Bernard Chen

37 papers A* 3C 6Misc 1Journal 10Unranked 15
YearRankTypeTitle / Venue / Authors
2023 — book
Wineinformatics - A New Data Science Application
Bernard Chen
2020 J jnl
Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics.
Big Data Min. Anal.
James Palmer, Victor S. Sheng, Travis Atkison, Bernard Chen
2019 A* conf
Weather Impacts on Wine, A BiMax examination of Napa Cabernet in 2011 and 2012 Vintage.
ICDM
Bernard Chen, David Jones, Mustafa Tunc, Kristen Chipolla, Jorge Beltrán
2018 J jnl
Editorial.
Trans. Mach. Learn. Data Min.
Bernard Chen
2018 J jnl
Feature Extraction Optimization for Network Intrusion Detection in Control System Networks.
Int. J. Netw. Secur.
Travis Atkison, Stanislav Ponomarev, Randy K. Smith, Bernard Chen
2017 J jnl
A Wineinformatics Study for White-box Classification Algorithms to Understand and Evaluate Wine Judges.
Trans. Mach. Learn. Data Min.
Bernard Chen, Hai Le, Travis Atkison, Dongsheng Che
2017 — conf
Discovering genomic islands in microbial genomes using a genetic algorithm.
ICNC-FSKD
Dongsheng Che, Pingsheng Gao, Pu Tian, Bernard Chen
2017 — conf
Granular computing in wineinformatics.
ICNC-FSKD
Bernard Chen, Krizia Houston Buck, Caleb Lawrence, Christopher Moore, Jeremy Yeatts, Travis Atkison
2017 — conf
Multi-class wine grades predictions with hierarchical support vector machines.
ICNC-FSKD
Bernard Chen, Clifford A. Tawiah, James Palmer, Recep Erol
2016 A* conf
The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics.
ICDM
Bernard Chen, Christopher Rhodes, Alexander Yu, Valentin Velchev
2016 A* conf
Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms.
ICDM
Bernard Chen, Hai Le, Christopher Rhodes, Dongsheng Che
2015 C conf
Wineinformatics: Uncork Napa's Cabernet Sauvignon by Association Rule Based Classification.
ICMLA
Bernard Chen, Valentin Velchev, Bryce Nicholson, Joey Garrison, Moani Iwamura, Ryan Battisto
2014 — conf
Wineinformatics: Applying Data Mining on Wine Sensory Reviews Processed by the Computational Wine Wheel.
ICDM Workshops
Bernard Chen, Christopher Rhodes, Aaron Crawford, Lorri Hambuchen
2013 — conf
Determining Potential Yeast Longevity Genes via PPI Networks and Microarray Data Clustering Analysis.
ICMLA (1)
Bernard Chen, Roshan Doolabh, Fusheng Tang
2013 — conf
Protein Local Tertiary Structure Prediction Using the Adaptively-Branching FGK-DF Model.
ICMLA (1)
Bernard Chen, Cody Hudson, Aaron Crawford, Minwoo Kim
2013 — conf
Variable-Length Protein Sequence Motif Extraction Using Hierarchically-Clustered Hidden Markov Models.
ICMLA (1)
Cody Hudson, Bernard Chen
2012 — conf
Interval-Valued Centroids in K-Means Algorithms.
ICMLA (1)
Benjamine Nordin, Chenyi Hu, Bernard Chen, Victor S. Sheng
2011 J jnl
Sparse nonnegative matrix factorization for protein sequence motif discovery.
Expert Syst. Appl.
Wooyoung Kim, Bernard Chen, Jingu Kim, Yi Pan, Haesun Park
2010 J jnl
Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images.
BMC Bioinform.
Sinan Kockara, Mutlu Mete, Bernard Chen, Kemal Aydin
2010 — conf
Clustering using Positional Association Rules Algorithm on Protein Sequence Motifs.
BIOCOMP
Bernard Chen, Michael Miller, Timothy Montgomery, Terrance Griffin
2010 — conf
Extraction of Protein Sequence Motifs Information by Bi-Clustering Algorithm.
BIOCOMP
Vincent Yip, Bernard Chen, Sinan Kockara
2010 — conf
Protein Sequence Motif Information Generated by Fuzzy - Hybrid Hierarchical K-means Clustering Algorithm.
BIOCOMP
Bernard Chen, Christopher Rhodes, Christopher Kline, Luke Irvin
2010 J jnl
Using Hybrid Hierarchical K-means (HHK) clustering algorithm for protein sequence motif Super-Rule-Tree (SRT) structure construction.
Int. J. Data Min. Bioinform.
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan
2009 C conf
Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs.
BIBE
Bernard Chen, Sinan Kockara
2009 J jnl
Novel efficient granular computing models for protein sequence motifs and structure information discovery.
Int. J. Comput. Biol. Drug Des.
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2009 J jnl
Protein local 3D structure prediction by Super Granule Support Vector Machines (Super GSVM).
BMC Bioinform.
Bernard Chen, Matthew Johnson
2009 C conf
Soft Tissue Deformation and Optimized Data Structures for Mass Spring Methods.
BIBE
Tansel Halic, Sinan Kockara, Coskun Bayrak, Richard Rowe, Bernard Chen
2008 J jnl
Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction.
Int. J. Funct. Informatics Pers. Medicine
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2008 — conf
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm.
BIBM
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan
2008 — ch.
Rule Extraction from SVM for Protein Structure Prediction.
Rule Extraction from Support Vector Machines
Jieyue He, Hae-Jin Hu, Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
2007 — conf
Statistical Estimate for the Size of the Protein Structural Vocabulary.
ISBRA
Xuezheng Fu, Bernard Chen, Yi Pan, Robert W. Harrison
2007 C conf
Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction.
CIBCB
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2007 C conf
Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction.
BIBE
Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2006 C conf
FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery.
BIBE
Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
2006 Misc conf
Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering.
GrC
Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
2005 — conf
Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis.
CSB Workshops
Bernard Chen, Robert W. Harrison, Yi Pan, Phang C. Tai
2005 — conf
Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction.
CSB Workshops
Jieyue He, Bernard Chen, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan