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Michael Raymer, Travis Doom, M. Peterson. Knowledge Discovery in Large Biological Data Sets Using Hybrid Classifier/Evolutionary Algorithms. In 2004.
Michael Raymer, Satya S. Sahoo, Cory Henson, William York, Amit Sheth. Ontology Driven Semantic Provenance for Heterogeneous Bionomics Experimental Data. In 2008.  (173.29 KB)
Michael Raymer, A. Kuhn, W. Punch. Knowledge Discovery in Biological Datasets Using a Hybrid Bayes Classifier/Evolutionary Algorithm. In 2001.
Michael Raymer, Travis Doom, M. Peterson. Prediction Enhancement of Protein-Water Binding Conservation through Evolutionary Computation. In 2001.
Michael Raymer. Gaussian Binning: A new Kernel-based Method for Processing NMR Spectroscopic Data for Metabolomics. 2008 ;.
Michael Raymer. Visualization in Bioinformatics. In 2002.
Michael Raymer, David Reynolds, N. Klingbeil, R. Mercer, K. Rattan. The Wright State Model for Engineering Mathematics Education: Uncorking the First-Year Bottleneck. The Wright State Model for Engineering Mathematics Education: Uncorking the First-Year Bottleneck. 2007.
Michael Raymer. Molecular graphics: visualization of proteins. In 2001.
Michael Raymer, M. Peterson, Travis Doom. GA-facilitated cosine classifier optimization with application to the biochemistry of protein-water interactions. In 2002.
Michael Raymer, G. Alter, D. Sweeney, L. Mitchell, P. Erson. Computational and Experimental Methods for High Confidence Protein Structure Prediction. In 2006.
Michael Raymer. Book Review: Evolutionary Computation in Bioinformatics. 2005 ;.
Michael Raymer, Travis Doom, Michael Raymer, J. Gilder. PocketMol: A Molecular Visualization Program for the Pocket PC. In 2001.
Michael Raymer, G. Alter, D. Sweeney, Travis Doom. Profile Combinatorics for Fragment Selection in Comparative Protein Structure Modeling. In 2001.
Michael Raymer. An Overview of Bioinformatics and Computational Biology. In 2000.
Michael Raymer, Dan Krane, D. Paoletti, Travis Doom. Assesing the implications for close relatives in the event of similar but non-matching DNA profiles. 2006 ;.
Michael Raymer. Charting the Winds of Evolutionary Change: Bioinformatics Methods for Identifying Bias in Prokaryotic Codon Usage. In Charting the Winds of Evolutionary Change: Bioinformatics Methods for Identifying Bias in Prokaryotic Codon Usage. 2007.
Michael Raymer, W. Couch, Nicholas J. DelRaso, P. Erson, A. Neuforth, D. Mahle, Nicholas Reo. A Time and Dose Response Metabonomics Study of D-serine Toxicity in Rats. 2008 ;.
Michael Raymer. CSI Revisited: The Science of Forensic DNA Analysis. In 2007.
Michael Raymer. Learning From Nature - Genetic Algorithms Applied to Protein Recognition. In 1996.
Michael Raymer. Fundamental Concepts of Bioinformatics. In 2006.
Michael Raymer. Charting the Winds of Evolutionary Change:  Bioinformatics Methods for Identifying Bias in Prokaryotic Codon Usage. In 2007.
Michael Raymer, E. Goodman, W. Punch, L. Kuhn. Genetic Programming for Improved Data Mining: Application to the Biochemistry of Protein Interactions. In 1996.
Michael Raymer, P. Sanschagrin, L. Kuhn, V. Schnecke. How proteins fold, flex, and bind other molecules. In 1999.
Michael Raymer, Travis Doom, Dan Krane. NSF workshop on incorporating genomics into the undergraduate curriculum II. In 2003.
Michael Raymer, Dan Krane. Fundamental Concepts in Bioinformatics. 2003.
Michael Raymer. Fundamental Concepts of Bioinformatics. In 2007.
