Stiffness and energy conservation in molecular dynamics: An improved integrator. - Robert W. Harrison (J. Comput. Chem., 1993)

Integrating quantum and molecular mechanics. - Robert W. Harrison (J. Comput. Chem., 1999)

Transmembrane segments prediction with support vector machine based on high performance encoding schemes. - Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (CIBCB, 2004)

Factoring 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 001 (CIBCB, 2004)

Alternative target functions for protein structure prediction with neural networks. - Hai Deng; Robert W. Harrison; Yi Pan 001; Phang C. Tai (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2004)

Protein secondary structure prediction using support vector machine with advanced encoding schemes. - Hae-Jin Hu; Yi Pan 001; Robert W. Harrison; Phang C. Tai (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2004)

Protein secondary structure prediction using different encoding schemes and neural network architectures. - Wei Zhong; Yi Pan 001; Robert W. Harrison; Phang C. Tai (Data Mining and Knowledge Discovery: Theory, Tools, and Technology, 2004)

Discovery of Local protein sequence motifs using Improved k-means Clustering Technique. - Wei Zhong; Gulsah Altun; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (Advances in Bioinformatics and Its Applications, 2005)

RNA Pseudoknot Prediction Using Term Rewriting. - Xuezheng Fu; Hao Wang 003; William L. Harrison; Robert W. Harrison (BIBE, 2005)

Genetic fuzzy fusion of SVM classifiers for biomedical data. - Xiujuan Chen; Robert W. Harrison; Yan-Qing Zhang 001 (Congress on Evolutionary Computation, 2005)

Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis. - Bernard Chen 001; Robert W. Harrison; Yi Pan 001; Phang C. Tai (CSB Workshops, 2005)

Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction. - Jieyue He; Bernard Chen 001; Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yisheng Dong; Yi Pan 001 (CSB Workshops, 2005)

Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier. - Hae-Jin Hu; Phang C. Tai; Robert W. Harrison; Jieyue He; Yi Pan 001 (CSB Workshops, 2005)

Mining Protein Sequence Motifs Representing Common 3D Structures. - Wei Zhong; Gulsah Altun; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (CSB Workshops, 2005)

Fuzzy support vector machines for biomedical data analysis. - Xiujuan Chen; Robert W. Harrison; Yanqing Zhang 001 (GrC, 2005)

Understanding Protein Structure Prediction Using SVM_DT. - Jieyue He; Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yisheng Dong; Yi Pan 001 (ISPA Workshops, 2005)

Emphasizing the area of interest using real-time shaders. - Jeffrey W. Chastine; Jeremy C. Brooks; Ying Zhu 001; G. Scott Owen; Robert W. Harrison; Irene T. Weber (SIGGRAPH Posters, 2005)

Web based molecular visualization using procedural shaders in X3D. - Feng Liu; G. Scott Owen; Ying Zhu 001; Robert W. Harrison; Irene T. Weber (SIGGRAPH Web Program, 2005)

AMMP-Vis: a collaborative virtual environment for molecular modeling. - Jeffrey W. Chastine; Jeremy C. Brooks; Ying Zhu 001; G. Scott Owen; Robert W. Harrison; Irene T. Weber (VRST, 2005)

FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery. - Bernard Chen 001; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (BIBE, 2006)

Feature Similarity Based Redundancy Reduction for Gene Selection. - Xuezheng Fu; Feng Tan; Hao Wang 003; Yanqing Zhang 001; Robert W. Harrison (DMIN, 2006)

A New Seed Selection Algorithm that Maximizes Local Structural Similarity in Proteins. - Gulsah Altun; Wei Zhong; Yi Pan 001; Phang C. Tai; Robert W. Harrison (EMBC, 2006)

Pluggable Application Server Framework. - Hao Wang 003; Feng Tan; Amit Sabnis; Xuezheng Fu; Patra Volarath; Robert W. Harrison (EMBC, 2006)

