Xue-wen Chen

According to our database1, Xue-wen Chen
  • authored at least 78 papers between 2003 and 2017.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2017
Multi-channel multi-model feature learning for face recognition.
Pattern Recognition Letters, 2017

2016
Analyzing and learning sparse and scale-free networks using Gaussian graphical models.
I. J. Data Science and Analytics, 2016

GOAL: the comprehensive gene ontology analysis layer.
SCIENCE CHINA Information Sciences, 2016

Latent Topic-Semantic Indexing Based Automatic Text Summarization.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

2015
A New Semantic Functional Similarity over Gene Ontology.
IEEE/ACM Trans. Comput. Biology Bioinform., 2015

Learning Multi-channel Deep Feature Representations for Face Recognition.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Unsupervised Learning and Image Classification in High Performance Computing Cluster.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Ontology-Based Visualization of Healthcare Data Mined from Online Healthcare Forums.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

2014
Kernelized pyramid nearest-neighbor search for object categorization.
Mach. Vis. Appl., 2014

Mining Adverse Drug Reactions from Online Healthcare Forums using Hidden Markov Model.
BMC Med. Inf. & Decision Making, 2014

Editorial: Special issue on hybrid intelligent methods for health technologies.
Appl. Soft Comput., 2014

Editorial: Special issue on hybrid intelligent methods for health technologies.
Appl. Soft Comput., 2014

Large-Scale Deep Belief Nets With MapReduce.
IEEE Access, 2014

Big Data Deep Learning: Challenges and Perspectives.
IEEE Access, 2014

Pixel-to-Model background modeling in crowded scenes.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

A windowed dynamic time warping approach for 3D continuous hand gesture recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Pseudo labels for imbalanced multi-label learning.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

Learning sparse and scale-free networks.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

A novel semi-supervised learning approach to analyzing metagenomic reads.
Proceedings of the 5th ACM Conference on Bioinformatics, 2014

2013
iLike: Bridging the Semantic Gap in Vertical Image Search by Integrating Text and Visual Features.
IEEE Trans. Knowl. Data Eng., 2013

Sparse representation and learning in visual recognition: Theory and applications.
Signal Processing, 2013

Limiting the Neighborhood: De-Small-World Network for Outbreak Prevention
CoRR, 2013

Content-based assessment of the credibility of online healthcare information.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013

Evaluating topology-based metrics for GO term similarity measures.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012
Large-scale prediction of adverse drug reactions using chemical, biological, and phenotypic properties of drugs.
JAMIA, 2012

Genetic studies of complex human diseases: Characterizing SNP-disease associations using Bayesian networks.
BMC Systems Biology, 2012

IPKB: a digital library for invertebrate paleontology.
Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

Mining Adverse Drug Side-Effects from Online Medical Forums.
Proceedings of the 2012 IEEE Second International Conference on Healthcare Informatics, 2012

Identification of transposable elements of the giant panda (Ailuropoda melanoleuca) genome.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2012

2011
On Position-Specific Scoring Matrix for Protein Function Prediction.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions.
Nucleic Acids Research, 2011

FEPI-MB: identifying SNPs-disease association using a Markov Blanket-based approach.
BMC Bioinformatics, 2011

Healthcare Information Networks: Discovery and Evaluation.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Cephalometric Landmark Tracing Using Deformable Templates.
Proceedings of the 2011 IEEE International Conference on Healthcare Informatics, 2011

Functional Gene Detection and Clustering from Seed Gene Sets.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011

2010
Combating the Small Sample Class Imbalance Problem Using Feature Selection.
IEEE Trans. Knowl. Data Eng., 2010

Cross-platform microarray data integration using the Normalised Linear Transform.
IJDMB, 2010

A Markov blanket-based method for detecting causal SNPs in GWAS.
BMC Bioinformatics, 2010

iLike: integrating visual and textual features for vertical search.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Mr.KNN: soft relevance for multi-label classification.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Detecting SNPs-disease associations using Bayesian networks.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
Survival Prediction and Gene Identification with Penalized Global AUC Maximization.
Journal of Computational Biology, 2009

