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2020 – today
- 2024
- [j68]Zhao-Hua Liu, Chang-Tong Wang, Hua-Liang Wei, Bing Zeng, Ming Li, Xiao-Ping Song:
A wavelet-LSTM model for short-term wind power forecasting using wind farm SCADA data. Expert Syst. Appl. 247: 123237 (2024) - [j67]Shi-Zheng Yuan, Zhao-Hua Liu, Hua-Liang Wei, Lei Chen, Mingyang Lv, Xiao-Hua Li:
A Variational Auto-Encoder-Based Multisource Deep Domain Adaptation Model Using Optimal Transport for Cross-Machine Fault Diagnosis of Rotating Machinery. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [c34]Yuanlin Gu, Hua-Liang Wei:
Uncertainty-Informed Model Selection Method for Nonlinear System Identification and Interpretable Machine Learning. MED 2024: 909-914 - [c33]Hua-Liang Wei:
On Sparse Nonlinear System Identification Using Orthogonal Matching Pursuit, Orthogonal Least Squares and LASSO. MED 2024: 935-940 - 2023
- [j66]Siyu Zhang, Hua-Liang Wei, Jinliang Ding:
An effective zero-shot learning approach for intelligent fault detection using 1D CNN. Appl. Intell. 53(12): 16041-16058 (2023) - [j65]Zhao-Hua Liu, Liang Chen, Hua-Liang Wei, Fa-Ming Wu, Lei Chen, Ya-Nan Chen:
A Tensor-based domain alignment method for intelligent fault diagnosis of rolling bearing in rotating machinery. Reliab. Eng. Syst. Saf. 230: 108968 (2023) - [j64]Bi-Liang Lu, Yingjie Zhang, Zhaohua Liu, Hua-Liang Wei, Qingshuai Sun:
A novel sample selection approach based universal unsupervised domain adaptation for fault diagnosis of rotating machinery. Reliab. Eng. Syst. Saf. 240: 109618 (2023) - [j63]Pingping Tang, Yuning Dong, Shiwen Mao, Hua-Liang Wei, Jiong Jin:
Online Classification of Network Traffic Based on Granular Computing. IEEE Trans. Syst. Man Cybern. Syst. 53(8): 5199-5211 (2023) - 2022
- [j62]Zhong Liao, Zhaohua Liu, Lei Chen, Mingyang Lyu, Zhengheng Wang, Dian Wang, Fa-Ming Wu, Hua-Liang Wei:
An Integrated Observer Framework Based Mechanical Parameters Identification for Adaptive Control of Permanent Magnet Synchronous Motor. Complex Syst. Model. Simul. 2(4): 354-367 (2022) - [j61]Yutong Zhang, Yan Ding, Jianmei Song, Jiaxin Li, Hua-Liang Wei:
A fast manhattan frame estimation method based on normal vectors. J. Field Robotics 39(5): 557-579 (2022) - [j60]Jiaxin Li, Yan Ding, Hua-Liang Wei, Yutong Zhang, Wenxiang Lin:
SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking. Sensors 22(15): 5863 (2022) - [j59]Zhao-Hua Liu, Liang Chen, Hua-Liang Wei, Ying Zhang, Lei Chen, Mingyang Lv:
A Coarse-to-Fine Bilevel Adversarial Domain Adaptation Method for Fault Diagnosis of Rolling Bearings. IEEE Trans. Instrum. Meas. 71: 1-14 (2022) - [j58]Zheng Wu, Yu-ning Dong, Jiong Jin, Hua-Liang Wei, Gaogang Xie:
Multimedia Traffic Classification for Imbalanced Environment. IEEE Trans. Netw. Sci. Eng. 9(3): 1838-1852 (2022) - [c32]Nerfita Nikentari, Hua-Liang Wei:
Tide Level Prediction Using NARX-based Recurrent Neural Networks. ICAC 2022: 1-6 - [c31]Nerfita Nikentari, Hua-Liang Wei:
Multi-Task Learning for Time Series Forecasting Using NARMAX-LSTM. ICAC 2022: 1-6 - [c30]Yiming Sun, Hua-Liang Wei:
Efficient Mask Attention-Based NARMAX (MAB-NARMAX) Model Identification. ICAC 2022: 1-6 - [c29]Bo Sun, Hua-Liang Wei:
Machine Learning for Medical and Healthcare Data Analysis and Modelling: Case Studies and Performance Comparisons of Different Methods. ICAC 2022: 1-6 - [c28]Guoliang Wang, Hua-Liang Wei:
A Hybrid 1DCNN-SVM Model for Bearing Fault Recognition and Classification. ICAC 2022: 1-6 - [c27]Siyu Zhang, Hua-Liang Wei:
