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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model
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On explaining recommendations with Large Language Models: a review
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Constructing a machine learning model for systemic infection after kidney stone surgery based on CT values
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An interpretable and stacking ensemble model for predicting heat and mass transfer of desiccant wheel
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How informative is your XAI? Assessing the quality of explanations through information power
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A Machine Learning Model for Predicting Prognosis in HCC Patients With Diabetes After TACE
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An explainable Bayesian gated recurrent unit model for multi-step streamflow forecasting
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Individualized prediction of stroke-associated pneumonia for patients with acute ischemic stroke
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Optimizing Hydrogen Production in the Co-Gasification Process: Comparison of Explainable Regression Models Using Shapley Additive Explanations
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Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture
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ENTEGRE RAPORLAMADA ÇOKLU SERMAYE ÖĞELERİNİ TEMSİL EDEN GÖSTERGELERİN BELİRLENMESİ: TÜRK BANKACILIK SEKTÖRÜ ÖRNEĞİ
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Assessing chemical exposure risk in breastfeeding infants: An explainable machine learning model for human milk transfer prediction
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Identifying the Roadway Infrastructure Factors Affecting Road Accidents Using Interpretable Machine Learning and Data Augmentation
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IoT-Based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning
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