Lipo Wang

Orcid: 0000-0002-4257-7639

According to our database1, Lipo Wang authored at least 194 papers between 1993 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
TBMF Framework: A Transformer-Based Multilevel Filtering Framework for PD Detection.
IEEE Trans. Ind. Electron., April, 2024

2023
A spectral-ensemble deep random vector functional link network for passive brain-computer interface.
Expert Syst. Appl., October, 2023

Preface: Quantification of Uncertainty in Dynamic Situations for Mobile Robot Learning.
J. Uncertain Syst., March, 2023

A Workflow Scheduling Approach With Modified Fuzzy Adaptive Genetic Algorithm in IaaS Clouds.
IEEE Trans. Serv. Comput., 2023

Semantic Learning for Analysis of Overlapping LPI Radar Signals.
IEEE Trans. Instrum. Meas., 2023

Smart Community Networks and Systems.
IEEE Netw., 2023

An enhanced ensemble deep random vector functional link network for driver fatigue recognition.
Eng. Appl. Artif. Intell., 2023

Neural Network Feature Explanation Using Neuron Activation Rate Based Bipartite Graph.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

Fast Blind Recovery of Linear Block Codes over Noisy Channels.
Proceedings of the IEEE International Symposium on Information Theory, 2023

Novel Automatic Deep Learning Feature Extractor with Target Class Specific Feature Explanations.
Proceedings of the International Joint Conference on Neural Networks, 2023

Ensemble of Randomized Neural Network and Boosted Trees for Eye-Tracking-Based Driver Situation Awareness Recognition and Interpretation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

A Topology Based Denoising Approach for 2D Scalar Fields.
Proceedings of the IEEE International Conference on Image Processing, 2023

Entropy-driven Adversarial Training For Source-free Medical Image Segmentation.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
STEW: Simultaneous Task EEG Workload Dataset.
Dataset, May, 2022

Deep and Domain Transfer Learning Aided Photoacoustic Microscopy: Acoustic Resolution to Optical Resolution.
IEEE Trans. Medical Imaging, 2022

Sample-Based Data Augmentation Based on Electroencephalogram Intrinsic Characteristics.
IEEE J. Biomed. Health Informatics, 2022

Speech Fusion to Face: Bridging the Gap Between Human's Vocal Characteristics and Facial Imaging.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Novel Explainable Deep Learning Model with Class Specific Features.
Proceedings of the Image and Vision Computing - 37th International Conference, 2022

Situation Awareness Recognition Using EEG and Eye-Tracking data: a pilot study.
Proceedings of the International Conference on Cyberworlds, 2022

2021
A robust and efficient image de-fencing approach using conditional generative adversarial networks.
Signal Image Video Process., 2021

Privacy preservation through facial de-identification with simultaneous emotion preservation.
Signal Image Video Process., 2021

A Novel Grid-Based Clustering Algorithm.
J. Artif. Intell. Soft Comput. Res., 2021

A New Approach to Detection of Changes in Multidimensional Patterns - Part II.
J. Artif. Intell. Soft Comput. Res., 2021

Advantages of direct input-to-output connections in neural networks: The Elman network for stock index forecasting.
Inf. Sci., 2021

An intelligent location recommender system utilising multi-agent induced cognitive behavioural model.
Enterp. Inf. Syst., 2021

BGaitR-Net: Occluded Gait Sequence reconstructionwith temporally constrained model for gait recognition.
CoRR, 2021

Adaptive Transfer Learning To Enhance Domain Transfer In Brain Tumor Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model.
Proceedings of the International Conference on Cyberworlds, 2021

2020
Effects of direct input-output connections on multilayer perceptron neural networks for time series prediction.
Soft Comput., 2020

Editorial for special section on ICNC-FSKD 2017.
Soft Comput., 2020

Optimization of Submodularity and BBO-Based Routing Protocol for Wireless Sensor Deployment.
Sensors, 2020

3D Deep Learning on Medical Images: A Review.
Sensors, 2020

T-MAN: a neural ensemble approach for person re-identification using spatio-temporal information.
Multim. Tools Appl., 2020

A Novel Drift Detection Algorithm Based on Features' Importance Analysis in a Data Streams Environment.
J. Artif. Intell. Soft Comput. Res., 2020

On Training Deep Neural Networks Using a Streaming Approach.
J. Artif. Intell. Soft Comput. Res., 2020

Deep Convolution and Correlated Manifold Embedded Distribution Alignment for Forest Fire Smoke Prediction.
Comput. Informatics, 2020

