Robert W. Harrison

90 papers A* 1A 1B 3C 14Misc 5Journal 24Unranked 39

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Continuous restricted Boltzmann machines. Wirel. Networks Robert W. Harrison
2022	Misc	`conf`	POSLAN: disentangling chat with positional and language encoded post embeddings. SAC Bhashithe Abeysinghe, Dhara Shah, Christopher Freas, Robert W. Harrison, Rajshekhar Sunderraman
2021	—	`conf`	Accuracy and Generalization of Deep Learning Applied to Large Scale Attacks. ICC Workshops Christopher B. Freas, Dhara Shah, Robert W. Harrison
2021	J	`jnl`	POSLAN: Disentangling Chat with Positional and Language encoded Post Embeddings. CoRR Bhashithe Abeysinghe, Dhara Shah, Christopher Freas, Robert W. Harrison, Rajshekhar Sunderraman
2020	J	`jnl`	Evolution of drug resistance in HIV protease. BMC Bioinform. Dhara Shah, Christopher Freas, Irene T. Weber, Robert W. Harrison
2020	—	`conf`	Illicit Activity Detection in Large-Scale Dark and Opaque Web Social Networks. IEEE BigData Dhara Shah, T. G. Harrison, Christopher B. Freas, David Maimon, Robert W. Harrison
2019	—	`conf`	Web-Based Intelligence for IDS. SpaCCS Workshops Christopher B. Freas, Robert W. Harrison
2018	J	`jnl`	Analysis of drug resistance in HIV protease. BMC Bioinform. Shrikant D. Pawar, Christopher Freas, Irene T. Weber, Robert W. Harrison
2018	—	`conf`	High Performance Attack Estimation in Large-Scale Network Flows. IEEE BigData Christopher B. Freas, Robert W. Harrison, Yuan Long
2017	—	`conf`	Fuzzy Restricted Boltzmann Machines. NAFIPS Robert W. Harrison, Christopher Freas
2017	J	`jnl`	Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications. IEEE ACM Trans. Comput. Biol. Bioinform. Robert W. Harrison, Ion I. Mandoiu, Alexander Zelikovsky
2017	—	`conf`	Recognizing Protein Secondary Structures with Neural Networks. DEXA Workshops Robert W. Harrison, Michael McDermott, Chinua Umoja
2016	J	`jnl`	Automated prediction of HIV drug resistance from genotype data. BMC Bioinform. ChenHsiang Shen, Xiaxia Yu, Robert W. Harrison, Irene T. Weber
2016	—	`conf`	Distributed Decentralized Domain Name Service. IPDPS Workshops Brendan Benshoof, Andrew Rosen, Anu G. Bourgeois, Robert W. Harrison
2015	—	`conf`	A Distributed Greedy Heuristic for Computing Voronoi Tessellations with Applications Towards Peer-to-Peer Networks. IPDPS Workshops Brendan Benshoof, Andrew Rosen, Anu G. Bourgeois, Robert W. Harrison
2015	—	`ed.`	Bioinformatics Research and Applications - 11th International Symposium, ISBRA 2015, Norfolk, VA, USA, June 7-10, 2015 Proceedings ISBRA Robert W. Harrison, Yaohang Li, Ion I. Mandoiu
2015	J	`jnl`	Identifying representative drug resistant mutants of HIV. BMC Bioinform. Xiaxia Yu, Irene T. Weber, Robert W. Harrison
2014	—	`conf`	A model architecture for Big Data applications using relational databases. IEEE BigData Erin-Elizabeth A. Durham, Andrew Rosen, Robert W. Harrison
2014	—	`conf`	A novel approach to determine docking locations using fuzzy logic and shape determination. IEEE BigData Chinua Umoja, J. T. Torrance, Erin-Elizabeth A. Durham, Andrew Rosen, Robert W. Harrison
2014	—	`conf`	FDT 2.0: Improving scalability of the fuzzy decision tree induction tool - integrating database storage. CICARE Erin-Elizabeth A. Durham, Xiaxia Yu, Robert W. Harrison
2014	—	`conf`	Identifying representative drug resistant mutants of HIV reverse transcriptase. ICCABS Xiaxia Yu, Robert W. Harrison, Irene T. Weber
2014	C	`conf`	Optimization of relational database usage involving Big Data a model architecture for Big Data applications. CIDM Erin-Elizabeth A. Durham, Andrew Rosen, Robert W. Harrison
