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Cancer
Soon Jye Kho, Yalamanchili HBindu, Raymer ML, Amit Sheth. A Novel Approach for Classifying Gene Expression Data using Topic Modeling. In 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Boston, MA: ACM; 2017.  (754.03 KB)
cardiology
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)
Amit Sheth, Ronald Boyd, Ken Murdison, Warren Karp, Jeanne Baffa, Michael Brumnd, Jatinder Bhatia. A Low-Cost Web-Based Tool for Pediatric Echocardiographic Consultation. Clinical Pediatrics; 2003. p. 185-186.  (139.8 KB)
cardiovascular diseases
Ashutosh Jadhav, Amit Sheth, Jyotishman Pathak. An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases. In AMIA Annual Symposium 2014. Washington, D.C.; 2014.  (78.67 KB)
Ashutosh Jadhav, Amit Sheth, Jyotishman Pathak. Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal. AMIA Annual Symposium 2014. Washington, D.C.: American Medical Informatics Association; 2014. p. 739-748.  (373.5 KB)
cevo
Saeedeh Shekarpour, Alshargi F, Krishnaprasad Thirunarayan, Valerie L. Shalin, Amit Sheth. CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation on Relations. In The 13th IEEE International Conference on Semantic Computng. Newport Beach, California: IEEE; 2019.  (488.83 KB)
Chatbot for Healthcare
Dipesh Kadariya, Revathy Venkataramanan, Hong Yung Yip, Maninder Kalra, Thirunarayan Krishnaprasad, Amit Sheth. kBot: Knowledge-enabled Personalized Chatbot for Asthma Self-Management. In 5th IEEE International Coference on Smart Computing (SMARTCOMP 2019). Washington DC: IEEE; 2019.  (278.92 KB)
circle of knowledge life
Amit Sheth, Christopher Thomas, Pankaj Mehra. Continuous Semantics to Analyze Real-Time Data. IEEE Internet Computing. 2010 ;14:84-89.  (2.75 MB)
circuits
E. J. Cameron, L. A. Ness, Amit Sheth. An Executor for Multidatabase Transactions which Achieves Maximal Parallelism. 1st International Workshop on Interoperability in Multidatabase Systems (IMS 1991). Kyoto, Japan: IEEE; 1991. p. 288 - 291.  (329.28 KB)
Citizen sensing
Pramod Anantharam, Payam Barnaghi, Krishnaprasad Thirunarayan, Amit Sheth. Extracting City Traffic Events from Social Streams. ACM Transactions on Intelligent Systems and Technology. 2015 ;6(4):2-27.  (2.5 MB)
Amit Sheth. Citizen Sensing Opportunities and Challenges in Mining Social Signals and Perceptions. In 2011.  (0 bytes)
Meenakshi Nagarajan, Amit Sheth, Selvam Velmurugan. Citizen Sensor Data Mining, Social Media Analytics and Development Centric Web Applications. WWW 2011; 2011.  (20.77 MB)
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).
Ugur Kursuncu, Manas Gaur, Usha Lokala, Krishnaprasad Thirunarayan, Amit Sheth, Ismailcem Budak Arpinar. Predictive Analysis on Twitter: Techniques and Applications. In Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. Dayton: Springer; 2018. p. 39-79.  (514.1 KB)
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)
Amit Sheth, Hemant Purohit, Gary Alan Smith, Jeremy Brunn, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Wenbo Wang. Twitris: A System for Collective Social Intelligence. In: Reda Alhajj, Jon Rokne. Encyclopedia of Social Network Analysis and Mining. 2nd ed. New York: Springer-Verlag New York; 2018. p. 1-23.  (1.18 MB)
Payam Barnaghi, Amit Sheth, Cory Henson. From Data to Actionable Knowledge: Big Data Challenges in the Web of Things. IEEE Intelligent Systems. 2013 ;28(6):6-11.  (218.02 KB)
Amit Sheth, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Hemant Purohit, Gary Alan Smith, Wenbo Wang. Twitris: A System for Collective Social Intelligence. In: Reda Alhajj, Jon Rokne. Encyclopedia of Social Network Analysis and Mining. 1st ed. New York: Springer-Verlag New York; 2014. p. 2240-2253.  (2.21 MB)
Hemant Purohit, Amit Sheth, Carlos Castillo, Patrick Meier. Crisis Mapping, Citizen Sensing and Social Media Analytics: Leveraging Citizen Roles for Crisis Response. In 7th International AAAI Conference on Weblogs and Social Media. Cambridge, MA; 2013.
