Daniel Ries

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Target Detection

Hyperspectral Images

Feature Importance

Measurement Error

Top Venues

J. Comput. Inf. Sci. Eng.

Publications

Daniel Ries, Jason Adams, Joshua Zollweg
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks. CoRR (2023)
Daniel Ries, Joshua Michalenko, Tyler Ganter, Rashad Imad-Fayez Baiyasi, Jason Adams
Comparing the quality of neural network uncertainty estimates for classification problems. CoRR (2023)
Daniel Ries, Adah Zhang, J. Derek Tucker, Kurtis Shuler, Madeline Ausdemore
A Framework for Inverse Prediction Using Functional Response Data. J. Comput. Inf. Sci. Eng. 23 (1) (2023)
Katherine Goode, Daniel Ries, Kellie McClernon
Characterizing climate pathways using feature importance on echo state networks. CoRR (2023)
Daniel Ries, Joshua Michalenko, Tyler Ganter, Rashad Imad-Fayez Baiyasi, Jason Adams
Comparing the quality of neural network uncertainty estimates for classification problems. ICMLA (2022)
Rajeev Sahay, Daniel Ries, Joshua D. Zollweg, Christopher G. Brinton
Hyperspectral Image Target Detection Using Deep Ensembles for Robust Uncertainty Quantification. ACSCC (2021)
Katherine Goode, Daniel Ries, Joshua Zollweg
Explaining Neural Network Predictions for Functional Data Using Principal Component Analysis and Feature Importance. CoRR (2020)