SAFE: An EEG dataset for stable affective feature selection.
Adv. Eng. Informatics, 2020

A Population-Based Method with Selection of a Search Operator.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

On a Streaming Approach for Training Denoising Auto-encoders.
Proceedings of the Artificial Intelligence and Soft Computing, 2020

EEG-based Recognition of Driver State Related to Situation Awareness Using Graph Convolutional Networks.
Proceedings of the International Conference on Cyberworlds, 2020

2019
Domain Adaptation Techniques for EEG-Based Emotion Recognition: A Comparative Study on Two Public Datasets.
IEEE Trans. Cogn. Dev. Syst., 2019

Image Thresholding Improves 3-Dimensional Convolutional Neural Network Diagnosis of Different Acute Brain Hemorrhages on Computed Tomography Scans.
Sensors, 2019

Editorial Message: Special Issue on Advances in Parallel and Distributed Computing for Fuzzy Systems.
Int. J. Fuzzy Syst., 2019

RGait-NET: An Effective Network for Recovering Missing Information from Occluded Gait Cycles.
CoRR, 2019

Fully Automated Image De-fencing using Conditional Generative Adversarial Networks.
CoRR, 2019

2018
Scenario-Based Insider Threat Detection From Cyber Activities.
IEEE Trans. Comput. Soc. Syst., 2018

EEG-Based Mental Workload and Stress Monitoring of Crew Members in Maritime Virtual Simulator.
Trans. Comput. Sci., 2018

Mobolic: An automated approach to exercising mobile application GUIs using symbiosis of online testing technique and customated input generation.
Softw. Pract. Exp., 2018

A Systematic Literature Review of Automated Techniques for Functional GUI Testing of Mobile Applications.
CoRR, 2018

On the self-similarity of line segments in decaying homogeneous isotropic turbulence.
CoRR, 2018

Deep Learning Applications in Medical Image Analysis.
IEEE Access, 2018

IEEE Access Special Section Editorial: Soft Computing Techniques for Image Analysis in the Medical Industry - Current Trends, Challenges and Solutions.
IEEE Access, 2018

A Comparison of Android Reverse Engineering Tools via Program Behaviors Validation Based on Intermediate Languages Transformation.
IEEE Access, 2018

Apk2vec: Semi-Supervised Multi-view Representation Learning for Profiling Android Applications.
Proceedings of the IEEE International Conference on Data Mining, 2018

Cross Dataset Workload Classification Using Encoded Wavelet Decomposition Features.
Proceedings of the 2018 International Conference on Cyberworlds, 2018

Stable Feature Selection for EEG-based Emotion Recognition.
Proceedings of the 2018 International Conference on Cyberworlds, 2018

2017
Applications in heterogeneous parallel and distributed environment.
Concurr. Comput. Pract. Exp., 2017

A TCART-M - Tuned CARTesian-based error function for multilabel classification with the MLP.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Bitcoin price prediction using ensembles of neural networks.
Proceedings of the 13th International Conference on Natural Computation, 2017

A Method for Nonlinear Fuzzy Modelling Using Population Based Algorithm with Flexibly Selectable Operators.
Proceedings of the Artificial Intelligence and Soft Computing, 2017

Unsupervised Feature Learning for EEG-based Emotion Recognition.
Proceedings of the 2017 International Conference on Cyberworlds, 2017

2016
Processing Bio-medical Data with Class-Dependent Feature Selection.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

Real-time EEG-based emotion monitoring using stable features.
Vis. Comput., 2016

CogniMeter: EEG-Based Brain States Monitoring.
Trans. Comput. Sci., 2016

Learning ECOC Code Matrix for Multiclass Classification with Application to Glaucoma Diagnosis.
J. Medical Syst., 2016

Individual alpha peak frequency based features for subject dependent EEG workload classification.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Using Support Vector Regression to estimate valence level from EEG.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Housing price prediction using neural networks.
Proceedings of the 12th International Conference on Natural Computation, 2016

Query-by-Example Image Retrieval in Microsoft SQL Server.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

The Method of the Evolutionary Designing the Elastic Controller Structure.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

New Approach for Interpretability of Neuro-Fuzzy Systems with Parametrized Triangular Norms.
Proceedings of the Artificial Intelligence and Soft Computing, 2016

Neuroscience Based Design: Fundamentals and Applications.
Proceedings of the 2016 International Conference on Cyberworlds, 2016

LibSift: Automated Detection of Third-Party Libraries in Android Applications.
Proceedings of the 23rd Asia-Pacific Software Engineering Conference, 2016

