Bernard Chen
Affiliations:- University of Central Arkansas, Department of Computer Science, Conway, AR, USA
- Georgia State University, Department of Computer Science, Atlanta, GA, USA (former)
According to our database1,
Bernard Chen
authored at least 38 papers
between 2005 and 2023.
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Bibliography
2023
Springer Briefs in Computer Science, Springer, ISBN: 978-981-19-7368-0, 2023
2020
Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics.
Big Data Min. Anal., 2020
2019
Weather Impacts on Wine, A BiMax examination of Napa Cabernet in 2011 and 2012 Vintage.
Proceedings of the Advances in Data Mining, 2019
2018
Feature Extraction Optimization for Network Intrusion Detection in Control System Networks.
Int. J. Netw. Secur., 2018
2017
A Wineinformatics Study for White-box Classification Algorithms to Understand and Evaluate Wine Judges.
Trans. Mach. Learn. Data Min., 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
Proceedings of the 13th International Conference on Natural Computation, 2017
2016
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
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
2011
Expert Syst. Appl., 2011
2010
Using Hybrid Hierarchical K-means (HHK) clustering algorithm for protein sequence motif Super-Rule-Tree (SRT) structure construction.
Int. J. Data Min. Bioinform., 2010
Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images.
BMC Bioinform., 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.
Int. J. Comput. Biol. Drug Des., 2009
Protein local 3D structure prediction by Super Granule Support Vector Machines (Super GSVM).
BMC Bioinform., 2009
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009
2008
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.
Int. J. Funct. Informatics Pers. 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
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
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