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1671 |
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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1672 |
Hyperparameter optimization of two-branch neural networks in multi-target prediction Iliadis, Dimitrios. - Ludwig-Maximilians-Universität München, 2024
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1673 |
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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1674 |
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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1675 |
Identifying CBT non-response among OCD outpatients: A machine-learning approach Hilbert, Kevin. - Berlin : Humboldt-Universität zu Berlin, 2024
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1676 |
Implementing machine learning techniques for continuous emotion prediction from uniformly segmented voice recordings Diemerling, Hannes. - Berlin : Humboldt-Universität zu Berlin, 2024
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1677 |
Improved carbide volume fraction estimation in as-cast HCCI alloys using machine learning techniques Nayak, U. Pranav. - Saarbrücken : Saarländische Universitäts- und Landesbibliothek, 2024
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1678 |
Improving forecasts of precipitation extremes over northern and central Italy using machine learning Grazzini, Federico. - Ludwig-Maximilians-Universität München, 2024
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1679 |
Improving the transfer of machine learning-based video QoE estimation across diverse networks Seufert, Michael Thomas. - Augsburg : Universität Augsburg, 2024
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1680 |
Influence of Sampling Methods on the Accuracy of Machine Learning Predictions Used for Strain-Dependent Slope Stability Shakya, Sudan. - Darmstadt : Universitäts- und Landesbibliothek, 2024
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