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Ergebnis der Suche nach: "Machine Learning"
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Artikel 26631 Reply to Letter to the Editor on “Not all biases are bad: equitable and inequitable biases in machine learning and radiology”
Enthalten in Insights into imaging Bd. 12, 3.11.2021, Nr. 1, date:12.2021: 1-2
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Artikel 26632 Reply to: comment on “Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning”
Enthalten in Light Bd. 14, 20.1.2025, Nr. 1, date:12.2025: 1-13
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Artikel 26633 Reply to: Comment on “Machine learning enhanced analysis of EBSD data for texture representation”
Enthalten in npj computational materials Bd. 11, 17.3.2025, Nr. 1, date:12.2025: 1-3
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Artikel 26634 Reply to: Letter to Editor Regarding Article “A Machine Learning Approach to Predict Postoperative Pancreatic Fistula after Pancreaticoduodenectomy Using Only Preoperatively Known Data” by Yang, Yanfei et al
Enthalten in Annals of surgical oncology Bd. 31, 3.4.2024, Nr. 7, date:7.2024: 4711-4712
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Artikel 26635 Reply to: Machine learning-driven virtual biopsy system may increase organ discards at aggressive kidney transplant centers
Enthalten in Nature Communications Bd. 15, 29.11.2024, Nr. 1, date:12.2024: 1-2
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Artikel 26636 Reply to: Machine-learning prediction of hosts of novel coronaviruses requires caution as it may affect wildlife conservation
Enthalten in Nature Communications Bd. 13, 12.9.2022, Nr. 1, date:12.2022: 1-3
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Artikel 26637 Reply: metrics to assess machine learning models
Enthalten in npj digital medicine Bd. 1, 10.10.2018, Nr. 1, date:12.2018: 1-2
Online Ressource
Artikel 26638 Report
Enthalten in Datenschutz und Datensicherheit Bd. 42, 18.9.2018, Nr. 10, date:10.2018: 657-663
Online Ressource
Artikel 26639 Report of RILEM TC 281-CCC: insights into factors affecting the carbonation rate of concrete with SCMs revealed from data mining and machine learning approaches
Enthalten in Materials and structures Bd. 57, 23.10.2024, Nr. 9, date:11.2024: 1-33
Online Ressource
Artikel 26640 Representation of Vapor-Liquid Equilibria Properties for Binary Mixtures Containing R1234ze(E) using Machine Learning Models
Enthalten in Journal of phase equilibria and diffusion Bd. 42, 17.3.2021, Nr. 2, date:4.2021: 231-244
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