2015
Editorial on: BioMedical Engineering & Informatics.
Comput. Biol. Medicine, 2015

EEG Based Stress Monitoring.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Detecting clones in Android applications through analyzing user interfaces.
Proceedings of the 2015 IEEE 23rd International Conference on Program Comprehension, 2015

Optimization of Controller Structure Using Evolutionary Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2015

Prediction of Human Cognitive Abilities Based on EEG Measurements.
Proceedings of the International Conference on Cyberworlds, 2015

MIND - An EEG Neurofeedback Multitasking Game.
Proceedings of the International Conference on Cyberworlds, 2015

Improving artificial neural network based stock forecasting using fourier de-noising and Hodrick-Prescott Filter.
Proceedings of the 10th International Conference on Information, 2015

EEG-based mental workload recognition related to multitasking.
Proceedings of the 10th International Conference on Information, 2015

Real-time EEG-based user's valence monitoring.
Proceedings of the 10th International Conference on Information, 2015

2014
Saliency-Based Defect Detection in Industrial Images by Using Phase Spectrum.
IEEE Trans. Ind. Informatics, 2014

Geometric Optimum Experimental Design for Collaborative Image Retrieval.
IEEE Trans. Circuits Syst. Video Technol., 2014

An intelligent analysis and prediction model for on-demand cloud computing systems.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Improving the genetic-algorithm-optimized wavelet neural network for stock market prediction.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Evolutionary Approach with Multiple Quality Criteria for Controller Design.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

New Method for Design of Fuzzy Systems for Nonlinear Modelling Using Different Criteria of Interpretability.
Proceedings of the Artificial Intelligence and Soft Computing, 2014

Stability of Features in Real-Time EEG-based Emotion Recognition Algorithm.
Proceedings of the 2014 International Conference on Cyberworlds, 2014

2013
Neural Networks and Wavelet De-Noising for Stock Trading and Prediction.
Proceedings of the Time Series Analysis, Modeling and Applications, 2013

Editorial: Special Issue on "Recent Advances in Intelligent Techniques".
Int. J. Intell. Syst., 2013

ICNC-FSKD 2012 Special Issue on "Computers & Mathematics in Natural Computation and Data Mining".
Comput. Math. Appl., 2013

Feature Selection for Stock Market Analysis.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

A semantic subspace learning method to exploit relevance feedback log data for image retrieval.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

One-step and multi-step ahead stock prediction using backpropagation neural networks.
Proceedings of the 9th International Conference on Information, 2013

2012
Generalized Biased Discriminant Analysis for Content-Based Image Retrieval.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Conjunctive Patches Subspace Learning With Side Information for Collaborative Image Retrieval.
IEEE Trans. Image Process., 2012

Semisupervised Biased Maximum Margin Analysis for Interactive Image Retrieval.
IEEE Trans. Image Process., 2012

Laplacian Regularized Subspace Learning for interactive image re-ranking.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Recent progress in natural computation and knowledge discovery: an ICNC'09-FSKD'09 special issue.
Soft Comput., 2011

Guest editorial: special issue on new trends in multimedia processing.
Multim. Tools Appl., 2011

ICNC-FSKD 2010 Special Issue on Computers & Mathematics in Natural Computation and Knowledge Discovery.
Comput. Math. Appl., 2011

Preface FSKD 2011.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

Biased subspace learning for SVM Relevance Feedback in Content-Based Image Retrieval.
Proceedings of the 8th International Conference on Information, 2011

2010
Artificial intelligence in biomedical engineering and informatics: An introduction and review.
Artif. Intell. Medicine, 2010

Stock Forecasting with Feedforward Neural Networks and Gradual Data Sub-Sampling.
Aust. J. Intell. Inf. Process. Syst., 2010

Intelligent trading using support vector regression and multilayer perceptrons optimized with genetic algorithms.
Proceedings of the International Joint Conference on Neural Networks, 2010

Preface.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Optimal location management in mobile computing with hybrid genetic algorithm and particle swarm optimization (GA-PSO).
Proceedings of the 17th IEEE International Conference on Electronics, 2010

Preface.
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009
Delay-Constrained Multicast Routing Using the Noisy Chaotic Neural Networks.
IEEE Trans. Computers, 2009

Editorial.
Soft Comput., 2009

Advances in fuzzy sets and knowledge discovery.
Comput. Math. Appl., 2009

Minimizing interference in satellite communications using transiently chaotic neural networks.
Comput. Math. Appl., 2009

Key node selection for containing infectious disease spread using particle swarm optimization.
Proceedings of the 2009 IEEE Swarm Intelligence Symposium, 2009

