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Kamer Yuksel, Sergio Biggemann, Amit Sheth, Jeremy Brunn. Using Social Media Data to Understand Brand Development. In 2016 Direct/Interactive Marketing Research Summit. Los Angeles, CA: Marketing EDGE; 2016.  (135.98 KB)
William York, Satya S. Sahoo, Amit Sheth, John Miller. Semantic Web Services for N-glycosylation Process. In International Symposium on Web Services for Computational Biology and Bioinformatics. Blacksburg, VA; 2005.  (17.69 KB)
William York, Amit Sheth, Cory Henson, Christopher Thomas, Satya S. Sahoo. GLYDE-an expressive XML standard for the representation of glycan structure. Carbohydr Res. 2005 ;.  (159.16 KB)
William York, Satya S. Sahoo, Amit Sheth, B. Hunter. Sembowser - Semantic Biological Web Services Registry. In 2007.
William York, Amit Sheth, B. Hunter, Satya S. Sahoo. SemBOWSER - Semantic Biological Web Services Registry. In 2006.
K. Yen, Shaojun Wang, Y. Zhao. Recursive Estimation of Time-Varying Environments for Robust Speech Recognition. In Recursive Estimation of Time-Varying Environments for Robust Speech Recognition. 2001.
M. Yefimova, Z. Hajihashemi, Tanvi Banerjee, D. Woods, M. Popescu, M. Rantz, M. Skubic, J. Keller. Daily Routines of Older Adults: A Novel Method of Measurement. In 67th Scientific Meeting of the Gerontological Society of America. Washington DC; 2014.
M. Yefimova, Z. Hajihashemi, Tanvi Banerjee, D. Woods, M. Popescu, M. Skubic, M. Rantz, J. Keller, M. Keller. Characterizing Trajectories of Daily Routines of Older Adults with Sensor Technology. In 7th Western Institute of Nursing Communicating Research Conference. Seattle, WA; 2014.
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)
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Tanvi Banerjee, Krishnaprasad Thirunarayan, Jyotishman Pathak, Amit Sheth. Analyzing Clinical Depressive Symptoms in Twitter. In 23rd NIMH Conference on Mental Health Services Research (MHSR): Harnessing Science to Strengthen the Public Health Impact. Bethesda, MD; 2016.  (1.98 MB)
Xintian Yang, Yiye Ruan, Srinivasan Parthasarthy, Amol Ghoting. Summarization via Pattern Utility and Ranking: A Novel Framework for Social Media Data Analytics. Bulletin of the Technical Committee on Data Engineering. 2013 ;36(3):67-76.  (284.47 KB)
Hua Yan, Keke Chen, Ling Liu. Determining the Best K for Clustering Transactional Datasets: A Coverage Density-based Approach. 2008 ;.  (536 KB)
Hua Yan, Keke Chen, Ling Liu. Efficiently Clustering Transactional Data with Weighted Coverage Density. In Efficiently Clustering Transactional Data with Weighted Coverage Density. 2006.  (0 bytes)
Hua Yan, Keke Chen, Ling Liu, Zhang Yi. SCALE: a Scalable Framework for Efficiently Clustering Large Transactional Data. Journal of Data Mining and Knowledge Discovery (DMKD). 2010 ;.  (349.91 KB)