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26251 |
Seasonal antigenic prediction of influenza A H3N2 using machine learning
Enthalten in Nature Communications Bd. 15, 7.5.2024, Nr. 1, date:12.2024: 1-12
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26252 |
Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation
Enthalten in Nature Communications Bd. 14, 22.9.2023, Nr. 1, date:12.2023: 1-16
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26253 |
Seasonality of acute kidney injury phenotypes in England: an unsupervised machine learning classification study of electronic health records
Enthalten in BMC nephrology Bd. 24, 9.8.2023, Nr. 1, date:12.2023: 1-9
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26254 |
Seasonally adjusted laboratory reference intervals to improve the performance of machine learning models for classification of cardiovascular diseases
Enthalten in BMC medical informatics and decision making Bd. 24, 4.3.2024, Nr. 1, date:12.2024: 1-11
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26255 |
SEAWEED PRESENCE DETECTION USING MACHINE LEARNING AND REMOTE SENSING
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 1011-1017. 7 S.
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26256 |
Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures
Enthalten in BMC medical informatics and decision making Bd. 24, 23.7.2024, Nr. 4, date:12.2024: 1-17
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26257 |
Second opinion needed: communicating uncertainty in medical machine learning
Enthalten in npj digital medicine Bd. 4, 5.1.2021, Nr. 1, date:12.2021: 1-6
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26258 |
Second order Kalman filtering channel estimation and machine learning methods for spectrum sensing in cognitive radio networks
Enthalten in Wireless networks Bd. 27, 10.5.2021, Nr. 5, date:7.2021: 3273-3286
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26259 |
Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization
Enthalten in Machine learning Bd. 113, 27.6.2024, Nr. 9, date:9.2024: 6413-6451
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26260 |
Secure aware disaster recovery in cloud using an adaptive coati optimization algorithm
Enthalten in International journal of information technology Bd. 16, 27.3.2024, Nr. 5, date:6.2024: 2783-2793
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