An Ant Colony Optimization Algorithm Based on the Experience Model.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2008
Data Mining in QoS-Aware Media Grids.
Proceedings of the Computational Intelligence: A Compendium, 2008

Assisting Cancer Diagnosis with Fuzzy Neural Networks.
Proceedings of the Computational Intelligence in Biomedicine and Bioinformatics, 2008

Artificial Neural Networks.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

Noisy Chaotic Neural Networks With Variable Thresholds for the Frequency Assignment Problem in Satellite Communications.
IEEE Trans. Syst. Man Cybern. Part C, 2008

A General Wrapper Approach to Selection of Class-Dependent Features.
IEEE Trans. Neural Networks, 2008

Feature Selection Based on the Rough Set Theory and Expectation-Maximization Clustering Algorithm.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

Improved Multilabel Classification with Neural Networks.
Proceedings of the Parallel Problem Solving from Nature, 2008

Class-Dependent Feature Selection for Face Recognition.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Predicting Signal Peptides and Their Cleavage Sites Using Support Vector Machines and Improved Position Weight Matrixes.
Proceedings of the Fourth International Conference on Natural Computation, 2008

Ant Colony Optimization for the Traveling Salesman Problem Based on Ants with Memory.
Proceedings of the Fourth International Conference on Natural Computation, 2008

High Resolution Direct Numerical Simulation of Homogeneous Shear Turbulence.
Proceedings of the High Performance Computing in Science and Engineering '08, 2008

2007
Noisy Chaotic Neural Networks for Combinatorial Optimization.
Proceedings of the Challenges for Computational Intelligence, 2007

Accurate Cancer Classification Using Expressions of Very Few Genes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2007

Cellular Neural Networks With Transient Chaos.
IEEE Trans. Circuits Syst. II Express Briefs, 2007

A Modified T-test Feature Selection Method and Its Application on the HapMap Genotype Data.
Genom. Proteom. Bioinform., 2007

Society Briefs.
IEEE Comput. Intell. Mag., 2007

Effective selection of informative SNPs and classification on the HapMap genotype data.
BMC Bioinform., 2007

Solving the Delay Constrained Multicast Routing Problem Using the Transiently Chaotic Neural Network.
Proceedings of the Advances in Neural Networks, 2007

Variable Thresholds in the Chaotic Cellular Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2007

Perfect Population Classification on Hapmap Data with a Small Number of SNPs.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Minimizing Interference in Satellite Communications Using Chaotic Neural Networks.
Proceedings of the Third International Conference on Natural Computation, 2007

Noisy Chaotic Neural Networks For Delay Constrained Multicast Routing.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Scheduling, 2007

2006
A gradual noisy chaotic neural network for solving the broadcast scheduling problem in packet radio networks.
IEEE Trans. Neural Networks, 2006

Editorial for special issue on "Soft Computing for Bioinformatics and Medical Informatics".
Soft Comput., 2006

Introducing the CIS Technical Activities [Society Briefs].
IEEE Comput. Intell. Mag., 2006

A Novel Support Vector Machine with Class-dependent Features for Biomedical Data.
Proceedings of the IEEE International Conference on Systems, 2006

A Novel Approach Searching for Discriminative Gene Sets.
Proceedings of the IEEE International Conference on Systems, 2006

Applying RBF Neural Networks to Cancer Classification Based on Gene Expressions.
Proceedings of the International Joint Conference on Neural Networks, 2006

Chaotic Cellular Neural Networks with Negative Self-feedback.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Active Mining Discriminative Gene Sets.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
Data Mining with Computational Intelligence.
Advanced Information and Knowledge Processing, Springer, ISBN: 978-3-540-28803-9, 2005

Broadcast scheduling in wireless multihop networks using a neural-network-based hybrid algorithm.
Neural Networks, 2005

Applications of support vector machines to cancer classification with microarray data.
Int. J. Neural Syst., 2005

Data dimensionality reduction with application to improving classification performance and explaining concepts of data sets.
Int. J. Bus. Intell. Data Min., 2005

On the Universal Approximation Theorem of Fuzzy Neural Networks with Random Membership Function Parameters.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A Simple Rule Extraction Method Using a Compact RBF Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Optimal TDMA Frame Scheduling in Broadcasting Packet Radio Networks Using a Gradual Noisy Chaotic Neural Network.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Optimal Size of a Feedforward Neural Network: How Much does it Matter?.
Proceedings of the Joint International Conference on Autonomic and Autonomous Systems 2005 / International Conference on Networking and Services 2005, 2005

