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12/18/2022
Estimating the Adversarial Robustness of Attributions in Text with Transformers
Explanations are crucial parts of deep neural network (DNN) classifiers....
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06/07/2022
Fooling Explanations in Text Classifiers
State-of-the-art text classification models are becoming increasingly re...
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10/28/2021
On the explainability of hospitalization prediction on a large COVID-19 patient dataset
We develop various AI models to predict hospitalization on a large (over...
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11/09/2020
Artificial Intelligence Decision Support for Medical Triage
Applying state-of-the-art machine learning and natural language processi...
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10/14/2020
FAR: A General Framework for Attributional Robustness
Attribution maps have gained popularity as tools for explaining neural n...
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09/28/2018
