Tommy W. S. Chow
Orcid: 0000-0001-7051-0434Affiliations:
- City University of Hong Kong
According to our database1,
Tommy W. S. Chow
authored at least 237 papers
between 1994 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Dynamic Balanced Dual Prototypical Domain Generalization for Cross-Machine Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2024
2023
IEEE Trans. Syst. Man Cybern. Syst., December, 2023
Modeling Self-Representation Label Correlations for Textual Aspects and Emojis Recommendation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023
Expert Syst. Appl., December, 2023
IEEE Trans. Knowl. Data Eng., November, 2023
A locally weighted multi-domain collaborative adaptation for failure prediction in SSDs.
Knowl. Based Syst., November, 2023
Knowl. Based Syst., October, 2023
IEEE Trans. Cybern., April, 2023
Eng. Appl. Artif. Intell., March, 2023
A Convolutional Neural Network-Based Maximum Power Point Voltage Forecasting Method for Pavement PV Array.
IEEE Trans. Instrum. Meas., 2023
Neural Networks, 2023
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
A Balanced Adversarial Domain Adaptation Method for Partial Transfer Intelligent Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
Multiscale Residual Attention Convolutional Neural Network for Bearing Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2022
IEEE Trans. Ind. Informatics, 2022
Kernel-Based Statistical Process Monitoring and Fault Detection in the Presence of Missing Data.
IEEE Trans. Ind. Informatics, 2022
Semantic-Gap-Oriented Feature Selection and Classifier Construction in Multilabel Learning.
IEEE Trans. Cybern., 2022
Multilabel Classification With Group-Based Mapping: A Framework With Local Feature Selection and Local Label Correlation.
IEEE Trans. Cybern., 2022
IEEE Trans. Cybern., 2022
2021
Duration Modeling with Semi-Markov Conditional Random Fields for Keyphrase Extraction.
IEEE Trans. Knowl. Data Eng., 2021
Adaptive Particle Filter-Based Approach for RUL Prediction Under Uncertain Varying Stresses With Application to HDD.
IEEE Trans. Ind. Informatics, 2021
Failure Prediction of Hard Disk Drives Based on Adaptive Rao-Blackwellized Particle Filter Error Tracking Method.
IEEE Trans. Ind. Informatics, 2021
Multilabel Classification With Label-Specific Features and Classifiers: A Coarse- and Fine-Tuned Framework.
IEEE Trans. Cybern., 2021
Neural Comput. Appl., 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Scalable Spectral Clustering for Overlapping Community Detection in Large-Scale Networks.
IEEE Trans. Knowl. Data Eng., 2020
IEEE Trans. Image Process., 2020
IEEE Trans. Ind. Informatics, 2020
Bridging User Interest to Item Content for Recommender Systems: An Optimization Model.
IEEE Trans. Cybern., 2020
Matrix Completion via Sparse Factorization Solved by Accelerated Proximal Alternating Linearized Minimization.
IEEE Trans. Big Data, 2020
Three-dimensional ultrasound evaluation of the effects of pomegranate therapy on carotid plaque texture using locality preserving projection.
Comput. Methods Programs Biomed., 2020
2019
IEEE Trans. Neural Networks Learn. Syst., 2019
An Enhanced Trace Ratio Linear Discriminant Analysis for Fault Diagnosis: An Illustrated Example Using HDD Data.
IEEE Trans. Instrum. Meas., 2019
Fault Detection for Rolling-Element Bearings Using Multivariate Statistical Process Control Methods.
IEEE Trans. Instrum. Meas., 2019
Label-specific feature selection and two-level label recovery for multi-label classification with missing labels.
Neural Networks, 2019
Fault diagnosis on wireless sensor network using the neighborhood kernel density estimation.
Neural Comput. Appl., 2019
Learning with fuzzy hypergraphs: A topical approach to query-oriented text summarization.
Inf. Sci., 2019
Inf. Process. Manag., 2019
Graph model-based salient object detection using objectness and multiple saliency cues.
Neurocomputing, 2019
Spectral clustering algorithms for the detection of clusters in block-cyclic and block-acyclic graphs.
J. Complex Networks, 2019
Adaptive Remaining Useful Lifetime Prediction of Magnetic Head under Varying Stress Conditions.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Neural Process. Lett., 2018
Accelerated low-rank representation for subspace clustering and semi-supervised classification on large-scale data.
Neural Networks, 2018
Robust non-negative sparse graph for semi-supervised multi-label learning with missing labels.
