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GaLeNet: Multimodal Learning for Disaster Prediction, Management and Relief
In this work, we propose a multimodal framework (GaLeNet) for assessing the severity of damage by complementing pre-disaster images with weather data and the trajectory of the hurricane.
On the Trustworthiness of Tree Ensemble Explainability Methods
The recent increase in the deployment of machine learning models in critical domains such as healthcare, criminal justice, and finance has highlighted the need for trustworthy methods that can explain these models to stakeholders.
Prediction of New Onset Diabetes after Liver Transplant
Both patient's historical data and observations at the current visit are informative in predicting whether the patient will develop diabetes within the following year.
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