A Multi-SVM Fusion Model Using Type-2 FLS. - Xiujuan Chen; Robert W. Harrison; Yan-Qing Zhang 001; Yu Qiu (FUZZ-IEEE, 2006)

Hybrid SVM Kernels for Protein Secondary Structure Prediction. - Gulsah Altun; Hae-Jin Hu; Dumitru Brinza; Robert W. Harrison; Alexander Zelikovsky; Yi Pan 001 (GrC, 2006)

Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering. - Bernard Chen 001; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (GrC, 2006)

Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction. - Jieyue He; Wei Zhong; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (International Conference on Computational Science (2), 2006)

Content-based Image Retrieval Using Gabor-Zernike Features. - Xuezheng Fu; Yong Li; Robert W. Harrison; Saeid Belkasim (ICPR (2), 2006)

Transmembrane segments prediction and understanding using support vector machine and decision tree. - Jieyue He; Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (Expert Syst. Appl., 2006)

Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction. - Bernard Chen 001; Stephen Pellicer; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (BIBE, 2007)

Homomorphisms of Multisource Trees into Networks with Applications to Metabolic Pathways. - Qiong Cheng; Robert W. Harrison; Alexander Zelikovsky (BIBE, 2007)

Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction. - Bernard Chen 001; Stephen Pellicer; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (CIBCB, 2007)

Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining. - Hae-Jin Hu; Hao Wang 003; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (CIBCB, 2007)

A Feature Selection Algorithm Based on Graph Theory and Random Forests for Protein Secondary Structure Prediction. - Gulsah Altun; Hae-Jin Hu; Stefan Gremalschi; Robert W. Harrison; Yi Pan 001 (ISBRA, 2007)

Combining SVM Classifiers Using Genetic Fuzzy Systems Based on AUC for Gene Expression Data Analysis. - Xiujuan Chen; Yichuan Zhao; Yan-Qing Zhang 001; Robert W. Harrison (ISBRA, 2007)

Statistical Estimate for the Size of the Protein Structural Vocabulary. - Xuezheng Fu; Bernard Chen 001; Yi Pan 001; Robert W. Harrison (ISBRA, 2007)

AMMP-EXTN: Managing User Privacy and Cooperation Demand in a Collaborative Molecule Modeling Virtual System. - Wenjun Ma; Ying Zhu 001; Robert W. Harrison; G. Scott Owen (VR, 2007)

Clustering support vector machines for protein local structure prediction. - Wei Zhong; Jieyue He; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (Expert Syst. Appl., 2007)

Genetic fuzzy classification fusion of multiple SVMs for biomedical data. - Xiujuan Chen; Yong Li; Robert W. Harrison; Yan-Qing Zhang 001 (J. Intell. Fuzzy Syst., 2007)

Parallel protein secondary structure prediction schemes using Pthread and OpenMP over hyper-threading technology. - Wei Zhong; Gulsah Altun; Xinmin Tian; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (J. Supercomput., 2007)

Fast Alignments of Metabolic Networks. - Qiong Cheng; Piotr Berman; Robert W. Harrison; Alexander Zelikovsky (BIBM, 2008)

Type-2 fuzzy logic-based classifier fusion for support vector machines. - Xiujuan Chen; Yong Li; Robert W. Harrison; Yan-Qing Zhang 001 (Appl. Soft Comput., 2008)

A rule-based approach for RNA pseudoknot prediction. - Xuezheng Fu; Hao Wang 003; Robert W. Harrison; William L. Harrison (Int. J. Data Min. Bioinform., 2008)

Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction. - Bernard Chen 001; Stephen Pellicer; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (Int. J. Funct. Informatics Pers. Medicine, 2008)

Rule Extraction from SVM for Protein Structure Prediction. - Jieyue He; Hae-Jin Hu; Bernard Chen 001; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (Rule Extraction from Support Vector Machines, 2008)

Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction. - Jieyue He; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (BIBE, 2009)

A Novel Deterministic-Stochastic Crossover Method for Simulating Biochemical Networks. - Amit Sabnis; Robert W. Harrison (BIBM, 2009)

Practical fuzzy decision trees. - Na'el Abu-Halaweh; Robert W. Harrison (CIDM, 2009)

Prediction and Classification of Real and Pseudo MicroRNA Precursors via Data Fuzzification and Fuzzy Decision Trees. - Na'el Abu-Halaweh; Robert W. Harrison (ISBRA, 2009)

MetNetAligner: a web service tool for metabolic network alignments. - Qiong Cheng; Robert W. Harrison; Alexander Zelikovsky (Bioinform., 2009)

Novel efficient granular computing models for protein sequence motifs and structure information discovery. - Bernard Chen 001; Stephen Pellicer; Phang C. Tai; Robert W. Harrison; Yi Pan 001 (Int. J. Comput. Biol. Drug Des., 2009)

Granular Decision Tree and Evolutionary Neural SVM for Protein Secondary Structure Prediction. - Anjum Reyaz-Ahmed; Yan-Qing Zhang 001; Robert W. Harrison (Int. J. Comput. Intell. Syst., 2009)

The Effect of Wavelet Families on Watermarking. - Evelyn Brannock; Michael Weeks; Robert W. Harrison (J. Comput., 2009)

Protein Model Assessment via Improved Fuzzy Decision Tree. - Anjum Reyaz-Ahmed; Na'el Abu-Halaweh; Robert W. Harrison; Yan-Qing Zhang 001 (BIOCOMP, 2010)

Identifying essential features for the classification of real and pseudo microRNAs precursors using fuzzy decision trees. - Na'el Abu-Halaweh; Robert W. Harrison (CIBCB, 2010)

Simulation of oscillatory dynamics of blood testosterone levels using the crossover method. - Amit Sabnis; Robert W. Harrison (CIBCB, 2010)

Efficient Alignments of Metabolic Networks with Bounded Treewidth. - Qiong Cheng; Piotr Berman; Robert W. Harrison; Alexander Zelikovsky (ICDM Workshops, 2010)

Protein model assessment via machine learning techniques. - Anjum Reyaz-Ahmed; Robert W. Harrison; Yan-Qing Zhang 001 (Int. J. Funct. Informatics Pers. Medicine, 2010)

Encoding protein structure with functions on graphs. - Promita Bose; Xiaxia Yu; Robert W. Harrison (BIBM Workshops, 2011)

Prediction of Regulatory sRNAs in Prokaryotes using Machine Learning Tools. - Na'el Abu-Halaweh; Amit Sabnis; Robert W. Harrison (BIOINFORMATICS, 2011)

Understandable learning machine system design for Transmembrane or Embedded Membrane segments prediction. - Hae-Jin Hu; Robert W. Harrison; Phang C. Tai; Yi Pan 001 (Int. J. Data Min. Bioinform., 2011)

A Continuous-Time, Discrete-State Method for Simulating the Dynamics of Biochemical Systems. - Amit Sabnis; Robert W. Harrison (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Protein model assessment using extented fuzzy decision tree with spatial neighborhood features. - Anjum Chida; Robert W. Harrison; Yan-Qing Zhang 001 (CIBCB, 2012)

¿¿Enhanced Encoding with Improved Fuzzy Decision Tree Testing Using CASP Templates. - Anjum Chida; Yan-Qing Zhang 001; Robert W. Harrison (IEEE Comput. Intell. Mag., 2012)

A deterministic-stochastic crossover algorithm for simulation of complex biochemical systems. - Guoxing Fu; Amit Sabnis; Robert W. Harrison (ICCABS, 2013)

Using triangulation to include target structure improves drug resistance prediction accuracy. - Robert W. Harrison; Xiaxia Yu; Irene T. Weber (ICCABS, 2013)

