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Clustering in High-Dimensional Data Streams with Adaptive Local Principal Component Analysis Migenda, Nico. - Bielefeld : Universitätsbibliothek Bielefeld, 2025
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CO2 Fischer-Tropsch synthesis : unleashing the power of data science and machine learning for sustainable hydrocarbon production Fedorov, Aleksandr. - Rostock : Universitätsbibliothek Rostock, 2025
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Coarse-to-Fine Learning Frameworks for Non-Rigid 3D Point Cloud Registration under Large Deformations Monji Azad, Sara. - Heidelberg : Universitätsbibliothek Heidelberg, 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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Combinatorial Optimization Augmented Machine Learning Jungel, Kai Simon. - München : Universitätsbibliothek der TU München, 2025
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Communication-Efficient Distributed Learning with Provable Robustness and Privacy Guarantees Egger, Maximilian. - München : Universitätsbibliothek der TU München, 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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Compilation-based explainability of tree ensembles Murtovi, Alnis. - Dortmund : Universitätsbibliothek Dortmund, 2025
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Complementary Extensions of Concept Learning in Description Logics Westphal, Patrick. - Leipzig : Universitätsbibliothek Leipzig, 2025
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