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Interpretable machine learning
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West Nile virus
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Subarachnoid Hemorrhage/diagnostic imaging [MeSH]
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2024
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Prediction of the acceptance of telemedicine among rheumatic patients: a machine learning-powered secondary analysis of German survey data
2024 .
Muehlensiepen, Felix
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Petit, Pascal
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Knitza, Johannes
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Welcker, Martin
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VUILLERME, Nicolas
2024
http://purl.org/ontology/bibo/Article
Common and differential variables of anxiety and depression in adolescence: a nation-wide smartphone-based survey
2024 .
Weiß, Martin
|
Gutzeit, Julian
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Pryss, Rüdiger
|
Romanos, Marcel
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Deserno, Lorenz
|
Hein, Grit
2024
http://purl.org/ontology/bibo/Article
Conditional feature importance for mixed data
2023 .
Blesch, Kristin
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Watson, David S.
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Wright, Marvin N.
2023
http://purl.org/ontology/bibo/Article
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach
2023 .
Molnar, Christoph
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König, Gunnar
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Bischl, Bernd
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Casalicchio, Giuseppe
2023
http://purl.org/ontology/bibo/Article
Forecasting 24 h averaged PM2.5 concentration in the Aburrá Valley using tree-based machine learning models, global forecasts, and satellite information
2023 .
Pérez-Carrasquilla, Jhayron S.
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Montoya, Paola A.
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Sánchez, Juan Manuel
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Hernández, K. Santiago
|
Ramírez, Mauricio
2023
http://purl.org/ontology/bibo/Article
Combined climate and regional mosquito habitat model based on machine learning
2021 .
Wieland, Ralf
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Kuhls, Katrin
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Lentz, Hartmut H.K.
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Conraths, Franz
|
Kampen, Helge
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Werner, Doreen
2021
http://purl.org/ontology/bibo/Article
Outcome prediction in aneurysmal subarachnoid hemorrhage: a comparison of machine learning methods and established clinico-radiological scores
2021 .
Dengler, Nora F.
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Madai, Vince Istvan
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Unteroberdörster, Meike
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Zihni, Esra
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Brune, Sophie Charlotte
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Hilbert, Adam
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Livne, Michelle
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Wolf, Stefan
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Vajkoczy, Peter
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Frey, Dietmar
2021
http://purl.org/ontology/bibo/Article