HIV drug resistance prediction using multiple regression. - Xiaxia Yu; Robert W. Harrison; Irene T. Weber (ICCABS, 2013)

Sparse Representation for HIV-1 Protease Drug Resistance Prediction. - Robert W. Harrison; Irene T. Weber; Xiaxia Yu (SDM, 2013)

A model architecture for Big Data applications using relational databases. - Erin-Elizabeth A. Durham; Andrew Rosen; Robert W. Harrison (IEEE BigData, 2014)

A novel approach to determine docking locations using fuzzy logic and shape determination. - Chinua Umoja; J. T. Torrance; Erin-Elizabeth A. Durham; Andrew Rosen; Robert W. Harrison (IEEE BigData, 2014)

FDT 2.0: Improving scalability of the fuzzy decision tree induction tool - integrating database storage. - Erin-Elizabeth A. Durham; Xiaxia Yu; Robert W. Harrison (CICARE, 2014)

Optimization of relational database usage involving Big Data a model architecture for Big Data applications. - Erin-Elizabeth A. Durham; Andrew Rosen; Robert W. Harrison (CIDM, 2014)

Identifying representative drug resistant mutants of HIV reverse transcriptase. - Xiaxia Yu; Robert W. Harrison; Irene T. Weber (ICCABS, 2014)

A Distributed Greedy Heuristic for Computing Voronoi Tessellations with Applications Towards Peer-to-Peer Networks. - Brendan Benshoof; Andrew Rosen; Anu G. Bourgeois; Robert W. Harrison (IPDPS Workshops, 2015)

Identifying representative drug resistant mutants of HIV. - Xiaxia Yu; Irene T. Weber; Robert W. Harrison (BMC Bioinform., 2015)

Distributed Decentralized Domain Name Service. - Brendan Benshoof; Andrew Rosen; Anu G. Bourgeois; Robert W. Harrison (IPDPS Workshops, 2016)

Automated prediction of HIV drug resistance from genotype data. - ChenHsiang Shen; Xiaxia Yu; Robert W. Harrison; Irene T. Weber (BMC Bioinform., 2016)

Recognizing Protein Secondary Structures with Neural Networks. - Robert W. Harrison; Michael McDermott; Chinua Umoja (DEXA Workshops, 2017)

Fuzzy Restricted Boltzmann Machines. - Robert W. Harrison; Christopher Freas (NAFIPS, 2017)

Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications. - Robert W. Harrison; Ion I. Mandoiu; Alexander Zelikovsky (IEEE ACM Trans. Comput. Biol. Bioinform., 2017)

High Performance Attack Estimation in Large-Scale Network Flows. - Christopher B. Freas; Robert W. Harrison; Yuan Long (IEEE BigData, 2018)

Analysis of drug resistance in HIV protease. - Shrikant D. Pawar; Christopher Freas; Irene T. Weber; Robert W. Harrison (BMC Bioinform., 2018)

Web-Based Intelligence for IDS. - Christopher B. Freas; Robert W. Harrison (SpaCCS Workshops, 2019)

Illicit Activity Detection in Large-Scale Dark and Opaque Web Social Networks. - Dhara Shah; T. G. Harrison; Christopher B. Freas; David Maimon; Robert W. Harrison (IEEE BigData, 2020)

Evolution of drug resistance in HIV protease. - Dhara Shah; Christopher Freas; Irene T. Weber; Robert W. Harrison (BMC Bioinform., 2020)

Accuracy and Generalization of Deep Learning Applied to Large Scale Attacks. - Christopher B. Freas; Dhara Shah; Robert W. Harrison (ICC Workshops, 2021)

POSLAN: disentangling chat with positional and language encoded post embeddings. - Bhashithe Abeysinghe; Dhara Shah; Christopher Freas; Robert W. Harrison; Rajshekhar Sunderraman (SAC, 2022)

Continuous restricted Boltzmann machines. - Robert W. Harrison (Wirel. Networks, 2022)