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28531 |
Value of machine learning in predicting TAVI outcomes
Enthalten in Netherlands heart journal Bd. 27, 20.5.2019, Nr. 9, date:9.2019: 443-450
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28532 |
Values and inductive risk in machine learning modelling: the case of binary classification models
Enthalten in European journal for philosophy of science Bd. 11, 26.10.2021, Nr. 4, date:12.2021: 1-27
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28533 |
Van Krevelen diagrams based on machine learning visualize feedstock-product relationships in thermal conversion processes
Enthalten in Communications chemistry Bd. 6, 13.12.2023, Nr. 1, date:12.2023: 1-11
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28534 |
Variability analysis of soil organic carbon content across land use types and its digital mapping using machine learning and deep learning algorithms
Enthalten in Environmental monitoring and assessment Bd. 197, 10.4.2025, Nr. 5, date:5.2025: 1-32
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28535 |
Variable resolution machine learning optimization of antennas using global sensitivity analysis
Enthalten in Scientific reports Bd. 14, 13.11.2024, Nr. 1, date:12.2024: 1-23
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28536 |
Variable selection in social-environmental data: sparse regression and tree ensemble machine learning approaches
Enthalten in BMC medical research methodology Bd. 20, 10.12.2020, Nr. 1, date:12.2020: 1-10
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28537 |
Variant-driven early warning via unsupervised machine learning analysis of spike protein mutations for COVID-19
Enthalten in Scientific reports Bd. 12, 3.6.2022, Nr. 1, date:12.2022: 1-14
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28538 |
Variational autoencoder-based techniques for a streamlined cross-topology modeling and optimization workflow in electrical drives
Enthalten in Autonomous intelligent systems Bd. 4, 24.5.2024, Nr. 1, date:12.2024: 1-10
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28539 |
Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology
Enthalten in npj digital medicine Bd. 7, 14.9.2024, Nr. 1, date:12.2024: 1-11
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28540 |
Variational Monte Carlo—bridging concepts of machine learning and high-dimensional partial differential equations
Enthalten in Advances in computational mathematics Bd. 45, 5.10.2019, Nr. 5-6, date:12.2019: 2503-2532
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