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Interpretable Machine Learning
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Publications
(7)
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Interpretable generalized additive neural networks (2023)
Kraus M, Tschernutter D, Weinzierl S, Zschech P
Journal article, Original article
Best of both worlds: Combining predictive power with interpretable and explainable results for patient pathway prediction (2023)
Zilker S, Weinzierl S, Zschech P, Kraus M, Matzner M
Conference contribution, Conference Contribution
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints (2022)
Zschech P, Weinzierl S, Hambauer N, Zilker S, Kraus M
Conference contribution, Conference Contribution
Machine Learning and Deep Learning (2021)
Janiesch C, Zschech P, Heinrich K
Journal article
How Much AI Do You Require? Decision Factors for Adopting AI Technology (2020)
Wanner J, Heinrich K, Janiesch C, Zschech P
Conference contribution
White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems (2020)
Wanner J, Herm LV, Heinrich K, Janiesch C, Zschech P
Conference contribution
Demystifying the Black Box: A Classification Scheme for Interpretation and Visualization of Deep Intelligent Systems (2019)
Heinrich K, Zschech P, Skouti T, Griebenow J, Riechert S
Conference contribution