Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Dandl, Susanne
17  Ergebnisse:
Personensuche X
?
1

Heterogeneous treatment effect estimation for observational..:

Dandl, Susanne ; Bender, Andreas ; Hothorn, Torsten
Statistical Methods in Medical Research.  33 (2024)  3 - p. 392-413 , 2024
Link: https://doi.org/10.1177/..
 
?
2

Leveraging Model-Based Trees as Interpretable Surrogate Mod..:

, In: Communications in Computer and Information Science; Artificial Intelligence. ECAI 2023 International Workshops,
Herbinger, Julia ; Dandl, Susanne ; Ewald, Fiona K... - p. 232-249 , 2024
Link: https://doi.org/10.1007/..
 
?
3

Causality concepts in machine learning: heterogeneous treat..:

Dandl, Susanne , 2023
Link: https://nbn-resolving.de..
 
?
4

Interpretable Regional Descriptors: Hyperbox-Based Local Ex..:

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,
Dandl, Susanne ; Casalicchio, Giuseppe ; Bischl, Bernd. - p. 479-495 , 2023
Link: https://doi.org/10.1007/..
 
?
5

General Pitfalls of Model-Agnostic Interpretation Methods f..:

, In: xxAI - Beyond Explainable AI; Lecture Notes in Computer Science,
Molnar, Christoph ; König, Gunnar ; Herbinger, Julia... - p. 39-68 , 2022
Link: https://doi.org/10.1007/..
 
?
6

Multi-objective counterfactual fairness:

, In: Proceedings of the Genetic and Evolutionary Computation Conference Companion,
Dandl, Susanne ; Pfisterer, Florian ; Bischl, Bernd - p. 328-331 , 2022
Link: https://dl.acm.org/doi/1..
 
?
7

mcboost: Multi-Calibration Boosting for R:

Pfisterer, Florian ; Kern, Christoph ; Dandl, Susanne...
Journal of Open Source Software.  6 (2021)  64 - p. 3453 , 2021
Link: https://doi.org/10.21105..
 
?
8

Multi-Objective Counterfactual Explanations:

, In: Parallel Problem Solving from Nature – PPSN XVI; Lecture Notes in Computer Science,
Dandl, Susanne ; Molnar, Christoph ; Binder, Martin. - p. 448-469 , 2020
Link: https://doi.org/10.1007/..
 
?
9

Causal Fair Machine Learning via Rank-Preserving Interventi..:

Bothmann, Ludwig ; Dandl, Susanne ; Schomaker, Michael
http://arxiv.org/abs/2307.12797.  , 2023
Link: http://arxiv.org/abs/230..
 
?
10

Interpretable Regional Descriptors: Hyperbox-Based Local Ex..:

Dandl, Susanne ; Casalicchio, Giuseppe ; Bischl, Bernd.
http://arxiv.org/abs/2305.02780.  , 2023
Link: http://arxiv.org/abs/230..
 
?
11

Leveraging Model-based Trees as Interpretable Surrogate Mod..:

Herbinger, Julia ; Dandl, Susanne ; Ewald, Fiona K..
http://arxiv.org/abs/2310.03112.  , 2023
Link: http://arxiv.org/abs/231..
 
?
12

counterfactuals: An R Package for Counterfactual Explanatio..:

Dandl, Susanne ; Hofheinz, Andreas ; Binder, Martin..
http://arxiv.org/abs/2304.06569.  , 2023
Link: http://arxiv.org/abs/230..
 
?
13

What Makes Forest-Based Heterogeneous Treatment Effect Esti..:

Dandl, Susanne ; Hothorn, Torsten ; Seibold, Heidi...
http://arxiv.org/abs/2206.10323.  , 2022
Link: http://arxiv.org/abs/220..
 
?
14

Heterogeneous Treatment Effect Estimation for Observational..:

Dandl, Susanne ; Bender, Andreas ; Hothorn, Torsten
http://arxiv.org/abs/2210.02836.  , 2022
Link: http://arxiv.org/abs/221..
 
?
15

Multi-Objective Counterfactual Explanations:

Dandl, Susanne ; Molnar, Christoph ; Binder, Martin.
http://arxiv.org/abs/2004.11165.  , 2020
Link: http://arxiv.org/abs/200..
 
1-15