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461 |
Bridging gaps in interpretable machine learning
Scholbeck, Christian Alexander. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2024
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462 |
Building confound-free and generalizable machine learning workflows with neuroimaging data
More, Shammi. - Düsseldorf : Universitäts- und Landesbibliothek der Heinrich-Heine-Universität Düsseldorf, 2024
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463 |
Business Models Powered by Machine Learning: Exploring How Machine Learning Changes the Ways Organizations Create, Deliver, and Capture Value
Vetter, Oliver Andreas. - Darmstadt : Universitäts- und Landesbibliothek, 2024
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464 |
Capsule rheology and machine learning
Kratz, Felix Sebastian. - Dortmund : Universitätsbibliothek Dortmund, 2024
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465 |
Causal decomposition of complex systems and prediction of chaos using machine learning
Ma, Haochun. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2024
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466 |
Causal inference and causal machine learning for data-driven management
Wasserbacher, Helmut. - Hamburg : Verlag Dr. Kovač, 2024
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467 |
Causal Inference and Causal Machine Learning for Data-Driven Management
Wasserbacher, Helmut. - Hamburg : Verlag Dr. Kovac GmbH, 2024, 1. Auflage
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468 |
Cell-type deconvolution model for read-level DNA methylomes
Jeong, Yunhee. - Heidelberg : Universitätsbibliothek Heidelberg, 2024
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469 |
Challenges in Deep Learning Based Forecasting of Time Series with Calendar-driven Periodicities
Heidrich, Benedikt. - Karlsruhe : KIT-Bibliothek, 2024
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470 |
Challenges in machine learning for predicting psychological attributes from smartphone data
Au, Jiew-Quay. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2024
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