Mugizi R. Rwebangira, Ph.D.
Affiliations: | 2008 | Carnegie Mellon University, Pittsburgh, PA |
Area:
statistical machine learningGoogle:
"Mugizi Rwebangira"Mean distance: 18.45 (cluster 29)
Parents
Sign in to add mentor| John Lafferty | grad student | 2008 | Carnegie Mellon | |
| (Techniques for exploiting unlabeled data.) | ||||
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Publications
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| Whitehall K, Mattmann CA, Jenkins G, et al. (2015) Exploring a graph theory based algorithm for automated identification and characterization of large mesoscale convective systems in satellite datasets Earth Science Informatics. 8: 663-675 |
| Li H, Liu C, Rwebangira MR, et al. (2014) Mono-isotope Prediction for Mass Spectra Using Bayes Network. Tsinghua Science and Technology. 19: 617-623 |
| Al Nasr K, Liu C, Rwebangira M, et al. (2013) Intensity-based skeletonization of CryoEM gray-scale images using a true segmentation-free algorithm. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 10: 1289-98 |
| Blum A, Chan THH, Rwebangira MR. (2006) A random-surfer web-graph model Proceedings of the 8th Workshop On Algorithm Engineering and Experiments and the 3rd Workshop On Analytic Algorithms and Combinatorics. 2006: 238-246 |
| Blum A, Lafferty J, Rwebangira MR, et al. (2004) Semi-supervised learning using randomized mincuts Proceedings, Twenty-First International Conference On Machine Learning, Icml 2004. 97-104 |