Tabea Röber

According to our database, Tabea Röber authored at least 8 papers between 2022 and 2026.

Collaborative distances:

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

2026

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

Tabea E. Röber, Paul Festor, Rob Goedhart, S. Ilker Birbil, Aldo Faisal

CoRR, April, 2026

2025

Rule generation for classification: Scalability, interpretability, and fairness.

Tabea E. Röber, Adia C. Lumadjeng, M. Hakan Akyüz, S. Ilker Birbil

Comput. Oper. Res., 2025

Clinicians’ Voice: Fundamental Considerations for XAI in Healthcare.

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

Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

2024

Finding Regions of Counterfactual Explanations via Robust Optimization.

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

INFORMS J. Comput., 2024

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

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

Counterfactual Explanations Using Optimization With Constraint Learning.

Donato Maragno, Tabea E. Röber, S. Ilker Birbil

CoRR, 2022

Why we do need Explainable AI for Healthcare.

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

CoRR, 2022