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"Machine Learning"
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14331
Wearable sensor and machine learning estimate tendon load and walking speed during immobilizing boot ambulation
Enthalten in Scientific reports Bd. 13, 23.10.2023, Nr. 1, date:12.2023: 1-11
14332
WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification
Enthalten in Machine learning Bd. 112, 19.9.2023, Nr. 12, date:12.2023: 4763-4788
14333
Web application using machine learning to predict cardiovascular disease and hypertension in mine workers
Enthalten in Scientific reports Bd. 14, 30.12.2024, Nr. 1, date:12.2024: 1-14
14334
WEIBULL MULTIPLICATIVE MODEL AND MACHINE LEARNING MODELS FOR FULL-AUTOMATIC DARK-SPOT DETECTION FROM SAR IMAGES
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XL-1/W3, 2013: 421-424
14335
Weighted gene coexpression network analysis and machine learning reveal oncogenome associated microbiome plays an important role in tumor immunity and prognosis in pan-cancer
Enthalten in Journal of translational medicine Bd. 21, 12.8.2023, Nr. 1, date:12.2023: 1-21
14336
Weighting non-IID batches for out-of-distribution detection
Enthalten in Machine learning Bd. 113, 19.8.2024, Nr. 10, date:10.2024: 7371-7391
14337
WGO: a similarly encoded whale-goshawk optimization algorithm for uncertain cloud manufacturing service composition
Enthalten in Autonomous intelligent systems Bd. 5, 5.3.2025, Nr. 1, date:12.2025: 1-13
14338
What can we learn about the psychiatric diagnostic categories by analysing patients' lived experiences with Machine-Learning?
Enthalten in BMC psychiatry Bd. 22, 24.6.2022, Nr. 1, date:12.2022: 1-17
14339
What could be the role of genetic tests and machine learning of AXIN2 variant dominance in non-syndromic hypodontia? A case-control study in orthodontically treated patients
Enthalten in Progress in orthodontics Bd. 25, 26.8.2024, Nr. 1, date:12.2024: 1-11
14340
What do users in a polycystic ovary syndrome (PCOS) forum think about the treatments they tried: Analysing treatment sentiment using machine learning
Enthalten in Physical and engineering sciences in medicine Bd. 48, 14.4.2025, Nr. 2, date:6.2025: 723-741
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