2013	—	`conf`	A deterministic-stochastic crossover algorithm for simulation of complex biochemical systems. ICCABS Guoxing Fu, Amit Sabnis, Robert W. Harrison
2013	—	`conf`	HIV drug resistance prediction using multiple regression. ICCABS Xiaxia Yu, Robert W. Harrison, Irene T. Weber
2013	A	`conf`	Sparse Representation for HIV-1 Protease Drug Resistance Prediction. SDM Robert W. Harrison, Irene T. Weber, Xiaxia Yu
2013	—	`conf`	Using triangulation to include target structure improves drug resistance prediction accuracy. ICCABS Robert W. Harrison, Xiaxia Yu, Irene T. Weber
2012	C	`conf`	Protein model assessment using extented fuzzy decision tree with spatial neighborhood features. CIBCB Anjum Chida, Robert W. Harrison, Yan-Qing Zhang
2012	J	`jnl`	¿¿Enhanced Encoding with Improved Fuzzy Decision Tree Testing Using CASP Templates. IEEE Comput. Intell. Mag. Anjum Chida, Yan-Qing Zhang, Robert W. Harrison
2011	J	`jnl`	A Continuous-Time, Discrete-State Method for Simulating the Dynamics of Biochemical Systems. IEEE ACM Trans. Comput. Biol. Bioinform. Amit Sabnis, Robert W. Harrison
2011	—	`conf`	Encoding protein structure with functions on graphs. BIBM Workshops Promita Bose, Xiaxia Yu, Robert W. Harrison
2011	—	`conf`	Prediction of Regulatory sRNAs in Prokaryotes using Machine Learning Tools. BIOINFORMATICS Na'el Abu-Halaweh, Amit Sabnis, Robert W. Harrison
2011	J	`jnl`	Understandable learning machine system design for Transmembrane or Embedded Membrane segments prediction. Int. J. Data Min. Bioinform. Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
2010	—	`conf`	Efficient Alignments of Metabolic Networks with Bounded Treewidth. ICDM Workshops Qiong Cheng, Piotr Berman, Robert W. Harrison, Alexander Zelikovsky
2010	C	`conf`	Identifying essential features for the classification of real and pseudo microRNAs precursors using fuzzy decision trees. CIBCB Na'el Abu-Halaweh, Robert W. Harrison
2010	—	`conf`	Protein Model Assessment via Improved Fuzzy Decision Tree. BIOCOMP Anjum Reyaz-Ahmed, Na'el Abu-Halaweh, Robert W. Harrison, Yan-Qing Zhang
2010	J	`jnl`	Protein model assessment via machine learning techniques. Int. J. Funct. Informatics Pers. Medicine Anjum Reyaz-Ahmed, Robert W. Harrison, Yan-Qing Zhang
2010	C	`conf`	Simulation of oscillatory dynamics of blood testosterone levels using the crossover method. CIBCB Amit Sabnis, Robert W. Harrison
2009	—	`conf`	A Novel Deterministic-Stochastic Crossover Method for Simulating Biochemical Networks. BIBM Amit Sabnis, Robert W. Harrison
2009	J	`jnl`	Granular Decision Tree and Evolutionary Neural SVM for Protein Secondary Structure Prediction. Int. J. Comput. Intell. Syst. Anjum Reyaz-Ahmed, Yan-Qing Zhang, Robert W. Harrison
2009	J	`jnl`	MetNetAligner: a web service tool for metabolic network alignments. Bioinform. Qiong Cheng, Robert W. Harrison, Alexander Zelikovsky
2009	J	`jnl`	Novel efficient granular computing models for protein sequence motifs and structure information discovery. Int. J. Comput. Biol. Drug Des. Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2009	C	`conf`	Practical fuzzy decision trees. CIDM Na'el Abu-Halaweh, Robert W. Harrison
2009	—	`conf`	Prediction and Classification of Real and Pseudo MicroRNA Precursors via Data Fuzzification and Fuzzy Decision Trees. ISBRA Na'el Abu-Halaweh, Robert W. Harrison
2009	J	`jnl`	The Effect of Wavelet Families on Watermarking. J. Comput. Evelyn Brannock, Michael Weeks, Robert W. Harrison
2009	C	`conf`	Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction. BIBE Jieyue He, Robert W. Harrison, Phang C. Tai, Yi Pan
2008	J	`jnl`	A rule-based approach for RNA pseudoknot prediction. Int. J. Data Min. Bioinform. Xuezheng Fu, Hao Wang, Robert W. Harrison, William L. Harrison
