65 citations · 69 across the 3 of their papers we have counts for
3 papers
Learning sparse auto-encoders for green AI image coding
Cyprien Gille, Frédéric Guyard, Marc Antonini +1
Recently, convolutional auto-encoders (CAE) were introduced for image coding. They achieved performance improvements over the state-of-the-art JPEG2000 method. However, these perfo…
Semi-supervised classification using a supervised autoencoder for biomedical applications
Cyprien Gille, Frederic Guyard, Michel Barlaud
In this paper we present a new approach to solve semi-supervised classification tasks for biomedical applications, involving a supervised autoencoder network. We create a network a…
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?
Julien Audibert, Pietro Michiardi, Frédéric Guyard +2
Anomaly detection in time series is a complex task that has been widely studied. In recent years, the ability of unsupervised anomaly detection algorithms has received much attenti…