„Interpretable Models“
Suchergebnisse
178 Treffer
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Enhancing heart failure treatment decisions: interpretable machine learning models for advanced therapy eligibility prediction using EHR data
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Topic space trajectories: A case study on machine learning literature
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Interpretable machine learning models for predicting in-hospital and 30 days adverse events in acute coronary syndrome patients in Kuwait
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An interpretable machine learning strategy for pursuing high piezoelectric coefficients in (K0.5Na0.5)NbO3-based ceramics
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Interpretable machine learning models for predicting venous thromboembolism in the intensive care unit: an analysis based on data from 207 centers
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Predicting positron emission tomography brain amyloid positivity using interpretable machine learning models with wearable sensor data and lifestyle factors
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Towards understanding structure–property relations in materials with interpretable deep learning
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Augmenting interpretable models with large language models during training
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A Framework for Data-Driven Mineral Prospectivity Mapping with Interpretable Machine Learning and Modulated Predictive Modeling
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Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models
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Ultra-fast interpretable machine-learning potentials
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Exploring high thermal conductivity polymers via interpretable machine learning with physical descriptors
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Interpretable machine learning models for early prediction of acute kidney injury after cardiac surgery
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Covariate-Balancing-Aware Interpretable Deep Learning Models for Treatment Effect Estimation
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Enhancing trust and interpretability of complex machine learning models using local interpretable model agnostic shap explanations
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Advancing personalized prognosis in atypical and anaplastic meningiomas through interpretable machine learning models
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Interpretable Predictive Models to Understand Risk Factors for Maternal and Fetal Outcomes
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Generalized hurdle count data models based on interpretable machine learning with an application to health care demand
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IHCP: interpretable hepatitis C prediction system based on black-box machine learning models
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Towards Interpretable Models for Computer Vision