Philipp Bergmeir - researchr alias

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Viewing Publication 1 - 3 from 3

2018

Enhanced machine learning and data mining methods for analysing large hybrid electric vehicle fleets based on load spectrum dataPhilipp Bergmeir. PhD thesis, University of Stuttgart, Germany, 2018. [doi]

2016

Classifying component failures of a hybrid electric vehicle fleet based on load spectrum data - Balanced random forest approaches employing uni- and multivariate decision treesPhilipp Bergmeir, Christof Nitsche, Jurgen Nonnast, Michael Bargende. nca, 27(8):2289-2304, 2016. [doi]

2014

Using Balanced Random Forests on Load Spectrum Data for Classifying Component Failures of a Hybrid Electric Vehicle FleetPhilipp Bergmeir, Christof Nitsche, Jurgen Nonnast, Michael Bargende, Peter Antony, Uwe Keller. icmla 2014: 397-404 [doi]

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