Christian A. Scholbeck

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 9

Top Topics

Sensitivity Analysis

Hierarchical Clustering Algorithm

Predictive Model

Machine Learning Models

Top Venues

PKDD/ECML Workshops (1)

Publications

Christian A. Scholbeck, Julia Moosbauer, Giuseppe Casalicchio, Hoshin Gupta, Bernd Bischl, Christian Heumann
Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis. CoRR (2023)
Christian A. Scholbeck, Henri Funk, Giuseppe Casalicchio
Algorithm-Agnostic Feature Attributions for Clustering. xAI (1) (2023)
Holger Löwe, Christian A. Scholbeck, Christian Heumann, Bernd Bischl, Giuseppe Casalicchio
fmeffects: An R Package for Forward Marginal Effects. CoRR (2023)
Christian A. Scholbeck, Giuseppe Casalicchio, Christoph Molnar, Bernd Bischl, Christian Heumann
Marginal Effects for Non-Linear Prediction Functions. CoRR (2022)
Christian A. Scholbeck, Henri Funk, Giuseppe Casalicchio
Algorithm-Agnostic Interpretations for Clustering. CoRR (2022)
Christoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models. xxAI@ICML (2020)
Christoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl
Pitfalls to Avoid when Interpreting Machine Learning Models. CoRR (2020)
Christian A. Scholbeck, Christoph Molnar, Christian Heumann, Bernd Bischl, Giuseppe Casalicchio
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model Agnostic Interpretations. CoRR (2019)
Christian A. Scholbeck, Christoph Molnar, Christian Heumann, Bernd Bischl, Giuseppe Casalicchio
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations. PKDD/ECML Workshops (1) (2019)