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15931 |
SEMANTIC URBAN MESH SEGMENTATION BASED ON AERIAL OBLIQUE IMAGES AND POINT CLOUDS USING DEEP LEARNING
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B2-2022, 2022: 485-491. 7 S.
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15932 |
Semi-automated title-abstract screening using natural language processing and machine learning
Enthalten in Systematic Reviews Bd. 13, 1.11.2024, Nr. 1, date:12.2024: 1-14
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15933 |
Semi-Lipschitz functions and machine learning for discrete dynamical systems on graphs
Enthalten in Machine learning Bd. 111, 23.3.2022, Nr. 5, date:5.2022: 1765-1797
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15934 |
Semi-supervised machine-learning classification of materials synthesis procedures
Enthalten in npj computational materials Bd. 5, 8.7.2019, Nr. 1, date:12.2019: 1-7
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15935 |
Semi-supervised machine learning for automated species identification by collagen peptide mass fingerprinting
Enthalten in BMC bioinformatics Bd. 19, 26.6.2018, Nr. 1, date:12.2018: 1-9
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15936 |
Semiconductor Multilayer Nanometrology with Machine Learning
Enthalten in Nanomanufacturing and metrology Bd. 6, 4.5.2023, Nr. 1, date:12.2023: 1-18
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15937 |
SEMORE: SEgmentation and MORphological fingErprinting by machine learning automates super-resolution data analysis
Enthalten in Nature Communications Bd. 15, 26.2.2024, Nr. 1, date:12.2024: 1-13
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15938 |
SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden
Enthalten in Genome medicine Bd. 17, 14.1.2025, Nr. 1, date:12.2025: 1-16
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15939 |
Sensitive analysis of meteorological data and selecting appropriate machine learning model for estimation of reference evapotranspiration
Enthalten in Applied water science Bd. 13, 28.2.2023, Nr. 3, date:3.2023: 1-17
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15940 |
Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI
Enthalten in BMC medical imaging Bd. 21, 15.2.2021, Nr. 1, date:12.2021: 1-8
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