Katalog der Deutschen Nationalbibliothek

Neuigkeiten Servicezeiten in Frankfurt am Main ab 1. Dezember 2025: Montag bis Freitag 9–18 Uhr und Samstag 10–16 Uhr
Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00
 
Neuigkeiten Wegen Wartungsarbeiten ist vom 12. bis 14. Januar 2026 der Museumslesesaal, sowie vom 14. bis 16. Januar 2026 der Musiklesesaal geschlossen. // Due to maintenance work the museum reading room will be closed from 12 to 14 January 2026 and the music reading room from 14 to 16 January 2026.
 
 
 


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

33441 - 33450 von 33463
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Artikel 33441 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 33442 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 		Online Ressource
Artikel 33443 X-ray based radiomics machine learning models for predicting collapse of early-stage osteonecrosis of femoral head
Enthalten in Scientific reports Bd. 15, 20.4.2025, Nr. 1, date:12.2025: 1-13 		Online Ressource
Artikel 33444 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 33445 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 33446 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 33447 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 33448 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 33449 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 33450 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


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