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Found 3 papers, 1 papers with code
Can We Achieve More with Less? Exploring Data Augmentation for Toxic Comment Classification
This paper tackles one of the greatest limitations in Machine Learning: Data Scarcity.
Exploring Optimal Control With Observations at a Cost
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 the non-administered test known as the last-observation-carried-forward (LOCF) value to fill in gaps, assuming that it is still an accurate indicator of the patient's current state.
Keep Your AI-es on the Road: Tackling Distracted Driver Detection with Convolutional Neural Networks and Targeted Data Augmentation
According to the World Health Organization, distracted driving is one of the leading cause of motor accidents and deaths in the world.
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