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Ram Sriram, Amit Sheth. Internet of Things Perspectives. IT Professional. 2015 ;14(3):60-63.  (143.09 KB)
Payam Barnaghi, Amit Sheth. The Internet of Things: The Story So Far. IEEE Internet of Things. 2014 ;.
Amit Sheth. Internet of Things to Smart IoT Through Semantic, Cognitive, and Perceptual Computing. IEEE Intelligent Systems. IEEE; 2016 ;31(2):108-112.
Michael Raymer. Introduction to Bioinformatics. In 2008.
Amanda Hanes. Investigation and Quantification of Codon Usage Bias Trends in Prokaryotes. 2009.
Utkarshani Jaimini, Tanvi Banerjee, William Romine, Krishnaprasad Thirunarayan, Amit Sheth, Maninder Kalra. Investigation of an Indoor Air Quality Sensor for Asthma Management in Children. IEEE Sensors Letters. IEEE; 2017 ;1(2):1-4.  (239.26 KB)
Dan Krane, D. Raiford, E. Heizer, Michael Raymer. An Investigation of Codon Usage Bias Including Visualization and Quantification in Organisms Exhibiting Multiple Biases. In 2006.
Tanvi Banerjee, Amit Sheth. IoT Quality Control for Data and Application Needs. IEEE Intelligent Systems. IEEE; 2017 ;32(2):68-73.  (1.89 MB)
Sheth A, B. Srivastava, Michahelles F. IoT-Enhanced Human Experience. IEEE Internet Computing. 2018 ;22:4-7.  (230.68 KB)
D. Raiford, Dan Krane, Travis Doom, Michael Raymer. Isolation and visualization of codon usage biases. In 2006.
Amit Sheth, Marek Rusinkiewicz, G. Karabatis. Issues in Managing Interdependent Data: Correctness and Enforcement of Specification. In 1993.
Keke Chen, Ling Liu. iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets. 2006 ;.  (0 bytes)
Tong Luo, Thomas Wischgoll, Bon Kwon Koo, Yunlong Huo, Ghassan Kassab. IVUS Validation of Patient Coronary Artery Lumen Area obtained from CT Images. PLoS ONE. 2014 ;9(1).
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Paolo Missier, Satya S. Sahoo, Jun Zhao, Carole Goble, Amit Sheth. Janus: from Workflows to Semantic Provenance and Linked Open Data. In 3rd International Provenance and Annotation Workshop. Troy, NY; 2010.  (594.74 KB)
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.
Cartic Ramakrishnan, Pablo N. Mendes, Rodrigo Da Gama, Guilherme Ferreira, Amit Sheth. Joint Extraction of Compound Entities and Relationships from Biomedical Literature. In Joint Extraction of Compound Entities and Relationships from Biomedical Literature. Sydney, Australia; 2008.  (313.83 KB)
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Sujeeth Thirumalai. Keyword Search Interface to Express Path Queries in RDF. 2007.  (571.2 KB)
Sanjaya Wijeratne, Bahareh Heravi. A Keyword Sense Disambiguation Based Approach for Noise Filtering in Twitter. In 1st Insight Student Conference. Dublin, Ireland: University College Dublin; 2014.  (85.5 KB)
Revathy Venkatramanan, Utkarshani Jaimini, Amit Sheth, Joon K Shim, Priti Parikh, Dene S Berman. kHealth Bariatrics: A Multisensory Approach to Monitoring Patients' Postsurgical Behavior. WSU Celebration of Research, Scholarship, and Creative Activities 2017; 2017.  (436.88 KB)
Amit Sheth, Pramod Anantharam, Krishnaprasad Thirunarayan. kHealth: Proactive Personalized Actionable Information for Better Healthcare. In Workshop on Personal Data Analytics in the Internet of Things (PDA@IOT 2014), collocated at VLDB 2014. Hangzhou, China; 2014.  (1.05 MB)
Ajith Ranabahu, Priti Parikh, Maryam Panahiazar, Amit Sheth, Flora Logan-Klumpler. Kino : A Generic Document Management System for Biologists Using SA-REST and Faceted Search. In Fifth IEEE International Conference on Semantic Computing (ICSC). Palo Alto, CA: Proceedings of the 5th IEEE International Conference on Semantic Computing; 2011.  (394.29 KB)
Christopher Koehler, Thomas Wischgoll. Knowledge Based 3D Reconstruction and Visualization of Human Ribcage and Lungs. IEEE Computer Graphics and Applications. 2010 ;:17-29.
Wonjung Kim. Knowledge Based Personalization. 2001.  (1007.83 KB)
Michael Raymer, Leslie Kuhn, William Punch. Knowledge Discovery in Biological Datasets Using a Hybrid Bayes Classifier/Evolutionary Algorithm. 2003 ;.  (222.6 KB)
Michael Raymer, A. Kuhn, W. Punch. Knowledge Discovery in Biological Datasets Using a Hybrid Bayes Classifier/Evolutionary Algorithm. In 2001.
Guozhu Dong. Knowledge discovery in databases. In 2001.
