Ah Chung Tsoi

Orcid: 0000-0003-2904-7008

According to our database1, Ah Chung Tsoi authored at least 138 papers between 1986 and 2023.

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Bibliography

2023
Graph Fusion Network-Based Multimodal Learning for Freezing of Gait Detection.
IEEE Trans. Neural Networks Learn. Syst., March, 2023

Embedding the Self-Organisation of Deep Feature Maps in the Hamburger Framework can Yield Better and Interpretable Results.
Proceedings of the International Joint Conference on Neural Networks, 2023

Going Deeper with Recursive Convolutional Layers.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Sign Language Translation with Hierarchical Spatio-Temporal Graph Neural Network.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
A Study on the effects of recursive convolutional layers in convolutional neural networks.
Neurocomputing, 2021

Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network.
CoRR, 2021

Topic-Guided Local-Global Graph Neural Network For Image Captioning.
Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

2020
Motion boundary emphasised optical flow method for human action recognition.
IET Comput. Vis., 2020

Embedding of FRPN in CNN architecture.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019
Sequential Pattern Learning via Kernel Alignment.
Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019

2018
The Vapnik-Chervonenkis dimension of graph and recursive neural networks.
Neural Networks, 2018

High-resolution Self-Organizing Maps for advanced visualization and dimension reduction.
Neural Networks, 2018

Human Action Segmentation Based on a Streaming Uniform Entropy Slice Method.
IEEE Access, 2018

A Family of Maximum Margin Criterion for Adaptive Learning.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Video Summarization via Weighted Neighborhood Based Representation.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Fractal dimension pattern-based multiresolution analysis for rough estimator of speaker-dependent audio emotion recognition.
Int. J. Wavelets Multiresolution Inf. Process., 2017

A fully recursive perceptron network architecture.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A novel object tracker designed based on a complementary framework.
Proceedings of the 2017 IEEE International Conference on Multimedia & Expo Workshops, 2017

2016
Multinomial Latent Logistic Regression for Image Understanding.
IEEE Trans. Image Process., 2016

Investigating the impact of frame rate towards robust human action recognition.
Signal Process., 2016

Mobile big data [Guest editorial].
IEEE Netw., 2016

Adaptive Training of Random Mapping for Data Quantization.
CoRR, 2016

A novel bagged particle filter for object tracking.
Proceedings of the 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry, 2016

High Resolution Self-organizing Maps.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015
Where2Stand: A Human Position Recommendation System for Souvenir Photography.
ACM Trans. Intell. Syst. Technol., 2015

CRH: A simple benchmark approach to continuous hashing.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Scale Invariant Feature Transform Flow trajectory approach with applications to human action recognition.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Superpixel appearance and motion descriptors for action recognition.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

EAGLE: A novel descriptor for identifying plant species using leaf lamina vascular features.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

Architectural Style Classification Using Multinomial Latent Logistic Regression.
Proceedings of the Computer Vision - ECCV 2014, 2014

Motion Boundary Trajectory for Human Action Recognition.
Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013
Learning Structural Representations of Text Documents in Large Document Collections.
Proceedings of the Handbook on Neural Information Processing, 2013

Solving graph data issues using a layered architecture approach with applications to web spam detection.
Neural Networks, 2013

Cost-sensitive cascade graph neural networks.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Human Action Recognition: A Dense Trajectory and Similarity Constrained Latent Support Vector Machine Approach.
Proceedings of the 2nd IAPR Asian Conference on Pattern Recognition, 2013

2012
Neural Network Classification and Prior Class Probabilities.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

2011
Sparsity Issues in Self-Organizing-Maps for Structures.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010
Web Spam Detection by Probability Mapping GraphSOMs and Graph Neural Networks.
Proceedings of the Artificial Neural Networks, 2010

Sentence Extraction by Graph Neural Networks.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Unsupervised and Supervised Learning of Graph Domains.
Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

Computational Capabilities of Graph Neural Networks.
IEEE Trans. Neural Networks, 2009

The Graph Neural Network Model.
IEEE Trans. Neural Networks, 2009

Graph self-organizing maps for cyclic and unbounded graphs.
Neurocomputing, 2009

Ranking Attack Graphs with Graph Neural Networks.
Proceedings of the Information Security Practice and Experience, 2009

Supervised Encoding of Graph-of-Graphs for Classification and Regression Problems.
Proceedings of the Focused Retrieval and Evaluation, 2009

A Machine Learning Approach to Link Prediction for Interlinked Documents.
Proceedings of the Focused Retrieval and Evaluation, 2009

Projection of undirected and non-positional graphs using Self Organizing Maps.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009