Classification using support vector machines with graded resolution.
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

A fuzzy neural network for intelligent data processing.
Proceedings of the Data Mining, 2005

FPGA segmented channel routing using genetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
A noisy chaotic neural network for solving combinatorial optimization problems: stochastic chaotic simulated annealing.
IEEE Trans. Syst. Man Cybern. Part B, 2004

A Noisy Chaotic Neural Network Approach to Topological Optimization of a Communication Network with Reliability Constraints.
Proceedings of the Advances in Neural Networks, 2004

A Novel Fuzzy Neural Network with Fast Training and Accurate Generalization.
Proceedings of the Advances in Neural Networks, 2004

Snap-Shots on Neuroinformatics and Neural Information Processing Research in Singapore.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

A noisy chaotic neural network approach to image denoising.
Proceedings of the 2004 International Conference on Image Processing, 2004

A Novel RBF Neural Network with Fast Training and Accurate Generalization.
Proceedings of the Computational and Information Science, First International Symposium, 2004

Genetic Algorithms with Stochastic Ranking for Optimal Channel Assignment in Mobile Communications.
Proceedings of the Computational and Information Science, First International Symposium, 2004

2003
Data dimensionality reduction with application to simplifying RBF network structure and improving classification performance.
IEEE Trans. Syst. Man Cybern. Part B, 2003

Optimal channel assignment in cellular systems using tabu search.
Proceedings of the IEEE 14th International Symposium on Personal, 2003

2002
Content-based audio classification and retrieval using a fuzzy logic system: towards multimedia search engines.
Soft Comput., 2002

A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlinear processes.
Soft Comput., 2002

Minimizing Interference in Mobile Communications Using Genetic Algorithms.
Proceedings of the Computational Science - ICCS 2002, 2002

Rule extraction from an RBF classifier based on class-dependent features.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

A GA-based RBF classifier with class-dependent features.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Linguistic Rule Extraction From a Simplified RBF Neural Network.
Comput. Stat., 2001

Content-Based Sound Retrieval for Web Application.
Proceedings of the Web Intelligence: Research and Development, 2001

Channel Assignment for Mobile Communications Using Stochastic Chaotic Simulated Annealing.
Proceedings of the Connectionist Models of Neurons, 2001

Wavelet Packet Multi-layer Perceptron for Chaotic Time Series Prediction: Effects of Weight Initialization.
Proceedings of the Computational Science - ICCS 2001, 2001

Rule extraction by genetic algorithms based on a simplified RBF neural network.
Proceedings of the 2001 Congress on Evolutionary Computation, 2001

2000
Heteroassociations of spatio-temporal sequences with the bidirectional associative memory.
IEEE Trans. Neural Networks Learn. Syst., 2000

Dominant subspace analysis for auditory spectrum.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Noisy Chaotic Neural Networks for Solving Combinatorial Optimization Problems.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Augmented Lagrange Chaotic Simulated Annealing for Combinatorial Optimization Problems.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Multi-associative neural networks and their applications to learning and retrieving complex spatio-temporal sequences.
IEEE Trans. Syst. Man Cybern. Part B, 1999

Direct MRAC with dynamically constructed neural controllers.
Proceedings of the International Joint Conference Neural Networks, 1999

A fuzzy neural network for data mining: dealing with the problem of small disjuncts.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
On chaotic simulated annealing.
IEEE Trans. Neural Networks, 1998

Effects of noise in training patterns on the memory capacity of the fully connected binary Hopfield neural network: mean-field theory and simulations.
IEEE Trans. Neural Networks, 1998

Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks.
Proceedings of the Research and Development in Knowledge Discovery and Data Mining, 1998

Storage and Recall of Spatio-Temporal Sequences Using Any Multi-Associative Neural Networks.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Noise injection into inputs in sparsely connected Hopfield and winner-take-all neural networks.
IEEE Trans. Syst. Man Cybern. Part B, 1997

On competitive learning.
IEEE Trans. Neural Networks, 1997

Discrete-time convergence theory and updating rules for neural networks with energy functions.
IEEE Trans. Neural Networks, 1997

1996
Oscillatory and chaotic dynamics in neural networks under varying operating conditions.
IEEE Trans. Neural Networks, 1996

1995
An artificial neural network system for temporal-spatial sequence processing.
Pattern Recognit., 1995

Speech Word Recognition with Backpropagation and Fuzzy-Artmap Neural Networks.
Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995

1993
Artificial neural networks - oscillations, chaos, and sequence processing.
IEEE, ISBN: 978-0-8186-4470-2, 1993


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