Inf. Sci., 2018
2017
Route Selection for Cabling Considering Cost Minimization and Earthquake Survivability Via a Semi-Supervised Probabilistic Model.
IEEE Trans. Ind. Informatics, 2017
IEEE Trans. Ind. Informatics, 2017
Pattern Recognit., 2017
Sparse subspace clustering for data with missing entries and high-rank matrix completion.
Neural Networks, 2017
Prostate lesion detection and localization based on locality alignment discriminant analysis.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
Li-ion battery parameter identification with low pass filter for measurement noise rejection.
Proceedings of the 26th IEEE International Symposium on Industrial Electronics, 2017
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
Incorporating word embeddings in the hierarchical dirichlet process for query-oriented text summarization.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
Rolling fault diagnosis via robust semi-supervised model with capped l2, 1-norm regularization.
Proceedings of the IEEE International Conference on Industrial Technology, 2017
2016
Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation.
IEEE Trans. Signal Process., 2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Wireless Sensor-Networks Conditions Monitoring and Fault Diagnosis Using Neighborhood Hidden Conditional Random Field.
IEEE Trans. Ind. Informatics, 2016
Neural Process. Lett., 2016
Neurocomputing, 2016
Vehicle route planning for logistics network optimization via multiple spanning tree.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016
2015
Kuiper test and autoregressive model-based approach for wireless sensor network fault diagnosis.
Wirel. Networks, 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
IEEE Trans. Neural Networks Learn. Syst., 2015
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood.
IEEE Trans. Knowl. Data Eng., 2015
Knowl. Based Syst., 2015
Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction.
Inf. Sci., 2015
Heterogeneous feature subset selection using mutual information-based feature transformation.
Neurocomputing, 2015
Clustering Heterogeneous Data with <i>k</i>-Means by Mutual Information-Based Unsupervised Feature Transformation.
Entropy, 2015
Wireless sensor network faulty scenes diagnosis using high dimensional Neighborhood Hidden Conditional Random Field.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
Wireless sensor network fault detection via semi-supervised local kernel density estimation.
Proceedings of the IEEE International Conference on Industrial Technology, 2015
2014
IEEE Trans. Ind. Informatics, 2014
IEEE Trans. Ind. Electron., 2014
A High-Throughput Zebrafish ScreeningMethod for Visual Mutants by Light-Induced Locomotor Response.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014
Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer's Disease.
IEEE Signal Process. Lett., 2014
A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction.
Neural Networks, 2014
Neurocomputing, 2014
Neurocomputing, 2014
Expert Syst. Appl., 2014
Weighted local and global regressive mapping: A new manifold learning method for machine fault classification.
Eng. Appl. Artif. Intell., 2014
Comput. Vis. Image Underst., 2014
Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification.
IEEE Trans. Knowl. Data Eng., 2013
Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization.
IEEE Trans. Knowl. Data Eng., 2013
M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction.
IEEE Trans. Cybern., 2013
Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia.
IEEE Signal Process. Lett., 2013
Adaptive iterative learning control of non-linear MIMO continuous systems with iteration-varying initial error and reference trajectory.
Int. J. Syst. Sci., 2013
Recognition of word collocation habits using frequency rank ratio and inter-term intimacy.
Expert Syst. Appl., 2013
Anomaly detection of cooling fan and fault classification of induction motor using Mahalanobis-Taguchi system.
Expert Syst. Appl., 2013
2012
IEEE Trans. Reliab., 2012
Soft Comput., 2012
Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction.
Pattern Recognit., 2012
Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction.
Pattern Recognit., 2012
A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition.
Pattern Recognit., 2012
Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition.
Neural Networks, 2012
Expert Syst. Appl., 2012
Maximum Margin Multisurface Support Tensor Machines with application to image classification and segmentation.
Expert Syst. Appl., 2012
On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
2011
IEEE Trans. Neural Networks, 2011
Neural Comput. Appl., 2011
PPoSOM: A new variant of PolSOM by using probabilistic assignment for multidimensional data visualization.
Neurocomputing, 2011
ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
2010
IEEE Trans. Neural Networks, 2010
IEEE Trans. Instrum. Meas., 2010
Pattern Recognit., 2010
A novel dual wing harmonium model aided by 2-D wavelet transform subbands for document data mining.
Expert Syst. Appl., 2010
Content-based hierarchical document organization using multi-layer hybrid network and tree-structured features.