Zero-Shot Learning for Intelligent Fault Detection. ICAC 2022: 1-7 - [i6]Jiaxin Li, Yan Ding, Hua-Liang Wei:
SimpleTrack: Rethinking and Improving the JDE Approach for Multi-Object Tracking. CoRR abs/2203.03985 (2022) - 2021
- [j57]Chang-Tong Wang, Zhaohua Liu, Hua-Liang Wei, Lei Chen, Hongqiang Zhang:
Hybrid Deep Learning Model for Short-Term Wind Speed Forecasting Based on Time Series Decomposition and Gated Recurrent Unit. Complex Syst. Model. Simul. 1(4): 308-321 (2021) - [j56]Zhao-Hua Liu, Xudong Meng, Hua-Liang Wei, Liang Chen, Bi-Liang Lu, Zhenheng Wang, Lei Chen:
A Regularized LSTM Method for Predicting Remaining Useful Life of Rolling Bearings. Int. J. Autom. Comput. 18(4): 581-593 (2021) - [j55]Lianghong Wu, Zhenzu Liu, Hua-Liang Wei, Rui Wang:
An efficient bilevel differential evolution algorithm with adaptation of lower level population size and search radius. Memetic Comput. 13(2): 227-247 (2021) - [j54]Qing-Hua Wang, Hua-Liang Wei, Lina Wang, Song Xu:
A novel time-varying modeling and signal processing approach for epileptic seizure detection and classification. Neural Comput. Appl. 33(11): 5525-5541 (2021) - [j53]Yutong Zhang, Jianmei Song, Yan Ding, Yating Yuan, Hua-Liang Wei:
FSD-BRIEF: A Distorted BRIEF Descriptor for Fisheye Image Based on Spherical Perspective Model. Sensors 21(5): 1839 (2021) - [j52]Bi-Liang Lu, Zhao-Hua Liu, Hua-Liang Wei, Lei Chen, Hongqiang Zhang, Xiao-Hua Li:
A Deep Adversarial Learning Prognostics Model for Remaining Useful Life Prediction of Rolling Bearing. IEEE Trans. Artif. Intell. 2(4): 329-340 (2021) - [j51]Yuanlin Gu, Yuan Yang, Julius P. A. Dewald, Frans C. T. van der Helm, Alfred C. Schouten, Hua-Liang Wei:
Nonlinear Modeling of Cortical Responses to Mechanical Wrist Perturbations Using the NARMAX Method. IEEE Trans. Biomed. Eng. 68(3): 948-958 (2021) - [j50]Zhao-Hua Liu, Bi-Liang Lu, Hua-Liang Wei, Lei Chen, Xiao-Hua Li, Chang-Tong Wang:
A Stacked Auto-Encoder Based Partial Adversarial Domain Adaptation Model for Intelligent Fault Diagnosis of Rotating Machines. IEEE Trans. Ind. Informatics 17(10): 6798-6809 (2021) - [j49]Zhaohua Liu, Lin-Bo Jiang, Hua-Liang Wei, Lei Chen, Xiao-Hua Li:
Optimal Transport-Based Deep Domain Adaptation Approach for Fault Diagnosis of Rotating Machine. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j48]Zhao-Hua Liu, Bi-Liang Lu, Hua-Liang Wei, Lei Chen, Xiao-Hua Li, Matthias Rätsch:
Deep Adversarial Domain Adaptation Model for Bearing Fault Diagnosis. IEEE Trans. Syst. Man Cybern. Syst. 51(7): 4217-4226 (2021) - [i5]Yiming Xu, Jiaxin Li, Yiheng Peng, Yan Ding, Hua-Liang Wei:
A Global to Local Double Embedding Method for Multi-person Pose Estimation. CoRR abs/2102.07318 (2021) - [i4]Hua-Liang Wei:
Characterising Linear Spatio-Temporal Dynamical Systems in the Frequency Domain. CoRR abs/2110.15830 (2021) - [i3]Hua-Liang Wei, S. A. Billings:
Quasi-Linear Transfer Function: A New Method for Frequency Domain Analysis of Nonlinear Systems. CoRR abs/2111.00748 (2021) - [i2]Hua-Liang Wei, S. A. Billings:
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. CoRR abs/2111.01763 (2021) - 2020
- [j47]Zheng Wu, Yu-ning Dong, Hua-Liang Wei, Wei Tian:
Consistency measure based simultaneous feature selection and instance purification for multimedia traffic classification. Comput. Networks 173: 107190 (2020) - [j46]Carlos Beltran Perez, Hua-Liang Wei, Adrian Rubio-Solis:
Generalized Multiscale RBF Networks and the DCT for Breast Cancer Detection. Int. J. Autom. Comput. 17(1): 55-70 (2020) - [j45]Wenxiang Lin, Yan Ding, Hua-Liang Wei, Xinglin Pan, Yutong Zhang:
LdsConv: Learned Depthwise Separable Convolutions by Group Pruning. Sensors 20(15): 4349 (2020) - [j44]Yang Li, Jing-Bo Zhang, Wei-Gang Cui, Heng Yuan, Hua-Liang Wei:
A Multiple Beta Wavelet-Based Locally Regularized Ultraorthogonal Forward Regression Algorithm for Time-Varying System Identification With Applications to EEG. IEEE Trans. Instrum. Meas. 69(3): 916-928 (2020) - [c26]Yiming Xu, Jiaxin Li, Yan Ding, Hua-Liang Wei:
A Global to Local Double Embedding Method for Multi-person Pose Estimation. ACCV (5) 2020: 88-103
2010 – 2019
- 2019
- [j43]José Roberto Ayala Solares, Hua-Liang Wei, Stephen A. Billings:
A novel logistic-NARX model as a classifier for dynamic binary classification. Neural Comput. Appl. 31(1): 11-25 (2019) - [j42]Ming Du, Yan Ding, Xiuyun Meng, Hua-Liang Wei, Yifan Zhao:
Distractor-Aware Deep Regression for Visual Tracking. Sensors 19(2): 387 (2019) - [j41]Yang Li, Meng-Ying Lei, Wei-Gang Cui, Yuzhu Guo, Hua-Liang Wei:
A Parametric Time-Frequency Conditional Granger Causality Method Using Ultra-Regularized Orthogonal Least Squares and Multiwavelets for Dynamic Connectivity Analysis in EEGs. IEEE Trans. Biomed. Eng. 66(12): 3509-3525 (2019) - [c25]Stephen A. Billings, Hua-Liang Wei:
NARMAX Model as a Sparse, Interpretable and Transparent Machine Learning Approach for Big Medical and Healthcare Data Analysis. HPCC/SmartCity/DSS 2019: 2743-2750 - [c24]Yuanlin Gu, Hua-Liang Wei, Michael A. Balikhin, Richard J. Boynton, Simon N. Walker:
Machine Learning Enhanced NARMAX Model for Dst Index Forecasting. ICAC 2019: 1-6 - [c23]Hua-Liang Wei:
Boosting Wavelet Neural Networks Using Evolutionary Algorithms for Short-Term Wind Speed Time Series Forecasting. IWANN (1) 2019: 15-26 - [c22]Hua-Liang Wei:
Sparse, Interpretable and Transparent Predictive Model Identification for Healthcare Data Analysis. IWANN (1) 2019: 103-114 - 2018
- [j40]Yang Li, Meng-Ying Lei, Yuzhu Guo, Zhongyi Hu, Hua-Liang Wei:
Time-Varying Nonlinear Causality Detection Using Regularized Orthogonal Least Squares and Multi-Wavelets With Applications to EEG. IEEE Access 6: 17826-17840 (2018) - [j39]Faraj A. A. Bashir, Hua-Liang Wei:
Handling missing data in multivariate time series using a vector autoregressive model-imputation (VAR-IM) algorithm. Neurocomputing 276: 23-30 (2018) - [j38]Yuanlin Gu, Hua-Liang Wei:
A robust model structure selection method for small sample size and multiple datasets problems. Inf. Sci. 451-452: 195-209 (2018) - [j37]Yang Li, Wei-Gang Cui, Yuzhu Guo, Tingwen Huang, Xiao-Feng Yang, Hua-Liang Wei:
Time-Varying System Identification Using an Ultra-Orthogonal Forward Regression and Multiwavelet Basis Functions With Applications to EEG. IEEE Trans. Neural Networks Learn. Syst. 29(7): 2960-2972 (2018) - [c21]Carlos Beltran Perez, Hua-Liang Wei:
Image Classification Using Generalized Multiscale RBF Networks and Discrete Cosine Transform. ICAC 2018: 1-6 - [i1]Yang Li, Meng-Ying Lei, Xianrui Zhang, Wei-Gang Cui, Yuzhu Guo, Tingwen Huang, Hua-Liang Wei:
Boosted Convolutional Neural Networks for Motor Imagery EEG Decoding with Multiwavelet-based Time-Frequency Conditional Granger Causality Analysis. CoRR abs/1810.10353 (2018) - 2017
- [j36]Cili Zuo, Lianghong Wu, Zhao-Fu Zeng, Hua-Liang Wei:
Stochastic Fractal Based Multiobjective Fruit Fly Optimization. Int. J. Appl. Math. Comput. Sci. 27(2): 417 (2017) - [j35]Azlyna Senawi, Hua-Liang Wei, Stephen A. Billings:
A new maximum relevance-minimum multicollinearity (MRmMC) method for feature selection and ranking. Pattern Recognit. 67: 47-61 (2017) - [c20]Yuanlin Gu, Hua-Liang Wei, Richard J. Boynton, Simon N. Walker, Michael A. Balikhin:
Prediction of Kp index using NARMAX models with a robust model structure selection method. ECAI 2017: 1-6 - [c19]Xinxin Yao, Hua-Liang Wei:
Improving K-means clustering performance using a new global time-series averaging method. ECAI 2017: 1-6 - [c18]H. R. Sachin Prabhu, Hua-Liang Wei:
Incremental modelling of transcriptional regulatory networks. GlobalSIP 2017: 740-744 - [c17]H. R. Sachin Prabhu, Hua-Liang Wei:
Preprocessing Graphs for Network Inference Applications. ICINCO (1) 2017: 406-413 - [c16]H. R. Sachin Prabhu, Hua-Liang Wei:
BNCA: Full-rank Factorisable Subgraphs Based Unique Structure-Constrained Matrix Factorisation. ICINCO (Selected Papers) 2017: 625-640 - [c15]Yuanlin Gu, Hua-Liang Wei, Michael A. Balikhin:
Nonlinear dynamic predictive model selection and interference using information criteria. ICAC 2017: 1-6 - [c14]Carlos Beltran Perez, Hua-Liang Wei:
Digital image classification and detection using a 2D-NARX model. ICAC 2017: 1-6 - [c13]Xinxin Yao, Hua-Liang Wei:
Short-term stock price forecasting based on similar historical patterns extraction. ICAC 2017: 1-6 - 2016
- [j34]Yuzhu Guo, Lingzhong Guo, S. A. Billings, Hua-Liang Wei:
Ultra-Orthogonal Forward Regression Algorithms for the Identification of Non-Linear Dynamic Systems. Neurocomputing 173: 715-723 (2016) - [j33]Yang Li, Hua-Liang Wei, Stephen A. Billings, Ptolemaios G. Sarrigiannis:
Identification of nonlinear time-varying systems using an online sliding-window and common model structure selection (CMSS) approach with applications to EEG. Int. J. Syst. Sci. 47(11): 2671-2681 (2016) - [j32]Yuzhu Guo, Lingzhong Guo, Stephen A. Billings, Hua-Liang Wei:
Identification of continuous-time models for nonlinear dynamic systems from discrete data. Int. J. Syst. Sci. 47(12): 3044-3054 (2016) - [j31]Richard Jiang, Ahmed Bouridane, Danny Crookes, M. Emre Celebi, Hua-Liang Wei:
Privacy-Protected Facial Biometric Verification Using Fuzzy Forest Learning. IEEE Trans. Fuzzy Syst. 24(4): 779-790 (2016) - [c12]Faraj A. A. Bashir, Hua-Liang Wei:
Handling Missing Data in Multivariate Time Series Using a Vector Autoregressive Model Based Imputation (VAR-IM) Algorithm. Part II: VAR-IM Algorithm Versus Modern Methods. CSE/EUC/DCABES 2016: 459-463 - [c11]Yuanlin Gu, Hua-Liang Wei:
Analysis of the relationship between lifestyle and life satisfaction using transparent and nonlinear parametric models. ICAC 2016: 54-59 - [c10]Xinxin Yao, Hua-Liang Wei:
Off-line signature verification based on a new symbolic representation and dynamic time warping. ICAC 2016: 108-113 - [c9]Xinxin Yao, Hua-Liang Wei:
Walking gestures recognition based on a novel symbolic representation. ICAC 2016: 114-119 - [c8]Faraj A. A. Bashir, Hua-Liang Wei:
Handling missing data in multivariate time series using a vector autoregressive model based imputation (VAR-IM) algorithm: Part I: VAR-IM algorithm versus traditional methods. MED 2016: 611-616 - 2015
- [j30]Yuzhu Guo, Lingzhong Guo, Stephen A. Billings, Hua-Liang Wei:
Identification of nonlinear systems with non-persistent excitation using an iterative forward orthogonal least squares regression algorithm. Int. J. Model. Identif. Control. 23(1): 1-7 (2015) - [j29]Yuzhu Guo, Lingzhong Guo, Stephen A. Billings, Hua-Liang Wei:
