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Julia Herbinger
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2020 – today
- 2024
- [i8]Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio:
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration. CoRR abs/2403.04629 (2024) - [i7]Vasilis Gkolemis, Christos Diou, Eirini Ntoutsi, Theodore Dalamagas, Bernd Bischl, Julia Herbinger, Giuseppe Casalicchio:
Effector: A Python package for regional explanations. CoRR abs/2404.02629 (2024) - 2023
- [b1]Julia Herbinger:
On grouping and partitioning approaches in interpretable machine learning. Ludwig Maximilian University of Munich, Germany, 2023 - [c5]Julia Herbinger
, Susanne Dandl
, Fiona Katharina Ewald
, Sofia Loibl, Giuseppe Casalicchio
:
Leveraging Model-Based Trees as Interpretable Surrogate Models for Model Distillation. ECAI Workshops (1) 2023: 232-249 - [c4]Christoph Molnar
, Timo Freiesleben
, Gunnar König
, Julia Herbinger, Tim Reisinger, Giuseppe Casalicchio
, Marvin N. Wright
, Bernd Bischl
:
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. xAI (1) 2023: 456-479 - [i6]Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio:
Decomposing Global Feature Effects Based on Feature Interactions. CoRR abs/2306.00541 (2023) - [i5]Julia Herbinger, Susanne Dandl, Fiona Katharina Ewald, Sofia Loibl, Giuseppe Casalicchio:
Leveraging Model-based Trees as Interpretable Surrogate Models for Model Distillation. CoRR abs/2310.03112 (2023) - 2022
- [j3]Sebastian Geissel
, Holger Graf, Julia Herbinger, Frank Thomas Seifried:
Portfolio optimization with optimal expected utility risk measures. Ann. Oper. Res. 309(1): 59-77 (2022) - [j2]Quay Au, Julia Herbinger
, Clemens Stachl
, Bernd Bischl, Giuseppe Casalicchio
:
Grouped feature importance and combined features effect plot. Data Min. Knowl. Discov. 36(4): 1401-1450 (2022) - [j1]Wael Ghada, Éric Casellas
, Julia Herbinger, Albert Garcia-Benadí
, Ludwig Bothmann
, Nicole Estrella
, Joan Bech
, Annette Menzel
:
Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar. Remote. Sens. 14(18): 4563 (2022) - [c3]Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio:
REPID: Regional Effect Plots with implicit Interaction Detection. AISTATS 2022: 10209-10233 - [i4]Julia Herbinger, Bernd Bischl, Giuseppe Casalicchio:
REPID: Regional Effect Plots with implicit Interaction Detection. CoRR abs/2202.07254 (2022) - 2021
- [c2]Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl:
Explaining Hyperparameter Optimization via Partial Dependence Plots. NeurIPS 2021: 2280-2291 - [i3]Quay Au, Julia Herbinger, Clemens Stachl, Bernd Bischl, Giuseppe Casalicchio:
Grouped Feature Importance and Combined Features Effect Plot. CoRR abs/2104.11688 (2021) - [i2]Julia Moosbauer, Julia Herbinger, Giuseppe Casalicchio, Marius Lindauer, Bernd Bischl:
Explaining Hyperparameter Optimization via Partial Dependence Plots. CoRR abs/2111.04820 (2021) - 2020
- [c1]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: 39-68 - [i1]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 abs/2007.04131 (2020)
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last updated on 2024-07-11 20:15 CEST by the dblp team
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