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"Machine Learning"
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16651 - 16660 von 17051
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16651
Two heads are better than one: current landscape of integrating QSP and machine learning
Enthalten in Journal of pharmacokinetics and pharmacodynamics Bd. 49, 1.2.2022, Nr. 1, date:2.2022: 5-18
16652
Two machine learning-based nomogram to predict risk and prognostic factors for liver metastasis from pancreatic neuroendocrine tumors: a multicenter study
Enthalten in BMC cancer Bd. 23, 9.6.2023, Nr. 1, date:12.2023: 1-18
16653
Two neuroanatomical subtypes of males with autism spectrum disorder revealed using semi-supervised machine learning
Enthalten in Molecular autism Bd. 13, 23.2.2022, Nr. 1, date:12.2022: 1-14
16654
Two phase feature-ranking for new soil dataset for Coxiella burnetii persistence and classification using machine learning models
Enthalten in Scientific reports Bd. 13, 2.1.2023, Nr. 1, date:12.2023: 1-15
16655
Two-stage machine learning models for bowel lesions characterisation using self-propelled capsule dynamics
Enthalten in Nonlinear dynamics Bd. 111, 8.9.2023, Nr. 20, date:10.2023: 19387-19410
16656
Type 2 diabetes and susceptibility to COVID-19: a machine learning analysis
Enthalten in BMC endocrine disorders Bd. 24, 21.10.2024, Nr. 1, date:12.2024: 1-9
16657
UAV-BASED RIVER PLASTIC DETECTION WITH A MULTISPECTRAL CAMERA
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 855-861. 7 S.
16658
UAV imaging for spectral characterization of Coffee Leaf Miner (<i>Leucoptera coffeella</i>) infestation in the Cerrado Mineiro region
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-3-2024, 2024: 285-291. 7 S.
16659
UbiSite: incorporating two-layered machine learning method with substrate motifs to predict ubiquitin-conjugation site on lysines
Enthalten in BMC systems biology Bd. 10, 11.1.2016, Nr. 1, date:12.2016: 49-61
16660
UCoDe: unified community detection with graph convolutional networks
Enthalten in Machine learning Bd. 112, 20.9.2023, Nr. 12, date:12.2023: 5057-5080
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