2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CL2020★ 2 cited
Can We Achieve More with Less? Exploring Data Augmentation for Toxic Comment Classification
Chetanya Rastogi, Nikka Mofid, Fang-I Hsiao
This paper tackles one of the greatest limitations in Machine Learning: Data Scarcity. Specifically, we explore whether high accuracy classifiers can be built from small datasets,…
cs.LG2020
Exploring Optimal Control With Observations at a Cost
Rui Aguiar, Nikka Mofid, Hyunji Alex Nam
There has been a current trend in reinforcement learning for healthcare literature, where in order to prepare clinical datasets, researchers will carry forward the last results of…
cs.CV2020★ 1 cited
Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation
Nikka Mofid, Jasmine Bayrooti, Shreya Ravi
According to the World Health Organization, distracted driving is one of the leading cause of motor accidents and deaths in the world. In our study, we tackle the problem of distra…