Bao-Liang Lu

According to our database1, Bao-Liang Lu authored at least 193 papers between 1997 and 2018.

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Bibliography

2018
EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes.
IEEE Trans. Cognitive and Developmental Systems, 2018

Graph-Based Bilingual Word Embedding for Statistical Machine Translation.
ACM Trans. Asian & Low-Resource Lang. Inf. Process., 2018

Semi-supervised Deep Generative Modelling of Incomplete Multi-Modality Emotional Data.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Sleep Quality Estimation with Adversarial Domain Adaptation: From Laboratory to Real Scenario.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Multimodal Vigilance Estimation with Adversarial Domain Adaptation Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Active Feedback Framework with Scan-Path Clustering for Deep Affective Models.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Multi-view Emotion Recognition Using Deep Canonical Correlation Analysis.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

WGAN Domain Adaptation for EEG-Based Emotion Recognition.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Cross-Subject Emotion Recognition Using Deep Adaptation Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Driver Sleepiness Detection Using LSTM Neural Network.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
Online Depth Image-Based Object Tracking with Sparse Representation and Object Detection.
Neural Processing Letters, 2017

Robust structured sparse representation via half-quadratic optimization for face recognition.
Multimedia Tools Appl., 2017

Discriminative extreme learning machine with supervised sparsity preserving for image classification.
Neurocomputing, 2017

Bootstrapping integrative hypothesis test for identifying biomarkers that differentiates lung cancer and chronic obstructive pulmonary disease.
Neurocomputing, 2017

Emotion Annotation Using Hierarchical Aligned Cluster Analysis.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

EEG-Based Sleep Quality Evaluation with Deep Transfer Learning.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Investigating Gender Differences of Brain Areas in Emotion Recognition Using LSTM Neural Network.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Identifying Gender Differences in Multimodal Emotion Recognition Using Bimodal Deep AutoEncoder.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Multimodal Emotion Recognition Using Deep Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Detecting driver sleepiness from EEG alpha wave during daytime driving.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
Converting Continuous-Space Language Models into N-gram Language Models with Efficient Bilingual Pruning for Statistical Machine Translation.
ACM Trans. Asian & Low-Resource Lang. Inf. Process., 2016

An unsupervised discriminative extreme learning machine and its applications to data clustering.
Neurocomputing, 2016

Discriminative manifold extreme learning machine and applications to image and EEG signal classification.
Neurocomputing, 2016

Measuring sleep quality from EEG with machine learning approaches.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Driving fatigue detection with fusion of EEG and forehead EOG.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Personalizing EEG-Based Affective Models with Transfer Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Bilingual Graph-Based Semantic Model for Statistical Machine Translation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Continuous Vigilance Estimation Using LSTM Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Emotion Recognition Using Multimodal Deep Learning.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Detecting slow eye movement for recognizing driver's sleep onset period with EEG features.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Connecting Phrase based Statistical Machine Translation Adaptation.
Proceedings of the COLING 2016, 2016

On the Reducibility of Submodular Functions.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Large-Scale Nyström Kernel Matrix Approximation Using Randomized SVD.
IEEE Trans. Neural Netw. Learning Syst., 2015

Bilingual Continuous-Space Language Model Growing for Statistical Machine Translation.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2015

Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks.
IEEE Trans. Autonomous Mental Development, 2015

Graph Based Semi-Supervised Learning via Structure Preserving Low-Rank Representation.
Neural Processing Letters, 2015

Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning.
Neural Networks, 2015

Hybrid learning clonal selection algorithm.
Inf. Sci., 2015

Discriminative graph regularized extreme learning machine and its application to face recognition.
Neurocomputing, 2015

English to Chinese Translation: How Chinese Character Matters.
Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation, 2015

Bootstrapped Integrative Hypothesis Test, COPD-Lung Cancer Differentiation, and Joint miRNAs Biomarkers.
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques, 2015

Combining Eye Movements and EEG to Enhance Emotion Recognition.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Transfer Components Between Subjects for EEG-based Driving Fatigue Detection.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Intensity-Depth Face Alignment Using Cascade Shape Regression.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Distance Preserving Marginal Hashing for image retrieval.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Graph regularized non-negative local coordinate factorization with pairwise constraints for image representation.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Robust group sparse representation via half-quadratic optimization for face recognition.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

Transfer components between subjects for EEG-based emotion recognition.
Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

On Unconstrained Quasi-Submodular Function Optimization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
A Meta-Top-Down Method for Large-Scale Hierarchical Classification.
IEEE Trans. Knowl. Data Eng., 2014

Emotional state classification from EEG data using machine learning approach.
Neurocomputing, 2014

