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2020 – today
- 2025
[j2]Tabea E. Röber
, Adia C. Lumadjeng, M. Hakan Akyüz, S. Ilker Birbil:
Rule generation for classification: Scalability, interpretability, and fairness. Comput. Oper. Res. 183: 107163 (2025)- 2024
- [j1]Donato Maragno, Jannis Kurtz, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil, Dick den Hertog:
Finding Regions of Counterfactual Explanations via Robust Optimization. INFORMS J. Comput. 36(5): 1316-1334 (2024) - [i6]Tabea Röber, Rob Goedhart, S. Ilker Birbil:
Clinicians' Voice: Fundamental Considerations for XAI in Healthcare. CoRR abs/2411.04855 (2024) - 2023
- [c1]Giovanni Cinà, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil:
Semantic match: Debugging feature attribution methods in XAI for healthcare. CHIL 2023: 182-190 - [i5]Giovanni Cinà, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil:
Semantic match: Debugging feature attribution methods in XAI for healthcare. CoRR abs/2301.02080 (2023) - [i4]Donato Maragno, Jannis Kurtz, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil, Dick den Hertog:
Finding Regions of Counterfactual Explanations via Robust Optimization. CoRR abs/2301.11113 (2023) - [i3]Giovanni Cinà, Daniel Fernandez-Llaneza, Nishant Mishra, Tabea E. Röber, Sandro Pezzelle, Iacer Calixto, Rob Goedhart, S. Ilker Birbil:
Fixing confirmation bias in feature attribution methods via semantic match. CoRR abs/2307.00897 (2023) - 2022
- [i2]Giovanni Cinà, Tabea Röber, Rob Goedhart, S. Ilker Birbil:
Why we do need Explainable AI for Healthcare. CoRR abs/2206.15363 (2022) - [i1]Donato Maragno, Tabea E. Röber, S. Ilker Birbil:
Counterfactual Explanations Using Optimization With Constraint Learning. CoRR abs/2209.10997 (2022)
Coauthor Index
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