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16261 |
Using explainable machine learning and fitbit data to investigate predictors of adolescent obesity
Enthalten in Scientific reports Bd. 14, 31.5.2024, Nr. 1, date:12.2024: 1-12
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16262 |
USING GIS DATA AND MACHINE LEARNING FOR MINERAL MAPPING. STUDY CASE, BOU SKOUR EASTERN ANTI-ATLAS, MOROCCO
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-4/W6-2022, 2023: 423-430. 8 S.
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16263 |
Using human brain activity to guide machine learning
Enthalten in Scientific reports Bd. 8, 29.3.2018, Nr. 1, date:12.2018: 1-10
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16264 |
Using informative features in machine learning based method for COVID-19 drug repurposing
Enthalten in Journal of cheminformatics Bd. 13, 20.9.2021, Nr. 1, date:12.2021: 1-14
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16265 |
Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES
Enthalten in BMC public health Bd. 24, 1.11.2024, Nr. 1, date:12.2024: 1-15
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16266 |
Using Jupyter Notebooks for re-training machine learning models
Enthalten in Journal of cheminformatics Bd. 14, 13.8.2022, Nr. 1, date:12.2022: 1-9
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16267 |
Using machine learning algorithm to analyse the hypothyroidism complications caused by radiotherapy in patients with head and neck cancer
Enthalten in Scientific reports Bd. 13, 6.11.2023, Nr. 1, date:12.2023: 1-10
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16268 |
Using machine learning algorithms to enhance IoT system security
Enthalten in Scientific reports Bd. 14, 27.5.2024, Nr. 1, date:12.2024: 1-19
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16269 |
Using machine learning algorithms to guide rehabilitation planning for home care clients
Enthalten in BMC medical informatics and decision making Bd. 7, 20.12.2007, Nr. 1, date:12.2007: 1-13
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16270 |
Using machine learning algorithms to identify genes essential for cell survival
Enthalten in BMC bioinformatics Bd. 18, 3.10.2017, Nr. 11, date:10.2017: 19-29
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