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Controlled abstention neural networks for identifying skillful
  predictions for regression problems

Controlled abstention neural networks for identifying skillful predictions for regression problems

Journal of Advances in Modeling Earth Systems (JAMES), 2021
16 April 2021
E. Barnes
R. Barnes
ArXiv (abs)PDFHTML

Papers citing "Controlled abstention neural networks for identifying skillful predictions for regression problems"

9 / 9 papers shown
Title
Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation
Bayesian Deep Learning for Convective Initiation Nowcasting Uncertainty Estimation
Da Fan
David John Gagne II
S. Greybush
E. Clothiaux
John S. Schreck
Chaopeng Shen
UQCVBDL
140
0
0
22 Jul 2025
Predicting Tropical Cyclone Track Forecast Errors using a Probabilistic Neural NetworkArtificial Intelligence for the Earth Systems (AI4ES), 2025
M. A. Fernandez
E. Barnes
R. Barnes
Mark DeMaria
Marie McGraw
Galina Chirokova
Lixin Lu
BDL
130
0
0
12 Mar 2025
Abstaining Machine Learning -- Philosophical Considerations
Abstaining Machine Learning -- Philosophical Considerations
Daniela Schuster
113
0
0
01 Sep 2024
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation
  for Earth System Science Applications
Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science ApplicationsArtificial Intelligence for the Earth Systems (AI4ES), 2023
John S. Schreck
D. Gagne
Charlie Becker
William E. Chapman
K. Elmore
...
Vanessa M. Pryzbylo
Jacob T. Radford
B. Saavedra
Justin Willson
Christopher D. Wirz
BDLUDOODUQCVEDL
272
18
0
22 Sep 2023
Handling Label Uncertainty on the Example of Automatic Detection of
  Shepherd's Crook RCA in Coronary CT Angiography
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT AngiographyIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Felix Denzinger
M. Wels
O. Taubmann
Florian Kordon
Fabian Wagner
...
F. André
S. Buss
Johannes Görich
M. Sühling
Andreas Maier
92
0
0
22 May 2023
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep
  Neural Networks: The Case of Reject Option and Post-training Processing
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training ProcessingACM Computing Surveys (ACM Comput. Surv.), 2023
M. Hasan
Moloud Abdar
Abbas Khosravi
U. Aickelin
Pietro Lio
Ibrahim Hossain
Ashikur Rahman
Saeid Nahavandi
262
5
0
11 Apr 2023
Evaluation of Machine Learning Techniques for Forecast Uncertainty
  Quantification
Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification
M. Sacco
J. J. Ruiz
M. Pulido
P. Tandeo
UQCV
453
14
0
29 Nov 2021
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental
  Sciences -- Version 1
CIRA Guide to Custom Loss Functions for Neural Networks in Environmental Sciences -- Version 1
I. Ebert‐Uphoff
Ryan Lagerquist
Kyle Hilburn
Yoonjin Lee
Katherine Haynes
Jason Stock
C. Kumler
J. Stewart
139
23
0
17 Jun 2021
Controlled abstention neural networks for identifying skillful
  predictions for classification problems
Controlled abstention neural networks for identifying skillful predictions for classification problemsJournal of Advances in Modeling Earth Systems (JAMES), 2021
E. Barnes
R. Barnes
187
8
0
16 Apr 2021
1