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21 |
Automatisierte Detektion von M-Gradienten in Serumprotein-Elektrophoresen mithilfe von Machine Learning Algorithmen
Elfert, Eike. - Heidelberg, 2024
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22 |
Automatisierte Klassifikation und Segmentierung echokardiographischer Bilder bei Patienten mit Atriumseptumdefekt und Fallot-Tetralogie mittels Methoden des maschinellen Lernens
Capucci, Antoine. - Münster, 2024
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23 |
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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24 |
Biologically inspired hexagonal deep learning for hexagonal image processing
Schlosser, Tobias. - Chemnitz : Universitätsverlag Chemnitz, 2024
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25 |
Causal inference and causal machine learning for data-driven management
Wasserbacher, Helmut. - Hamburg : Verlag Dr. Kovač, 2024
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26 |
Combination of stochastic modeling and machine learning for probabilistic weather forecasting and power grid management
Schaumann, Peter. - Ulm, 2024
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27 |
Comparison of MRI sequences to predict ATRX status using radiomics-based machine learning
Nacul Mora, Nabila Gala. - Münster, 2024
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28 |
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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29 |
Data-based analyses of manufacturing components
Finkeldey, Felix. - Düren : Shaker Verlag, 2024
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30 |
Data-driven protein engineering
Siedhoff, Niklas. - Aachen, [2024]
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Administration
