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Ergebnis der Suche nach: "Machine Learning"
im Bestand: Gesamter Bestand

29421 - 29430 von 29436
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Artikel 29421 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 29422 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 29423 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
Online Ressource
Artikel 29424 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
Online Ressource
Artikel 29425 XGBoosting Cricket: Enhancing Predictive Modeling for Twenty20 Match Results Using Machine Learning and Statistical Techniques
Enthalten in SN Computer Science Bd. 5, 9.11.2024, Nr. 8, date:12.2024: 1-7
Online Ressource
Artikel 29426 XMID-MQTT: explaining machine learning-based intrusion detection system for MQTT protocol in IoT environment
Enthalten in International journal of information security Bd. 24, 14.5.2025, Nr. 3, date:6.2025: 1-22
Online Ressource
Artikel 29427 Year-round behavioural time budgets of common woodpigeons inferred from acceleration data using machine learning
Enthalten in Behavioral ecology and sociobiology Bd. 77, 31.3.2023, Nr. 4, date:4.2023: 1-12
Online Ressource
Artikel 29428 YI 2.1 Pulse Wave Velocity Estimation from the Radial Pulse Waveform using Gaussian Process Regression: A Machine Learning Based Study
Enthalten in Artery research Bd. 26, 31.12.2020, Nr. 1, date:12.2020: S12
Online Ressource
Artikel 29429 Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean
Enthalten in Plant methods Bd. 16, 1.6.2020, Nr. 1, date:12.2020: 1-16
Online Ressource
Artikel 29430 Yield prediction, pest and disease diagnosis, soil fertility mapping, precision irrigation scheduling, and food quality assessment using machine learning and deep learning algorithms
Enthalten in Discover food Bd. 5, 20.3.2025, Nr. 1, date:12.2025: 1-23
Online Ressource


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