103 citations · 174 across the 13 of their papers we have counts for
4 papers · 1 filter
Kalman Filter Tuning with Bayesian Optimization
Zhaozhong Chen, Nisar Ahmed, Simon Julier +1
Many state estimation algorithms must be tuned given the state space process and observation models, the process and observation noise parameters must be chosen. Conventional tunin…
Federated Learning for Coalition Operations
D. Verma, S. Calo, S. Witherspoon +8
Machine Learning in coalition settings requires combining insights available from data assets and knowledge repositories distributed across multiple coalition partners. In tactical…
NeuroMask: Explaining Predictions of Deep Neural Networks through Mask Learning
Moustafa Alzantot, Amy Widdicombe, Simon Julier +1
Deep Neural Networks (DNNs) deliver state-of-the-art performance in many image recognition and understanding applications. However, despite their outstanding performance, these mod…
Nose Heat: Exploring Stress-induced Nasal Thermal Variability through Mobile Thermal Imaging
Youngjun Cho, Nadia Bianchi-Berthouze, Manuel Oliveira +2
Automatically monitoring and quantifying stress-induced thermal dynamic information in real-world settings is an extremely important but challenging problem. In this paper, we expl…