Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis. - Bernard Chen 001; Robert W. Harrison; Yi Pan 001; Phang C. Tai (CSB Workshops, 2005)

Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction. - Jieyue He; Bernard Chen 001; Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yisheng Dong; Yi Pan 001 (CSB Workshops, 2005)

FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery. - Bernard Chen 001; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (BIBE, 2006)

Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering. - Bernard Chen 001; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (GrC, 2006)

Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction. - Bernard Chen 001; Stephen Pellicer; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (BIBE, 2007)

Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction. - Bernard Chen 001; Stephen Pellicer; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (CIBCB, 2007)

Statistical Estimate for the Size of the Protein Structural Vocabulary. - Xuezheng Fu; Bernard Chen 001; Yi Pan 001; Robert W. Harrison (ISBRA, 2007)

Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm. - Bernard Chen 001; Jieyue He; Stephen Pellicer; Yi Pan 001 (BIBM, 2008)

Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction. - Bernard Chen 001; Stephen Pellicer; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (Int. J. Funct. Informatics Pers. Medicine, 2008)

Rule Extraction from SVM for Protein Structure Prediction. - Jieyue He; Hae-Jin Hu; Bernard Chen 001; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (Rule Extraction from Support Vector Machines, 2008)

Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs. - Bernard Chen 001; Sinan Kockara (BIBE, 2009)

Soft Tissue Deformation and Optimized Data Structures for Mass Spring Methods. - Tansel Halic; Sinan Kockara; Coskun Bayrak; Richard Rowe; Bernard Chen 001 (BIBE, 2009)

Protein local 3D structure prediction by Super Granule Support Vector Machines (Super GSVM). - Bernard Chen 001; Matthew Johnson (BMC Bioinform., 2009)

Novel efficient granular computing models for protein sequence motifs and structure information discovery. - Bernard Chen 001; Stephen Pellicer; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (Int. J. Comput. Biol. Drug Des., 2009)

Clustering using Positional Association Rules Algorithm on Protein Sequence Motifs. - Bernard Chen 001; Michael Miller; Timothy Montgomery; Terrance Griffin (BIOCOMP, 2010)

Protein Sequence Motif Information Generated by Fuzzy - Hybrid Hierarchical K-means Clustering Algorithm. - Bernard Chen 001; Christopher Rhodes; Christopher Kline; Luke Irvin (BIOCOMP, 2010)

Extraction of Protein Sequence Motifs Information by Bi-Clustering Algorithm. - Vincent Yip; Bernard Chen 001; Sinan Kockara (BIOCOMP, 2010)

Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images. - Sinan Kockara; Mutlu Mete; Bernard Chen 001; Kemal Aydin (BMC Bioinform., 2010)

Using Hybrid Hierarchical K-means (HHK) clustering algorithm for protein sequence motif Super-Rule-Tree (SRT) structure construction. - Bernard Chen 001; Jieyue He; Stephen Pellicer; Yi Pan 001 (Int. J. Data Min. Bioinform., 2010)

Sparse nonnegative matrix factorization for protein sequence motif discovery. - Wooyoung Kim; Bernard Chen 001; Jingu Kim; Yi Pan 001; Haesun Park (Expert Syst. Appl., 2011)

Interval-Valued Centroids in K-Means Algorithms. - Benjamine Nordin; Chenyi Hu; Bernard Chen 001; Victor S. Sheng (ICMLA (1), 2012)

Determining Potential Yeast Longevity Genes via PPI Networks and Microarray Data Clustering Analysis. - Bernard Chen 001; Roshan Doolabh; Fusheng Tang (ICMLA (1), 2013)

Protein Local Tertiary Structure Prediction Using the Adaptively-Branching FGK-DF Model. - Bernard Chen 001; Cody Hudson; Aaron Crawford; Minwoo Kim (ICMLA (1), 2013)

Variable-Length Protein Sequence Motif Extraction Using Hierarchically-Clustered Hidden Markov Models. - Cody Hudson; Bernard Chen 001 (ICMLA (1), 2013)

Wineinformatics: Applying Data Mining on Wine Sensory Reviews Processed by the Computational Wine Wheel. - Bernard Chen 001; Christopher Rhodes; Aaron Crawford; Lorri Hambuchen (ICDM Workshops, 2014)

Wineinformatics: Uncork Napa's Cabernet Sauvignon by Association Rule Based Classification. - Bernard Chen 001; Valentin Velchev; Bryce Nicholson; Joey Garrison; Moani Iwamura; Ryan Battisto (ICMLA, 2015)

Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms. - Bernard Chen 001; Hai Le; Christopher Rhodes; Dongsheng Che (ICDM, 2016)

The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics. - Bernard Chen 001; Christopher Rhodes; Alexander Yu; Valentin Velchev (ICDM, 2016)

Discovering genomic islands in microbial genomes using a genetic algorithm. - Dongsheng Che; Pingsheng Gao; Pu Tian; Bernard Chen 001 (ICNC-FSKD, 2017)

Granular computing in wineinformatics. - Bernard Chen 001; Krizia Houston Buck; Caleb Lawrence; Christopher Moore; Jeremy Yeatts; Travis Atkison (ICNC-FSKD, 2017)

Multi-class wine grades predictions with hierarchical support vector machines. - Bernard Chen 001; Clifford A. Tawiah; James Palmer 004; Recep Erol (ICNC-FSKD, 2017)

A Wineinformatics Study for White-box Classification Algorithms to Understand and Evaluate Wine Judges. - Bernard Chen 001; Hai Le; Travis Atkison; Dongsheng Che (Trans. Mach. Learn. Data Min., 2017)

Feature Extraction Optimization for Network Intrusion Detection in Control System Networks. - Travis Atkison; Stanislav Ponomarev; Randy K. Smith; Bernard Chen 001 (Int. J. Netw. Secur., 2018)

Editorial. - Bernard Chen 001 (Trans. Mach. Learn. Data Min., 2018)

Weather Impacts on Wine, A BiMax examination of Napa Cabernet in 2011 and 2012 Vintage. - Bernard Chen 001; David Jones; Mustafa Tunc; Kristen Chipolla; Jorge Beltrán (ICDM, 2019)

Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics. - James Palmer 004; Victor S. Sheng; Travis Atkison; Bernard Chen 001 (Big Data Min. Anal., 2020)

Wineinformatics: 21st Century Bordeaux Wines Dataset. - Bernard Chen 001 (IEEE DataPort, 2020)

Wineinformatics - A New Data Science Application - Bernard Chen 001 (Springer, 2023)