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Travis Doom, Michael Raymer, M. Peterson. GA-facilitated classifier optimization with varying similarity measures. 2005 ;.
Michael Raymer, M. Peterson, Travis Doom. GA-facilitated cosine classifier optimization with application to the biochemistry of protein-water interactions. In 2002.
M. Peterson, Michael Raymer, Travis Doom. GA-Facilitated KNN Classifier Optimization with Varying Similarity Measures. In 2005.
M. Peterson, Michael Raymer, Travis Doom. GA-facilitated knowledge discovery and pattern recognition optimization applied to the biochemistry of protein solvation. In 2004.
Xiaotong Liu, Srinivasan Parthasarthy, Han-Wei Shen, Yifan Hu. GalaxyExplorer: Influence-Driven Visual Exploration of Context-Specific Social Media Interactions. In 24th International Conference on World Wide Web. Florence, Italy; 2015.
Michael Raymer. Gaussian Binning: A new Kernel-based Method for Processing NMR Spectroscopic Data for Metabolomics. 2008 ;.
P. Erson, Michael Raymer, Nicholas Reo, Nicholas J. DelRaso. Gaussian Binning for Processing NMR Spectroscopic Data for Metabolomics. 2008 ;.
Nathan Rude, Mateen Rizki. Gender classification under extended operating conditions. SPIE. 2014.
Hemant Purohit, Tanvi Banerjee, Andrew Hampton, Valerie Shalin, Nayanesh Bhandutia, Amit Sheth. Gender-based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. First Monday. 2016 ;21(1-4).
Hemant Purohit, Tanvi Banerjee, Andrew Hampton, Valerie Shalin, Nayanesh Bhandutia, Amit Sheth. Gender-Based Violence in 140 Characters or Fewer: A #BigData Case Study of Twitter. Dayton: Wright State University; 2015 .  (955.68 KB)
Zhaohui Zheng, Hongyuan Zha, Gordon Sun, Olivier Chapelle, Keke Chen, Tong Zhang. A General Boosting Method and its Application to Learning Ranking Functions for Web Search. In A General Boosting Method and its Application to Learning Ranking Functions for Web Search. 2007.  (0 bytes)
Anthony K. Seda, Pascal Hitzler. Generalized Distance Functions in the Theory of Computation. The Computer Journal. 2010 ;:443-464.  (391.22 KB)
Anthony K. Seda, Pascal Hitzler. Generalized Metrics and Uniquely Determined Logic Programs. Theoretical Computer Science. 2003 ;:187-219.  (419.06 KB)
P. Sanschagrin, E. Goodman, W. F. Punch III, L. Kuhn, Michael Raymer. Genetic Algorithm Prediction of Water-mediated Ligand Interactions and the Implications for the Chemistry of Water Binding. In 1995.
D. Raiford, Doug Raiford, Dan Krane, Travis Doom, Michael Raymer. A Genetic Optimization Approach for Isolating Translational Efficiency Bias. IEEE Control Systems Society. 2008 ;.
Douglas Raiford, Dan Krane, Travis Doom, Michael Raymer. A Genetic Optimization Approach for Isolating Translational Efficiency Bias. IEEE/ACM Transactions on Computational Biology and Bioinformatics. IEEE Computer Society Press; 2009 ;8(2):342-352.  (1.85 MB)
W. Punch, Michael Raymer, L. Kuhn, E. Goodman. Genetic Programming for Improved Data Mining – Application to the Biochemistry of Protein Interactions. In 1996.
Michael Raymer, E. Goodman, W. Punch, L. Kuhn. Genetic Programming for Improved Data Mining: Application to the Biochemistry of Protein Interactions. In 1996.
Keke Chen, Ling Liu. Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining. Journal of Knowledge and Information Systems (KAIS). 2011 ;.  (1.21 MB)
Keke Chen, Ling Liu. Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining. Journal of Knowledge and Information Systems (KAIS). 2010 ;.  (1.21 MB)
Matthew Perry, Ismailcem Budak Arpinar, Amit Sheth, Farshad Hakimpour. Geospatial and Temporal Semantic Analytics. In 2007.  (400.05 KB)
Cartic Ramakrishnan, Amit Sheth, M. Kwan, E. L. Usery, Ismailcem Budak Arpinar, M. Azami. Geospatial Ontology Development and Semantic Analytics. Transactions in GIS. 2006 ;:551-575.  (752.65 KB)
Amit Sheth, F. Fonseca. The Geospatial Semantic Web. 2002.  (84.74 KB)
Ashwin Manjunatha, Ajith Ranabahu, Paul Anderson, Amit Sheth. Getting Code Near the Data: A Study of Generating Customized Data Intensive Scientific Workflows with Domain Specific Language. In 2nd IEEE International Conference on Cloud Computing Technology and Science. Indianapolis, IN; 2010.  (728.25 KB)
Kalpa Gunaratna, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Gleaning Types for Literals in RDF Triples with Application to Entity Summarization. Harald Sack, Eva Blomqvist, Mathieu d'Aquin, Chiara Ghidini, Simone P. Ponzetto, Christoph Lange. 13th International Conference, ESWC 2016. Heraklion, Crete, Greece: Springer International Publishing; 2016. p. 85-100.  (1.13 MB) (488 KB)
Christopher Thomas. GlycO Ontology. In 2007.  (2.31 MB)
Satya S. Sahoo. Glycomics Project Overview. In 2007.  (5.63 MB)
William York, Amit Sheth, Cory Henson, Christopher Thomas, Satya S. Sahoo. GLYDE-an expressive XML standard for the representation of glycan structure. Carbohydr Res. 2005 ;.  (159.16 KB)
Angela Maduko. Graph summaries for Optimizing Graph Pattern Queries on RDF Databases. 2009.