Michael Raymer, Travis Doom, M. Peterson. Knowledge Discovery in Large Biological Data Sets Using Hybrid Classifier/Evolutionary Algorithms. In 2004.
M. Peterson, Travis Doom, Michael Raymer. Knowledge Discovery in Large Biological Data Sets Using Hybrid Classifier/Evolutionary Algorithms. In 2004.
Vinh Nguyen, Olivier Bodenreider, Todd Minning, Amit Sheth. The Knowledge Driven Exploration of Integrated Biomedical Knowledge Sources Facilitates the Generation of New Hypotheses. In 1st International Conference on Linked Science. Bonn, Germany: Linked Science workshop, ISWC; 2011.  (138.82 KB)
Revathy Krishnamurthy, Pavan Kapanipathi, Amit Sheth, Krishnaprasad Thirunarayan. Knowledge Enabled Approach to Predict the Location of Twitter Users. Fabien Gandon, Marta Sabou, Harald Sack, Claudia d’Amato, Philippe Cudré-Mauroux, Antoine Zimmermann. 12th European Semantic Web Conference (ESWC 2015). Portoroz, Slovenia: Springer International Publishing; 2015. p. 187-201.  (790.96 KB)
Roopteja Muppalla, Sarasi Lalithsena, Tanvi Banerjee, Amit Sheth. A Knowledge Graph Framework for Detecting Traff€ic Events Using Stationary Cameras. In Industrial Knowledge Graphs 2017 Workshop (co-located with 9th International ACM Web Science Conference 2017). Troy, NY; 2017.  (3.03 MB)
Christopher Thomas, Samir Tartir, Satya S. Sahoo, Amit Sheth, William York. Knowledge Modeling and Its Application in Life Sciences: A Tale of Two Ontologies. In 15th International World Wide Web Conference (WWW2006). Edinburgh, Scotland; 2006.  (331.52 KB)
Sanjeev Thacker, Shuchi Patel, Amit Sheth. Knowledge Modeling for Study of Domains and Inter-Domain Relationships - A Learning Paradigm. 2001 ;.
Peter Mika, Ramesh Jain, Amit Sheth. Knowledge Representation on the Semantic Web. In 2007.
Knowledge Sharing, Coordinated Exception Handling, and Intelligent Problem Solving for Cross-Organizational Business Processes. 2001.  (929.26 KB)
Amit Sheth, Sujan Perera, Sanjaya Wijeratne, Krishnaprasad Thirunarayan. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. In 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI). Leipzig, Germany: ACM; 2017.  (701.11 KB)
Amit Sheth, Sujan Perera, Sanjaya Wijeratne. Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples. 2016 .  (994.44 KB)
Sujan Perera. Knowledge-driven Implicit Information Extraction. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 123.  (1.65 MB)
Pramod Anantharam, Tanvi Banerjee, Amit Sheth, Krishnaprasad Thirunarayan, Surendra Marupudi, Vaikunth Sridharan, Shalini Forbis. Knowledge-driven Personalized Contextual mHealth Service for Asthma Management in Children. 2015 IEEE International Conference on Mobile Services. New York, NY: IEEE; 2015. p. 284 - 291.  (1.31 MB)
Ashutosh Jadhav. Knowledge-driven Search Intent Mining. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 180.  (11.11 MB)
Pramod Anantharam. Knowledge-empowered Probabilistic Graphical Models For Physical-cyber-social Systems. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2016. p. 172.  (14.4 MB)
Nishita Jaykumar, PavanKalyan Yallamelli, Vinh Nguyen, Sarasi Lalithsena, Krishnaprasad Thirunarayan, Amit Sheth. KnowledgeWiki: An OpenSource Tool for Creating Community-Curated Vocabulary, with a Use Case in Materials Science. In World Wide Web 2016. Montreal, Canada; 2016.  (904.53 KB) (1.82 MB)
Pascal Hitzler. Kontraktionssatze auf verallgemeinerten metrischen Raumen. In 2001.  (0 bytes)
Gudrun Kalmbach, Pascal Hitzler. Kursarbeit mit Schulern - die Intensivkurse Mathematik. In 2007.
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Shaojun Wang, F. Peng, D. Schuurmans. Language and Task Independent Text Categorization Using Character Level N-Gram Language Models. 2003 ;.
F. Peng, Shaojun Wang, D. Schuurmans. Language Independent Automated Authorship Attribution with Character Level N-Gram Language Modeling. In Language Independent Automated Authorship Attribution with Character Level N-Gram Language Modeling. 2003.
F. Peng, Shaojun Wang, D. Schuurmans. Latent Maximum Entropy Approach for Semantic N-gram Language Modeling. In 2003.
Shaojun Wang, Y. Zhao, D. Schuurmans, R. Rosenfeld. The Latent Maximum Entropy Principle. In The Latent Maximum Entropy Principle. 2002.
Shaojun Wang, Y. Zhao, R. Rosenfeld. Latent Maximum Entropy Principle for Statistical Language Modeling. In 2001.
Shaojun Wang, D. Schuurmans. Learning Continuous Latent Variable Models with Bregman Divergences. In Learning Continuous Latent Variable Models with Bregman Divergences. 2003.

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