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Ergebnis der Suche nach: "Machine Learning"
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Artikel 34401 Reply to Discussion on “A Machine Learning‑Based Method for Predicting End‑Bearing Capacity of Rock‑Socketed Shafts” [Rock Mech Rock Eng 55, 1743–1757]
Enthalten in Rock mechanics and rock engineering Bd. 56, 15.5.2023, Nr. 8, date:8.2023: 6169-6171
Online Ressource
Artikel 34402 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 34403 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 34404 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 34405 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 34406 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 34407 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 34408 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 34409 Report
Enthalten in Datenschutz und Datensicherheit Bd. 42, 18.9.2018, Nr. 10, date:10.2018: 657-663
Online Ressource
Artikel 34410 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
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