Bernard Chen

发表

PARAMETER-FREE MULTI-LEVEL FUZZY C-MEANS CLUSTERING FOR UNSUPERVISED STRUCTURE DETECTION IN HISTOLOGICAL IMAGES

Mutlu Mete, Bernard Chen, Sinan Kockara, 2010 .

Weather Impacts on Wine, A BiMax examination of Napa Cabernet in 2011 and 2012 Vintage

David Jones, Bernard Chen, Mustafa Tunc, 2019, ICDM.

Novel hybrid hierarchical-K-means clustering method (H-K-means) for microarray analysis

Yi Pan, Robert W. Harrison, Bernard Chen, 2005, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05).

48 Differences Between Good and Bad Video Games: Game Playability Principles (PLAY) For Designing Highly Ranked Video Games

Bernard Chen, Heather Desurvire, 2004 .

Protein Sequence Motif Information Generated by Fuzzy - Hybrid Hierarchical K-means Clustering Algorithm

Bernard Chen, Christopher Kline, Christopher Rhodes, 2010, BIOCOMP.

Protein Local Tertiary Structure Prediction Using the Adaptively-Branching FGK-DF Model

Bernard Chen, Minwoo Kim, Aaron Crawford, 2013, 2013 12th International Conference on Machine Learning and Applications.

Mining Positional Association Super-Rules on Fixed-Size Protein Sequence Motifs

Bernard Chen, Sinan Kockara, S. Kockara, 2009, 2009 Ninth IEEE International Conference on Bioinformatics and BioEngineering.

Granular computing in wineinformatics

Travis Atkison, Bernard Chen, Christopher Moore, 2017, 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

A Wineinformatics Study for White-box Classification Algorithms to Understand and Evaluate Wine Judges

Travis Atkison, Dongsheng Che, Bernard Chen, 2017, Trans. Mach. Learn. Data Min..

Protein local 3D structure prediction by Super Granule Support Vector Machines (Super GSVM)

Matthew Johnson, Bernard Chen, Bernard Chen, 2009, BMC Bioinformatics.

The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics

Bernard Chen, Christopher Rhodes, Alexander Yu, 2016, ICDM.

Rule clustering and super-rule generation for transmembrane segments prediction

Yi Pan, Robert W. Harrison, Yisheng Dong, 2005, 2005 IEEE Computational Systems Bioinformatics Conference - Workshops (CSBW'05).

Determining Potential Yeast Longevity Genes via PPI Networks and Microarray Data Clustering Analysis

Bernard Chen, Roshan Doolabh, Fusheng Tang, 2013, 2013 12th International Conference on Machine Learning and Applications.

Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm

Yi Pan, Jieyue He, Bernard Chen, 2008, 2008 IEEE International Conference on Bioinformatics and Biomedicine.

Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction

Yi Pan, Robert W. Harrison, Bernard Chen, 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

Rule Extraction from SVM for Protein Structure Prediction

Yi Pan, Robert W. Harrison, Jieyue He, 2008, Rule Extraction from Support Vector Machines.

Soft Tissue Deformation and Optimized Data Structures for Mass Spring Methods

Coskun Bayrak, Richard Rowe, Bernard Chen, 2009, 2009 Ninth IEEE International Conference on Bioinformatics and BioEngineering.

A Skeletal Prototype of Surgical Arm Based on Dual-Triangular Mechanism

Chao Chen, Bernard Chen, Shao Tong Liu, 2016 .

Statistical Estimate for the Size of the Protein Structural Vocabulary

Yi Pan, Robert W. Harrison, Xuezheng Fu, 2007, ISBRA.

Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms

Dongsheng Che, Bernard Chen, Hai Le, 2016, ICDM.

Variable-Length Protein Sequence Motif Extraction Using Hierarchically-Clustered Hidden Markov Models

Bernard Chen, Cody Hudson, Cody Hudson, 2013, 2013 12th International Conference on Machine Learning and Applications.

Sparse nonnegative matrix factorization for protein sequence motif discovery

Yi Pan, Haesun Park, Wooyoung Kim, 2011, Expert Syst. Appl..

Novel linkage with remote centre of motion

Chao Chen, Bernard Chen, Laurence Milner Harewood, 2015 .

The tool for assessing the damage tolerance of railway wheel under service conditions

Bernard Chen, Rhys Jones, Daren Peng, 2012 .

Extraction of Protein Sequence Motifs Information by Bi-Clustering Algorithm

Bernard Chen, Sinan Kockara, Vincent Yip, 2010, BIOCOMP.

Interval-Valued Centroids in K-Means Algorithms

Chenyi Hu, Victor S. Sheng, Bernard Chen, 2012, 2012 11th International Conference on Machine Learning and Applications.

Feature Extraction Optimization for Network Intrusion Detection in Control System Networks

Randy K. Smith, Stanislav Ponomarev, Travis Atkison, 2018, Int. J. Netw. Secur..

Novel efficient granular computing models for protein sequence motifs and structure information discovery

Yi Pan, Robert W. Harrison, Bernard Chen, 2009, Int. J. Comput. Biol. Drug Des..

Discovering genomic islands in microbial genomes using a genetic algorithm

Dongsheng Che, Bernard Chen, Pu Tian, 2017, 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction

Yi Pan, Robert W. Harrison, Bernard Chen, 2007, 2007 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology.

Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction

Yi Pan, Robert W. Harrison, Bernard Chen, 2008, Int. J. Funct. Informatics Pers. Medicine.

Adaptively-Branching Fuzzy Greedy K-mean Decision Forest (FGK-DF) Model for Protein Local Tertiary Structure Prediction

Dongsheng Che, Bernard Chen, Minwoo Kim, 2014 .

Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering

Yi Pan, Robert W. Harrison, Bernard Chen, 2006, 2006 IEEE International Conference on Granular Computing.

Wineinformatics: Applying Data Mining on Wine Sensory Reviews Processed by the Computational Wine Wheel

Bernard Chen, Aaron Crawford, Christopher Rhodes, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Clustering using Positional Association Rules Algorithm on Protein Sequence Motifs

Bernard Chen, Michael Miller, Terrance Griffin, 2010, BIOCOMP.

Complete Efficiency Analysis of Epicyclic Gear Train With Two Degrees of Freedom

Chao Chen, Bernard Chen, Kieran Davies, 2012 .

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

Yi Pan, Jieyue He, Bernard Chen, 2010, Int. J. Data Min. Bioinform..

Analysis of density based and fuzzy c-means clustering methods on lesion border extraction in dermoscopy images

Mutlu Mete, Bernard Chen, Sinan Kockara, 2010, BMC Bioinformatics.

GIST: Genomic island suite of tools for predicting genomic islands in genomic sequences

Han Wang, Qi Liu, Dongsheng Che, 2012, Bioinformation.

FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery

Yi Pan, Robert W. Harrison, Bernard Chen, 2006, Sixth IEEE Symposium on BioInformatics and BioEngineering (BIBE'06).

Multi-class wine grades predictions with hierarchical support vector machines

Bernard Chen, James Palmer, Recep Erol, 2017, 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

Wineinformatics: Uncork Napa's Cabernet Sauvignon by Association Rule Based Classification

Bernard Chen, Bryce Nicholson, Valentin Velchev, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).