An iterative orthogonal forward regression algorithm. Int. J. Syst. Sci. 46(5): 776-789 (2015) - [j28]Fei He, Hua-Liang Wei, Stephen A. Billings:
Identification and frequency domain analysis of non-stationary and nonlinear systems using time-varying NARMAX models. Int. J. Syst. Sci. 46(11): 2087-2100 (2015) - [c7]Faraj A. A. Bashir, Hua-Liang Wei:
Using Nonlinear Models to Enhance Prediction Performance with Incomplete Data. ICPRAM (1) 2015: 141-148 - [c6]Faraj A. A. Bashir, Hua-Liang Wei, Abdollha M. Benomair:
Model selection to enhance prediction performance in the presence of missing data. MMAR 2015: 846-850 - 2014
- [j27]Fei He, Hua-Liang Wei, Stephen A. Billings, Ptolemaios G. Sarrigiannis:
A Nonlinear Generalization of Spectral Granger Causality. IEEE Trans. Biomed. Eng. 61(6): 1693-1701 (2014) - 2013
- [j26]Shu Wang, Hua-Liang Wei, Daniel Coca, Stephen A. Billings:
Model term selection for spatio-temporal system identification using mutual information. Int. J. Syst. Sci. 44(2): 223-231 (2013) - [j25]Fei He, Stephen A. Billings, Hua-Liang Wei, Ptolemaios G. Sarrigiannis, Yifan Zhao:
Spectral Analysis for Nonstationary and Nonlinear Systems: A Discrete-Time-Model-Based Approach. IEEE Trans. Biomed. Eng. 60(8): 2233-2241 (2013) - [j24]Yifan Zhao, Stephen A. Billings, Hua-Liang Wei, Ptolemaios G. Sarrigiannis:
A Parametric Method to Measure Time-Varying Linear and Nonlinear Causality With Applications to EEG Data. IEEE Trans. Biomed. Eng. 60(11): 3141-3148 (2013) - 2012
- [j23]Yifan Zhao, Hua-Liang Wei, S. A. Billings:
A New Adaptive Fast Cellular Automaton Neighborhood Detection and Rule Identification Algorithm. IEEE Trans. Syst. Man Cybern. Part B 42(4): 1283-1287 (2012) - [c5]Jing Yang, Hua-Liang Wei, Visakan Kadirkamanathan, Xiaofang Lin:
System identification from small data sets using an output jittering method with application to model estimation of bioethanol production. ICMLC 2012: 949-955 - [c4]Jing Yang, Xiaofang Ling, Lishan Yao, Hua-Liang Wei, Visakan Kadirkamanathan:
System identification of the fermentation system of Thermoanaerobacter sp. X514. ISB 2012: 158-163 - 2011
- [j22]Shigang Yue, Hua-Liang Wei, Maozhen Li, Qilian Liang, Lipo Wang:
ICNC-FSKD 2010 Special Issue on Computers & Mathematics in Natural Computation and Knowledge Discovery. Comput. Math. Appl. 62(7): 2683-2684 (2011) - [j21]Yang Li, Hua-Liang Wei, Stephen A. Billings:
Identification of Time-Varying Systems Using Multi-Wavelet Basis Functions. IEEE Trans. Control. Syst. Technol. 19(3): 656-663 (2011) - 2010
- [j20]Hua-Liang Wei, Stephen A. Billings, Julian J. Liu:
Time-varying parametric modelling and time-dependent spectral characterisation with applications to EEG signals using multiwavelets. Int. J. Model. Identif. Control. 9(3): 215-224 (2010) - [j19]Hua-Liang Wei, Stephen A. Billings, Yifan Zhao, Lingzhong Guo:
An adaptive wavelet neural network for spatio-temporal system identification. Neural Networks 23(10): 1286-1299 (2010) - [c3]Shigang Yue, Hua-Liang Wei, Lipo Wang, Yibin Song:
Preface. ICNC 2010 - [c2]Shigang Yue, Hua-Liang Wei, Lipo Wang, Yibin Song:
Preface. ICNC 2010 - [c1]Shigang Yue, Hua-Liang Wei, Lipo Wang, Yibin Song:
Preface. ICNC 2010
2000 – 2009
- 2009
- [j18]Hua-Liang Wei, Stephen A. Billings:
Improved model identification for non-linear systems using a random subsampling and multifold modelling (RSMM) approach. Int. J. Control 82(1): 27-42 (2009) - [j17]Hua-Liang Wei, Stephen A. Billings:
