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13641
Tree-based ensemble machine learning models in the prediction of acute respiratory distress syndrome following cardiac surgery: a multicenter cohort study
Enthalten in Journal of translational medicine Bd. 22, 15.8.2024, Nr. 1, date:12.2024: 1-14
13642
TREE CROWN DELINEATION ON UAV IMAGERY USING COMBINATION OF MACHINE LEARNING ALGORITHMS WITH MAJORITY VOTING
Enthalten in ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. X-4/W1-2022, 2023: 287-293. 7 S.
13643
TREE-GPT: MODULAR LARGE LANGUAGE MODEL EXPERT SYSTEM FOR FOREST REMOTE SENSING IMAGE UNDERSTANDING AND INTERACTIVE ANALYSIS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 1729-1736. 8 S.
13644
Trends and methods in intensive care unit (ICU) research using machine learning: latent dirichlet allocation (LDA)-based thematic literature review
Enthalten in BMC medical informatics and decision making Bd. 25, 29.7.2025, Nr. 1, date:12.2025: 1-16
13645
Triage of documents containing protein interactions affected by mutations using an NLP based machine learning approach
Enthalten in BMC genomics Bd. 21, 10.11.2020, Nr. 1, date:12.2020: 1-10
13646
Triboinformatic analysis and prediction of B4C and granite powder filled Al 6082 composites using machine learning regression models
Enthalten in Scientific reports Bd. 15, 25.7.2025, Nr. 1, date:12.2025: 1-30
13647
Trimming stability selection increases variable selection robustness
Enthalten in Machine learning Bd. 112, 4.10.2023, Nr. 12, date:12.2023: 4995-5055
13648
Trimodal machine learning based biometrics system
Enthalten in Scientific reports Bd. 15, 1.7.2025, Nr. 1, date:12.2025: 1-10
13649
Trust-driven approach to enhance early forest fire detection using machine learning
Enthalten in Scientific reports Bd. 15, 25.4.2025, Nr. 1, date:12.2025: 1-22
13650
Trustworthy machine learning in the context of security and privacy
Enthalten in International journal of information security Bd. 23, 3.4.2024, Nr. 3, date:6.2024: 2287-2314
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