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Ergebnis der Suche nach: "Machine Learning"
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Artikel 27281 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 27282 Word Embeddings and Machine Learning Classifiers Applications for Automatic Detection of Suicide Tendencies in Social Media
Enthalten in Programming and computer software Bd. 50, 12.1.2025, Nr. 8, date:12.2024: 612-620
Online Ressource
Artikel 27283 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 27284 WSETO: wild stock exchange trading optimization algorithm enabled routing for NB-IoT tracking system
Enthalten in International journal of information technology Bd. 16, 3.9.2024, Nr. 8, date:12.2024: 4895-4905
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Artikel 27285 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 27286 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
Online Ressource
Artikel 27287 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
Online Ressource
Artikel 27288 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
Online Ressource
Artikel 27289 XEMLPD: an explainable ensemble machine learning approach for Parkinson disease diagnosis with optimized features
Enthalten in International journal of speech technology Bd. 27, 16.10.2024, Nr. 4, date:12.2024: 1055-1083
Online Ressource
Artikel 27290 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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