10 citations · 17 across the 5 of their papers we have counts for
7 papers
A Factor-Based Framework for Decision-Making Competency Self-Assessment
Brett W. Israelsen, Nisar Ahmed
We summarize our efforts to date in developing a framework for generating succinct human-understandable competency self-assessments in terms of machine self confidence, i.e. a robo…
Time Dependence in Kalman Filter Tuning
Zhaozhong Chen, Christoffer Heckman, Simon Julier +1
In this paper, we propose an approach to address the problems with ambiguity in tuning the process and observation noises for a discrete-time linear Kalman filter. Conventional app…
Explaining Conditions for Reinforcement Learning Behaviors from Real and Imagined Data
Aastha Acharya, Rebecca Russell, Nisar R. Ahmed
The deployment of reinforcement learning (RL) in the real world comes with challenges in calibrating user trust and expectations. As a step toward developing RL systems that are ab…
In Automation We Trust: Investigating the Role of Uncertainty in Active Learning Systems
Michael L. Iuzzolino, Tetsumichi Umada, Nisar R. Ahmed +1
We investigate how different active learning (AL) query policies coupled with classification uncertainty visualizations affect analyst trust in automated classification systems. A…
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…
Decentralized Gaussian Mixture Fusion through Unified Quotient Approximations
Nisar R. Ahmed
This work examines the problem of using finite Gaussian mixtures (GM) probability density functions in recursive Bayesian peer-to-peer decentralized data fusion (DDF). It is shown…