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35611 |
Traditional and machine learning models for predicting haemorrhagic transformation in ischaemic stroke: a systematic review and meta-analysis
Enthalten in Systematic Reviews Bd. 14, 22.2.2025, Nr. 1, date:12.2025: 1-12
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35612 |
Traditional Machine Learning and Deep Learning Modeling for Legume Species Recognition
Enthalten in SN Computer Science Bd. 3, 8.8.2022, Nr. 6, date:11.2022: 1-11
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35613 |
TRAF3 as a potential diagnostic biomarker for recurrent pregnancy loss: insights from single-cell transcriptomics and machine learning
Enthalten in BMC pregnancy and childbirth Bd. 25, 31.5.2025, Nr. 1, date:12.2025: 1-19
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35614 |
Traffic analysis for 5G network slice based on machine learning
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on wireless communications and networking Bd. 2021, 28.4.2021, Nr. 1, date:12.2021: 1-15
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35615 |
Traffic Crash Severity: Comparing the Predictive Performance of Popular Statistical and Machine Learning Models Using the Glasgow Coma Scale
Enthalten in Institution of Engineers, India. Karnataka State Centre: Journal of the Institution of Engineers (India) / Series A Bd. 104, 28.2.2023, Nr. 2, date:6.2023: 435-446
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35616 |
Traffic noise prediction model using GIS and ensemble machine learning: a case study at Universiti Teknologi Malaysia (UTM) Campus
Enthalten in Environmental science and pollution research Bd. 31, 12.10.2024, Nr. 51, date:11.2024: 60905-60926
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35617 |
Training a machine learning classifier to identify ADHD based on real-world clinical data from medical records
Enthalten in Scientific reports Bd. 12, 28.7.2022, Nr. 1, date:12.2022: 1-8
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35618 |
Training data influence analysis and estimation: a survey
Enthalten in Machine learning Bd. 113, 29.3.2024, Nr. 5, date:5.2024: 2351-2403
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35619 |
Training data size and predication errors in the use of machine-learning assisted intraocular lens power calculation
Enthalten in Scientific reports Bd. 13, 13.7.2023, Nr. 1, date:12.2023: 1-6
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35620 |
Training Gaussian boson sampling by quantum machine learning
Enthalten in Quantum machine intelligence Bd. 3, 13.10.2021, Nr. 2, date:12.2021: 1-8
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