Angela Maduko, Kemafor Anyanwu, Paul Schliekelman, Amit Sheth. Graph Summaries for Subgraph Frequency Estimation. In 5th European Semantic Web Conference (ESWC2008). Tenerife, Spain; 2008.  (329.27 KB)
Delroy Cameron, Olivier Bodenreider, Hima Yalamanchili, Tu Danh, Sreeram Vallabhaneni, Krishnaprasad Thirunarayan, Amit Sheth, Thomas C. Rindflesch. A Graph-Based Recovery and Decomposition of Swanson's Hypothesis using Semantic Predications. 2012.  (915.51 KB)
Delroy Cameron, Olivier Bodenreider, Hima Yalamanchili, Tu Danh, Sreeram Vallabhaneni, Krishnaprasad Thirunarayan, Amit Sheth, Thomas Rindflesch. A Graph-Based Recovery and Decomposition of Swanson's Hypothesis using Semantic Predications. Journal of Biomedical Informatics. 2013 ;46(2):238-251.  (915.51 KB)
Christopher Thomas, Roger Brooks, Pankaj Mehra, Amit Sheth. Growing Fields of Interest -Using an Expand and Reduce Strategy for Domain Model Extraction. In Growing Fields of Interest -Using an Expand and Reduce Strategy for Domain Model Extraction. 2008.  (0 bytes)
Geetika T. Lakshmanan, Juliana Freire, Francisco Curbera, Amit Sheth. Guest Editors' Introduction: Provenance in Web Applications. IEEE Internet Computing. 2011 ;:17-21.
Geetika T. Lakshmanan, Juliana Freire, Amit Sheth. Guest Editors' Introduction: Provenance in Web Applications. 2011 ;.  (1009.42 KB)
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Edupuganti V. Harassment Detection on Twitter using Conversations. Computer Science. [Dayton]: Wright State University; 2017.  (1.88 MB)
Sarasi Lalithsena, Pavan Kapanipathi, Amit Sheth. Harnessing Relationships for Domain-specific Subgraph Extraction: A Recommendation Use Case. In IEEE International Conference on Big Data. Washington D.C.; 2016.  (670.22 KB)
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
Kemafor Anyanwu, Amit Sheth, John Miller, Jorge Cardoso, Krzysztof Kochut. Healthcare Enterprise Process Development and Integration. 2003.  (134.07 KB)
Keke Chen, Ling Liu. HE-Tree: a Framework for Detecting Changes in Clustering Structure for Categorical Data Streams. 2009 ;.
Pavan Kapanipathi, Prateek Jain, Chitra Venkataramani, Amit Sheth. Hierarchical Interest Graph from Tweets. Kyuseok Shim, Torsten Suel. 3rd International World Wide Web Conference. Seoul, South Korea: ACM; 2014.  (248.6 KB)
Thomas Wischgoll. High Speed Capturing in the Area of Earthquake Research. 2003.
Utkarshani Jaimini, Krishnaprasad Thirunarayan, Maninder Kalra, Revathy Venkataramanan, Dipesh Kadariya, Amit Sheth. ``How Is My Child's Asthma?'' Digital Phenotype and Actionable Insights for Pediatric Asthma. JMIR Pediatr Parent. JMIR Pediatr Parent; 2018 ;1:e11988.  (1.03 MB)
Michael Raymer, P. Sanschagrin, L. Kuhn, V. Schnecke. How proteins fold, flex, and bind other molecules. In 1999.
Prateek Jain, Pascal Hitzler, Amit Sheth, Peter Z. Yeh, Kunal Verma. How To Make Linked Data More than Data. In Semantic Technology Conference 2010. San Francisco, California; 2010.  (1.65 MB)

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