Robert W. Harrison
Orcid: 0000-0003-2449-1214
According to our database1,
Robert W. Harrison
authored at least 88 papers
between 1993 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
On csauthors.net:
Bibliography
2022
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022
2021
Proceedings of the IEEE International Conference on Communications Workshops, 2021
2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
2019
Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2019
2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications.
IEEE ACM Trans. Comput. Biol. Bioinform., 2017
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017
Proceedings of the 28th International Workshop on Database and Expert Systems Applications, 2017
2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
2015
BMC Bioinform., December, 2015
A Distributed Greedy Heuristic for Computing Voronoi Tessellations with Applications Towards Peer-to-Peer Networks.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015
2014
Proceedings of the IEEE 4th International Conference on Computational Advances in Bio and Medical Sciences, 2014
Optimization of relational database usage involving Big Data a model architecture for Big Data applications.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014
FDT 2.0: Improving scalability of the fuzzy decision tree induction tool - integrating database storage.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health, 2014
A novel approach to determine docking locations using fuzzy logic and shape determination.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Proceedings of the 13th SIAM International Conference on Data Mining, 2013
Proceedings of the IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, 2013
Using triangulation to include target structure improves drug resistance prediction accuracy.
Proceedings of the IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, 2013
A deterministic-stochastic crossover algorithm for simulation of complex biochemical systems.
Proceedings of the IEEE 3rd International Conference on Computational Advances in Bio and Medical Sciences, 2013
2012
IEEE Comput. Intell. Mag., 2012
Protein model assessment using extented fuzzy decision tree with spatial neighborhood features.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012
2011
A Continuous-Time, Discrete-State Method for Simulating the Dynamics of Biochemical Systems.
IEEE ACM Trans. Comput. Biol. Bioinform., 2011
Understandable learning machine system design for Transmembrane or Embedded Membrane segments prediction.
Int. J. Data Min. Bioinform., 2011
Prediction of Regulatory sRNAs in Prokaryotes using Machine Learning Tools.
Proceedings of the BIOINFORMATICS 2011, 2011
Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011
2010
Int. J. Funct. Informatics Pers. Medicine, 2010
Proceedings of the ICDMW 2010, 2010
Simulation of oscillatory dynamics of blood testosterone levels using the crossover method.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010
Identifying essential features for the classification of real and pseudo microRNAs precursors using fuzzy decision trees.
Proceedings of the 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2010
Protein Model Assessment via Improved Fuzzy Decision Tree.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2010
2009
Granular Decision Tree and Evolutionary Neural SVM for Protein Secondary Structure Prediction.
Int. J. Comput. Intell. Syst., 2009
Novel efficient granular computing models for protein sequence motifs and structure information discovery.
Int. J. Comput. Biol. Drug Des., 2009
Prediction and Classification of Real and Pseudo MicroRNA Precursors via Data Fuzzification and Fuzzy Decision Trees.
Proceedings of the Bioinformatics Research and Applications, 5th International Symposium, 2009
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2009
A Novel Deterministic-Stochastic Crossover Method for Simulating Biochemical Networks.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009
Tri-Cluster-Tri-Scheme-Training: Exploiting Unlabeled Data for Transmembrane Segments Prediction.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009
2008
Proceedings of the Rule Extraction from Support Vector Machines, 2008
Efficient Super Granular SVM Feature Elimination (Super GSVM-FE) model for protein sequence motif information extraction.
Int. J. Funct. Informatics Pers. Medicine, 2008
Int. J. Data Min. Bioinform., 2008
Appl. Soft Comput., 2008
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008
2007
Parallel protein secondary structure prediction schemes using Pthread and OpenMP over hyper-threading technology.
J. Supercomput., 2007
J. Intell. Fuzzy Syst., 2007
Expert Syst. Appl., 2007
AMMP-EXTN: Managing User Privacy and Cooperation Demand in a Collaborative Molecule Modeling Virtual System.
Proceedings of the IEEE Virtual Reality Conference, 2007
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007
Combining SVM Classifiers Using Genetic Fuzzy Systems Based on AUC for Gene Expression Data Analysis.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007
A Feature Selection Algorithm Based on Graph Theory and Random Forests for Protein Secondary Structure Prediction.
Proceedings of the Bioinformatics Research and Applications, Third International Symposium, 2007
Understanding the Prediction of Transmembrane Proteins by Support Vector Machine using Association Rule Mining.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007
Super Granular SVM Feature Elimination (Super GSVM-FE) Model for Protein Sequence Motif Informnation Extraction.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007
Homomorphisms of Multisource Trees into Networks with Applications to Metabolic Pathways.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
Super Granular Shrink-SVM Feature Elimination (Super GS-SVM-FE) Model for Protein Sequence Motif Information Extraction.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007
2006
Transmembrane segments prediction and understanding using support vector machine and decision tree.
Expert Syst. Appl., 2006
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006
Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction.
Proceedings of the Computational Science, 2006
Novel Clustering Algorithm Combined With DSSP Post Processing For Protein Sequence Motif Discovering.
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006
Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
A New Seed Selection Algorithm that Maximizes Local Structural Similarity in Proteins.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Feature Similarity Based Redundancy Reduction for Gene Selection.
Proceedings of the 2006 International Conference on Data Mining, 2006
FIK Model: Novel Efficient Granular Computing Model for Protein Sequence Motifs and Structure Information Discovery.
Proceedings of the Sixth IEEE International Symposium on BioInformatics and BioEngineering (BIBE 2006), 2006
2005
Proceedings of the ACM Symposium on Virtual Reality Software and Technology, 2005
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2005
Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2005
Proceedings of the Parallel and Distributed Processing and Applications, 2005
Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005
Protein Secondary Structure Prediction Using Support Vector Machine With a PSSM Profile and an Advanced Tertiary Classifier.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005
Novel Hybrid Hierarchical-K-means Clustering Method (H-K-means) for Microarray Analysis.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005
Proceedings of the IEEE Congress on Evolutionary Computation, 2005
Proceedings of the Fifth IEEE International Symposium on Bioinformatic and Bioengineering (BIBE 2005), 2005
Discovery of Local protein sequence motifs using Improved k-means Clustering Technique.
Proceedings of the Advances in Bioinformatics and Its Applications, 2005
2004
Protein secondary structure prediction using different encoding schemes and neural network architectures.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2004
Protein secondary structure prediction using support vector machine with advanced encoding schemes.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2004
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2004
Factoring tertiary classification into binary classification improves neural network for protein secondary structure prediction.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004
Transmembrane segments prediction with support vector machine based on high performance encoding schemes.
Proceedings of the 2004 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2004
1999
1993
J. Comput. Chem., 1993