Susanne Dandl

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Conflicting Objectives

Multiobjective Evolutionary Algorithm

Rotationally Invariant

Top Venues

GECCO Companion

Publications

Susanne Dandl, Kristin Blesch, Timo Freiesleben, Gunnar König, Jan Kapar, Bernd Bischl, Marvin N. Wright
CountARFactuals - Generating plausible model-agnostic counterfactual explanations with adversarial random forests. CoRR (2024)
Susanne Dandl, Marc Becker, Bernd Bischl, Giuseppe Casalicchio, Ludwig Bothmann
mlr3summary: Concise and interpretable summaries for machine learning models. CoRR (2024)
Susanne Dandl, Giuseppe Casalicchio, Bernd Bischl, Ludwig Bothmann
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations. CoRR (2023)
Ludwig Bothmann, Susanne Dandl, Michael Schomaker
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions. AEQUITAS@ECAI (2023)
Julia Herbinger, Susanne Dandl, Fiona K. Ewald, Sofia Loibl, Giuseppe Casalicchio
Leveraging Model-Based Trees as Interpretable Surrogate Models for Model Distillation. ECAI Workshops (1) (2023)
Julia Herbinger, Susanne Dandl, Fiona K. Ewald, Sofia Loibl, Giuseppe Casalicchio
Leveraging Model-based Trees as Interpretable Surrogate Models for Model Distillation. CoRR (2023)
Susanne Dandl, Andreas Hofheinz, Martin Binder, Bernd Bischl, Giuseppe Casalicchio
counterfactuals: An R Package for Counterfactual Explanation Methods. CoRR (2023)
Ludwig Bothmann, Susanne Dandl, Michael Schomaker
Causal Fair Machine Learning via Rank-Preserving Interventional Distributions. CoRR (2023)
Susanne Dandl, Giuseppe Casalicchio, Bernd Bischl, Ludwig Bothmann
Interpretable Regional Descriptors: Hyperbox-Based Local Explanations. ECML/PKDD (3) (2023)
Susanne Dandl, Florian Pfisterer, Bernd Bischl
Multi-objective counterfactual fairness. GECCO Companion (2022)
Florian Pfisterer, Christoph Kern, Susanne Dandl, Matthew Sun, Michael Kim, Bernd Bischl
mcboost: Multi-Calibration Boosting for R. J. Open Source Softw. 6 (64) (2021)
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)
Susanne Dandl, Christoph Molnar, Martin Binder, Bernd Bischl
Multi-Objective Counterfactual Explanations. PPSN (1) (2020)
Susanne Dandl, Christoph Molnar, Martin Binder, Bernd Bischl
Multi-Objective Counterfactual Explanations. CoRR (2020)