Michael Raymer, K. Rattan, David Reynolds, N. Klingbeil, R. Mercer. Work in progress: The WSU model for engineering mathematics education. In 2005.
Mohammadreza Rezvan, Saeedeh Shekarpour, Lakshika Balasuriya, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth. A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research. In Proceedings of the 10th {ACM} Conference on Web Science, WebSci 2018, Amsterdam, The Netherlands, May 27-30, 2018. Amsterdam, The Netherlands: ACM; 2018. p. 33–36.  (398.25 KB)
Robinson J, Derek Doran. Seasonality in dynamic stochastic block models. In Proceedings of the International Conference on Web Intelligence. Leipzig, Germany: ACM; 2017. p. 976–979.
Christine Robson, Jan Pieper, Nachiketa Sahoo, Alfredo Alba, Meenakshi Nagarajan, Daniel Gruhl, Varun Bhagwan, Julia Grace, Kevin Haas. Applications of Voting Theory to Information Mashups. In 2nd IEEE International Conference on Semantic Computing. Santa Clara, CA, USA; 2008.  (216.13 KB)
William Romine, Tanvi Banerjee, William Folk, Lloyd Barrow. What Motivates High School Students to Take Precautions Against the Spread of Influenza? Latent Modeling of Compliance with Preventative Practice: A Data Science Approach. In International Conference on Health Informatics and Medical Systems (HIMS). Las Vegas, Nevada; 2016.  (490.51 KB)
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Yiye Ruan. Joint Dynamic Online Social Network Analytics Using Network, Content and User Characteristics. Computer Science and Engineering. [Columbus]: Ohio State University; 2015. p. 206.
Yiye Ruan, David Fuhry, Jiongqian Liang, Srinivasan Parthasarthy. Community Discovery: Simple and Scalable Approaches. In Human–Computer Interaction Series. Switzerland: Springer International Publishing; 2015. p. 23-54.
Yiye Ruan, Srinivasan Parthasarthy. Simultaneous Detection of Communities and Roles from Large Networks. 2nd ACM Conference on Online Social Networks. New York, NY: ACM; 2014. p. 203-214.  (232.81 KB)
Yiye Ruan, Hemant Purohit, David Fuhry, Srinivasan Parthasarthy, Amit Sheth. Prediction of User Engagement in Online Discussion Using Multi-faceted Features. Dayton: Wright State University; 2013 .
Nathan Rude, Mateen Rizki. Gender classification under extended operating conditions. SPIE. 2014.
Nathan Rude, Derek Doran. Request Type Prediction for Web Robot and Internet of Things Traffic. 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA). Miami, FL: IEEE; 2015. p. 995 - 1000.
Sebastian Rudolph, Markus Krotzsch, Pascal Hitzler. Cheap Boolean Role Constructors for Description Logics. In 11th European Conference on Logics in Artificial Intelligence (JELIA). Dresden, Germany; 2008. p. 362-374.  (160.41 KB)
Sebastian Rudolph, Markus Krotzsch, Pascal Hitzler. Expressive Tractable Description Logics based on SROIQ Rules. 2008.  (0 bytes)
Sebastian Rudolph, Gaston Tagni, Christophe Gueret, Stefan Schlobach, Pascal Hitzler. An Evolutionary Computing Approach for Reasoning in the Semantic Web. In International Workshop on Collective Intelligence and Evolution; 2009.
Sebastian Rudolph, Markus Krotzsch, Pascal Hitzler. Complexity Boundaries for Horn Description Logics. In The 22nd AAAI Conference on Artficial Intelligence. Vancouver, British Columbia, Canada; 2007.  (198.68 KB)
Sebastian Rudolph, Markus Krotzsch, Pascal Hitzler. Terminological Reasoning in SHIQ with Ordered Binary Decision Diagrams. In Terminological Reasoning in SHIQ with Ordered Binary Decision Diagrams. 2008.  (0 bytes)

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