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Robert W. Harrison: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. X. Z. Fu, H. Wang, W. Harrison, R. Harrison
    RNA Pseudoknot Prediction Using Term Rewriting. [Citation Graph (0, 0)][DBLP]
    BIBE, 2005, pp:169-176 [Conf]
  2. 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. [Citation Graph (0, 0)][DBLP]
    BIBE, 2006, pp:20-26 [Conf]
  3. Bernard Chen, Robert Harrison, Yi Pan, Phang C. Tai
    Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:105-108 [Conf]
  4. 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. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:224-227 [Conf]
  5. Hae-Jin Hu, Phang C. Tai, Robert W. Harrison, Jieyue He, Yi Pan
    Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:213-214 [Conf]
  6. Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang C. Tai, Yi Pan
    Mining Protein Sequence Motifs Representing Common 3D Structures. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:215-216 [Conf]
  7. Xuezheng Fu, Feng Tan, Hao Wang, Yanqing Zhang, Robert W. Harrison
    Feature Similarity Based Redundancy Reduction for Gene Selection. [Citation Graph (0, 0)][DBLP]
    DMIN, 2006, pp:357-360 [Conf]
  8. Jieyue He, Wei Zhong, Robert Harrison, Phang C. Tai, Yi Pan
    Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (2), 2006, pp:710-717 [Conf]
  9. X. Fu, Y. Li, R. Harrison, Saeid Belkasim
    Content-based Image Retrieval Using Gabor-Zernike Features. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2006, pp:417-420 [Conf]
  10. Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan
    Understanding Protein Structure Prediction Using SVM_DT. [Citation Graph (0, 0)][DBLP]
    ISPA Workshops, 2005, pp:203-212 [Conf]
  11. Jeffrey W. Chastine, Jeremy C. Brooks, Ying Zhu, G. Scott Owen, Robert W. Harrison, Irene T. Weber
    AMMP-Vis: a collaborative virtual environment for molecular modeling. [Citation Graph (0, 0)][DBLP]
    VRST, 2005, pp:8-15 [Conf]
  12. Xiujuan Chen, Robert W. Harrison, Yanqing Zhang
    Fuzzy support vector machines for biomedical data analysis. [Citation Graph (0, 0)][DBLP]
    GrC, 2005, pp:131-134 [Conf]
  13. Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
    Transmembrane segments prediction and understanding using support vector machine and decision tree. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2006, v:30, n:1, pp:64-72 [Journal]
  14. Wei Zhong, Jieyue He, Robert W. Harrison, Phang C. Tai, Yi Pan
    Clustering support vector machines for protein local structure prediction. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:32, n:2, pp:518-526 [Journal]
  15. Robert W. Harrison
    Integrating quantum and molecular mechanics. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Chemistry, 1999, v:20, n:15, pp:1618-1633 [Journal]
  16. Xiujuan Chen, Robert W. Harrison, Yan-Qing Zhang
    Genetic fuzzy fusion of SVM classifiers for biomedical data. [Citation Graph (0, 0)][DBLP]
    Congress on Evolutionary Computation, 2005, pp:654-659 [Conf]
  17. Gulsah Altun, Hae-Jin Hu, Stefan Gremalschi, Robert W. Harrison, Yi Pan
    A Feature Selection Algorithm Based on Graph Theory and Random Forests for Protein Secondary Structure Prediction. [Citation Graph (0, 0)][DBLP]
    ISBRA, 2007, pp:590-600 [Conf]
  18. Xiujuan Chen, Yichuan Zhao, Yan-Qing Zhang, Robert Harrison
    Combining SVM Classifiers Using Genetic Fuzzy Systems Based on AUC for Gene Expression Data Analysis. [Citation Graph (0, 0)][DBLP]
    ISBRA, 2007, pp:496-505 [Conf]
  19. Xuezheng Fu, Bernard Chen, Yi Pan, Robert W. Harrison
    Statistical Estimate for the Size of the Protein Structural Vocabulary. [Citation Graph (0, 0)][DBLP]
    ISBRA, 2007, pp:530-538 [Conf]
  20. Wei Zhong, Gulsah Altun, Xinmin Tian, Robert W. Harrison, Phang C. Tai, Yi Pan
    Parallel protein secondary structure prediction schemes using Pthread and OpenMP over hyper-threading technology. [Citation Graph (0, 0)][DBLP]
    The Journal of Supercomputing, 2007, v:41, n:1, pp:1-16 [Journal]

  21. Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction. [Citation Graph (, )][DBLP]


  22. Homomorphisms of Multisource Trees into Networks with Applications to Metabolic Pathways. [Citation Graph (, )][DBLP]


  23. Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction. [Citation Graph (, )][DBLP]


  24. Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction. [Citation Graph (, )][DBLP]


  25. Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining. [Citation Graph (, )][DBLP]


  26. AMMP-EXTN: Managing User Privacy and Cooperation Demand in a Collaborative Molecule Modeling Virtual System. [Citation Graph (, )][DBLP]


  27. Fast Alignments of Metabolic Networks. [Citation Graph (, )][DBLP]


  28. A Novel Deterministic-Stochastic Crossover Method for Simulating Biochemical Networks. [Citation Graph (, )][DBLP]


  29. Alternative target functions for protein structure prediction with neural networks. [Citation Graph (, )][DBLP]


  30. Protein secondary structure prediction using different encoding schemes and neural network architectures. [Citation Graph (, )][DBLP]


  31. Protein secondary structure prediction using support vector machine with advanced encoding schemes. [Citation Graph (, )][DBLP]


  32. Type-2 fuzzy logic-based classifier fusion for support vector machines. [Citation Graph (, )][DBLP]


  33. MetNetAligner: a web service tool for metabolic network alignments. [Citation Graph (, )][DBLP]


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