2008	J	`jnl`	Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction. Int. J. Funct. Informatics Pers. Medicine Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2008	—	`conf`	Fast Alignments of Metabolic Networks. BIBM Qiong Cheng, Piotr Berman, Robert W. Harrison, Alexander Zelikovsky
2008	—	`ch.`	Rule Extraction from SVM for Protein Structure Prediction. Rule Extraction from Support Vector Machines Jieyue He, Hae-Jin Hu, Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
2008	J	`jnl`	Type-2 fuzzy logic-based classifier fusion for support vector machines. Appl. Soft Comput. Xiujuan Chen, Yong Li, Robert W. Harrison, Yan-Qing Zhang
2007	—	`conf`	A Feature Selection Algorithm Based on Graph Theory and Random Forests for Protein Secondary Structure Prediction. ISBRA Gulsah Altun, Hae-Jin Hu, Stefan Gremalschi, Robert W. Harrison, Yi Pan
2007	A*	`conf`	AMMP-EXTN: Managing User Privacy and Cooperation Demand in a Collaborative Molecule Modeling Virtual System. VR Wenjun Ma, Ying Zhu, Robert W. Harrison, G. Scott Owen
2007	J	`jnl`	Clustering support vector machines for protein local structure prediction. Expert Syst. Appl. Wei Zhong, Jieyue He, Robert W. Harrison, Phang C. Tai, Yi Pan
2007	—	`conf`	Combining SVM Classifiers Using Genetic Fuzzy Systems Based on AUC for Gene Expression Data Analysis. ISBRA Xiujuan Chen, Yichuan Zhao, Yan-Qing Zhang, Robert W. Harrison
2007	J	`jnl`	Genetic fuzzy classification fusion of multiple SVMs for biomedical data. J. Intell. Fuzzy Syst. Xiujuan Chen, Yong Li, Robert W. Harrison, Yan-Qing Zhang
2007	C	`conf`	Homomorphisms of Multisource Trees into Networks with Applications to Metabolic Pathways. BIBE Qiong Cheng, Robert W. Harrison, Alexander Zelikovsky
2007	J	`jnl`	Parallel protein secondary structure prediction schemes using Pthread and OpenMP over hyper-threading technology. J. Supercomput. Wei Zhong, Gulsah Altun, Xinmin Tian, Robert W. Harrison, Phang C. Tai, Yi Pan
2007	—	`conf`	Statistical Estimate for the Size of the Protein Structural Vocabulary. ISBRA Xuezheng Fu, Bernard Chen, Yi Pan, Robert W. Harrison
2007	C	`conf`	Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction. CIBCB Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2007	C	`conf`	Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction. BIBE Bernard Chen, Stephen Pellicer, Phang C. Tai, Robert W. Harrison, Yi Pan
2007	C	`conf`	Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining. CIBCB Hae-Jin Hu, Hao Wang, Robert W. Harrison, Phang C. Tai, Yi Pan
2006	B	`conf`	A Multi-SVM Fusion Model Using Type-2 FLS. FUZZ-IEEE Xiujuan Chen, Robert W. Harrison, Yan-Qing Zhang, Yu Qiu
2006	—	`conf`	A New Seed Selection Algorithm that Maximizes Local Structural Similarity in Proteins. EMBC Gulsah Altun, Wei Zhong, Yi Pan, Phang C. Tai, Robert W. Harrison
2006	Misc	`conf`	Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction. International Conference on Computational Science (2) Jieyue He, Wei Zhong, Robert W. Harrison, Phang C. Tai, Yi Pan
2006	—	`conf`	Content-based Image Retrieval Using Gabor-Zernike Features. ICPR (2) Xuezheng Fu, Yong Li, Robert W. Harrison, Saeid Belkasim
2006	C	`conf`	FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery. BIBE Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
2006	—	`conf`	Feature Similarity Based Redundancy Reduction for Gene Selection. DMIN Xuezheng Fu, Feng Tan, Hao Wang, Yanqing Zhang, Robert W. Harrison
2006	Misc	`conf`	Hybrid SVM Kernels for Protein Secondary Structure Prediction. GrC Gulsah Altun, Hae-Jin Hu, Dumitru Brinza, Robert W. Harrison, Alexander Zelikovsky, Yi Pan
