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System Identification-informed Transparent and Explainable Machine Learning with Application to Power Consumption Forecasting

2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), 2023, p.1-6

Wei, Hua-Liang

2023

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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

2016 24th Mediterranean Conference on Control and Automation (MED), 2016, p.611-616

2016

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Design and Implementation of a Fencing Training Robot

2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006, p.3624-3627

2006

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Parametric and non-parametric methods to enhance prediction performance in the presence of missing data

2015 19th International Conference on System Theory, Control and Computing (ICSTCC), 2015, p.337-342

2015

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Assessing Uncertainty in Space Weather Forecasting Using Quantile Regression and Complex Nonlinear Systems Identification Techniques

2023 International Conference on Computing, Electronics & Communications Engineering (iCCECE), 2023, p.79-84

2023

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Model selection to enhance prediction performance in the presence of missing data

2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR), 2015, p.846-850

2015

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Machine Learning Enhanced NARMAX Model for Dst Index Forecasting

2019 25th International Conference on Automation and Computing (ICAC), 2019, p.1-6

2019

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

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), 2019, p.2743-2750

2019

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Image Classification Using Generalized Multiscale RBF Networks and Discrete Cosine Transform

2018 24th International Conference on Automation and Computing (ICAC), 2018, p.1-6

2018

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A Sparse Autoencoder Based Adversarial Open Set Domain Adaptation Model for Fault Diagnosis of Rotating Machinery

2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD), 2022, p.1-6

2022

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Improving K-means clustering performance using a new global time-series averaging method

2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2017, p.1-6

2017

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BNCA: Full-rank Factorisable Subgraphs Based Unique Structure-Constrained Matrix Factorisation

Informatics in Control, Automation and Robotics, p.625-640

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Short-term stock price forecasting based on similar historical patterns extraction

2017 23rd International Conference on Automation and Computing (ICAC), 2017, p.1-6

2017

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Digital image classification and detection using a 2D-NARX model

2017 23rd International Conference on Automation and Computing (ICAC), 2017, p.1-6

2017

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Off-line signature verification based on a new symbolic representation and dynamic time warping

2016 22nd International Conference on Automation and Computing (ICAC), 2016, p.108-113

2016

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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

2016 IEEE Intl Conference on Computational Science and Engineering (CSE) and IEEE Intl Conference on Embedded and Ubiquitous Computing (EUC) and 15th Intl Symposium on Distributed Computing and Applications for Business Engineering (DCABES), 2016, p.459-463

2016

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Analysis of the relationship between lifestyle and life satisfaction using transparent and nonlinear parametric models

2016 22nd International Conference on Automation and Computing (ICAC), 2016, p.54-59

2016

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Multi-objective Fruit Fly Optimization Based on Cloud Model

2018 13th World Congress on Intelligent Control and Automation (WCICA), 2018, p.335-340

2018

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Walking gestures recognition based on a novel symbolic representation

2016 22nd International Conference on Automation and Computing (ICAC), 2016, p.114-119

2016

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Nonlinear dynamic predictive model selection and interference using information criteria

2017 23rd International Conference on Automation and Computing (ICAC), 2017, p.1-6

2017

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A wavelet neural network model for spatio-temporal image processing and modeling

2015 10th International Conference on Computer Science & Education (ICCSE), 2015, p.119-124

2015

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Incremental modelling of transcriptional regulatory networks

2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017, p.740-744

2017

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Prediction of Kp index using NARMAX models with a robust model structure selection method

2017 9th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2017, p.1-6

2017

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A Shooting Training and Instructing System Based on Image Analysis

2006 IEEE International Conference on Information Acquisition, 2006, p.961-966

2006

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On Sparse Nonlinear System Identification Using Orthogonal Matching Pursuit, Orthogonal Least Squares and LASSO

2024 32nd Mediterranean Conference on Control and Automation (MED), 2024, p.935-940

Wei, Hua-Liang

2024

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System Identification-informed Transparent and Explainable Machine Learning with Application to Power Consumption Forecasting

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

Design and Implementation of a Fencing Training Robot

Parametric and non-parametric methods to enhance prediction performance in the presence of missing data

Assessing Uncertainty in Space Weather Forecasting Using Quantile Regression and Complex Nonlinear Systems Identification Techniques

Model selection to enhance prediction performance in the presence of missing data

Machine Learning Enhanced NARMAX Model for Dst Index Forecasting

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

Image Classification Using Generalized Multiscale RBF Networks and Discrete Cosine Transform

A Sparse Autoencoder Based Adversarial Open Set Domain Adaptation Model for Fault Diagnosis of Rotating Machinery

Improving K-means clustering performance using a new global time-series averaging method

BNCA: Full-rank Factorisable Subgraphs Based Unique Structure-Constrained Matrix Factorisation

Short-term stock price forecasting based on similar historical patterns extraction

Digital image classification and detection using a 2D-NARX model

Off-line signature verification based on a new symbolic representation and dynamic time warping

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

Analysis of the relationship between lifestyle and life satisfaction using transparent and nonlinear parametric models

Multi-objective Fruit Fly Optimization Based on Cloud Model

Walking gestures recognition based on a novel symbolic representation

Nonlinear dynamic predictive model selection and interference using information criteria

A wavelet neural network model for spatio-temporal image processing and modeling

Incremental modelling of transcriptional regulatory networks

Prediction of Kp index using NARMAX models with a robust model structure selection method

A Shooting Training and Instructing System Based on Image Analysis

On Sparse Nonlinear System Identification Using Orthogonal Matching Pursuit, Orthogonal Least Squares and LASSO

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