Eric Cator - RankMe

15 papers Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Composite quantile regression with XGBoost using the novel arctan pinball loss. Int. J. Mach. Learn. Cybern. Laurens Sluijterman, Frank Kreuwel, Eric Cator, Tom Heskes
2025	J	`jnl`	Confident neural network regression with Bootstrapped Deep Ensembles. Neurocomputing Laurens Sluijterman, Eric Cator, Tom Heskes
2025	J	`jnl`	Likelihood-ratio-based confidence intervals for neural networks. Mach. Learn. Laurens Sluijterman, Eric Cator, Tom Heskes
2024	J	`jnl`	Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss. CoRR Laurens Sluijterman, Frank Kreuwel, Eric Cator, Tom Heskes
2024	J	`jnl`	How to evaluate uncertainty estimates in machine learning for regression? Neural Networks Laurens Sluijterman, Eric Cator, Tom Heskes
2024	J	`jnl`	Optimal training of Mean Variance Estimation neural networks. Neurocomputing Laurens Sluijterman, Eric Cator, Tom Heskes
2024	J	`jnl`	The SIS process on Erdös-Rényi graphs: determining the infected fraction. CoRR O. S. Awolude, Eric Cator, H. Don
2023	J	`jnl`	Likelihood-ratio-based confidence intervals for neural networks. CoRR Laurens Sluijterman, Eric Cator, Tom Heskes
2023	J	`jnl`	Optimal Training of Mean Variance Estimation Neural Networks. CoRR Laurens Sluijterman, Eric Cator, Tom Heskes
2022	J	`jnl`	Confident Neural Network Regression with Bootstrapped Deep Ensembles. CoRR Laurens Sluijterman, Eric Cator, Tom Heskes
2022	J	`jnl`	Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles. CoRR Erwin de Gelder, Jasper Hof, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Jeroen Ploeg, Bart De Schutter
2022	J	`jnl`	Scenario Parameter Generation Method and Scenario Representativeness Metric for Scenario-Based Assessment of Automated Vehicles. IEEE Trans. Intell. Transp. Syst. Erwin de Gelder, Jasper Hof, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Jeroen Ploeg, Bart De Schutter
2021	—	`conf`	Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles. IV Workshops Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter
2021	J	`jnl`	Constrained Sampling from a Kernel Density Estimator to Generate Scenarios for the Assessment of Automated Vehicles. CoRR Erwin de Gelder, Eric Cator, Jan-Pieter Paardekooper, Olaf Op den Camp, Bart De Schutter
2021	J	`jnl`	How to Evaluate Uncertainty Estimates in Machine Learning for Regression? CoRR Laurens Sluijterman, Eric Cator, Tom Heskes