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16421 - 16430 von 16434
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Artikel 16421 With super SDMs (machine learning, open access big data, and the cloud) towards more holistic global squirrel hotspots and coldspots
Enthalten in Scientific reports Bd. 14, 3.3.2024, Nr. 1, date:12.2024: 1-10
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Artikel 16422 WOOD-LEAF UNSUPERVISED CLASSIFICATION OF SILVER BIRCH TREES FOR BIOMASS ASSESSMENT USING OBLIQUE POINT CLOUDS
Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLVIII-1/W2-2023, 2023: 1795-1802. 8 S.
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Artikel 16423 WorMachine: machine learning-based phenotypic analysis tool for worms
Enthalten in BMC biology Bd. 16, 16.1.2018, Nr. 1, date:12.2018: 1-11
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Artikel 16424 X-Detect: explainable adversarial patch detection for object detectors in retail
Enthalten in Machine learning Bd. 113, 19.6.2024, Nr. 9, date:9.2024: 6273-6292
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Artikel 16425 X-ray based radiomics machine learning models for predicting collapse of early-stage osteonecrosis of femoral head
Enthalten in Scientific reports Bd. 15, 20.4.2025, Nr. 1, date:12.2025: 1-13
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Artikel 16426 X-ray Coronary Angiogram images and SYNTAX score to develop Machine-Learning algorithms for CHD Diagnosis
Enthalten in Scientific data Bd. 12, 21.3.2025, Nr. 1, date:12.2025: 1-8
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Artikel 16427 XAI-based cross-ensemble feature ranking methodology for machine learning models
Enthalten in International journal of information technology Bd. 15, 29.4.2023, Nr. 4, date:4.2023: 1759-1768
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Artikel 16428 XAI-TRIS: non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance
Enthalten in Machine learning Bd. 113, 16.7.2024, Nr. 9, date:9.2024: 6871-6910
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Artikel 16429 XGBoost-based machine learning test improves the accuracy of hemorrhage prediction among geriatric patients with long-term administration of rivaroxaban
Enthalten in BMC geriatrics Bd. 23, 10.7.2023, Nr. 1, date:12.2023: 1-12
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Artikel 16430 XGBoost model for predicting erectile dysfunction risk after radical prostatectomy: development and validation using machine learning
Enthalten in Discover oncology Bd. 16, 19.5.2025, Nr. 1, date:12.2025: 1-16
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