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pro vyhledávání: '"Mofid, Nikka"'
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, utilizing a combination of data augmentation techniques and machine le
Externí odkaz:
http://arxiv.org/abs/2007.00875
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-forwar
Externí odkaz:
http://arxiv.org/abs/2006.15757
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 distracted driving by aiming to build a robust multi-class classifier to det
Externí odkaz:
http://arxiv.org/abs/2006.10955
Akademický článek
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