Improved parameter estimates for non-linear dynamical models using a bootstrap method. Int. J. Control 82(11): 1991-2001 (2009) - [j16]Hua-Liang Wei, Ying Zheng, Yi Pan, Daniel Coca, Liang-Min Li, John E. W. Mayhew, Stephen A. Billings:
Model Estimation of Cerebral Hemodynamics Between Blood Flow and Volume Changes: A Data-Based Modeling Approach. IEEE Trans. Biomed. Eng. 56(6): 1606-1616 (2009) - [j15]Hua-Liang Wei, S. A. Billings, Yifan Zhao, Lingzhong Guo:
Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio-Temporal System Identification. IEEE Trans. Neural Networks 20(1): 181-185 (2009) - 2008
- [j14]Hua-Liang Wei, Stephen A. Billings:
Generalized Cellular Neural Networks (Gcnns) Constructed Using Particle Swarm Optimization for Spatio-Temporal Evolutionary Pattern Identification. Int. J. Bifurc. Chaos 18(12): 3611-3624 (2008) - [j13]Stephen A. Billings, Hua-Liang Wei:
An adaptive orthogonal search algorithm for model subset selection and non-linear system identification. Int. J. Control 81(5): 714-724 (2008) - [j12]Hua-Liang Wei, Stephen A. Billings:
Model structure selection using an integrated forward orthogonal search algorithm assisted by squared correlation and mutual information. Int. J. Model. Identif. Control. 3(4): 341-356 (2008) - [j11]Hua-Liang Wei, Zi Qiang Lang, Stephen A. Billings:
Constructing an overall dynamical model for a system with changing design parameter properties. Int. J. Model. Identif. Control. 5(2): 93-104 (2008) - 2007
- [j10]Hua-Liang Wei, Stephen A. Billings:
A comparative study on global wavelet and polynomial models for non-linear regime-switching systems. Int. J. Model. Identif. Control. 2(4): 273-282 (2007) - [j9]Stephen A. Billings, Hua-Liang Wei, Michael A. Balikhin:
Generalized multiscale radial basis function networks. Neural Networks 20(10): 1081-1094 (2007) - [j8]Hua-Liang Wei, Stephen A. Billings:
Feature Subset Selection and Ranking for Data Dimensionality Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 29(1): 162-166 (2007) - [j7]Hua-Liang Wei, Zi Qiang Lang, Stephen A. Billings:
An Algorithm for Determining the Output Frequency Range of Volterra Models With Multiple Inputs. IEEE Trans. Circuits Syst. II Express Briefs 54-II(6): 532-536 (2007) - [j6]Stephen A. Billings, Hua-Liang Wei:
Sparse Model Identification Using a Forward Orthogonal Regression Algorithm Aided by Mutual Information. IEEE Trans. Neural Networks 18(1): 306-310 (2007) - 2006
- [j5]Stephen A. Billings, Lingzhong Guo, Hua-Liang Wei:
Identification of coupled map lattice models for spatio-temporal patterns using wavelets. Int. J. Syst. Sci. 37(14): 1021-1038 (2006) - [j4]Hua-Liang Wei, Stephen A. Billings, Michael A. Balikhin:
Wavelet based non-parametric NARX models for nonlinear input-output system identification. Int. J. Syst. Sci. 37(15): 1089-1096 (2006) - 2005
- [j3]Stephen A. Billings, Hua-Liang Wei:
The Wavelet-narmax Representation: a Hybrid Model Structure Combining Polynomial Models with Multiresolution Wavelet Decompositions. Int. J. Syst. Sci. 36(3): 137-152 (2005) - [j2]Stephen A. Billings, Hua-Liang Wei:
A new class of wavelet networks for nonlinear system identification. IEEE Trans. Neural Networks 16(4): 862-874 (2005) - 2004
- [j1]Hua-Liang Wei, Stephen A. Billings:
Identification and reconstruction of chaotic systems using multiresolution wavelet decompositions. Int. J. Syst. Sci. 35(9): 511-526 (2004)
Coauthor Index
aka: S. A. Billings
aka: Zhaohua Liu
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