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Disambiguation of "Jullum, Martin"

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Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features.

, , , and . J. Mach. Learn. Res., (2022)

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Martin Breitenfeldt

Mass measurements on short-lived Cd and Ag nuclides at the online mass spectrometer ISOLTRAP. Uni Greifswald, (2009)

Martin Faes

Analyse der mehrskaligen Transportmechanismen beim laminaren Mischen mittels laseroptischer und numerischer Methoden. Uni Hannover, (2009)

Martin Klug

The late Quaternary environmental and climatic history of North-East Greenland, inferred from coastal lakes. Uni Köln, (2009)

Martin Brückner

Vergleichende Untersuchungen zur Inzidenz apoptotischer und proliferativer Veränderungen kultivierter, humaner Knochenzellen von Ober- und Unterkiefer auf maschinenbearbeitetem, reinem Titan über 25 Tage. Uni Leipzig, (2009)

Martin Nickel

Einsatz von Rollenspielen und standardisierten Eltern zur Schulung kommunikativer Kompetenzen von Medizinstudenten in Anamnese- und Beratungsgesprächen mit Eltern kranker Kinder: eine quantitative und qualitative Analyse im Kontrollgruppendesign. Uni Heidelberg, (2009)
 

Other publications of authors with the same name

A Comparative Study of Methods for Estimating Conditional Shapley Values and When to Use Them., , , and . CoRR, (2023)Finding Money Launderers Using Heterogeneous Graph Neural Networks., and . CoRR, (2023)Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features., , , and . J. Mach. Learn. Res., (2022)Statistical embedding: Beyond principal components., , and . CoRR, (2021)Comparison of Contextual Importance and Utility with LIME and Shapley Values., , , , and . EXTRAAMAS@AAMAS, volume 12688 of Lecture Notes in Computer Science, page 39-54. Springer, (2021)shapr: An R-package for explaining machine learning models with dependence-aware Shapley values., and . J. Open Source Softw., 5 (46): 2027 (2019)Explaining predictive models using Shapley values and non-parametric vine copulas., , , and . CoRR, (2021)MCCE: Monte Carlo sampling of realistic counterfactual explanations., , , and . CoRR, (2021)groupShapley: Efficient prediction explanation with Shapley values for feature groups., , and . CoRR, (2021)Explaining individual predictions when features are dependent: More accurate approximations to Shapley values, , and . (2019)cite arxiv:1903.10464.