Justin Sahs

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 4

Top Topics

Level Set Evolution

Relational Learning

Top Venues

Publications

Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Fabio Anselmi, Ankit B. Patel
Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics. Frontiers Artif. Intell. 5 (2022)
Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Ankit Patel
Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics. CoRR (2020)
Justin Sahs, Latifur Khan
Online Classification of Nonstationary Streaming Data with Dynamic Pitman-Yor Diffusion Trees. ICTAI (2017)
Justin Sahs
Bayesian nonparametric relational learning with the broken tree process. ISI (2016)
Swarup Chandra, Justin Sahs, Latifur Khan, Bhavani M. Thuraisingham, Charu C. Aggarwal
Stream Mining Using Statistical Relational Learning. ICDM (2014)
David Sounthiraraj, Justin Sahs, Garret Greenwood, Zhiqiang Lin, Latifur Khan
SMV-Hunter: Large Scale, Automated Detection of SSL/TLS Man-in-the-Middle Vulnerabilities in Android Apps. NDSS (2014)
Justin Sahs, Latifur Khan
A Machine Learning Approach to Android Malware Detection. EISIC (2012)