Cause-and-Effect Analysis of ADAS: A Comparison Study between Literature Review and Complaint Data

no code implementations • 30 Jul 2022 • Jackie Ayoub, Zifei Wang, Meitang Li, Huizhong Guo, Rini Sherony, Shan Bao, Feng Zhou

Advanced driver assistance systems (ADAS) are designed to improve vehicle safety.

Predicting Driver Takeover Time in Conditionally Automated Driving

no code implementations • 20 Jul 2021 • Jackie Ayoub, Na Du, X. Jessie Yang, Feng Zhou

Their main effects and interaction effects on takeover time were examined.

Combat COVID-19 Infodemic Using Explainable Natural Language Processing Models

no code implementations • 1 Mar 2021 • Jackie Ayoub, X. Jessie Yang, Feng Zhou

By augmenting the data using back-translation, we doubled the sample size of the dataset and the DistilBERT model was able to obtain good performance (accuracy: 0. 972; areas under the curve: 0. 993) in detecting misinformation about COVID-19.

Fact Checking Fake News Detection +1