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641 |
Tailoring phosphine ligands for improved C–H activation Huang, Tianbai. - Jena : Friedrich-Schiller-Universität Jena, 2024
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642 |
Targeting Transcutaneous Spinal Cord Stimulation Using a Supervised Machine Learning Approach Based on Mechanomyography Spieker, Eira Lotta. - Berlin : Technische Universität Berlin, 2024
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643 |
The application of machine learning to predict high-cost patients: A performance-comparison of different models using healthcare claims data Langenberger, Benedikt. - Berlin : Technische Universität Berlin, 2024
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644 |
The Finite-Time Turnpike Property in Machine Learning Gugat, Martin. - Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2024
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645 |
The role of hyperparameters in machine learning models and how to tune them Arnold, Christian. - Mannheim : Universitätsbibliothek Mannheim, 2024
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646 |
Thermal Conductivity Analysis of Polymer‐Derived Nanocomposite via Image‐Based Structure Reconstruction, Computational Homogenization, and Machine Learning Fathidoost, Mozhdeh. - Darmstadt : Universitäts- und Landesbibliothek, 2024
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647 |
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains Agerberg, Jens. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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648 |
Towards interpretable quantum machine learning via single-photon quantum walks Flamini, Fulvio. - Konstanz : KOPS Universität Konstanz, 2024
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649 |
Training a machine learning classifier to identify ADHD based on real-world clinical data from medical records Mikolas, Pavol. - Dresden : Technische Universität Dresden, 2024
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650 |
Trustworthy Machine Learning Operations for Predictive Maintenance Solutions Fathi, Kiavash. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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