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1621 |
Galvanic Skin Response and Photoplethysmography for Stress Recognition Using Machine Learning and Wearable Sensors
Nechyporenko, Alina. - Wildau : Technische Hochschule Wildau, 2024
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1622 |
Große Sprachmodelle. Machine Learning als Lese- und Schreibermöglichung
Bajohr, Hannes. - Marburg : Philipps-Universität Marburg, 2024
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1623 |
Historical insights at scale: A corpus-wide machine learning analysis of early modern astronomic tables
Eberle, Oliver. - Berlin : Technische Universität Berlin, 2024
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1624 |
Holistic image-based analysis of damage on concrete surfaces—A multifaceted approach based on supervised machine learning
Özcan, Baris. - Aachen : Universitätsbibliothek der RWTH Aachen, 2024
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1625 |
How Interpretable Machine Learning Can Benefit Process Understanding in the Geosciences
Jiang, Shijie. - Jena : Friedrich-Schiller-Universität Jena, 2024
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1626 |
How to treat mixed behavior segments in supervised machine learning of behavioural modes from inertial measurement data
Resheff, Yehezkel S.. - Konstanz : KOPS Universität Konstanz, 2024
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1627 |
How valid are trust survey measures? New insights from open-ended probing data and supervised machine learning
Landesvatter, Camille. - Mannheim : Universitätsbibliothek Mannheim, 2024
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1628 |
Hyperparameter optimization of two-branch neural networks in multi-target prediction
Iliadis, Dimitrios. - Ludwig-Maximilians-Universität München, 2024
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1629 |
Identification and prediction of association patterns between nutrient intake and anemia using machine learning techniques: results from a cross-sectional study with university female students from Palestine
Qasrawi, Radwan. - Hannover : Gottfried Wilhelm Leibniz Universität Hannover, 2024
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1630 |
Identification of a machine learning-based diagnostic model for axial spondyloarthritis in rheumatological routine care using a random forest approach
Redeker, Imke. - Bochum : Ruhr-Universität Bochum, 2024
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