Bernard Chen

According to our database1, Bernard Chen authored at least 29 papers between 2005 and 2017.

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Bibliography

2017
Discovering genomic islands in microbial genomes using a genetic algorithm.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2016

Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2016

2015
Wineinformatics: Uncork Napa's Cabernet Sauvignon by Association Rule Based Classification.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
Wineinformatics: Applying Data Mining on Wine Sensory Reviews Processed by the Computational Wine Wheel.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Variable-Length Protein Sequence Motif Extraction Using Hierarchically-Clustered Hidden Markov Models.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Protein Local Tertiary Structure Prediction Using the Adaptively-Branching FGK-DF Model.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Determining Potential Yeast Longevity Genes via PPI Networks and Microarray Data Clustering Analysis.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

2012
Interval-Valued Centroids in K-Means Algorithms.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

2011
Sparse nonnegative matrix factorization for protein sequence motif discovery.
Expert Syst. Appl., 2011

2010
Using Hybrid Hierarchical K-means (HHK) clustering algorithm for protein sequence motif Super-Rule-Tree (SRT) structure construction.
IJDMB, 2010

Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images.
BMC Bioinformatics, 2010

Extraction of Protein Sequence Motifs Information by Bi-Clustering Algorithm.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

Protein Sequence Motif Information Generated by Fuzzy - Hybrid Hierarchical K-means Clustering Algorithm.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

Clustering using Positional Association Rules Algorithm on Protein Sequence Motifs.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010

2009
Novel efficient granular computing models for protein sequence motifs and structure information discovery.
I. J. Computational Biology and Drug Design, 2009

Protein local 3D structure prediction by Super Granule Support Vector Machines (Super GSVM).
BMC Bioinformatics, 2009

Soft Tissue Deformation and Optimized Data Structures for Mass Spring Methods.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009

Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009

2008
Rule Extraction from SVM for Protein Structure Prediction.
Proceedings of the Rule Extraction from Support Vector Machines, 2008

Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction.
I. J. Functional Informatics and Personalised Medicine, 2008

Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007
Statistical Estimate for the Size of the Protein Structural Vocabulary.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007

Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006

2005
Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005


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