3.4k citations · 5.9k across the 11 of their papers we have counts for
Showing 2018 · cs.CVShow all
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cs.CV2018★ 73 cited
Data augmentation using synthetic data for time series classification with deep residual networks
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
Data augmentation in deep neural networks is the process of generating artificial data in order to reduce the variance of the classifier with the goal to reduce the number of error…
cs.CV2018★ 121 cited
Evaluating surgical skills from kinematic data using convolutional neural networks
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber +2
The need for automatic surgical skills assessment is increasing, especially because manual feedback from senior surgeons observing junior surgeons is prone to subjectivity and time…