|
26821 |
Ultrasound-Based Ovarian Cysts Detection with Improved Machine-Learning Techniques and Stage Classification Using Enhanced Classifiers Enthalten in SN Computer Science Bd. 4, 29.7.2023, Nr. 5, date:9.2023: 1-11
|
|
|
26822 |
Ultrasound-based radiomics machine learning models for diagnosing cervical lymph node metastasis in patients with non-small cell lung cancer: a multicentre study Enthalten in BMC cancer Bd. 24, 27.4.2024, Nr. 1, date:12.2024: 1-11
|
|
|
26823 |
Umwandlung freitextlicher radiologischer Befundtexte in strukturierte Daten Enthalten in Die Radiologie Bd. 65, 11.2.2025, Nr. 4, date:4.2025: 249-256
|
|
|
26824 |
Un algoritmo basato sul machine learning come approccio innovativo per la diagnosi differenziale tra diabete insipido e polidipsia primaria nella pratica clinica Enthalten in L' endocrinologo Bd. 24, 24.7.2023, Nr. 4, date:8.2023: 452-453
|
|
|
26825 |
Unbiased identification of risk factors for invasive Escherichia coli disease using machine learning Enthalten in BMC infectious diseases Bd. 24, 8.8.2024, Nr. 1, date:12.2024: 1-12
|
|
|
26826 |
Unbinned multivariate observables for global SMEFT analyses from machine learning Enthalten in Journal of high energy physics Bd. 2023, 6.3.2023, Nr. 3, date:3.2023: 1-66
|
|
|
26827 |
Unboxing machine learning models for concrete strength prediction using XAI Enthalten in Scientific reports Bd. 13, 14.11.2023, Nr. 1, date:12.2023: 1-20
|
|
|
26828 |
Uncertainty Assessment of Surface Water Salinity Using Standalone, Ensemble, and Deep Machine Learning Methods: A Case Study of Lake Urmia Enthalten in Iranian journal of science and technology / Transactions of civil engineering Bd. 48, 2.3.2024, Nr. 2, date:4.2024: 1029-1047
|
|
|
26829 |
Uncertainty-aware approach for multiple imputation using conventional and machine learning models: a real-world data study Enthalten in Journal of Big Data Bd. 12, 17.4.2025, Nr. 1, date:12.2025: 1-28
|
|
|
26830 |
Uncertainty-aware estimation of population abundance using machine learning Enthalten in Multimedia systems Bd. 22, 3.9.2015, Nr. 6, date:11.2016: 737-749
|
|