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28551 |
Utilizing SMOTE-TomekLink and machine learning to construct a predictive model for elderly medical and daily care services demand
Enthalten in Scientific reports Bd. 15, 11.3.2025, Nr. 1, date:12.2025: 1-12
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28552 |
Utilizing social media and machine learning for personality and emotion recognition using PERS
Enthalten in Neural computing & applications Bd. 35, 5.9.2023, Nr. 33, date:11.2023: 23927-23941
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28553 |
Utilizing Supervised Machine Learning and Technical Indicators for Quantitative Trading to Improve Stock Market Trading Decisions
Enthalten in SN Computer Science Bd. 6, 26.5.2025, Nr. 5, date:6.2025: 1-17
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28554 |
UWB anchor nodes self-calibration in NLOS conditions: a machine learning and adaptive PHY error correction approach
Enthalten in Wireless networks Bd. 27, 7.5.2021, Nr. 4, date:5.2021: 3007-3023
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28555 |
VacPred: Sequence-based prediction of plant vacuole proteins using machine-learning techniques
Enthalten in Journal of biosciences Bd. 45, 27.8.2020, Nr. 1, date:12.2020: 1-9
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28556 |
Valid inference for machine learning-assisted genome-wide association studies
Enthalten in Nature genetics Bd. 56, 30.9.2024, Nr. 11, date:11.2024: 2361-2369
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28557 |
Validating administrative data to identify complex surgical site infections following cardiac implantable electronic device implantation: a comparison of traditional methods and machine learning
Enthalten in Antimicrobial resistance and infection control Bd. 11, 10.11.2022, Nr. 1, date:12.2022: 1-9
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28558 |
Validating The Philippine Mangrove Map 2023 through Capacity Building and Crowdsourcing
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-5-2024, 2024: 243-250. 8 S.
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28559 |
Validation of a blood biomarker panel for machine learning-based radiation biodosimetry in juvenile and adult C57BL/6 mice
Enthalten in Scientific reports Bd. 14, 12.10.2024, Nr. 1, date:12.2024: 1-10
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28560 |
Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals
Enthalten in BMC medical informatics and decision making Bd. 20, 27.10.2020, Nr. 1, date:12.2020: 1-10
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Administration
