Justin Sahs

According to our database, Justin Sahs authored at least 7 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics.

Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Fabio Anselmi, Ankit B. Patel

Frontiers Artif. Intell., 2022

2020

Shallow Univariate ReLu Networks as Splines: Initialization, Loss Surface, Hessian, & Gradient Flow Dynamics.

Justin Sahs, Ryan Pyle, Aneel Damaraju, Josue Ortega Caro, Onur Tavaslioglu, Andy Lu, Ankit B. Patel

CoRR, 2020

2017

Online Classification of Nonstationary Streaming Data with Dynamic Pitman-Yor Diffusion Trees.

Justin Sahs, Latifur Khan

Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

2016

Bayesian nonparametric relational learning with the broken tree process.

Justin Sahs

Proceedings of the IEEE Conference on Intelligence and Security Informatics, 2016

2014

SMV-Hunter: Large Scale, Automated Detection of SSL/TLS Man-in-the-Middle Vulnerabilities in Android Apps.

David Sounthiraraj, Justin Sahs, Garret Greenwood, Zhiqiang Lin, Latifur Khan

Proceedings of the 21st Annual Network and Distributed System Security Symposium, 2014

Stream Mining Using Statistical Relational Learning.

Swarup Chandra, Justin Sahs, Latifur Khan, Bhavani Thuraisingham, Charu C. Aggarwal

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2012

A Machine Learning Approach to Android Malware Detection.

Justin Sahs, Latifur Khan

Proceedings of the 2012 European Intelligence and Security Informatics Conference, 2012