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Results: 27
Number of items: 27
  • Open Access
    Röber, T. E. (2026). Interpretable machine learning: Optimization-based explanations and human-centered evaluation. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Röber, T. E., Goedhart, R., & Birbil, Ş. İ. (2025). Clinicians’ Voice: Fundamental Considerations for XAI in Healthcare. Proceedings of Machine Learning Research, 298. https://proceedings.mlr.press/v298/rober25a.html
  • Open Access
    Dollée, N., Alsma, J., Goedhart, R., Bultstra, A., Haagsma, J. A., & Hoek, A. E. (2025). Exertional heat stroke. Are we cool enough? Retrospective observational study of patients of running events. Journal of Emergency Medicine, 71, 44-53. https://doi.org/10.1016/j.jemermed.2024.11.002
  • Open Access
    von Stackelberg, P., Huberts, L. C. E., Goedhart, R., & Does, R. J. M. M. (2025). Multilevel model versus recurrent neural network: A case study to predict student success or failure revisited. Journal of Quality Technology, 57(2), 161-180. https://doi.org/10.1080/00224065.2024.2435870
  • Open Access
    Cinà, G., Röber, T. E., Goedhart, R., & Birbil, Ş. İ. (2025). Why we do need explainable AI for healthcare. Diagnostic and Prognostic Research, 9, Article 24. https://doi.org/10.1186/s41512-025-00209-4
  • Open Access
    Kuiper, A., & Goedhart, R. (2024). Optimized Control Charts using Indifference Regions. Quality Engineering, 36(2), 371-389. https://doi.org/10.1080/08982112.2023.2218904
  • Open Access
    von Stackelberg, P., Goedhart, R., Birbil, S. I., & Does, R. J. M. M. (2024). Comparison of threshold tuning methods for predictive monitoring. Quality and Reliability Engineering International, 40(1), 499-512. https://doi.org/10.1002/qre.3436
  • Open Access
    Maragno, D., Kurtz, J., Röber, T. E., Goedhart, R., Birbil, Ş. İ., & den Hertog, D. (2024). Finding regions of counterfactual explanations via robust optimization. INFORMS Journal on Computing, 36(5), 1316–1334. https://doi.org/10.1287/ijoc.2023.0153
  • Open Access
    Wang, Z., Goedhart, R., & Zwetsloot, I. M. (2023). Monitoring high-dimensional heteroscedastic processes using rank-based EWMA methods. Computers & Industrial Engineering, 184, Article 109544. https://doi.org/10.1016/j.cie.2023.109544
  • Open Access
    Cina, G., Röber, T. E., Goedhart, R., & Birbil, S. I. (2023). Semantic match: Debugging feature attribution methods in XAI for healthcare. Proceedings of Machine Learning Research, 209, 182-191. https://proceedings.mlr.press/v209/cina23a.html
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