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Deep learning with very few training examples Reinders, Christoph. - Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2025
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Deep Neural network models as digital twins for functional characterization of visual cortex Willeke, Konstantin F.. - Tübingen : Universitätsbibliothek Tübingen, 2025
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Deep phenotyping using machine learning approaches Zhao, Max Xiaohang. - Berlin : Medizinische Fakultät Charité - Universitätsmedizin Berlin, 2025
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Deep Reinforcement Learning in Communication Systems – Addressing Partial Observability in Decentralized Multi-Agent Systems with Learned Communication Weil, Jannis. - Darmstadt : Universitäts- und Landesbibliothek, 2025
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Deep Reinforcement Learning zum maschinellen Erlernen von Strategien zur Lösung von Zauberwürfeln Lanz, Finn. - Hamburg : Hochschule für Angewandte Wissenschaften Hamburg, 2025
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Deep-sea polymetallic nodules spatial modelling with machine learning algorithms and benthic plume monitoring Gazis, Iason Zois. - Kiel : Universitätsbibliothek Kiel, 2025
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Deep time series representation learning Henze, Janosch. - Kassel : Universitätsbibliothek Kassel, 2025
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Democratizing Learning with Neural Cellular Automata Kalkhof, John. - Darmstadt : Universitäts- und Landesbibliothek, 2025
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Density Functional Tight Binding Theory Informed Multi-fidelity Machine Learning Cui, Mengnan. - Berlin : Humboldt-Universität zu Berlin, 2025
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Dependency structures of climate variability patterns through causal discovery algorithms Debeire, Kevin. - Berlin : Technische Universität Berlin, 2025
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