. Gray, 1984 .

A dynamic model of neurovascular coupling: Implications for blood vessel dilation and constriction

Stephen A. Billings, Yi Pan, John E. W. Mayhew, 2010, NeuroImage.

The analysis of electron fluxes at geosynchronous orbit employing a NARMAX approach

S. Billings, R. Boynton, M. Balikhin, 2013 .

Modelling COVID-19 Pandemic Dynamics Using Transparent, Interpretable, Parsimonious and Simulatable (TIPS) Machine Learning Models: A Case Study from Systems Thinking and System Identification Perspectives

S. Billings, H. Wei, 2021, medRxiv.

The Identification of Coupled Map Lattice Models for Autonomous Cellular Neural Network Patterns

Stephen A. Billings, Yifan Zhao, Yifan Pan, 2008, Int. J. Bifurc. Chaos.

The Identification of Complex Spatiotemporal Patterns Using Coupled Map Lattice Models

Stephen A. Billings, Yi Pan, S. Billings, 2008, Int. J. Bifurc. Chaos.

A data-driven framework for identifying nonlinear dynamic models of genetic parts.

Visakan Kadirkamanathan, Stephen A Billings, Sean R Anderson, 2012, ACS synthetic biology.

IDENTIFICATION OF FINITE-DIMENSIONAL MODELS FOR DISTRIBUTED-PARAMETER SYSTEMS

Stephen A. Billings, Daniel Coca, S. Billings, 2002 .

Output frequencies of nonlinear systems

Zi-Qiang Lang, S. A. Billings, S. Billings, 1997 .

Improved parameter estimates for non-linear dynamical models using a bootstrap method

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2009, Int. J. Control.

Frequency domain truncation of Volterra series for weakly non-linear systems subject to harmonic excitation

Stephen A. Billings, Liang-Min Li, S. Billings, 2008, Int. J. Control.

Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling Approach

Stephen A. Billings, Yi Pan, John E. W. Mayhew, 2009, IEEE Transactions on Biomedical Engineering.

An extended orthogonal forward regression algorithm for system identification using entropy

S. A. Billings, L. Z. Guo, D. Q. Zhu, 2008, Int. J. Control.

Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm

Stephen A. Billings, Lingzhong Guo, Yuzhu Guo, 2015, Int. J. Model. Identif. Control..

Identification of Time-Varying Systems Using Multi-Wavelet Basis Functions

Yang Li, Stephen A. Billings, Hua-Liang Wei, 2011, IEEE Transactions on Control Systems Technology.

Identification of geometrical models of interface evolution for dendritic crystal growth

S. Billings, Yifan Zhao, D. Coca, 2011 .

A Comparison of Polynomial and Wavelet Expansions for the Identification of Chaotic Coupled Map Lattices

Stephen A. Billings, Lingzhong Guo, S. Billings, 2005, Int. J. Bifurc. Chaos.

Nonlinear system identification using wavelet networks

Visakan Kadirkamanathan, Stephen A. Billings, Guo-Ping Liu, 1998, Int. J. Syst. Sci..

Computational system identification of continuous-time nonlinear systems using approximate Bayesian computation

Sean R. Anderson, Visakan Kadirkamanathan, Stephen A. Billings, 2016, Int. J. Syst. Sci..

Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach

Stephen A. Billings, Hua-Liang Wei, S. Billings, 2009, Int. J. Control.

Identification of probabilistic cellular automata

S. Billings, Yingxu Yang, 2003, IEEE Trans. Syst. Man Cybern. Part B.

Extracting Boolean rules from CA patterns

S. Billings, Yingxu Yang, 2000, IEEE Trans. Syst. Man Cybern. Part B.

Direct parameter identification of distributed parameter systems

Stephen A. Billings, Daniel Coca, S. Billings, 2000, Int. J. Syst. Sci..

A Volterra series representation for a class of nonlinear infinite dimensional systems with periodic boundary conditions

Stephen A. Billings, Daniel Coca, Lingzhong Guo, 2013, Syst. Control. Lett..

Identification of Polynomial & Rational Narmax Models

S. Billings, Quanmin Zhu, 1994 .

Dynamic Wavelet and Equivalent Models

S. A. Billings, Otilia M. Boaghe, S. Billings, 2000, Eur. J. Control.

Forecasting the geomagnetic activity of the Dst Index using radial basis function networks

S. A. Billings, H. L. Wei, D. Q. Zhu, 2006 .

Identification of a Spatio-Temporal Model of Crystal Growth Based on Boundary Curvature

S. Billings, Yifan Zhao, D. Coca, 2007 .

Identification of Excitable Media Using a Scalar Coupled Map Lattice Model

Stephen A. Billings, Daniel Coca, Yuzhu Guo, 2010, Int. J. Bifurc. Chaos.

Introduction to Nonlinear Systems Analysis and Identification

S. A. Billings, S. Billings, 1985 .

SERC vacation school "signal processing for control" university of Warwick 15–20 September 1985

S. Billings, S. A. Billings, 1986 .

Nonlinear System Identification: NARMAX Methods in the Time, Frequency, and Spatio-Temporal Domains

Stephen A. Billings, S. Billings, 2013 .