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Ergebnis der Suche nach: "Machine Learning"
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16151 - 16160 von 16742
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Artikel 16151 The identification of $$\varvec\alpha }}}$$ α -clustered doorway states in $$^44,48,52}$$ 44 , 48 , 52 Ti using machine learning
Enthalten in The European physical journal / A / Hadrons and nuclei Bd. 57, 29.3.2021, Nr. 3, date:3.2021: 1-12
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Artikel 16152 The Impact of Built Environment on the Commuting Distance of Middle/Low-income Tenant Workers in Mega Cities Based on Nonlinear Analysis in Machine Learning
Enthalten in Urban rail transit Bd. 9, 30.9.2023, Nr. 4, date:12.2023: 294-309
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Artikel 16153 The impact of chemotherapy and survival prediction by machine learning in early Elderly Triple Negative Breast Cancer (eTNBC): a population based study from the SEER database
Enthalten in BMC geriatrics Bd. 22, 1.4.2022, Nr. 1, date:12.2022: 1-12
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Artikel 16154 The impact of cross-docked poses on performance of machine learning classifier for protein–ligand binding pose prediction
Enthalten in Journal of cheminformatics Bd. 13, 16.10.2021, Nr. 1, date:12.2021: 1-18
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Artikel 16155 The impact of data distribution on Q-learning with function approximation
Enthalten in Machine learning Bd. 113, 7.6.2024, Nr. 9, date:9.2024: 6141-6163
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Artikel 16156 The impact of imputation quality on machine learning classifiers for datasets with missing values
Enthalten in Communications medicine Bd. 3, 6.10.2023, Nr. 1, date:12.2023: 1-15
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Artikel 16157 The impact of machine learning applications in agricultural supply chain: a topic modeling-based review
Enthalten in Discover food Bd. 5, 19.5.2025, Nr. 1, date:12.2025: 1-26
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Artikel 16158 The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: a machine learning approach
Enthalten in Scientific reports Bd. 13, 20.4.2023, Nr. 1, date:12.2023: 1-16
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Artikel 16159 The importance of expert knowledge in big data and machine learning
Enthalten in Synthese Bd. 201, 20.1.2023, Nr. 2, date:2.2023: 1-21
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Artikel 16160 The importance of interpreting machine learning models for blood glucose prediction in diabetes: an analysis using SHAP
Enthalten in Scientific reports Bd. 13, 6.10.2023, Nr. 1, date:12.2023: 1-13
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