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Challenges and Opportunities of Deep Learning in X-Ray Imaging and Computed Tomography Eulig, Elias. - Heidelberg : Universitätsbibliothek Heidelberg, 2025
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Challenges and Solutions for the Protection of Training Data of Machine Learning Models Stock, Joshua Lukas. - Hamburg : Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky, 2025
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Chances and Limits of Weak Supervision in Machine Learning for Medical Pathology Detection Meissen, Felix. - München : Universitätsbibliothek der TU München, 2025
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Collaborative Disease Forecasting in Real-Time: The Role of Nowcasting, Ensemble Models, and Evaluation Methods Wolffram, Daniel. - Karlsruhe : KIT-Bibliothek, 2025
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Collective perception: a fully-sparse deep learning framework for multi-agent data fusion Yuan, Yunshuang. - Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2025
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56 |
Combinatorial Optimization Augmented Machine Learning Jungel, Kai Simon. - München : Universitätsbibliothek der TU München, 2025
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Combining hidden Markov models and deep learning for biological sequences Becker, Felix. - Greifswald : Universität Greifswald, 2025
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Communication-Efficient Federated Learning in Cooperative Intelligent Transportation Systems Song, Rui. - München : Universitätsbibliothek der TU München, 2025
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59 |
Compilation-based explainability of tree ensembles Murtovi, Alnis. - Dortmund : Universitätsbibliothek Dortmund, 2025
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Confidence Limits for Prediction Performance Rink, Pascal. - Bremen : Staats- und Universitätsbibliothek Bremen, 2025
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