Robert W. Harrison - researchr alias

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2011

Understandable learning machine system design for Transmembrane or Embedded Membrane segments predictionHae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan. ijdmb, 5(1):38-51, 2011. [doi]

A Continuous-Time, Discrete-State Method for Simulating the Dynamics of Biochemical SystemsAmit Sabnis, Robert W. Harrison. tcbb, 8(2):335-341, 2011. [doi]

2010

Efficient Alignments of Metabolic Networks with Bounded TreewidthQiong Cheng, Piotr Berman, Robert W. Harrison, Alexander Zelikovsky. icdm 2010: 687-694 [doi]

Protein Model Assessment via Improved Fuzzy Decision TreeAnjum Reyaz-Ahmed, Na el Abu-halaweh, Robert W. Harrison, Yan-Qing Zhang. biocomp 2010: 238-241

Protein model assessment via machine learning techniquesAnjum Reyaz-Ahmed, Robert W. Harrison, Yan-Qing Zhang. ijfipm, 3(3):215-227, 2010. [doi]

2009

2008

Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extractionBernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan. ijfipm, 1(1):8-25, 2008. [doi]

Type-2 fuzzy logic-based classifier fusion for support vector machinesXiujuan Chen, Yong Li, Robert W. Harrison, Yan-Qing Zhang. asc, 8(3):1222-1231, 2008. [doi]

Fast Alignments of Metabolic NetworksQiong Cheng, Piotr Berman, Robert W. Harrison, Alexander Zelikovsky. bibm 2008: 147-152 [doi]

A rule-based approach for RNA pseudoknot predictionXuezheng Fu, Hao Wang, Robert W. Harrison, William L. Harrison. ijdmb, 2(1):78-93, 2008. [doi]

Rule Extraction from SVM for Protein Structure PredictionJieyue He, Hae-Jin Hu, Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan. In Joachim Diederich, editor, Rule Extraction from Support Vector Machines. Volume 80 of Studies in Computational Intelligence, pages 227-252, Springer, 2008. [doi]

2007

A Feature Selection Algorithm Based on Graph Theory and Random Forests for Protein Secondary Structure PredictionGulsah Altun, Hae-Jin Hu, Stefan Gremalschi, Robert W. Harrison, Yi Pan. isbra 2007: 590-600 [doi]

Genetic fuzzy classification fusion of multiple SVMs for biomedical dataXiujuan Chen, Yong Li, Robert W. Harrison, Yan-Qing Zhang. jifs, 18(6):527-541, 2007. [doi]

Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation ExtractionBernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan. cibcb 2007: 317-322 [doi]

Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information ExtractionBernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan. bibe 2007: 379-386 [doi]

Combining SVM Classifiers Using Genetic Fuzzy Systems Based on AUC for Gene Expression Data AnalysisXiujuan Chen, Yichuan Zhao, Yan-Qing Zhang, Robert W. Harrison. isbra 2007: 496-505 [doi]

Homomorphisms of Multisource Trees into Networks with Applications to Metabolic PathwaysQiong Cheng, Robert W. Harrison, Alexander Zelikovsky. bibe 2007: 350-357 [doi]

Statistical Estimate for the Size of the Protein Structural VocabularyXuezheng Fu, Bernard Chen, Yi Pan, Robert W. Harrison. isbra 2007: 530-538 [doi]

AMMP-EXTN: Managing User Privacy and Cooperation Demand in a Collaborative Molecule Modeling Virtual SystemWenjun Ma, Wing Zhu, Robert W. Harrison, G. Scott Owen. vr 2007: 301-302 [doi]

Parallel protein secondary structure prediction schemes using Pthread and OpenMP over hyper-threading technologyWei Zhong, Gulsah Altun, Xinmin Tian, Robert W. Harrison, Phang C. Tai, Yi Pan. tjs, 41(1):1-16, 2007. [doi]

Clustering support vector machines for protein local structure predictionWei Zhong, Jieyue He, Robert W. Harrison, Phang C. Tai, Yi Pan. eswa, 32(2):518-526, 2007. [doi]

2006

Hybrid SVM Kernels for Protein Secondary Structure PredictionGulsah Altun, Hae-Jin Hu, Dumitru Brinza, Robert W. Harrison, Alexander Zelikovsky, Yi Pan. grc 2006: 762-765 [doi]

FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information DiscoveryBernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan. bibe 2006: 20-26

Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif DiscoveringBernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan. grc 2006: 449-452 [doi]

Content-based Image Retrieval Using Gabor-Zernike FeaturesXuezheng Fu, Yong Li, Robert W. Harrison, Saeid Belkasim. icpr 2006: 417-420 [doi]

Feature Similarity Based Redundancy Reduction for Gene SelectionXuezheng Fu, Feng Tan, Hao Wang, Yanqing Zhang, Robert W. Harrison. dmin 2006: 357-360

Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure PredictionJieyue He, Wei Zhong, Robert W. Harrison, Phang C. Tai, Yi Pan. iccS 2006: 710-717 [doi]

Transmembrane segments prediction and understanding using support vector machine and decision treeJieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan. eswa, 30(1):64-72, 2006. [doi]

2005

AMMP-Vis: a collaborative virtual environment for molecular modelingJeffrey W. Chastine, Jeremy C. Brooks, Ying Zhu, G. Scott Owen, Robert W. Harrison, Irene T. Weber. vrst 2005: 8-15 [doi]

Genetic fuzzy fusion of SVM classifiers for biomedical dataXiujuan Chen, Robert W. Harrison, Yan-Qing Zhang. cec 2005: 654-659 [doi]

Fuzzy support vector machines for biomedical data analysisXiujuan Chen, Robert W. Harrison, Yanqing Zhang. grc 2005: 131-134 [doi]

Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray AnalysisBernard Chen, Robert W. Harrison, Yi Pan, Phang C. Tai. csb 2005: 105-108 [doi]

RNA Pseudoknot Prediction Using Term RewritingXuezheng Fu, Hao Wang, William L. Harrison, Robert W. Harrison. bibe 2005: 169-176 [doi]

Understanding Protein Structure Prediction Using SVM_DTJieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan. ispa 2005: 203-212 [doi]

Rule Clustering and Super-rule Generation for Transmembrane Segments PredictionJieyue He, Bernard Chen, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan. csb 2005: 224-227 [doi]

Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary ClassifierHae-Jin Hu, Phang C. Tai, Robert W. Harrison, Jieyue He, Yi Pan. csb 2005: 213-214 [doi]

Mining Protein Sequence Motifs Representing Common 3D StructuresWei Zhong, Gulsah Altun, Robert W. Harrison, Phang C. Tai, Yi Pan. csb 2005: 215-216 [doi]

2004

1999

Integrating quantum and molecular mechanicsRobert W. Harrison. jcc, 20(15):1618-1633, 1999. [doi]