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Eric Cator
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2020 – today
- 2024
- [j5]Laurens Sluijterman
, Eric Cator
Optimal training of Mean Variance Estimation neural networks. Neurocomputing 597: 127929 (2024) - [j4]Laurens Sluijterman
How to evaluate uncertainty estimates in machine learning for regression? Neural Networks 173: 106203 (2024) - [i8]O. S. Awolude, Eric Cator, H. Don:
The SIS process on Erdös-Rényi graphs: determining the infected fraction. CoRR abs/2403.12560 (2024) - [i7]Laurens Sluijterman, Frank Kreuwel, Eric Cator, Tom Heskes:
Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss. CoRR abs/2406.02293 (2024) - 2023
- [i6]Laurens Sluijterman, Eric Cator, Tom Heskes:
Optimal Training of Mean Variance Estimation Neural Networks. CoRR abs/2302.08875 (2023) - [i5]Laurens Sluijterman, Eric Cator, Tom Heskes:
Likelihood-ratio-based confidence intervals for neural networks. CoRR abs/2308.02221 (2023) - 2022
- [j3]Erwin de Gelder
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles. IEEE Trans. Intell. Transp. Syst. 23(10): 18794-18807 (2022) - [i4]Laurens Sluijterman, Eric Cator, Tom Heskes:
Confident Neural Network Regression with Bootstrapped Deep Ensembles. CoRR abs/2202.10903 (2022) - [i3]Erwin de Gelder, Jasper Hof, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Jeroen Ploeg, Bart De Schutter:
Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles. CoRR abs/2202.12025 (2022) - 2021
- [c2]Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles. IV Workshops 2021: 203-208 - [i2]Laurens Sluijterman, Eric Cator, Tom Heskes:
How to Evaluate Uncertainty Estimates in Machine Learning for Regression? CoRR abs/2106.03395 (2021) - [i1]Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter:
Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles. CoRR abs/2107.05278 (2021)
2010 – 2019
- 2019
- [j2]Eric A. Cator, Sergio I. López
Attractiveness of Brownian queues in tandem. Queueing Syst. Theory Appl. 92(1-2): 25-45 (2019) - 2012
- [c1]Adel A. Ghobbar, Eric A. Cator, Angel F. Mayordomo:
A Decision Support Tool for Strategic Engine Maintenance Planning and Life Limited Parts. CE 2012: 449-461 - 2010
- [j1]Eric A. Cator, Hendrik P. Lopuhaä:
Asymptotic expansion of the minimum covariance determinant estimators. J. Multivar. Anal. 101(10): 2372-2388 (2010)
Coauthor Index
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