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26611 |
Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach
Enthalten in Stochastic environmental research and risk assessment Bd. 37, 13.3.2023, Nr. 6, date:6.2023: 2243-2270
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26612 |
Snow cover estimation from MODIS and Sentinel-1 SAR data using machine learning algorithms in the western part of the Tianshan Mountains
Enthalten in Journal of mountain science Bd. 17, 11.4.2020, Nr. 4, date:4.2020: 884-897
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26613 |
SNPs and blood inflammatory marker featured machine learning for predicting the efficacy of fluorouracil-based chemotherapy in colorectal cancer
Enthalten in Scientific reports Bd. 14, 12.11.2024, Nr. 1, date:12.2024: 1-14
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26614 |
SO(8) supergravity and the magic of machine learning
Enthalten in Journal of high energy physics Bd. 2019, 9.8.2019, Nr. 8, date:8.2019: 1-57
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26615 |
Social–Emotional Conversational Agents Based on Cognitive Architectures and Machine Learning
Enthalten in Pattern recognition and image analysis Bd. 34, 17.10.2024, Nr. 3, date:9.2024: 765-772
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26616 |
Social & Juristic challenges of AI for Opinion Mining Approaches on Amazon & Flipkart Product Reviews Using Machine Learning Algorithms
Enthalten in SN Computer Science Bd. 2, 30.3.2021, Nr. 3, date:5.2021: 1-21
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26617 |
SOCIAL MEDIA DATA PROCESSING AND ANALYSIS BY MEANS OF MACHINE LEARNING FOR RAPID DETECTION, ASSESSMENT AND MAPPING THE IMPACT OF DISASTERS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2020, 2020: 1237-1241
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26618 |
Social prediction: a new research paradigm based on machine learning
Enthalten in The Journal of Chinese Sociology Bd. 8, 1.9.2021, Nr. 1, date:12.2021: 1-21
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26619 |
Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged
Enthalten in BMC public health Bd. 24, 23.5.2024, Nr. 1, date:12.2024: 1-11
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26620 |
Socioeconomic and demographic factors associated with anaemia among women of reproductive age in Zimbabwe: a supervised machine learning approach
Enthalten in Discover public health Bd. 22, 7.4.2025, Nr. 1, date:12.2025: 1-17
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