Library

Export 1460 results:
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
R
Michael Raymer. Fundamental Concepts of Bioinformatics. In 2008.
Michael Raymer. Balanced Accuracy for Feature Subset Selection with Genetic Algorithms. In 2005.
Michael Raymer, Leslie Kuhn, William Punch. Knowledge Discovery in Biological Datasets Using a Hybrid Bayes Classifier/Evolutionary Algorithm. 2003 ;.  (222.6 KB)
Michael Raymer, Dan Krane. Fundamental Concepts in Bioinformatics. 2003.
Michael Raymer. Gaussian Binning: A new Kernel-based Method for Processing NMR Spectroscopic Data for Metabolomics. 2008 ;.
Michael Raymer. Computational Biology for Drug Design: Understanding how proteins and waters interact. In 2001.
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. Book Review: Evolutionary Computation in Bioinformatics. 2005 ;.
Michael Raymer. Visualization in Bioinformatics. In 2002.
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, 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, G. Alter, D. Sweeney, L. Mitchell, P. Erson. Computational and Experimental Methods for High Confidence Protein Structure Prediction. In 2006.
Michael Raymer, G. Alter, D. Sweeney, Travis Doom. Profile Combinatorics for Fragment Selection in Comparative Protein Structure Modeling. In 2001.
R
Michael Raymer. An Overview of Bioinformatics and Computational Biology. In 2000.
Michael Raymer, S. Ford, J. Gilder, Travis Doom, Dan Krane. Systematic differences in electropherogram peak heights reported by different version of the Genescan software. Journal of Forensic Science. 2004 ;.
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. 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, 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, 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.
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)
C. Rowl, R. V. Van Trees, M. Taylor, Michael Raymer, Dan Krane. Was the Shawnee War Chief Blue Jacket a Caucasian?. 2006 ;.
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 .
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.
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. On the Complexity of Horn Description Logics. In Second Workshop OWL - Experiences and Directions, OWLED2006; 2006.  (0 bytes)
Sebastian Rudolph, Markus Krotzsch, Pascal Hitzler. Description Logic Reasoning with Decision Diagrams: Compiling SHIQ to Disjunctive Datalog. In The Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 2008. Karlsruhe, Germany: The Semantic Web - ISWC 2008, 7th International Semantic Web Conference; 2008. p. 435-450.  (150.02 KB)
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. Conjunctive Queries for a Tractable Fragment of OWL 1.1. In 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC. Busan, Korea: The Semantic Web, 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ISWC 2007 + ASWC; 2007. p. 310-323.  (133.64 KB)
Sebastian Rudolph, Markus Krotzsch, Michael Sintek, Denny Vrandecic, Pascal Hitzler. Efficient OWL Reasoning with Logic Programs - Evaluations. In International Conference on Web Reasoning and Rule Systems, RR2007. Innsbruck, Austria; 2007. p. 370-373.  (106.23 KB)
Sebastian Rudolph, Markus Krotzsch, Tuvshintur Tserendorj, Pascal Hitzler. Approximate OWL Instance Retrieval with Screech. In Approximate OWL Instance Retrieval with Screech. 2008.  (0 bytes)

Pages