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Machine learning to predict rapid progression of carotid atherosclerosis in patients with impaired glucose tolerance.

, , , , , , and . EURASIP J. Bioinformatics and Systems Biology, (2016)

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Measuring User Credibility in Social Media., and . SBP, volume 7812 of Lecture Notes in Computer Science, page 441-448. Springer, (2013)Scalable learning of users' preferences using networked data., , and . HT, page 4-12. ACM, (2014)Social Media Mining: An Introduction, , and . Cambridge University Press, (2014)Convergence of Influential Bloggers for Topic Discovery in the Blogosphere., , , , and . SBP, volume 6007 of Lecture Notes in Computer Science, page 406-412. Springer, (2010)TweetTracker: An Analysis Tool for Humanitarian and Disaster Relief., , , and . ICWSM, The AAAI Press, (2011)Understanding social media users via attributes and links.. SIGWEB Newsl., 2015 (Summer): 3:1 (2015)Am i more similar to my followers or followees?: analyzing homophily effect in directed social networks., , , and . HT, page 200-205. ACM, (2014)Understanding Social Media Users via Attributes and Links.. Arizona State University, Tempe, USA, (2014)base-search.net (ftarizonastateun:item:27500).Reinforcement Distribution in a Team of Cooperative Q-learning Agents., and . SNPD, page 154-160. IEEE Computer Society, (2008)Real-World Behavior Analysis through a Social Media Lens., , , and . SBP, volume 7227 of Lecture Notes in Computer Science, page 18-26. Springer, (2012)