Parallelized extreme learning machine ensemble based on min-max modular network.
Neurocomputing, 2014

An integrated Gaussian mixture model to estimate vigilance level based on EEG recordings.
Neurocomputing, 2014

EEG-based emotion recognition using discriminative graph regularized extreme learning machine.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

EOG-based drowsiness detection using convolutional neural networks.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Recognizing slow eye movement for driver fatigue detection with machine learning approach.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Online Object Tracking Based on Depth Image with Sparse Coding.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Saliency Level Set Evolution.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

EEG-based emotion classification using deep belief networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Multimodel emotion analysis in response to multimedia.
Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2014

Neural Network Based Bilingual Language Model Growing for Statistical Machine Translation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Multimodal emotion recognition using EEG and eye tracking data.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

EEG-based emotion recognition with manifold regularized extreme learning machine.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
EEG-based vigilance estimation using extreme learning machines.
Neurocomputing, 2013

A hierarchical particle swarm optimizer with latin sampling based memetic algorithm for numerical optimization.
Appl. Soft Comput., 2013

BCMI-NLP Labeled-Alignment-Based Entailment System for NTCIR-10 RITE-2 Task.
Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, 2013

Labeled Alignment for Recognizing Textual Entailment.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Marginalized Denoising Autoencoder via Graph Regularization for Domain Adaptation.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Detection of Driving Fatigue Based on Grip Force on Steering Wheel with Wavelet Transformation and Support Vector Machine.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Real-Time Head Detection with Kinect for Driving Fatigue Detection.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Converting Continuous-Space Language Models into N-Gram Language Models for Statistical Machine Translation.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Differential entropy feature for EEG-based vigilance estimation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

A robust principal component analysis algorithm for EEG-based vigilance estimation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

An Empirical Study on Word Segmentation for Chinese Machine Translation.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2013

2012
Multi-view gender classification using symmetry of facial images.
Neural Computing and Applications, 2012

Gender classification by combining clothing, hair and facial component classifiers.
Neurocomputing, 2012

Computational Intelligence in Biomedical Science and Engineering.
Comp. Int. and Neurosc., 2012

Towards a Semantic Annotation of English Television News - Building and Evaluating a Constraint Grammar FrameNet.
Proceedings of the 26th Pacific Asia Conference on Language, Information and Computation, 2012

Spell Checking for Chinese.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

Immune clonal algorithm based feature selection for epileptic EEG signal classification.
Proceedings of the 11th International Conference on Information Science, 2012

Online vigilance analysis based on electrooculography.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Parallel learning of large-scale multi-label classification problems with min-max modular LIBLINEAR.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

EEG-Based Fatigue Classification by Using Parallel Hidden Markov Model and Pattern Classifier Combination.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

EEG-Based Emotion Recognition in Listening Music by Using Support Vector Machine and Linear Dynamic System.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Online Vigilance Analysis Combining Video and Electrooculography Features.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Automated quality assessment of web pages from textual content.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2012

2011
Incorporating cellular sorting structure for better prediction of protein subcellular locations.
J. Exp. Theor. Artif. Intell., 2011

A support vector machine classifier with automatic confidence and its application to gender classification.
Neurocomputing, 2011

An Empirical Comparative Study on Two Large-Scale Hierarchical Text Classification Approaches.
Int. J. Comput. Proc. Oriental Lang., 2011

Redundancy Removal to Selectively Diversify Information Retrieval Results.
Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2011

GeoTime Retrieval through Passage-based Learning to Rank.
Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2011

Enhance Top-down method with Meta-Classification for Very Large-scale Hierarchical Classification.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Removing Unrelated Features Based on Linear Dynamical System for Motor-Imagery-Based Brain-Computer Interface.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

EEG-Based Emotion Recognition Using Frequency Domain Features and Support Vector Machines.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

A Sparse Common Spatial Pattern Algorithm for Brain-Computer Interface.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

An Integrated Hierarchical Gaussian Mixture Model to Estimate Vigilance Level Based on EEG Recordings.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Evidence of rapid gender processing revealed by ERSP.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

A novel method for EOG features extraction from the forehead.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Rank-SIFT: Learning to rank repeatable local interest points.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Time and space efficient spectral clustering via column sampling.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
A Unified Character-Based Tagging Framework for Chinese Word Segmentation.
ACM Trans. Asian Lang. Inf. Process., 2010

Modeling and Adaptive Control with Fuzzy Neural Networks - Selected Papers from the 6th International Symposium on Neural Networks.
Neurocomputing, 2010

Protein Subcellular Multi-Localization Prediction Using a Min-Max Modular Support Vector Machine.
Int. J. Neural Syst., 2010

An Empirical Study on Development Set Selection Strategy for Machine Translation Learning.
Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010

