Rob Goedhart

According to our database, Rob Goedhart authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Monitoring high-dimensional heteroscedastic processes using rank-based EWMA methods.

Zezhong Wang, Rob Goedhart, Inez Maria Zwetsloot

Comput. Ind. Eng., October, 2023

Fixing confirmation bias in feature attribution methods via semantic match.

Giovanni Cinà, Daniel Fernandez-Llaneza, Nishant Mishra, Tabea E. Röber, Sandro Pezzelle, Iacer Calixto, Rob Goedhart, S. Ilker Birbil

CoRR, 2023

Finding Regions of Counterfactual Explanations via Robust Optimization.

Donato Maragno, Jannis Kurtz, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil, Dick den Hertog

CoRR, 2023

Semantic match: Debugging feature attribution methods in XAI for healthcare.

Giovanni Cinà, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil

Proceedings of the Conference on Health, Inference, and Learning, 2023

2022

Why we do need Explainable AI for Healthcare.

Giovanni Cinà, Tabea Röber, Rob Goedhart, S. Ilker Birbil

CoRR, 2022

Improved control chart performance using cautious parameter learning.

Leo C. E. Huberts, Rob Goedhart, Ronald J. M. M. Does

Comput. Ind. Eng., 2022

2020

Processing new types of quality data.

Ronald J. M. M. Does, Rob Goedhart, William H. Woodall

Qual. Reliab. Eng. Int., 2020

On the design of control charts with guaranteed conditional performance under estimated parameters.

Ronald J. M. M. Does, Rob Goedhart, William H. Woodall

Qual. Reliab. Eng. Int., 2020

2018

The performance of control charts for large non-normally distributed datasets.

Leo C. E. Huberts, Marit Schoonhoven, Rob Goedhart, Mandla D. Diko, Ronald J. M. M. Does

Qual. Reliab. Eng. Int., 2018