Editorial.
IJDMB, 2009

Assessing reliability of protein-protein interactions by integrative analysis of data in model organisms.
BMC Bioinformatics, 2009

Identification of genes involved in the same pathways using a Hidden Markov Model-based approach.
Bioinformatics, 2009

Knowledge-guided inference of domain-domain interactions from incomplete protein-protein interaction networks.
Bioinformatics, 2009

Sequence-based prediction of protein interaction sites with an integrative method.
Bioinformatics, 2009

Learning to rank with a novel kernel perceptron method.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

DASSO-MB: Detection of Epistatic Interactions in Genome-Wide Association Studies Using Markov Blankets.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008
Improving Bayesian Network Structure Learning with Mutual Information-Based Node Ordering in the K2 Algorithm.
IEEE Trans. Knowl. Data Eng., 2008

A Bayesian approach to support vector machines for the binary classification.
Neurocomputing, 2008

Large-scale Protein-Protein Interaction prediction using novel kernel methods.
IJDMB, 2008

FAST: a roc-based feature selection metric for small samples and imbalanced data classification problems.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Gene Network Learning Using Regulated Dynamic Bayesian Network Methods.
Proceedings of the Seventh International Conference on Machine Learning and Applications, 2008

Protein-Protein Interaction Prediction and Assessment from Model Organisms.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

Integrative Neural Network Approach for Protein Interaction Prediction from Heterogeneous Data.
Proceedings of the Advanced Data Mining and Applications, 4th International Conference, 2008

2007
Data-Dependent Kernel Machines for Microarray Data Classification.
IEEE/ACM Trans. Comput. Biology Bioinform., 2007

Machine Learning and Its Applications to Biology.
PLoS Computational Biology, 2007

Structural Risk Minimisation based gene expression profiling analysis.
IJBRA, 2007

Normalized Linear Transform for Cross-Platform Microarray Data Integration.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Enhanced recursive feature elimination.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Minimum reference set based feature selection for small sample classifications.
Proceedings of the Machine Learning, 2007

Human Disease-Gene Classification with Integrative Sequence-Based and Topological Features of Protein-Protein Interaction Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2007

2006
Multi-class feature selection for texture classification.
Pattern Recognition Letters, 2006

Margin-based wrapper methods for gene identification using microarray.
Neurocomputing, 2006

Domain-Based Predictive Models for Protein-Protein Interaction Prediction.
EURASIP J. Adv. Sig. Proc., 2006

Advanced Signal Processing Techniques for Bioinformatics.
EURASIP J. Adv. Sig. Proc., 2006

Kernel-based distance metric learning for microarray data classification.
BMC Bioinformatics, 2006

An effective structure learning method for constructing gene networks.
Bioinformatics, 2006

Comparison of One-Class SVM and Two-Class SVM for Fold Recognition.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
SMO-based pruning methods for sparse least squares support vector machines.
IEEE Trans. Neural Networks, 2005

Prediction of protein-protein interactions using random decision forest framework.
Bioinformatics, 2005

Bayesian neural network approaches to ovarian cancer identification from high-resolution mass spectrometry data.
Proceedings of the Proceedings Thirteenth International Conference on Intelligent Systems for Molecular Biology 2005, 2005

Optimized Kernel Machine for Cancer Classification Using Gene Expression Data.
Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2005

2004
Locally optimal search method for identifying genes from microarray data.
Proceedings of the 8th International Conference on Control, 2004

2003
Facial expression recognition: A clustering-based approach.
Pattern Recognition Letters, 2003

New training strategies for RBF neural networks for X-ray agricultural product inspection.
Pattern Recognition, 2003

Radial basis function neural networks for nonlinear Fisher discrimination and Neyman-Pearson classification.
Neural Networks, 2003


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