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Found 4 papers, 0 papers with code
When does text prediction benefit from additional context? An exploration of contextual signals for chat and email messages
We compare contextual text prediction in chat and email messages from two of the largest commercial platforms Microsoft Teams and Outlook, finding that contextual signals contribute to performance differently between these scenarios.
Learning behavioral context recognition with multi-stream temporal convolutional networks
In this paper, we propose a multi-stream temporal convolutional network to address the problem of multi-label behavioral context recognition.
Towards radiologist-level cancer risk assessment in CT lung screening using deep learning
Importance: Lung cancer is the leading cause of cancer mortality in the US, responsible for more deaths than breast, prostate, colon and pancreas cancer combined and it has been recently demonstrated that low-dose computed tomography (CT) screening of the chest can significantly reduce this death rate.
Personalized Driver Stress Detection with Multi-task Neural Networks using Physiological Signals
Stress can be seen as a physiological response to everyday emotional, mental and physical challenges.
