Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of features von Voges, Lucas F, Jarren, Lukas C, Seifert, Stephan

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Machine Learning–Assisted Risk Assessment of Pitting Corrosion Susceptibility of AA1050 in Ethanol‐Containing Fuels von Jarren, Lukas C., Gazenbiller, Eugen, Arya, Visheet, Reitz, Rüdiger, Oechsner, Matthias, Feiler, Christian, Zheludkevich, Mikhail L., Höche, Daniel

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Opening the random forest black box by the analysis of the mutual impact of features von Voges, Lucas F, Jarren, Lukas C, Seifert, Stephan

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Pitting corrosion of AA1050 in ethanol-containing fuels: Classification dataset von Jarren, Lukas Cäsar, Gazenbiller, Eugen, Arya, Visheet, Reitz, Rüdiger, Oechnser, Matthias, Feiler, Christian, Zheludkevich, Mikhail, Höche, Daniel

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Whitepaper: Künstliche Intelligenz vs. Maritime Korrosion - Where do we go? von Höche, Daniel, Momber, Andreas, Buchbach, Sascha, Schulz-Stellenfleth, Johannes, Feiler, Christian, Nattkemper, Tim, Knudsen, Ole Øystein, Daneshian, Bahman, Sahlmann, Lisa, Jarren, Lukas, Ebell, Gino, Heins, Oliver, Ben Seghier, Mohamed El Amine, Kapoor, Garima, Ebeling, Anna, Plagemann, Peter, Gülhan, Salih, Heusinger von Waldegge, Tim, Brune, Kai, Pröfrock, Daniel

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