Rob Goedhart

Orcid: 0000-0001-9966-0284

According to our database1, Rob Goedhart authored at least 13 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Improving understanding and trust in AI: How users benefit from interval-based counterfactual explanations.
CoRR, April, 2026

Prediction of Depression Relapse Using Machine Learning With Administrative Data: Balancing Complexity and Simplicity.
Qual. Reliab. Eng. Int., 2026

2025
Clinicians’ Voice: Fundamental Considerations for XAI in Healthcare.
Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024
Comparison of threshold tuning methods for predictive monitoring.
Qual. Reliab. Eng. Int., February, 2024

Finding Regions of Counterfactual Explanations via Robust Optimization.
INFORMS J. Comput., 2024

2023
Monitoring high-dimensional heteroscedastic processes using rank-based EWMA methods.
Comput. Ind. Eng., October, 2023

Fixing confirmation bias in feature attribution methods via semantic match.
CoRR, 2023

Semantic match: Debugging feature attribution methods in XAI for healthcare.
Proceedings of the Conference on Health, Inference, and Learning, 2023

2022
Why we do need Explainable AI for Healthcare.
CoRR, 2022

Improved control chart performance using cautious parameter learning.
Comput. Ind. Eng., 2022

2020
Processing new types of quality data.
Qual. Reliab. Eng. Int., 2020

On the design of control charts with guaranteed conditional performance under estimated parameters.
Qual. Reliab. Eng. Int., 2020

2018
The performance of control charts for large non-normally distributed datasets.
Qual. Reliab. Eng. Int., 2018


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