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16121 |
The atmospheric boundary layer: a review of current challenges and a new generation of machine learning techniques
Enthalten in Artificial intelligence review Bd. 57, 17.10.2024, Nr. 12, date:12.2024: 1-51
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16122 |
The BCPM method: decoding breast cancer with machine learning
Enthalten in BMC medical imaging Bd. 24, 17.9.2024, Nr. 1, date:12.2024: 1-10
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16123 |
The benefits and pitfalls of machine learning for biomarker discovery
Enthalten in Cell & tissue research Bd. 394, 27.7.2023, Nr. 1, date:10.2023: 17-31
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16124 |
The biomedical knowledge graph of symptom phenotype in coronary artery plaque: machine learning-based analysis of real-world clinical data
Enthalten in BioData Mining Bd. 17, 21.5.2024, Nr. 1, date:12.2024: 1-17
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16125 |
The BrAID study protocol: integration of machine learning and transcriptomics for brugada syndrome recognition
Enthalten in BMC cardiovascular disorders Bd. 21, 13.10.2021, Nr. 1, date:12.2021: 1-8
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16126 |
The BSM-AI project: SUSY-AI–generalizing LHC limits on supersymmetry with machine learning
Enthalten in The European physical journal / C / Particles and fields Bd. 77, 24.4.2017, Nr. 4, date:4.2017: 1-25
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16127 |
The classification of leek seeds based on fluorescence spectroscopic data using machine learning
Enthalten in European food research and technology Bd. 249, 12.9.2023, Nr. 12, date:12.2023: 3217-3226
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16128 |
The company we keep. Using hemodialysis social network data to classify patients’ kidney transplant attitudes with machine learning algorithms
Enthalten in BMC nephrology Bd. 23, 29.12.2022, Nr. 1, date:12.2022: 1-12
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16129 |
The comparative study of machine learning agent models in flood forecasting for tidal river reaches
Enthalten in Scientific reports Bd. 15, 31.5.2025, Nr. 1, date:12.2025: 1-17
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16130 |
The construction of machine learning-based predictive models for high-quality embryo formation in poor ovarian response patients with progestin-primed ovarian stimulation
Enthalten in Reproductive biology and endocrinology Bd. 22, 10.7.2024, Nr. 1, date:12.2024: 1-11
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