no code implementations • 18 Jun 2022 • Rohit Saha, Mengyi Fang, Angeline Yasodhara, Kyryl Truskovskyi, Azin Asgarian, Daniel Homola, Raahil Shah, Frederik Dieleman, Jack Weatheritt, Thomas Rogers
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.
no code implementations • 30 Sep 2021 • Angeline Yasodhara, Azin Asgarian, Diego Huang, Parinaz Sobhani
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.
no code implementations • 3 Dec 2018 • Angeline Yasodhara, Mamatha Bhat, Anna Goldenberg
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.