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location extraction
Sanjaya Wijeratne, Amit Sheth, Shreyansh Bhatt, Lakshika Balasuriya, Hussein S. Al-Olimat, Manas Gaur, Amir Hossein Yazdavar, Krishnaprasad Thirunarayan. Feature Engineering for Twitter-based Applications. In Feature Engineering for Machine Learning and Data Analytics. New York: Chapman and Hall. Data Mining and Knowledge Discovery Series; 2018. p. 359-393.  (684.81 KB)
location-centric processing
Shruti Kar, Hussein S. Al-Olmat, Krishnaprasad Thirunarayan, Valerie Shalin, Amit Sheth, Srinivasan Parthasarathy. D-record: Disaster Response and Relief Coordination Pipeline. In Proceedings of the ACM SIGSPATIAL International Workshop on Advances in Resilient and Intelligent Cities (ARIC 2018). Seattle, Washington: ACM; 2018.  (1.32 MB)
Lod federated query
Prateek Jain, Pascal Hitzler, Amit Sheth, Peter Z. Yeh, Kunal Verma. How To Make Linked Data More than Data. In Semantic Technology Conference 2010. San Francisco, California; 2010.  (1.65 MB)
LoD ontology
Prateek Jain, Pascal Hitzler, Amit Sheth, Peter Z. Yeh, Kunal Verma. How To Make Linked Data More than Data. In Semantic Technology Conference 2010. San Francisco, California; 2010.  (1.65 MB)
LoD Schema
Prateek Jain, Pascal Hitzler, Amit Sheth, Peter Z. Yeh, Kunal Verma. How To Make Linked Data More than Data. In Semantic Technology Conference 2010. San Francisco, California; 2010.  (1.65 MB)
LoD Schema Entichment
Prateek Jain, Pascal Hitzler, Amit Sheth, Peter Z. Yeh, Kunal Verma. How To Make Linked Data More than Data. In Semantic Technology Conference 2010. San Francisco, California; 2010.  (1.65 MB)
LoD Semantic Enrichment
Prateek Jain, Pascal Hitzler, Amit Sheth, Peter Z. Yeh, Kunal Verma. How To Make Linked Data More than Data. In Semantic Technology Conference 2010. San Francisco, California; 2010.  (1.65 MB)
log likelihood
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)
logically parallel language
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)
Loperamide
Raminta Daniulaityte, Robert Carlson, Russel Falck, Delroy Cameron, Sujan Udayanga, Lu Chen, Amit Sheth. A Web-Based Study of Self-Treatment of Opioid Withdrawal Symptoms with Loperamide. In College on Problems of Drug Dependence (CPDD). The College on Problems of Drug Dependence (CPDD), Palm Springs, CA USA, June 9-14, 2012: College on Problems of Drug Dependence (CPDD) ; 2012.  (433.83 KB)
Raminta Daniulaityte, Robert Carlson, Russel Falck, Delroy Cameron, Sujan Perera, Lu Chen, Amit Sheth. I Just Wanted to Tell You That Loperamide WILL WORK: A Web-Based Study of Extra-Medical Use of Loperamide. Drug Alcohol Dependence. 2013 ;130(1-3):241-244.  (284.07 KB)
machine learning
Mahdavinejad MSaeid, Mohammadreza Rezvan, Mohammadamin Barekatain, Peyman Adibi, Payam Barnaghi, Amit Sheth. Machine Learning for Internet of Things Data Analysis: A Survey. Digital Communication and Networks [Internet]. ELSEVIER; 2017 ;. http://www.sciencedirect.com/science/article/pii/S235286481730247X (673.83 KB)
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)
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)
Raminta Daniulaityte, Lu Chen, Francois R. Lamy, Robert Carlson, Krishnaprasad Thirunarayan, Amit Sheth. "When 'Bad' is 'Good'"': Identifying Personal Communication and Sentiment in Drug-Related Tweets. JMIR Public Health Surveillance. JMIR Publications; 2016 ;2.
Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William Romine, Amit Sheth. What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, and Prevention. JMIR Public Health Surveillance. JMIR Publications; 2017 ;3:e38.
machine learning algorithms
Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit Sheth. Harnessing Twitter ‘Big Data’ for Automatic Emotion Identification. 2012 International Conference on Social Computing (SocialCom). Amsterdam, The Netherlands: IEEE; 2012. p. 587-592.  (156.44 KB)
Mapping
Amit Sheth, Meenakshi Nagarajan, Kunal Verma, John Miller. Ontology Driven Data Mediation in Web Services. International Journal of Web Services Research. 2007 ;.  (761.7 KB)
Matching
Amit Sheth, Meenakshi Nagarajan, Kunal Verma, John Miller. Ontology Driven Data Mediation in Web Services. International Journal of Web Services Research. 2007 ;.  (761.7 KB)
matlab
Ajith Ranabahu, Paul Anderson, Kalpa Gunaratna, Amit Sheth. A Study in Hadoop Streaming with Matlab for NMR Data Processing. In 2nd IEEE International Conference on Cloud Computing Technology and Science. 2010.  (346.93 KB)
maximal parallelism
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)
MediaAnywhere
Amit Sheth. Content Management, Metadata and Semantic Web. In Content Management, Metadata and Semantic Web. 2001.
medical record similarity
Sarasi Lalithsena, Luis Tari, Anna Von-Reden, Benjamin Wilson, Brian Kolowitz, John Kalafut, Steven Gustafson, Amit Sheth. Feedback-Driven Radiology Exam Report Retrieval with Semantics. In 2015 IEEE International Conference on Healthcare Informatics. Dallas, Texas; 2015.  (591.92 KB)
Mental Health
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi, Goonmeet Bajaj, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media. In Advances in Social Networks Analysis and Mining (ASONAM). Sydney, Australia: Advances in Social Networks Analysis and Mining (ASONAM), 2017 IEEE/ACM International Conferance on; 2017.  (438.42 KB)
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)
Mental Health Disorder
Soon Jye Kho, Swati Padhee, Goonmeet Bajaj, Krishnaprasad Thirunarayan, Amit Sheth. Domain-specific Use Cases for Knowledge-enabled Social Media Analysis. In Emerging Research Challenges and Opportunities in Social Network Analysis and Mining. Dayton: Springer,2018; 2018.  (199.49 KB)
Message-level heterogeneities
Amit Sheth, Meenakshi Nagarajan, Kunal Verma, John Miller. Ontology Driven Data Mediation in Web Services. International Journal of Web Services Research. 2007 ;.  (761.7 KB)

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