Interactive visualization of retinal astrocyte images. - Panuakdet Suwannatat; Gabriel Luna; Brian E. Ruttenberg; R. Raviv; Geoffrey P. Lewis; Steven K. Fisher; Tobias Höllerer (ISBI, 2011)

Indexing the Earth Mover's Distance Using Normal Distributions. - Brian E. Ruttenberg; Ambuj K. Singh (Proc. VLDB Endow., 2011)

A Latent Parameter Node-Centric Model for Spatial Networks - Nicholas D. Larusso; Brian E. Ruttenberg; Ambuj K. Singh (CoRR, 2012)

Quantifying spatial relationships from whole retinal images. - Brian E. Ruttenberg; Gabriel Luna; Geoffrey P. Lewis; Steven K. Fisher; Ambuj K. Singh (Bioinform., 2013)

Hierarchical Reasoning with Probabilistic Programming. - Brian E. Ruttenberg; Matthew P. Wilkins; Avi Pfeffer (StarAI@AAAI, 2014)

Hierarchical management of large-scale malware data. - Lee Kellogg; Brian E. Ruttenberg; Alison O'Connor; Michael Howard; Avi Pfeffer (IEEE BigData, 2014)

Identifying Shared Software Components to Support Malware Forensics. - Brian E. Ruttenberg; Craig Miles; Lee Kellogg; Vivek Notani; Michael Howard; Charles LeDoux; Arun Lakhotia; Avi Pfeffer (DIMVA, 2014)

Decision-Making with Complex Data Structures using Probabilistic Programming. - Brian E. Ruttenberg; Avi Pfeffer (CoRR, 2014)

Reasoning on resident space object hierarchies using probabilistic programming. - Brian E. Ruttenberg; Matthew P. Wilkins; Avi Pfeffer (FUSION, 2015)

Lazy Factored Inference for Functional Probabilistic Programming. - Avi Pfeffer; Brian E. Ruttenberg; Amy Sliva; Michael Howard; Glenn Takata (CoRR, 2015)

Structured Factored Inference: A Framework for Automated Reasoning in Probabilistic Programming Languages. - Avi Pfeffer; Brian E. Ruttenberg; William Kretschmer (CoRR, 2016)

Probabilistic Programming for Malware Analysis. - Brian E. Ruttenberg; Lee Kellogg; Avi Pfeffer (CoRR, 2016)

Probabilistic Modeling of Insider Threat Detection Systems. - Brian E. Ruttenberg; Dave Blumstein; Jeff Druce; Michael Howard; Fred Reed; Leslie Wilfong; Crystal Lister; Steve Gaskin; Meaghan Foley; Daniel Scofield (GraMSec@CSF, 2017)

Artificial Intelligence Based Malware Analysis. - Avi Pfeffer; Brian E. Ruttenberg; Lee Kellogg; Michael Howard; Catherine Call; Alison O'Connor; Glenn Takata; Scott Neal Reilly; Terry Patten; Jason Taylor; Robert Hall; Arun Lakhotia; et al. (CoRR, 2017)

Structured Factored Inference for Probabilistic Programming. - Avi Pfeffer; Brian E. Ruttenberg; William Kretschmer; Alison O'Connor (AISTATS, 2018)

Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations. - Michael Harradon; Jeff Druce; Brian E. Ruttenberg (CoRR, 2018)