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Kinect depth data
Tanvi Banerjee, James Keller, Marjorie Skubie. Building a framework for recognition of activities of daily living from depth images using fuzzy logic. 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Beijing, China: IEEE; 2014. p. 540 - 547.
Kinect depth images
Moein Enayati, Tanvi Banerjee, Mihail Popescu, Marjorie Skubic, Marilyn Rantz. A novel web-based depth video rewind approach toward fall preventive interventions in hospitals. 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Chicago, IL: IEEE; 2014. p. 4511 - 4514.
Kino
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)
knowledge acquisition
Sujan Perera, Cory Henson, Krishnaprasad Thirunarayan, Amit Sheth, Suhas Nair. Data Driven Knowledge Acquisition Method for Domain Knowledge Enrichment in Healthcare. In International Conference on Bioinformatics and Biomedicine. Philadelphia, USA: International Conference on Bioinformatics and Biomedicine; 2012.  (799.91 KB)
Knowledge Discovery
William Milnor, Matthew Perry, Cartic Ramakrishnan, Amit Sheth. Discovering Informative Connection Subgraphs in Multi-Relational Graphs. Special Issue: Link Mining, SIGKDD Exploration, 7 (no. 2). SIGKDD Exploration; 2005 ;:56-63.  (1.77 MB)
Amit Sheth, Boanerges Aleman-Meza, Ismailcem Budak Arpinar, Chris Halaschek, Cartic Ramakrishnan, Clemns Bertram, Yashodhan Warke, David Avant, F. S. Arpinar, Kemafor Anyanwu, Krys Kochut. Semantic Association Identification and Knowledge Discovery for National Security Applications. Journal of Database Management, Special Issue: Database Technology for Enhancing National Security. IGI Global; 2005 ;16(1):33-53.  (875.31 KB)
Cartic Ramakrishnan. Extracting, Representing and Mining Semantic Metadata from Text: Facilitating Knowledge Discovery in Biomedicine. 2008.  (39.68 MB)
Devan Palaniswami, Matthew Eavenson, Ismailcem Budak Arpinar, Boanerges Aleman-Meza, Amit Sheth. Semantic Analytics in Intelligence: Applying Semantic Association Discovery to Determine Relevance of Heterogeneous Documents. In 2006.  (1.1 MB)
Amit Sheth, M. Fisher. Semantic Enterprise Content Management. In 2004.  (381.38 KB)
Delroy Cameron, Amit Sheth, C. Ramakrishnan, Pablo N. Mendes, Krishnaprasad Thirunarayan, Christopher Thomas. Ontology Supported Knowledge Discovery in the Field of Human Performance and Cognition. Wright-Patterson Air Force Base; 2009.  (7.2 MB)
Planning and Optimizing Semantic Information Requests Using Domain Modeling and Resource Characteristics. 2001.  (191.63 KB)
Payam Barnaghi, Amit Sheth. On Searching the Internet of Things: Requirements and Challenges. IEEE Intelligent Systems. IEEE; 2016 ;32(6):71-75.
Knowledge Engineering
Pramod Anantharam, Payam Barnaghi, Amit Sheth. Data Processing and Semantics for Advanced Internet of Things (IoT) Applications: modeling, annotation, integration, and perception. International Conference on Web Intelligence, Mining, and Semantics (WIMS '13). Madrid, Spain: ACM; 2013.  (154.65 KB)
Knowledge Enhanced Learning
Hemant Purohit. Mining Behavior of Citizen Sensor Communities to Improve Cooperation with Organizational Actors. Department of Computer Science and Engineering. [Dayton]: Wright State University; 2015. p. 154.  (6.65 MB)
Knowledge Exploration
Delroy Cameron, Pablo N. Mendes, Amit Sheth, Victor Chan. Semantics-Empowered Text Exploration for Knowledge Discovery. In 48th ACM Southeast Conference Oxford Mississippi, April 15-17, 2010. Oxford, Mississippi: ACM; 2010.  (582.78 KB)
knowledge graph
Raxit Goswam, Neil Shah, Amit Sheth. ezDI's semantics-enhanced linguistic, NLP, and ML approach for health informatics. In 14th International Semantic Web Conference (ISWC 2015). Bethlehem, PA; 2015.  (223.53 KB)
Kalpa Gunaratna, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan, Amit Sheth, Gong Cheng. Relatedness-based Multi-Entity Summarization. In In IJCAI: proceedings of the conference (Vol. 2017, p. 1060). Sydney, Australia; 2017. p. 1060.  (271.38 KB)
Knowledge graphs
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)
Edgard Marx, Konrad Hoffner, Saeedeh Shekarpour, Axel-Cyrille Ngonga Ngomo, Jens Lehmann, Sören Auer. Exploring Term Networks for Semantic Search over RDF Knowledge Graphs. Emmanouel Garoufallou, Imma Subirats Coll, Armando Stellato, Jane Greenberg. Metadata and Semantics Research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Cham: Springer International Publishing; 2016. p. 249–261.  (432.38 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)
knowledge-driven querying
Amir Asiaee, Prashant Doshi, Todd Minning, Satya Sahoo, Priti Parikh, Amit Sheth, Rick Tarleton. From Questions to Effective Answers: On the Utility of Knowledge-Driven Querying Systems for Life Sciences Data. 9th International Conference on Data Integration in the Life Sciences (DILS '13). Montreal, Canada; 2013.  (301.35 KB)

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