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26411 |
Smartphones dependency risk analysis using machine-learning predictive models
Enthalten in Scientific reports Bd. 12, 31.12.2022, Nr. 1, date:12.2022: 1-12
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26412 |
Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps
Enthalten in Current psychiatry reports Bd. 20, 28.6.2018, Nr. 7, date:7.2018: 1-6
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26413 |
Smoke testing for machine learning: simple tests to discover severe bugs
Enthalten in Empirical software engineering Bd. 27, 21.1.2022, Nr. 2, date:3.2022: 1-30
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26414 |
Smooth input preparation for quantum and quantum-inspired machine learning
Enthalten in Quantum machine intelligence Bd. 3, 26.4.2021, Nr. 1, date:6.2021: 1-6
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26415 |
SMOTE and ExtraTreesRegressor based random forest technique for predicting Australian rainfall
Enthalten in International journal of information technology Bd. 15, 1.3.2023, Nr. 3, date:3.2023: 1679-1687
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26416 |
SMR-guided molecular subtyping and machine learning model reveals novel prognostic biomarkers and therapeutic targets in non-small cell lung adenocarcinoma
Enthalten in Scientific reports Bd. 15, 10.1.2025, Nr. 1, date:12.2025: 1-18
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26417 |
SNooPer: a machine learning-based method for somatic variant identification from low-pass next-generation sequencing
Enthalten in BMC genomics Bd. 17, 14.11.2016, Nr. 1, date:12.2016: 1-11
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26418 |
Snow and glacial feature identification using Hyperion dataset and machine learning algorithms
Enthalten in Arabian journal of geosciences Bd. 14, 28.7.2021, Nr. 15, date:8.2021: 1-21
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26419 |
SNOW AVALANCHE SUSCEPTIBILITY MAPPING FOR DAVOS, SWITZERLAND
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLIII-B3-2022, 2022: 1083-1090. 8 S.
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26420 |
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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