A ConceptLink Graph for Text Structure Mining.
Proceedings of the Computer Science 2009, 2009

2008
A Balanced Approach to Multichannel Blind Deconvolution.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008

A variational Bayesian approach to number of sources estimation for multichannel blind deconvolution.
Signal Image Video Process., 2008

Novel Fuzzy Logic Controllers with Self-Tuning Capability.
J. Comput., 2008

Quality Information Retrieval for the World Wide Web.
Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

Self Organizing Maps for the Clustering of Large Sets of Labeled Graphs.
Proceedings of the Advances in Focused Retrieval, 2008

Ranking Web Pages Using Machine Learning Approaches.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

A Scalable Lightweight Distributed Crawler for Crawling with Limited Resources.
Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008

Self-Organizing Maps for cyclic and unbounded graphs.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
A unified balanced approach to multichannel blind deconvolution.
Signal Image Video Process., 2007

Dataset acquisition, accessibility, annotation, e-research technologies (DART) project.
Int. J. Digit. Libr., 2007

Self-tuning PD+I fuzzy logic controller with minimum number of rules.
Proceedings of the IEEE International Conference on Systems, 2007

Efficient Clustering of Structured Documents Using Graph Self-Organizing Maps.
Proceedings of the Focused Access to XML Documents, 2007

2006
Computing customized page ranks.
ACM Trans. Internet Techn., 2006

Combined learning and pruning for recurrent radial basis function networks based on recursive least square algorithms.
Neural Comput. Appl., 2006

Balanced parameterization of multichannel blind deconvolutive systems: A continuous time realization.
Neurocomputing, 2006

Document Mining Using Graph Neural Network.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

XML Document Mining Using Contextual Self-organizing Maps for Structures.
Proceedings of the Comparative Evaluation of XML Information Retrieval Systems, 2006

Hierarchical Hidden Markov Models: An Application to Health Insurance Data.
Proceedings of the Data Mining - Theory, Methodology, Techniques, and Applications, 2006

Collaboration Between China and Australia: An e-Water Workshop Report.
Proceedings of the Frontiers of WWW Research and Development, 2006

Self-organising Map Techniques for Graph Data Applications to Clustering of XML Documents.
Proceedings of the Advanced Data Mining and Applications, Second International Conference, 2006

2005
Incremental training of support vector machines.
IEEE Trans. Neural Networks, 2005

Pattern Discovery on Australian Medical Claims Data-A Systematic Approach.
IEEE Trans. Knowl. Data Eng., 2005

A supervised training algorithm for self-organizing maps for structures.
Pattern Recognit. Lett., 2005

Adaptive page ranking with neural networks.
Proceedings of the 14th international conference on World Wide Web, 2005

The WT10G dataset and the evolution of the web.
Proceedings of the 14th international conference on World Wide Web, 2005

Graph Neural Networks for Ranking Web Pages.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Clustering XML Documents Using Self-organizing Maps for Structures.
Proceedings of the Advances in XML Information Retrieval and Evaluation, 2005

Contextual Processing of Graphs using Self-Organizing Maps.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

A Neural Network Approach to Web Graph Processing.
Proceedings of the Web Technologies Research and Development - APWeb 2005, 7th Asia-Pacific Web Conference, Shanghai, China, March 29, 2005

2004
Computing personalized pageranks.
Proceedings of the 13th international conference on World Wide Web, 2004

Graphical-Based Learning Environments for Pattern Recognition.
Proceedings of the Structural, 2004

A Continuous Time Balanced Parametrization Approach to Multichannel Blind Deconvolution.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
A self-organizing map for adaptive processing of structured data.
IEEE Trans. Neural Networks, 2003

An improved algorithm for learning long-term dependency problems in adaptive processing of data structures.
IEEE Trans. Neural Networks, 2003

Using attributed plex grammars for the generation of image and graph databases.
Pattern Recognit. Lett., 2003

Content-Based Image Retrieval with Relevance Feedback Using Adaptive Processing of Tree-Structure Image Representation.
Int. J. Image Graph., 2003

Adaptive ranking of web pages.
Proceedings of the Twelfth International World Wide Web Conference, 2003

A Simple Focused Crawler.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

Flexible multichannel blind deconvolution, an investigation.
Proceedings of the NNSP 2003, 2003

Blind deconvolution of dynamical systems using a balanced parameterized state space approach.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

An introduction to learning in web domains.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2001
Nonlinear system modeling via knot-optimizing B-spline networks.
IEEE Trans. Neural Networks, 2001

Two regularizers for recursive least squared algorithms in feedforward multilayered neural networks.
IEEE Trans. Neural Networks, 2001

Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference.
Mach. Learn., 2001

A Supervised Self-Organizing Map for Structured Data.
Proceedings of the Advances in Self-Organising Maps, 2001

2000
Building MLP Networks by Construction.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Alternative discrete-time operators: an algorithm for optimal selection of parameters.
IEEE Trans. Signal Process., 1999

A benchmark for testing adaptive systems on structured data.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998
Comments on local minima free conditions in multilayer perceptrons.
IEEE Trans. Neural Networks, 1998

On the closure of the set of functions that can be realized by a given multilayer perceptron.
IEEE Trans. Neural Networks, 1998

Universal Approximation Using Feedforward Neural Networks: A Survey of Some Existing Methods, and Some New Results.
Neural Networks, 1998

A Low Sensitivity Recurrent Neural Network.
Neural Comput., 1998

1997
Nonlinear considerations in EEG signal classification.
IEEE Trans. Signal Process., 1997

A new approach to adaptive fuzzy control: the controller output error method.
IEEE Trans. Syst. Man Cybern. Part B, 1997

An evaluation of the neocognitron.
IEEE Trans. Neural Networks, 1997

Face recognition: a convolutional neural-network approach.
IEEE Trans. Neural Networks, 1997

On the distribution of performance from multiple neural-network trials.
IEEE Trans. Neural Networks, 1997

Classification of EEG signals using the wavelet transform.
Signal Process., 1997

A Reconfigurable Bit-Serial VLSI Systolic Array Neuro-Chip.
J. Parallel Distributed Comput., 1997

Recurrent neural networks: A constructive algorithm, and its properties.
Neurocomputing, 1997

Discrete time recurrent neural network architectures: A unifying review.
Neurocomputing, 1997

Gradient Based Learning Methods.
Proceedings of the Adaptive Processing of Sequences and Data Structures, 1997

Recurrent Neural Network Architectures: An Overview.
Proceedings of the Adaptive Processing of Sequences and Data Structures, 1997

Rule inference for financial prediction using recurrent neural networks.
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997

Lessons in Neural Network Training: Overfitting May be Harder than Expected.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1996
Learning fuzzy inference systems using an adaptive membership function scheme.
IEEE Trans. Syst. Man Cybern. Part B, 1996

Matrix formulation of fuzzy rule-based systems.
IEEE Trans. Syst. Man Cybern. Part B, 1996

Interpretation preservation of adaptive fuzzy inference systems.
Int. J. Approx. Reason., 1996

Neural Network Classification and Prior Class Probabilities.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

Correctness, efficiency, extendability and maintainability in neural network simulation.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Local minima and generalization.
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Which classes of functions can a given multilayer perceptron approximate?
Proceedings of International Conference on Neural Networks (ICNN'96), 1996

Convolutional Neural Networks for Face Recognition.
Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

1995
Application of multi-layer perceptron in estimating speech/noise characteristics for speech recognition in noisy environment.
Speech Commun., 1995

Efficacy of modified backpropagation and optimisation methods on a real-world medical problem.
Neural Networks, 1995

The Gamma MLP for Speech Phoneme Recognition.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Locally recurrent globally feedforward networks: a critical review of architectures.
IEEE Trans. Neural Networks, 1994

Single net indirect learning architecture.
IEEE Trans. Neural Networks, 1994

A Comparison of Discrete-Time Operator Models and for Nonlinear System Identification.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
Comments on 'Optimal training of thresholded linear correlation classifiers' [with reply].
IEEE Trans. Neural Networks, 1993

The relationship between a time-varying model of non-stationary signals and its Wigner distribution.
Signal Process., 1993

A Simplified Gradient Algorithm for IIR Synapse Multilayer Perceptrons.
Neural Comput., 1993

A Constructive Algorithm for the Training of a Multilayer Perceptron Based on the Genetic Algorithm.
Complex Syst., 1993

Classification of Electroencephalogram Using Artificial Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

Connectionist Modeling and Parallel Architectures.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
An Adaptive Lattice Architecture for Dynamic Multilayer Perceptrons.
Neural Comput., 1992

1991
FIR and IIR Synapses, a New Neural Network Architecture for Time Series Modeling.
Neural Comput., 1991

Application of Neural Network Methodology to the Modelling of the Yield Strength in a Steel Rolling Plate Mill.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

1990
Comparison of Three Classification Techniques: CART, C4.5 and Multi-Layer Perceptrons.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

1986
A Kalman filtering approach to short-time Fourier analysis.
IEEE Trans. Acoust. Speech Signal Process., 1986


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