Spectral and Semidefinite Relaxation of the CLUHSIC Algorithm.
Proceedings of the SIAM International Conference on Data Mining, 2010

Multiple Strategies for NTCIR-8 Patent Mining at BCMI.
Proceedings of the 8th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2010

Pruning Training Samples Using a Supervised Clustering Algorithm.
Proceedings of the Advances in Neural Networks, 2010

Multi-view Gender Classification Using Hierarchical Classifiers Structure.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Age Classification Combining Contour and Texture Feature.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Adaptive Ensemble Learning Strategy Using an Assistant Classifier for Large-Scale Imbalanced Patent Categorization.
Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

A comparative study on two large-scale hierarchical text classification tasks' solutions.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Making Large-Scale Nyström Approximation Possible.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Selecting Optimal Orientations of Gabor Wavelet Filters for Facial Image Analysis.
Proceedings of the Image and Signal Processing, 4th International Conference, 2010

Flatten hierarchies for large-scale hierarchical text categorization.
Proceedings of the Fifth IEEE International Conference on Digital Information Management, 2010

Max-Margin Dictionary Learning for Multiclass Image Categorization.
Proceedings of the Computer Vision, 2010

Probabilistic models for supervised dictionary learning.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Online multiple instance learning with no regret.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Hedge Detection and Scope Finding by Sequence Labeling with Procedural Feature Selection.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning: Shared Task, 2010

Dependency Parser for Chinese Constituent Parsing.
Proceedings of the CIPS-SIGHAN Joint Conference on Chinese Language Processing, 2010

2009
Feature selection based on loss-margin of nearest neighbor classification.
Pattern Recognition, 2009

An adaptive image Euclidean distance.
Pattern Recognition, 2009

Combining Feature Selection with Extraction: Unsupervised Feature Selection Based on Principal Component Analysis.
International Journal on Artificial Intelligence Tools, 2009

Incorporating prior knowledge into learning by dividing training data.
Frontiers Comput. Sci. China, 2009

Computational prediction of novel non-coding RNAs in Arabidopsis thaliana.
BMC Bioinformatics, 2009

Extracting Keyphrases from Chinese News Articles Using TextRank and Query Log Knowledge.
Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, 2009

LogisticLDA: Regularizing Latent Dirichlet Allocation by Logistic Regression.
Proceedings of the 23rd Pacific Asia Conference on Language, Information and Computation, 2009

Incorporating Prior Knowledge into Task Decomposition for Large-Scale Patent Classification.
Proceedings of the Advances in Neural Networks, 2009

Module Combination based on Decision Tree in Min-max Modular Network.
Proceedings of the IJCCI 2009, 2009

Gender Classification Based on Support Vector Machine with Automatic Confidence.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
An empirical comparison of min-max-modular k -NN with different voting methods to large-scale text categorization.
Soft Comput., 2008

Multi-view gender classification based on local Gabor binary mapping pattern and support vector machines.
Proceedings of the International Joint Conference on Neural Networks, 2008

Large-scale patent classification with min-max modular support vector machines.
Proceedings of the International Joint Conference on Neural Networks, 2008

Cross Language Text Categorization Using a Bilingual Lexicon.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

Gender Classification by Combining Facial and Hair Information.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Classification of Protein Sequences Based on Word Segmentation Methods.
Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2008

String Kernels with Feature Selection for SVM Protein Classification.
Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2008

Semantic Similarity Definition over Gene Ontology by Further Mining of the Information Content.
Proceedings of the 6th Asia-Pacific Bioinformatics Conference, 2008

A Refinement Framework for Cross Language Text Categorization.
Proceedings of the Information Retrieval Technology, 2008

2007
A Min-Max Modular Network with Gaussian-Zero-Crossing Function.
Proceedings of the Trends in Neural Computation, 2007

Hierarchical fuzzy filter method for unsupervised feature selection.
Journal of Intelligent and Fuzzy Systems, 2007

Multi-View Gender Classification Using Multi-Resolution Local Binary Patterns and Support Vector Machines.
Int. J. Neural Syst., 2007

Feature Selection for Identifying Critical Variables of Principal Components Based on K-Nearest Neighbor Rule.
Proceedings of the Advances in Visual Information Systems, 9th International Conference, 2007

Cross-Lingual Document Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

Incremental Learning of Support Vector Machines by Classifier Combining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2007

A Probabilistic Approach to Feature Selection for Multi-class Text Categorization.
Proceedings of the Advances in Neural Networks, 2007

A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines.
Proceedings of the Advances in Neural Networks, 2007

Learning Concepts from Large-Scale Data Sets by Pairwise Coupling with Probabilistic Outputs.
Proceedings of the International Joint Conference on Neural Networks, 2007

