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Ergebnis der Suche nach: "Machine Learning"
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26371 - 26380 von 27933
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Artikel 26371 Single-cell omics and machine learning integration to develop a polyamine metabolism-based risk score model in breast cancer patients
Enthalten in Journal of cancer research and clinical oncology Bd. 150, 23.10.2024, Nr. 10, date:10.2024: 1-20
Online Ressource
Artikel 26372 Single-cell RNA-sequencing and genome-wide Mendelian randomisation along with abundant machine learning methods identify a novel B cells signature in gastric cancer
Enthalten in Discover oncology Bd. 16, 6.1.2025, Nr. 1, date:12.2025: 1-16
Online Ressource
Artikel 26373 Single-cell Sequence Analysis Combined with Multiple Machine Learning to Identify Markers in Sepsis Patients: LILRA5
Enthalten in Inflammation Bd. 46, 15.3.2023, Nr. 4, date:8.2023: 1236-1254
Online Ressource
Artikel 26374 Single-Class Classification with Mapping Convergence
Enthalten in Machine learning Bd. 61, 9.6.2005, Nr. 1-3, date:11.2005: 49-69
Online Ressource
Artikel 26375 Single classifier vs. ensemble machine learning approaches for mental health prediction
Enthalten in Brain Informatics Bd. 10, 3.1.2023, Nr. 1, date:12.2023: 1-10
Online Ressource
Artikel 26376 Single-Component/Single-Station–Based Machine Learning for Estimating Magnitude and Location of an Earthquake: A Support Vector Machine Approach
Enthalten in Pure and applied geophysics Bd. 178, 12.5.2021, Nr. 6, date:6.2021: 1959-1976
Online Ressource
Artikel 26377 Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of supervised machine learning classifiers
Enthalten in BMC medicine Bd. 20, 12.9.2022, Nr. 1, date:12.2022: 1-16
Online Ressource
Artikel 26378 Single-shot and lensless complex-amplitude imaging with incoherent light based on machine learning
Enthalten in Optical review Bd. 25, 31.7.2018, Nr. 5, date:10.2018: 593-597
Online Ressource
Artikel 26379 Single-trial extraction of event-related potentials (ERPs) and classification of visual stimuli by ensemble use of discrete wavelet transform with Huffman coding and machine learning techniques
Enthalten in Journal of neuroEngineering and rehabilitation Bd. 20, 2.6.2023, Nr. 1, date:12.2023: 1-17
Online Ressource
Artikel 26380 Six clinical phenotypes with prognostic implications were identified by unsupervised machine learning in children and adolescents with SARS-CoV-2 infection: results from a German nationwide registry
Enthalten in Respiratory research Bd. 25, 30.10.2024, Nr. 1, date:12.2024: 1-11
Online Ressource


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