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21 |
Behavior prediction for autonomous driving using graph neural networks
Schmidt, Julian. - Ulm : Universität Ulm, Institut für Mess-, Regel- und Mikrotechnik, 2024
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22 |
Biologically inspired hexagonal deep learning for hexagonal image processing
Schlosser, Tobias. - Chemnitz : Universitätsverlag Chemnitz, 2024
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23 |
Causal inference and causal machine learning for data-driven management
Wasserbacher, Helmut. - Hamburg : Verlag Dr. Kovač, 2024
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24 |
Combination of stochastic modeling and machine learning for probabilistic weather forecasting and power grid management
Schaumann, Peter. - Ulm, 2024
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25 |
"Comparison of MRI sequences to predict ATRX status using radiomics-based machine learning"
Münster, 2024
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26 |
Computational studies of transition metal catalysts and the exploration of structure-reactivity relationships using machine learning approaches
Huang, Tianbai. - Jena, 2024
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27 |
Data-based analyses of manufacturing components
Finkeldey, Felix. - Düren : Shaker Verlag, 2024
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28 |
Data-driven protein engineering
Siedhoff, Niklas. - Aachen, [2024]
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29 |
Datengetriebene Strukturierung von NC-Zerspanprozessen
Ochel, Janis. - Aachen : Apprimus Verlag, 2024, 1. Auflage
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30 |
[Rule(s) of recommendation: what the making of a recommender system can tell us about the difficult relation between social order and machine learning]
Democratic algorithms: ethnography of a public recommender system
Poechhacker, Nikolaus. - Lüneburg : meson press eG, 2024
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Administration
