Christian A. Scholbeck

According to our database, Christian A. Scholbeck authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

Correction: Marginal effects for non-linear prediction functions.

Christian A. Scholbeck, Giuseppe Casalicchio, Christoph Molnar, Bernd Bischl, Christian Heumann

Data Min. Knowl. Discov., November, 2024

Marginal effects for non-linear prediction functions.

Christian A. Scholbeck, Giuseppe Casalicchio, Christoph Molnar, Bernd Bischl, Christian Heumann

Data Min. Knowl. Discov., September, 2024

2023

Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis.

Christian A. Scholbeck, Julia Moosbauer, Giuseppe Casalicchio, Hoshin Gupta, Bernd Bischl, Christian Heumann

CoRR, 2023

fmeffects: An R Package for Forward Marginal Effects.

Holger Löwe, Christian A. Scholbeck, Christian Heumann, Bernd Bischl, Giuseppe Casalicchio

CoRR, 2023

Algorithm-Agnostic Feature Attributions for Clustering.

Christian A. Scholbeck, Henri Funk, Giuseppe Casalicchio

Proceedings of the Explainable Artificial Intelligence, 2023

2022

Algorithm-Agnostic Interpretations for Clustering.

Christian A. Scholbeck, Henri Funk, Giuseppe Casalicchio

CoRR, 2022

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

2019

Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations.

Christian A. Scholbeck, Christoph Molnar, Christian Heumann, Bernd Bischl, Giuseppe Casalicchio

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019