|
25921 |
PT4Rec: a universal prompt-tuning framework for graph contrastive learning-based recommendations
Enthalten in Machine learning Bd. 114, 6.2.2025, Nr. 3, date:3.2025: 1-20
|
|
|
|
25922 |
Public subsidies and innovation: a doubly robust machine learning approach leveraging deep neural networks
Enthalten in Empirical economics Bd. 64, 11.5.2023, Nr. 6, date:6.2023: 3121-3165
|
|
|
|
25923 |
Publicly available machine learning models for identifying opioid misuse from the clinical notes of hospitalized patients
Enthalten in BMC medical informatics and decision making Bd. 20, 29.4.2020, Nr. 1, date:12.2020: 1-11
|
|
|
|
25924 |
Publisher Correction: 2023—A twofold commemoration: the 100th birthday of Walsh functions and the 50th anniversary of Professor Joseph Leonard Walsh’s death
Enthalten in Sampling theory, signal processing, and data analysis Bd. 22, 3.4.2024, Nr. 1, date:6.2024: 1-2
|
|
|
|
25925 |
Publisher Correction: A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images
Enthalten in Scientific reports Bd. 15, 11.3.2025, Nr. 1, date:12.2025: 1
|
|
|
|
25926 |
Publisher Correction: A robust and interpretable ensemble machine learning model for predicting healthcare insurance fraud
Enthalten in Scientific reports Bd. 15, 13.5.2025, Nr. 1, date:12.2025: 1
|
|
|
|
25927 |
Publisher Correction: An interpretable machine learning model for seasonal precipitation forecasting
Enthalten in Communications earth & environment Bd. 6, 12.4.2025, Nr. 1, date:12.2025: 1
|
|
|
|
25928 |
Publisher Correction: Classification of magnetic order from electronic structure by using machine learning
Enthalten in Scientific reports Bd. 13, 21.8.2023, Nr. 1, date:12.2023: 1-2
|
|
|
|
25929 |
Publisher Correction: Development and assessment of a machine learning tool for predicting emergency admission in Scotland
Enthalten in npj digital medicine Bd. 7, 26.10.2024, Nr. 1, date:12.2024: 1
|
|
|
|
25930 |
Publisher Correction: Evaluating climate-related financial policies’ impact on decarbonization with machine learning methods
Enthalten in Scientific reports Bd. 15, 13.5.2025, Nr. 1, date:12.2025: 1-4
|
|
Administration
