|
1031 |
Applications of deep generative modeling approaches on Omics data
Hausmann, Fabian. - Hamburg : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2023
|
|
|
|
1032 |
Applications of machine learning to gravitational waves
Zelenka, Ondřej. - Jena : Friedrich-Schiller-Universität Jena, 2023
|
|
|
|
1033 |
Applications of Spatio-Temporal Graph Neural Network Models for Brain Connectivity Analysis
Wein, Simon. - Regensburg : Universitätsbibliothek Regensburg, 2023
|
|
|
|
1034 |
Applying Machine Learning to Credit Decision Modelling
Schmieg, Adrian Severin. - Berlin : Freie Universität Berlin, 2023
|
|
|
|
1035 |
Applying modeling, simulation and machine learning for the renewable energy transition
Lindner, Michael. - Berlin : Technische Universität Berlin, 2023
|
|
|
|
1036 |
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Xie, Xiang. - Karlsruhe : KIT-Bibliothek, 2023
|
|
|
|
1037 |
Artificial Scientific Discovery
Sarra, Leopoldo. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2023
|
|
|
|
1038 |
Aspects of spatial postprocessing for global temperature forecasts
Feldmann, Kira. - Mannheim : Universitätsbibliothek Mannheim, 2023
|
|
|
|
1039 |
Assessing the Potential of Multiple Use Cases for German Energy Communities via Integration of Machine Learning in the Energy-Economic Modeling Process
Bogensperger, Alexander Johannes. - München : Universitätsbibliothek der TU München, 2023
|
|
|
|
1040 |
Assessing the reliability of deep neural networks
Oberdiek, Philipp. - Dortmund : Universitätsbibliothek Dortmund, 2023
|
|
Administration
