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26281 - 26290 von 28816

	26281	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
	26282	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
	26283	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
	26284	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
	26285	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
	26286	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
	26287	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
	26288	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
	26289	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
	26290	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

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