6 citations · 6 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 6 cited
Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis
Christian A. Scholbeck, Julia Moosbauer, Giuseppe Casalicchio +3
We argue that interpretations of machine learning (ML) models or the model-building process can be seen as a form of sensitivity analysis (SA), a general methodology used to explai…
stat.ML2019
Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles
Martin Binder, Julia Moosbauer, Janek Thomas +1
Both feature selection and hyperparameter tuning are key tasks in machine learning. Hyperparameter tuning is often useful to increase model performance, while feature selection is…