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16071 |
SVFX: a machine learning framework to quantify the pathogenicity of structural variants Enthalten in Genome biology Bd. 21, 9.11.2020, Nr. 1, date:12.2020: 1-21
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16072 |
SVLearn: a dual-reference machine learning approach enables accurate cross-species genotyping of structural variants Enthalten in Nature Communications Bd. 16, 11.3.2025, Nr. 1, date:12.2025: 1-14
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16073 |
SVM directed machine learning classifier for human action recognition network Enthalten in Scientific reports Bd. 15, 3.1.2025, Nr. 1, date:12.2025: 1-18
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16074 |
SVR and ARIMA models as machine learning solutions for solving the latency problem in real-time clock corrections Enthalten in GPS solutions Bd. 26, 8.6.2022, Nr. 3, date:7.2022: 1-14
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16075 |
Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach Enthalten in Scientific reports Bd. 10, 11.12.2020, Nr. 1, date:12.2020: 1-11
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16076 |
Symptom-based scoring technique by machine learning to predict COVID-19: a validation study Enthalten in BMC infectious diseases Bd. 23, 12.12.2023, Nr. 1, date:12.2023: 1-11
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16077 |
Symptom clusters among cancer survivors: what can machine learning techniques tell us? Enthalten in BMC medical research methodology Bd. 21, 16.8.2021, Nr. 1, date:12.2021: 1-12
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16078 |
Synergic quantum generative machine learning Enthalten in Scientific reports Bd. 13, 9.8.2023, Nr. 1, date:12.2023: 1-14
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16079 |
Synergistic bioinformatics and sophisticated machine learning unveil ferroptosis-driven regulatory pathways and immunotherapy potential in breast carcinoma Enthalten in Discover oncology Bd. 16, 4.5.2025, Nr. 1, date:12.2025: 1-21
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16080 |
Synergistic detection of E. coli using ultrathin film of functionalized graphene with impedance spectroscopy and machine learning Enthalten in Scientific reports Bd. 15, 30.4.2025, Nr. 1, date:12.2025: 1-11
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