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10451 |
Machine learning through cryptographic glasses: combating adversarial attacks by key-based diversified aggregation
Enthalten in EURASIP journal on information security Bd. 2020, 1.6.2020, Nr. 1, date:12.2020: 1-18
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10452 |
Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis
Enthalten in BMC bioinformatics Bd. 24, 6.1.2023, Nr. 1, date:12.2023: 1-20
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10453 |
Machine Learning to Assess the Risk of Multidrug-Resistant Gram-Negative Bacilli Infections in Febrile Neutropenic Hematological Patients
Enthalten in Infectious diseases and therapy Bd. 10, 16.4.2021, Nr. 2, date:6.2021: 971-983
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10454 |
Machine learning to assist clinical decision-making during the COVID-19 pandemic
Enthalten in Bioelectronic medicine Bd. 6, 10.7.2020, Nr. 1, date:12.2020: 1-8
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10455 |
Machine Learning to Determine Risk Factors for Myopia Progression in Primary School Children: The Anyang Childhood Eye Study
Enthalten in Ophthalmology and therapy Bd. 11, 21.1.2022, Nr. 2, date:4.2022: 573-585
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10456 |
Machine learning to establish three sphingolipid metabolism genes signature to characterize the immune landscape and prognosis of patients with gastric cancer
Enthalten in BMC genomics Bd. 25, 28.3.2024, Nr. 1, date:12.2024: 1-13
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10457 |
Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study
Enthalten in BMC medical informatics and decision making Bd. 19, 8.5.2019, Nr. 1, date:12.2019: 1-12
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10458 |
Machine learning to identify chronic cough from administrative claims data
Enthalten in Scientific reports Bd. 14, 30.1.2024, Nr. 1, date:12.2024: 1-10
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10459 |
Machine learning to identify environmental drivers of phytoplankton blooms in the Southern Baltic Sea
Enthalten in Scientific reports Bd. 15, 24.1.2025, Nr. 1, date:12.2025: 1-16
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10460 |
Machine learning to identify geologic factors associated with production in geothermal fields: a case-study using 3D geologic data, Brady geothermal field, Nevada
Enthalten in Geothermal Energy Bd. 9, 30.6.2021, Nr. 1, date:12.2021: 1-17
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Administration
