219 citations · 312 across the 8 of their papers we have counts for
8 papers
ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems
Harry Li, Steven Jorgensen, John Holodnak +1
Recently, uncertainty-aware deep learning methods for multiclass labeling problems have been developed that provide calibrated class prediction probabilities and out-of-distributio…
Derivation and Extensions of the Tolles-Lawson Model for Aeromagnetic Compensation
Albert R. Gnadt, Allan B. Wollaber, Aaron P. Nielsen
This note is intended to serve as a straightforward reference that summarizes and expands on the linear aeromagnetic compensation model first introduced by Tolles and Lawson in 195…
Developing a Series of AI Challenges for the United States Department of the Air Force
Vijay Gadepally, Gregory Angelides, Andrei Barbu +39
Through a series of federal initiatives and orders, the U.S. Government has been making a concerted effort to ensure American leadership in AI. These broad strategy documents have…
Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification
Steven Jorgensen, John Holodnak, Jensen Dempsey +6
With the increasing prevalence of encrypted network traffic, cyber security analysts have been turning to machine learning (ML) techniques to elucidate the traffic on their network…
Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022
James Holt, Edward Raff, Ahmad Ridley +7
The workshop will focus on the application of AI to problems in cyber security. Cyber systems generate large volumes of data, utilizing this effectively is beyond human capabilitie…
On the Effectiveness of Mode Exploration in Bayesian Model Averaging for Neural Networks
John T. Holodnak, Allan B. Wollaber
Multiple techniques for producing calibrated predictive probabilities using deep neural networks in supervised learning settings have emerged that leverage approaches to ensemble d…
Light Curves and Spectra from a Unimodal Core-Collapse SuperNova
Ryan T. Wollaeger, Aimee L. Hungerford, Chris L. Fryer +3
To assess the effectiveness of optical emission as a probe of spatial asymmetry in core-collapse supernovae (CCSNe), we apply the radiative transfer software, \supernu, to a unimod…
Impact of ejecta morphology and composition on the electromagnetic signatures of neutron star mergers
Ryan T. Wollaeger, Oleg Korobkin, Christopher J. Fontes +7
The electromagnetic transients accompanying compact binary mergers (-ray bursts, afterglows and 'macronovae') are crucial to pinpoint the sky location of gravitational wave sour…