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Ergebnis der Suche nach: "Machine Learning"
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27071 - 27080 von 27092
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Artikel 27071 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
Online Ressource
Artikel 27072 Women health issue: machine learning ensemble techniques to diagnosis breast cancer
Enthalten in Health and Technology Bd. 15, 13.12.2024, Nr. 1, date:1.2025: 81-92
Online Ressource
Artikel 27073 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 27074 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 27075 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
Online Ressource
Artikel 27076 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
Online Ressource
Artikel 27077 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 27078 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 27079 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 27080 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


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