35 citations · 169 across the 28 of their papers we have counts for
5 papers · 1 filter
Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement
Matei Moldoveanu, Alain Sirois, Claire Ben Ali +2
We investigate whether a generative model can supply useful synthetic motor-imagery (MI) electroencephalography (EEG) trials that improve the accuracy of independent downstream cla…
Is the U-Net Directional-Relationship Aware?
Mateus Riva, Pietro Gori, Florian Yger +1
CNNs are often assumed to be capable of using contextual information about distinct objects (such as their directional relations) inside their receptive field. However, the nature…
The Minimum Edit Arborescence Problem and Its Use in Compressing Graph Collections [Extended Version]
Lucas Gnecco, Nicolas Boria, Sébastien Bougleux +2
The inference of minimum spanning arborescences within a set of objects is a general problem which translates into numerous application-specific unsupervised learning tasks. We int…
Approximation of dilation-based spatial relations to add structural constraints in neural networks
Mateus Riva, Pietro Gori, Florian Yger +2
Spatial relations between objects in an image have proved useful for structural object recognition. Structural constraints can act as regularization in neural network training, imp…
Challenge IEEE-ISBI/TCB : Application of Covariance matrices and wavelet marginals
Florian Yger
This short memo aims at explaining our approach for the challenge IEEE-ISBI on Bone Texture Characterization. In this work, we focus on the use of covariance matrices and wavelet m…