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26051 |
Reply: metrics to assess machine learning models
Enthalten in npj digital medicine Bd. 1, 10.10.2018, Nr. 1, date:12.2018: 1-2
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26052 |
Report
Enthalten in Datenschutz und Datensicherheit Bd. 42, 18.9.2018, Nr. 10, date:10.2018: 657-663
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26053 |
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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26054 |
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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26055 |
Reproduzierbar und sicher
Enthalten in Automobiltechnische Zeitschrift Bd. 121, 22.3.2019, Nr. 4, date:4.2019: 3
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26056 |
Repurposing MALDI-TOF MS for effective antibiotic resistance screening in Staphylococcus epidermidis using machine learning
Enthalten in Scientific reports Bd. 14, 15.10.2024, Nr. 1, date:12.2024: 1-13
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26057 |
RESAMPLING METHODS FOR A RELIABLE VALIDATION SET IN DEEP LEARNING BASED POINT CLOUD CLASSIFICATION
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B2-2022, 2022: 617-624. 8 S.
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26058 |
Research hotspots and frontiers of machine learning in renal medicine: a bibliometric and visual analysis from 2013 to 2024
Enthalten in International urology and nephrology Bd. 57, 30.10.2024, Nr. 3, date:3.2025: 907-928
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26059 |
Research in computing-intensive simulations for nature-oriented civil-engineering and related scientific fields, using machine learning and big data: an overview of open problems
Enthalten in Journal of Big Data Bd. 10, 22.5.2023, Nr. 1, date:12.2023: 1-21
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26060 |
Research of insomnia on traditional Chinese medicine diagnosis and treatment based on machine learning
Enthalten in Chinese medicine Bd. 16, 6.1.2021, Nr. 1, date:12.2021: 1-21
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Administration