2006	Misc	`conf`	Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering. GrC Bernard Chen, Phang C. Tai, Robert W. Harrison, Yi Pan
2006	—	`conf`	Pluggable Application Server Framework. EMBC Hao Wang, Feng Tan, Amit Sabnis, Xuezheng Fu, Patra Volarath, Robert W. Harrison
2006	J	`jnl`	Transmembrane segments prediction and understanding using support vector machine and decision tree. Expert Syst. Appl. Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
2005	B	`conf`	AMMP-Vis: a collaborative virtual environment for molecular modeling. VRST Jeffrey W. Chastine, Jeremy C. Brooks, Ying Zhu, G. Scott Owen, Robert W. Harrison, Irene T. Weber
2005	—	`ch.`	Discovery of Local protein sequence motifs using Improved k-means Clustering Technique. Advances in Bioinformatics and Its Applications Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang C. Tai, Yi Pan
2005	—	`conf`	Emphasizing the area of interest using real-time shaders. SIGGRAPH Posters Jeffrey W. Chastine, Jeremy C. Brooks, Ying Zhu, G. Scott Owen, Robert W. Harrison, Irene T. Weber
2005	Misc	`conf`	Fuzzy support vector machines for biomedical data analysis. GrC Xiujuan Chen, Robert W. Harrison, Yanqing Zhang
2005	B	`conf`	Genetic fuzzy fusion of SVM classifiers for biomedical data. Congress on Evolutionary Computation Xiujuan Chen, Robert W. Harrison, Yan-Qing Zhang
2005	—	`conf`	Mining Protein Sequence Motifs Representing Common 3D Structures. CSB Workshops Wei Zhong, Gulsah Altun, Robert W. Harrison, Phang C. Tai, Yi Pan
2005	—	`conf`	Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis. CSB Workshops Bernard Chen, Robert W. Harrison, Yi Pan, Phang C. Tai
2005	—	`conf`	Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier. CSB Workshops Hae-Jin Hu, Phang C. Tai, Robert W. Harrison, Jieyue He, Yi Pan
2005	C	`conf`	RNA Pseudoknot Prediction Using Term Rewriting. BIBE Xuezheng Fu, Hao Wang, William L. Harrison, Robert W. Harrison
2005	—	`conf`	Rule Clustering and Super-rule Generation for Transmembrane Segments Prediction. CSB Workshops Jieyue He, Bernard Chen, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan
2005	—	`conf`	Understanding Protein Structure Prediction Using SVM_DT. ISPA Workshops Jieyue He, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yisheng Dong, Yi Pan
2005	—	`conf`	Web based molecular visualization using procedural shaders in X3D. SIGGRAPH Web Program Feng Liu, G. Scott Owen, Ying Zhu, Robert W. Harrison, Irene T. Weber
2004	—	`conf`	Alternative target functions for protein structure prediction with neural networks. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Hai Deng, Robert W. Harrison, Yi Pan, Phang C. Tai
2004	C	`conf`	Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction. CIBCB Wei Zhong, Gulsah Altun, Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
2004	—	`conf`	Protein secondary structure prediction using different encoding schemes and neural network architectures. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Wei Zhong, Yi Pan, Robert W. Harrison, Phang C. Tai
2004	—	`conf`	Protein secondary structure prediction using support vector machine with advanced encoding schemes. Data Mining and Knowledge Discovery: Theory, Tools, and Technology Hae-Jin Hu, Yi Pan, Robert W. Harrison, Phang C. Tai
2004	C	`conf`	Transmembrane segments prediction with support vector machine based on high performance encoding schemes. CIBCB Hae-Jin Hu, Robert W. Harrison, Phang C. Tai, Yi Pan
1999	J	`jnl`	Integrating quantum and molecular mechanics. J. Comput. Chem. Robert W. Harrison
1993	J	`jnl`	Stiffness and energy conservation in molecular dynamics: An improved integrator. J. Comput. Chem. Robert W. Harrison