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16751 - 16760 von 16779
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Artikel 16751 Well-tuned algorithms for the Team Orienteering Problem with Time Windows
Enthalten in Operational Research Society: Journal of the Operational Research Society Bd. 68, 26.6.2017, Nr. 8, date:8.2017: 861-876
Online Ressource
Artikel 16752 What do algorithms explain? The issue of the goals and capabilities of Explainable Artificial Intelligence (XAI)
Enthalten in Humanities and Social Sciences Communications Bd. 11, 14.6.2024, Nr. 1, date:12.2024: 1-10
Online Ressource
Artikel 16753 What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection
Enthalten in Aerosol and Air Quality Research Bd. 22, 27.6.2022, Nr. 9, date:9.2022: 1-16
Online Ressource
Artikel 16754 What is morally at stake when using algorithms to make medical diagnoses? Expanding the discussion beyond risks and harms
Enthalten in Theoretical medicine and bioethics Bd. 42, 1.1.2022, Nr. 5-6, date:12.2021: 245-266
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Artikel 16755 What is shape? Characterizing particle morphology with genetic algorithms and deep generative models
Enthalten in Granular matter Bd. 25, 4.11.2022, Nr. 1, date:2.2023: 1-12
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Artikel 16756 What quantifies good primary care in the United States? A review of algorithms and metrics using real-world data
Enthalten in BMC primary care Bd. 24, 24.6.2023, Nr. 1, date:12.2023: 1-9
Online Ressource
Artikel 16757 When Ants Attack: Ant Algorithms for Constraint Satisfaction Problems
Enthalten in Artificial intelligence review Bd. 24, 25.10.2005, Nr. 3-4, date:11.2005: 455-476
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Artikel 16758 When the levee breaks: a practical guide to sketching algorithms for processing the flood of genomic data
Enthalten in Genome biology Bd. 20, 13.9.2019, Nr. 1, date:12.2019: 1-12
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Artikel 16759 Which are best for successful aging prediction? Bagging, boosting, or simple machine learning algorithms?
Enthalten in Biomedical engineering online Bd. 22, 29.8.2023, Nr. 1, date:12.2023: 1-25
Online Ressource
Artikel 16760 Whole-tumor histogram analysis of apparent diffusion coefficient maps with machine learning algorithms for predicting histologic grade of sinonasal squamous cell carcinoma: a preliminary study
Enthalten in European archives of oto-rhino-laryngology and head & neck Bd. 280, 9.5.2023, Nr. 9, date:9.2023: 4131-4140
Online Ressource


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