4 papers
Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning
Thanh-Dung Le, Rita Noumeir, Jerome Rambaud +2
When dealing with clinical text classification on a small dataset recent studies have confirmed that a well-tuned multilayer perceptron outperforms other generative classifiers, in…
Bridging the gap between Human Action Recognition and Online Action Detection
Alban Main de Boissiere, Rita Noumeir
Action recognition, early prediction, and online action detection are complementary disciplines that are often studied independently. Most online action detection networks use a pr…
Infrared and 3D skeleton feature fusion for RGB-D action recognition
Alban Main de Boissiere, Rita Noumeir
A challenge of skeleton-based action recognition is the difficulty to classify actions with similar motions and object-related actions. Visual clues from other streams help in that…
Critical Temperature Prediction for a Superconductor: A Variational Bayesian Neural Network Approach
Thanh Dung Le, Rita Noumeir, Huu Luong Quach +3
Much research in recent years has focused on using empirical machine learning approaches to extract useful insights on the structure-property relationships of superconductor materi…