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Robert W. Harrison

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

28

Venues

14

Active years

2004–2022

Best venue rank

A*

Where they publish

Papers

28 indexed papers, newest first.

YearVenueTitleAuthors
2022SACPOSLAN: disentangling chat with positional and language encoded post embeddings.Bhashithe Abeysinghe, Dhara Shah, Christopher Freas, Robert W. Harrison, Rajshekhar Sunderraman
2014CIDMOptimization of relational database usage involving Big Data a model architecture for Big Data applications.Erin-Elizabeth A. Durham, Andrew Rosen, Robert W. Harrison
2013SDMSparse Representation for HIV-1 Protease Drug Resistance Prediction.Robert W. Harrison, Irene T. Weber, Xiaxia Yu
2012CIBCBProtein model assessment using extented fuzzy decision tree with spatial neighborhood features.Anjum Chida, Robert W. Harrison, Yan-Qing Zhang
2010CIBCBIdentifying essential features for the classification of real and pseudo microRNAs precursors using fuzzy decision trees.Na'el Abu-Halaweh, Robert W. Harrison
2010CIBCBSimulation of oscillatory dynamics of blood testosterone levels using the crossover method.Amit Sabnis, Robert W. Harrison
2010ICDMEfficient Alignments of Metabolic Networks with Bounded Treewidth.Qiong Cheng, Piotr Berman, Robert W. Harrison, Alexander Zelikovsky
2009BIBETri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction.Jieyue He, Robert W. Harrison, Phang C. Tai, Yi Pan
2009CIDMPractical fuzzy decision trees.Na'el Abu-Halaweh, Robert W. Harrison
2007BIBEHomomorphisms of Multisource Trees into Networks with Applications to Metabolic Pathways.Qiong Cheng, Robert W. Harrison, Alexander Zelikovsky
2007BIBESuper Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction.Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2007CIBCBSuper Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction.Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2007CIBCBUnderstanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining.Hae-Jin Hu, Hao Wang, Robert W. Harrison, Phang C. Tai, Yi Pan
2007VRAMMP-EXTN: Managing User Privacy and Cooperation Demand in a Collaborative Molecule Modeling Virtual System.Wenjun Ma, Ying Zhu, Robert W. Harrison, G. Scott Owen
2006BIBEFIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery.Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
2006GRCHybrid SVM Kernels for Protein Secondary Structure Prediction.Gulsah Altun, Hae-Jin Hu, Dumitru Brinza, Robert W. Harrison, Alexander Zelikovsky, Yi Pan
2006GRCNovel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering.Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
2006ICCSClustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction.Jieyue He, Wei Zhong, Robert W. Harrison, Phang C. Tai, Yi Pan
2006ICPRContent-based Image Retrieval Using Gabor-Zernike Features.Xuezheng Fu, Yong Li, Robert W. Harrison, Saeid Belkasim
2005BIBERNA Pseudoknot Prediction Using Term Rewriting.Xuezheng Fu, Hao Wang, William L. Harrison, Robert W. Harrison
2005CECGenetic fuzzy fusion of SVM classifiers for biomedical data.Xiujuan Chen, Robert W. Harrison, Yan-Qing Zhang
2005GRCFuzzy support vector machines for biomedical data analysis.Xiujuan Chen, Robert W. Harrison, Yanqing Zhang
2005ISPAUnderstanding Protein Structure Prediction Using SVM_DT.Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan
2005SIGGRAPHEmphasizing the area of interest using real-time shaders.Jeffrey W. Chastine, Jeremy C. Brooks, Ying Zhu, G. Scott Owen, Robert W. Harrison, Irene T. Weber
2005SIGGRAPHWeb based molecular visualization using procedural shaders in X3D.Feng Liu, G. Scott Owen, Ying Zhu, Robert W. Harrison, Irene T. Weber
2005VRSTAMMP-Vis: a collaborative virtual environment for molecular modeling.Jeffrey W. Chastine, Jeremy C. Brooks, Ying Zhu, G. Scott Owen, Robert W. Harrison, Irene T. Weber
2004CIBCBTransmembrane segments prediction with support vector machine based on high performance encoding schemes.Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
2004CIBCBFactoring tertiary classification into binary classification improves neural network for protein secondary structure prediction.Wei Zhong, Gulsah Altun, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan