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Machine learning consensus scoring improves performance across targets in structure-based virtual screening. Ericksen S, Wu H, Zhang H, Michael L, Newton M, Hoffmann FM, Wildman S. Journal of Chemical Information and Modeling 57(7):1579–1590, 2017.

A review of active learning approaches to experimental design for uncovering biological networks. Sverchkov Y, Craven M. PLoS Computational Biology, 2017.

Adaptive signal recovery on graphs via harmonic analysis for experimental design in neuroimaging. Kim WH, Hwang SJ, Adluru N, Johnson SC, Singh V. Proceedings of the 14th European Conference on Computer Vision (ECCV), Volume 9910 Lecture Notes in Computer Science, 2016.

Experimental design on a budget for sparse linear models and applications. Ravi SN, Ithapu VK, Johnson SC, Singh V. Proceedings of the 33rd International Conference on Machine Learning (ICML), 2016.

Anytime exploration for multi-armed bandits using confidence information. Jun K-S, Nowak R. Proceedings of the 33rd International Conference on Machine Learning (ICML), 2016.