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11351 |
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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11352 |
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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11353 |
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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11354 |
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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11355 |
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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11356 |
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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11357 |
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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11358 |
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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11359 |
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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11360 |
Research on a machine learning-based adaptive and efficient screening model for psychological symptoms of community correctional prisoners
Enthalten in Scientific reports Bd. 14, 30.4.2024, Nr. 1, date:12.2024: 1-13
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