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	Wang, Dong     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending Date Reviewed     1 - 3 of 3 reviews       Regularized non-negative matrix factorization for identifying differentially expressed genes and clustering samples: a survey Liu J., Wang D., Gao Y., Zheng C., Xu Y., Yu J. IEEE/ACM Transactions on Computational Biology and Bioinformatics 15(3): 974-987, 2018.  Type: Article This paper surveys the application of non-negative matrix factorization (NMF), a well-known dimensionality reduction technique in bioinformatics “for identifying differentially expressed genes and clustering samples.̶...... Apr 5 2019     Social sensing: building reliable systems on unreliable data Wang D., Abdelzaher T., Kaplan L., Morgan Kaufmann Publishers Inc., San Francisco, CA, 2015. 232 pp.  Type: Book (978-0-128008-67-6) Social sensing is one of the newest concepts of the Internet, fueled by the growth of sensors. The increasing need for communication and connectivity while one is on the move makes up a very important characteristic of social sensing. ...... May 18 2016     On truth discovery in social sensing: a maximum likelihood estimation approach Wang D., Kaplan L., Le H., Abdelzaher T.  IPSN 2012 (Proceedings of the 11th International Conference on Information Processing in Sensor Networks, Beijing, China, Apr 16-20, 2012) 233-244, 2012.  Type: Proceedings Truth discovery in noisy social sensing data represents a challenging task. This paper presents a maximum likelihood estimation algorithm that computes the probability that a given measurement is true based on sensory data collected th...... Jun 1 2012
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