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411 |
Bridging gaps in interpretable machine learning
Scholbeck, Christian Alexander. - München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2024
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412 |
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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413 |
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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414 |
Capsule rheology and machine learning
Kratz, Felix Sebastian. - Dortmund : Universitätsbibliothek Dortmund, 2024
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415 |
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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416 |
Causal Inference and Causal Machine Learning for Data-Driven Management
Wasserbacher, Helmut. - Hamburg : Verlag Dr. Kovac GmbH, 2024, 1. Auflage
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417 |
Cell-type deconvolution model for read-level DNA methylomes
Jeong, Yunhee. - Heidelberg : Universitätsbibliothek Heidelberg, 2024
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418 |
Challenges in Deep Learning Based Forecasting of Time Series with Calendar-driven Periodicities
Heidrich, Benedikt. - Karlsruhe : KIT-Bibliothek, 2024
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419 |
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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420 |
Characterisation of sediment patterns and benthic megafauna distribution using automated underwater image analysis
Mbani, Benson. - Kiel : Universitätsbibliothek Kiel, 2024
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