|
25931 |
Proposing an ensemble machine learning based drought vulnerability index using M5P, dagging, random sub-space and rotation forest models
Enthalten in Stochastic environmental research and risk assessment Bd. 37, 6.3.2023, Nr. 7, date:7.2023: 2513-2540
|
|
|
|
25932 |
Prospective prediction of PTSD diagnosis in a nationally representative sample using machine learning
Enthalten in BMC psychiatry Bd. 20, 10.11.2020, Nr. 1, date:12.2020: 1-10
|
|
|
|
25933 |
Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis
Enthalten in Nature medicine Bd. 28, 21.7.2022, Nr. 7, date:7.2022: 1455-1460
|
|
|
|
25934 |
Prospects of non-resonant di-Higgs searches and Higgs boson self-coupling measurement at the HE-LHC using machine learning techniques
Enthalten in Journal of high energy physics Bd. 2020, 28.12.2020, Nr. 12, date:12.2020: 1-47
|
|
|
|
25935 |
PrOsteoporosis: predicting osteoporosis risk using NHANES data and machine learning approach
Enthalten in Biomed Central (London): BMC Research Notes Bd. 18, 11.3.2025, Nr. 1, date:12.2025: 1-10
|
|
|
|
25936 |
Protecting Machine Learning Models from Training Data Set Extraction
Enthalten in Automatic control and computer sciences Bd. 58, 14.3.2025, Nr. 8, date:12.2024: 1234-1241
|
|
|
|
25937 |
Protection against Adversarial Attacks on Malware Detectors Using Machine Learning Algorithms
Enthalten in Automatic control and computer sciences Bd. 55, 1.3.2022, Nr. 8, date:12.2021: 1025-1028
|
|
|
|
25938 |
Protection of Computational Machine Learning Models against Extraction Threat
Enthalten in Automatic control and computer sciences Bd. 57, 29.2.2024, Nr. 8, date:12.2023: 996-1004
|
|
|
|
25939 |
Protein data in the identification and stage prediction of bronchopulmonary dysplasia on preterm infants: a machine learning study
Enthalten in International journal of information technology Bd. 16, 29.11.2023, Nr. 1, date:1.2024: 387-392
|
|
|
|
25940 |
Protein interactions, network pharmacology, and machine learning work together to predict genes linked to mitochondrial dysfunction in hypertrophic cardiomyopathy
Enthalten in Scientific reports Bd. 15, 29.4.2025, Nr. 1, date:12.2025: 1-23
|
|
Administration