Learning Imbalanced Data Sets with a Min-Max Modular Support Vector Machine.
Proceedings of the International Joint Conference on Neural Networks, 2007

Semi-Supervised Clustering for Vigilance Analysis Based on EEG.
Proceedings of the International Joint Conference on Neural Networks, 2007

Incorporating Domain Knowledge into a Min-Max Modular Support Vector Machine for Protein Subcellular Localization.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

A Framework for Multi-view Gender Classification.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

Person-Specific SIFT Features for Face Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Effective Tag Set Selection in Chinese Word Segmentation via Conditional Random Field Modeling.
Proceedings of the 20st Pacific Asia Conference on Language, Information and Computation, 2006

A Modular Reduction Method for k-NN Algorithm with Self-recombination Learning.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Prediction of Protein Subcellular Multi-locations with a Min-Max Modular Support Vector Machine.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Gender Recognition Using a Min-Max Modular Support Vector Machine with Equal Clustering.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A New Supervised Clustering Algorithm Based on Min-Max Modular Network with Gaussian-Zero-Crossing Functions.
Proceedings of the International Joint Conference on Neural Networks, 2006

Efficient Classification of Multi-label and Imbalanced Data using Min-Max Modular Classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2006

A Hybrid Method of Unsupervised Feature Selection Based on Ranking.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Fast Learning for Statistical Face Detection.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

A Comparative Study on Feature Extraction from Protein Sequences for Subcellular Localization Prediction.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

2005
Improvement on Response Performance of Min-Max Modular Classifier by Symmetric Module Selection.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Structure Pruning Strategies for Min-Max Modular Network.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A Hierarchical and Parallel Method for Training Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Task Decomposition Using Geometric Relation for Min-Max Modular SVMs.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

A General Procedure for Combining Binary Classifiers and Its Performance Analysis.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Gender Recognition Using a Min-Max Modular Support Vector Machine.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

An Algorithm for Pruning Redundant Modules in Min-Max Modular Network with GZC Function.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Multi-view Face Recognition with Min-Max Modular SVMs.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

Fast Recognition of Multi-View Faces with Feature Selection.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Extracting Features from Protein Sequences Using Chinese Segmentation Techniques for Subcellular Localization.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2004
Massively parallel classification of single-trial EEG signals using a min-max Modular neural network.
IEEE Trans. Biomed. Engineering, 2004

Analysis of Fault Tolerance of a Combining Classifier.
Proceedings of the Advances in Neural Networks, 2004

A Cascade Method for Reducing Training Time and the Number of Support Vectors.
Proceedings of the Advances in Neural Networks, 2004

An Adjusted Gaussian Skin-Color Model Based on Principal Component Analysis.
Proceedings of the Advances in Neural Networks, 2004

Fault Diagnosis for Industrial Images Using a Min-Max Modular Neural Network.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

Feature Selection for Fast Image Classification with Support Vector Machines.
Proceedings of the Neural Information Processing, 11th International Conference, 2004

A Modular k-Nearest Neighbor Classification Method for Massively Parallel Text Categorization.
Proceedings of the Computational and Information Science, First International Symposium, 2004

2003
Converting general nonlinear programming problems into separable programming problems with feedforward neural networks.
Neural Networks, 2003

Efficient Part-of-Speech Tagging with a Min-Max Modular Neural-Network Model.
Appl. Intell., 2003

2002
Part of speech tagging with min-max modular neural networks.
Systems and Computers in Japan, 2002

2001
Reading auditory discrimination behaviour of freely moving rats from hippocampal EEG.
Neurocomputing, 2001

On-Line Error Detection of Annotated Corpus Using Modular Neural Networks.
Proceedings of the Artificial Neural Networks, 2001

Massively Parallel Classification of EEG Signals Using Min-Max Modular Neural Networks.
Proceedings of the Artificial Neural Networks, 2001

2000
Emergence of Learning: An Approach to Coping with NP-Complete Problems in Learning.
IJCNN (4), 2000

1999
Inverting feedforward neural networks using linear and nonlinear programming.
IEEE Trans. Neural Networks, 1999

Task decomposition and module combination based on class relations: a modular neural network for pattern classification.
IEEE Trans. Neural Networks, 1999

1998
Decomposing and Parallel Learning of Large-Scale Pattern Recognition Problems using Min-Max Modular Neural Network.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

Decomposition and Parallel Learning of Imbalanced Classification Problems by Min-Max Modular Neural Network.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Task Decomposition Based on Class Relations: A Modular Neural Network Architecture for Pattern Classification.
Proceedings of the Biological and Artificial Computation: From Neuroscience to Technology, 1997


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