Eric Cator

Orcid: 0000-0003-3873-7983

According to our database1, Eric Cator authored at least 11 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
How to evaluate uncertainty estimates in machine learning for regression?
Neural Networks, 2024

Optimal training of Mean Variance Estimation neural networks.
Neurocomputing, 2024

Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss.
CoRR, 2024

The SIS process on Erdös-Rényi graphs: determining the infected fraction.
CoRR, 2024

2023
Likelihood-ratio-based confidence intervals for neural networks.
CoRR, 2023

2022
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

Confident Neural Network Regression with Bootstrapped Deep Ensembles.
CoRR, 2022

2021
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2019
Attractiveness of Brownian queues in tandem.
Queueing Syst. Theory Appl., 2019

2012
A Decision Support Tool for Strategic Engine Maintenance Planning and Life Limited Parts.
Proceedings of the Concurrent Engineering Approaches for Sustainable Product Development in a Multi-Disciplinary Environment, 2012

2010
Asymptotic expansion of the minimum covariance determinant estimators.
J. Multivar. Anal., 2010


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