Scholar
Marvin N. Wright
Google Scholar ID: 4_VM5MIAAAAJ
Leibniz Institute for Prevention Research and Epidemiology – BIPS & University of Bremen
interpretable machine learning
biostatistics
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Citations
13,899
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30
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44
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20
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0
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web@wrig.de
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Publications
9 items
xplainfi: Feature Importance and Statistical Inference for Machine Learning in R
2026
Cited
0
Machine Learning in Epidemiology
2026
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0
Functional Decomposition and Shapley Interactions for Interpreting Survival Models
2026
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0
GRANITE: A Generalized Regional Framework for Identifying Agreement in Feature-Based Explanations
2026
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0
Imputation Uncertainty in Interpretable Machine Learning Methods
2025
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0
Missing value imputation with adversarial random forests -- MissARF
2025
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0
Gradient-based Explanations for Deep Learning Survival Models
2025
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Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests
2025
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0
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