Expert Syst. Appl., 2010
Proceedings of the 11th International Conference on Control, 2010
High Dimensional Data Classification by the PolSOM Algorithm.
Proceedings of The 2010 International Conference on Data Mining, 2010
2009
Multilayer SOM With Tree-Structured Data for Efficient Document Retrieval and Plagiarism Detection.
IEEE Trans. Neural Networks, 2009
Computational accounting in determining Chart of Accounts using nominal data analysis and concept of entropy.
Expert Syst. Appl., 2009
Expert Syst. Appl., 2009
Expert Syst. Appl., 2009
A new document representation using term frequency and vectorized graph connectionists with application to document retrieval.
Expert Syst. Appl., 2009
Quasi-sliding mode based repetitive control for nonlinear continuous-time systems with rejection of periodic disturbances.
Autom., 2009
PPoSOM: A Multidimensional Data Visualization Using Probabilistic Assignment Based on Polar SOM.
Proceedings of the Neural Information Processing, 16th International Conference, 2009
2008
Proceedings of the Computational Intelligence in Bioinformatics, 2008
Proceedings of the Computational Intelligence: A Compendium, 2008
Effective Gene Selection Method Using Bayesian Discriminant Based Criterion and Genetic Algorithms.
J. Signal Process. Syst., 2008
A New Feature Selection Scheme Using a Data Distribution Factor for Unsupervised Nominal Data.
IEEE Trans. Syst. Man Cybern. Part B, 2008
Iterative learning control for a class of nonlinear discrete-time systems with multiple input delays.
Int. J. Syst. Sci., 2008
Enhanced feature selection models using gradient-based and point injection techniques.
Neurocomputing, 2008
2007
Series in Electrical and Computer Engineering 7, WorldScientific, ISBN: 978-1-908979-37-7, 2007
IEEE Trans. Neural Networks, 2007
Repetitive Learning Control of Nonlinear Continuous-Time Systems Using Quasi-Sliding Mode.
IEEE Trans. Control. Syst. Technol., 2007
Effective Gene Selection Method With Small Sample Sets Using Gradient-Based and Point Injection Techniques.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007
A flexible multi-layer self-organizing map for generic processing of tree-structured data.
Pattern Recognit., 2007
Neural Comput. Appl., 2007
Neurocomputing, 2007
Identifying the biologically relevant gene categories based on gene expression and biological data: an example on prostate cancer.
Bioinform., 2007
A new feature selection scheme using data distribution factor for transactional data.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007
2006
Content-based image retrieval by using tree-structured features and multi-layer self-organizing map.
Pattern Anal. Appl., 2006
Using Cellular Probabilistic Self-Organizing Map in Borrowing Channel Assignment for Patterned Traffic Load.
Neural Process. Lett., 2006
Improvement of borrowing channel assignment for patterned traffic load by online cellular probabilistic self-organizing map.
Neural Comput. Appl., 2006
Neural Comput. Appl., 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Visualization of Induction Machine Fault Detection Using Self-Organizing Map and Support Vector Machine.
Proceedings of the 2006 International Conference on Image Processing, 2006
An Excellent Feature Selection Model Using Gradient-Based and Point Injection Techniques.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
2005
PRSOM: a new visualization method by hybridizing multidimensional scaling and self-organizing map.
IEEE Trans. Neural Networks, 2005
Estimating optimal feature subsets using efficient estimation of high-dimensional mutual information.
IEEE Trans. Neural Networks, 2005
Approximation of dynamical time-variant systems by continuous-time recurrent neural networks.
IEEE Trans. Circuits Syst. II Express Briefs, 2005
2-D system theory based iterative learning control for linear continuous systems with time delays.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
IEEE Trans. Circuits Syst. II Express Briefs, 2005
Efficient selection of discriminative genes from microarray gene expression data for cancer diagnosis.
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
IEEE Trans. Circuits Syst. I Regul. Pap., 2005
Content-based image retrieval using growing hierarchical self-organizing quadtree map.
Pattern Recognit., 2005
An iterative learning control method and mathematical model for robotic manipulation at undesired locations.
Int. J. Comput. Integr. Manuf., 2005
2004
IEEE Trans. Ind. Electron., 2004
IEEE Trans. Ind. Electron., 2004
An online cellular probabilistic self-organizing map for static and dynamic data sets.
IEEE Trans. Circuits Syst. I Regul. Pap., 2004
Clustering of the self-organizing map using a clustering validity index based on inter-cluster and intra-cluster density.
