Bernard Chen

Publication Activity (10 Years)

Years Active: 2005-2020
Publications (10 Years): 11

Top Topics

Applying Data Mining

Classification Algorithm

Network Intrusion

Top Venues

Trans. Mach. Learn. Data Min.

Publications

James Palmer, Victor S. Sheng, Travis Atkison, Bernard Chen
Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics. Big Data Min. Anal. 3 (1) (2020)
Bernard Chen, David Jones, Mustafa Tunc, Kristen Chipolla, Jorge Beltrán
Weather Impacts on Wine, A BiMax examination of Napa Cabernet in 2011 and 2012 Vintage. ICDM (2019)
Travis Atkison, Stanislav Ponomarev, Randy K. Smith, Bernard Chen
Feature Extraction Optimization for Network Intrusion Detection in Control System Networks. Int. J. Netw. Secur. 20 (5) (2018)
Bernard Chen
Editorial. Trans. Mach. Learn. Data Min. 11 (1) (2018)
Bernard Chen, Krizia Houston Buck, Caleb Lawrence, Christopher Moore, Jeremy Yeatts, Travis Atkison
Granular computing in wineinformatics. ICNC-FSKD (2017)
Bernard Chen, Hai Le, Travis Atkison, Dongsheng Che
A Wineinformatics Study for White-box Classification Algorithms to Understand and Evaluate Wine Judges. Trans. Mach. Learn. Data Min. 10 (1) (2017)
Bernard Chen, Clifford A. Tawiah, James Palmer, Recep Erol
Multi-class wine grades predictions with hierarchical support vector machines. ICNC-FSKD (2017)
Dongsheng Che, Pingsheng Gao, Pu Tian, Bernard Chen
Discovering genomic islands in microbial genomes using a genetic algorithm. ICNC-FSKD (2017)
Bernard Chen, Christopher Rhodes, Alexander Yu, Valentin Velchev
The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics. ICDM (2016)
Bernard Chen, Hai Le, Christopher Rhodes, Dongsheng Che
Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms. ICDM (2016)
Bernard Chen, Valentin Velchev, Bryce Nicholson, Joey Garrison, Moani Iwamura, Ryan Battisto
Wineinformatics: Uncork Napa's Cabernet Sauvignon by Association Rule Based Classification. ICMLA (2015)
Bernard Chen, Christopher Rhodes, Aaron Crawford, Lorri Hambuchen
Wineinformatics: Applying Data Mining on Wine Sensory Reviews Processed by the Computational Wine Wheel. ICDM Workshops (2014)
Bernard Chen, Roshan Doolabh, Fusheng Tang
Determining Potential Yeast Longevity Genes via PPI Networks and Microarray Data Clustering Analysis. ICMLA (1) (2013)
Cody Hudson, Bernard Chen
Variable-Length Protein Sequence Motif Extraction Using Hierarchically-Clustered Hidden Markov Models. ICMLA (1) (2013)
Bernard Chen, Cody Hudson, Aaron Crawford, Minwoo Kim
Protein Local Tertiary Structure Prediction Using the Adaptively-Branching FGK-DF Model. ICMLA (1) (2013)
Benjamine Nordin, Chenyi Hu, Bernard Chen, Victor S. Sheng
Interval-Valued Centroids in K-Means Algorithms. ICMLA (1) (2012)
Wooyoung Kim, Bernard Chen, Jingu Kim, Yi Pan, Haesun Park
Sparse nonnegative matrix factorization for protein sequence motif discovery. Expert Syst. Appl. 38 (10) (2011)
Sinan Kockara, Mutlu Mete, Bernard Chen, Kemal Aydin
Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images. BMC Bioinform. 11 (S-6) (2010)
Bernard Chen, Michael Miller, Timothy Montgomery, Terrance Griffin
Clustering using Positional Association Rules Algorithm on Protein Sequence Motifs. BIOCOMP (2010)
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan
Using Hybrid Hierarchical K-means (HHK) clustering algorithm for protein sequence motif Super-Rule-Tree (SRT) structure construction. Int. J. Data Min. Bioinform. 4 (3) (2010)
Bernard Chen, Christopher Rhodes, Christopher Kline, Luke Irvin
Protein Sequence Motif Information Generated by Fuzzy - Hybrid Hierarchical K-means Clustering Algorithm. BIOCOMP (2010)
Vincent Yip, Bernard Chen, Sinan Kockara
Extraction of Protein Sequence Motifs Information by Bi-Clustering Algorithm. BIOCOMP (2010)
Bernard Chen, Matthew Johnson
Protein local 3D structure prediction by Super Granule Support Vector Machines (Super GSVM). BMC Bioinform. 10 (S-11) (2009)
Bernard Chen, Sinan Kockara
Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs. BIBE (2009)
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
Novel efficient granular computing models for protein sequence motifs and structure information discovery. Int. J. Comput. Biol. Drug Des. 2 (2) (2009)
Tansel Halic, Sinan Kockara, Coskun Bayrak, Richard Rowe, Bernard Chen
Soft Tissue Deformation and Optimized Data Structures for Mass Spring Methods. BIBE (2009)
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction. Int. J. Funct. Informatics Pers. Medicine 1 (1) (2008)
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm. BIBM (2008)
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction. BIBE (2007)
Xuezheng Fu, Bernard Chen, Yi Pan, Robert W. Harrison
Statistical Estimate for the Size of the Protein Structural Vocabulary. ISBRA (2007)
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction. CIBCB (2007)
Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery. BIBE (2006)
Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering. GrC (2006)
Jieyue He, Bernard Chen, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan
Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction. CSB Workshops (2005)
Bernard Chen, Robert W. Harrison, Yi Pan, Phang C. Tai
Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis. CSB Workshops (2005)