Julia Herbinger

According to our database, Julia Herbinger authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration.

Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio

CoRR, 2024

2023

Decomposing Global Feature Effects Based on Feature Interactions.

Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio

CoRR, 2023

Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process.

Christoph Molnar, Timo Freiesleben, Gunnar König, Julia Herbinger, Tim Reisinger, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl

Proceedings of the Explainable Artificial Intelligence, 2023

Leveraging Model-Based Trees as Interpretable Surrogate Models for Model Distillation.

Julia Herbinger, Susanne Dandl, Fiona K. Ewald, Sofia Loibl, Giuseppe Casalicchio

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

2022

Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar.

Wael Ghada, Éric Casellas, Julia Herbinger, Albert Garcia-Benadí, Ludwig Bothmann, Nicole Estrella, Joan Bech, Annette Menzel

Remote. Sens., 2022

Grouped feature importance and combined features effect plot.

Quay Au, Julia Herbinger, Clemens Stachl, Bernd Bischl, Giuseppe Casalicchio

Data Min. Knowl. Discov., 2022

Portfolio optimization with optimal expected utility risk measures.

Sebastian Geissel, Holger Graf, Julia Herbinger, Frank Thomas Seifried

Ann. Oper. Res., 2022

REPID: Regional Effect Plots with implicit Interaction Detection.

Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Explaining Hyperparameter Optimization via Partial Dependence Plots.

Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Pitfalls to Avoid when Interpreting Machine Learning Models.

Christoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl

CoRR, 2020

General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models.

Christoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl

Proceedings of the xxAI - Beyond Explainable AI, 2020