Pattern Recognit., 2004
Neurocomputing, 2004
2003
Neural Process. Lett., 2003
Neural Process. Lett., 2003
Int. J. Bifurc. Chaos, 2003
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003
2002
Neural Process. Lett., 2002
Neural Process. Lett., 2002
A New Color 3D SFS Methodology Using Neural-Based Color Reflectance Models and Iterative Recursive Method.
Neural Comput., 2002
Industrial neural vision system for underground railway station platform surveillance.
Adv. Eng. Informatics, 2002
2001
Feedforward networks training speed enhancement by optimal initialization of the synaptic coefficients.
IEEE Trans. Neural Networks, 2001
IEEE Trans. Neural Networks, 2001
Neural Comput., 2001
Int. J. Commun. Syst., 2001
Least third-order cumulant method with adaptive regularization parameter selection for neural networks.
Artif. Intell., 2001
2000
IEEE Trans. Neural Networks Learn. Syst., 2000
Blind identification of quadratic nonlinear models using neural networks with higher order cumulants.
IEEE Trans. Ind. Electron., 2000
IEEE Trans. Ind. Electron., 2000
A real-time learning control approach for nonlinear continuous-time system using recurrent neural networks.
IEEE Trans. Ind. Electron., 2000
IEEE Trans. Ind. Electron., 2000
Shape and surface measurement technology by an improved shape-from-shading neural algorithm.
IEEE Trans. Ind. Electron., 2000
Synthesis of the sliding-mode neural network controller for unknown nonlinear discrete-time systems.
Int. J. Syst. Sci., 2000
A weight initialization method for improving training speed in feedforward neural network.
Neurocomputing, 2000
Neurocomputing, 2000
1999
IEEE Trans. Syst. Man Cybern. Part B, 1999
IEEE Trans. Neural Networks, 1999
IEEE Trans. Neural Networks, 1999
IEEE Trans. Ind. Electron., 1999
Correction to "Semiblind Identification of Nonminimum-Phase ARMA Models via Order Recursion with Higher Order Cumulants".
IEEE Trans. Ind. Electron., 1999
Neural Process. Lett., 1999
A Fast Neural Learning Vision System for Crowd Estimation at Underground Stations Platform.
Neural Process. Lett., 1999
Training multilayer neural networks using fast global learning algorithm - least-squares and penalized optimization methods.
Neurocomputing, 1999
Adaptive Regularization Parameter Selection Method for Enhancing Generalization Capability of Neural Networks.
Artif. Intell., 1999
Fast training algorithm for feedforward neural networks: application to crowd estimation at underground stations.
Artif. Intell. Eng., 1999
1998
Semiblind identification of nonminimum-phase ARMA models via order recursion with higher order cumulants.
IEEE Trans. Ind. Electron., 1998
A recurrent neural-network-based real-time learning control strategy applying to nonlinear systems with unknown dynamics.
IEEE Trans. Ind. Electron., 1998
A Layer-by-Layer Least Squares based Recurrent Networks Training Algorithm: Stalling and Escape.
Neural Process. Lett., 1998
Autom., 1998
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998
1997
IEEE Trans. Neural Networks, 1997
Comments on "Stochastic choice of basis functions in adaptive function approximation and the functional-link net" [and reply].
IEEE Trans. Neural Networks, 1997
Higher order cumulants-based least squares for nonminimum-phase systems identification.
IEEE Trans. Ind. Electron., 1997
Signal Process., 1997
Feedforward Neural Networks Based Input-Output Models for Railway Carriage System Identification.
Neural Process. Lett., 1997
Development of a Recurrent Sigma-Pi Neural Network Rainfall Forecasting System in Hong Kong.
Neural Comput. Appl., 1997
A new method in determining initial weights of feedforward neural networks for training enhancement.
Neurocomputing, 1997
Artif. Intell., 1997
A hybrid global learning algorithm based on global search and least squares techniques for backpropagation networks.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Proceedings of the 5th Eurorean Symposium on Artificial Neural Networks, 1997
1996
IEEE Trans. Neural Networks, 1996
Proceedings of International Conference on Neural Networks (ICNN'96), 1996
Proceedings of the 4th European Symposium on Artificial Neural Networks, 1996
1995
Accelerated training algorithm for feedforward neural networks based on least squares method.
Neural Process. Lett., 1995
Determining initial weights of feedforward neural networks based on least squares method.
Neural Process. Lett., 1995
The estimation theory and optimization algorithm for the number of hidden units in the higher-order feedforward neural network.
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995
1994