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26511 |
Stacked ensemble machine learning for porosity and absolute permeability prediction of carbonate rock plugs Enthalten in Scientific reports Bd. 13, 17.6.2023, Nr. 1, date:12.2023: 1-17
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26512 |
Stacked Ensemble with Machine Learning Regressors on Optimal Features (SMOF) of hyperspectral sensor PRISMA for inland water turbidity prediction Enthalten in Environmental science and pollution research Bd. 31, 25.11.2024, Nr. 57, date:12.2024: 65464-65480
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26513 |
Stacked machine learning models for accurate estimation of shear and Stoneley wave transit times in DSI log Enthalten in Scientific reports Bd. 15, 14.3.2025, Nr. 1, date:12.2025: 1-22
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26514 |
Stacked machine learning models for predicting species richness and endemism for Mediterranean endemic plants in the Mareotis subsector in Egypt Enthalten in Plant ecology Bd. 224, 14.11.2023, Nr. 12, date:12.2023: 1113-1126
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26515 |
StackHCV: a web-based integrative machine-learning framework for large-scale identification of hepatitis C virus NS5B inhibitors Enthalten in Journal of computer aided molecular design Bd. 35, 8.10.2021, Nr. 10, date:10.2021: 1037-1053
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26516 |
Stacking-based ensemble model for malware detection in android devices Enthalten in International journal of information technology Bd. 15, 2.8.2023, Nr. 6, date:8.2023: 2907-2915
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26517 |
Stacking Ensemble Machine Learning-Based Shear Strength Model for Rock Discontinuity Enthalten in Geotechnical and geological engineering Bd. 40, 2.3.2022, Nr. 6, date:6.2022: 3091-3106
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26518 |
Stacking ensemble of machine learning methods for landslide susceptibility mapping in Zhangjiajie City, Hunan Province, China Enthalten in Environmental earth sciences Bd. 82, 28.12.2022, Nr. 1, date:1.2023: 1-18
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26519 |
Staging and quantification of florbetaben PET images using machine learning: impact of predicted regional cortical tracer uptake and amyloid stage on clinical outcomes Enthalten in European journal of nuclear medicine and molecular imaging Bd. 47, 28.12.2019, Nr. 8, date:7.2020: 1971-1983
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26520 |
Staging of colorectal cancer using lipid biomarkers and machine learning Enthalten in Metabolomics Bd. 19, 20.9.2023, Nr. 10, date:10.2023: 1-11
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