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"Machine Learning"
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42301 - 42310 von 42319
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42301
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
42302
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
42303
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
42304
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
42305
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
42306
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
42307
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
42308
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
42309
Year-round daily wildfire prediction and key factor analysis using machine learning: a case study of Gangwon State, South Korea
Enthalten in Scientific reports Bd. 15, 15.8.2025, Nr. 1, date:12.2025: 1-12
42310
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
42301 - 42310 von 42319
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