Citizen Sensor Data
Amit Sheth. Semantic Integration of Citizen Sensor Data and Multilevel Sensing: A Comprehensive Path Towards Event Monitoring and Situational Awareness. In From E-Gov to Connected Governance: the Role of Cloud Computing, Web 2.0 and Web 3.0 Semantic Technogologies; 2009.  (12.2 MB)
city events
Pramod Anantharam, Payam Barnaghi, Krishnaprasad Thirunarayan, Amit Sheth. Extracting City Traffic Events from Social Streams. ACM Transactions on Intelligent Systems and Technology. 2015 ;6(4):2-27.  (2.5 MB)
city traffic events
Pramod Anantharam, Krishnaprasad Thirunarayan, Surendra Marupudi, Amit Sheth, Tanvi Banerjee. Understanding City Traffic Dynamics Utilizing Sensor and Textual Observations. In 30th AAAI Conference on Artificial Intelligence (AAAI-16). Phoenix, Arizona; 2016.  (2.05 MB) (5.96 MB)
Classification
Soon Jye Kho, Yalamanchili HBindu, Raymer ML, Amit Sheth. A Novel Approach for Classifying Gene Expression Data using Topic Modeling. In 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Boston, MA: ACM; 2017.  (754.03 KB)
Clinical entity recognition
Sujan Perera, Pablo Mendes, Amit Sheth, Krishnaprasad Thirunarayan, Adarsh Alex, Christopher Heid, Greg Mott. Implicit Entity Recognition in Clinical Documents. 4th Joint Conference on Lexical and Computational Semantics (*SEM) 2015. Denver, CO: Association for Computational Linguistics; 2015. p. 228-238.  (300.69 KB) (332.44 KB)
clinical knowledgebase
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)
clocks
E. J. Cameron, L. A. Ness, Amit Sheth. An Executor for Multidatabase Transactions which Achieves Maximal Parallelism. 1st International Workshop on Interoperability in Multidatabase Systems (IMS 1991). Kyoto, Japan: IEEE; 1991. p. 288 - 291.  (329.28 KB)
Cloud Computing and Cirrocumulus and Mobile Computing
Krishnaprasad Thirunarayan, Ajith Ranabahu, Ashwin Manjunatha, Amit Sheth. Towards Cloud Mobile Hybrid Application Generation using Semantically Enriched Domain Specific Languages. In International Workshop on Mobile Computing and Clouds (MobiCloud 2010); 2010.  (1.03 MB)
cloud computing and mobicloud and application development
Ajith Ranabahu, Michael Maximilien, Amit Sheth, Krishnaprasad Thirunarayan. A Domain Specific Language for Enterprise Grade Cloud-Mobile Hybrid Applications. Proceedings of the 11th Workshop on Domain-Specific Modeling. Portland, Oregon: ACM; 2011. p. 77-84 .  (838.25 KB)
clustering
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)
Lu Chen, Justin Martineau, Doreen Cheng, Amit Sheth. Clustering for Simultaneous Extraction of Aspects and Features from Reviews. In North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL: HLT). San Diego, California: NAACL; 2016.  (299.4 KB)
Soon Jye Kho, Yalamanchili HBindu, Raymer ML, Amit Sheth. A Novel Approach for Classifying Gene Expression Data using Topic Modeling. In 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Boston, MA: ACM; 2017.  (754.03 KB)

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