33 citations · 48 across the 6 of their papers we have counts for
6 papers
Evaluation of techniques for predicting seizure Build up
Amira Hajjeji, Nawel Jmail, Abir Hadriche +2
The analysis of electrophysiological signal of scalp: EEG (electroencephalography), MEG (magnetoencephalography) and depth (intracerebral EEG) IEEG is a way to delimit epileptogeni…
Integration of stationary wavelet transform on a dynamic partial reconfiguration: case study separating preictal gamma oscillations from transitory activities for early build up epileptic seizure
Ridha Jarray, Nawel Jmail, Abir Hadriche +2
To define the neural networks responsible of the epileptic seizure, we had to study the electrophysiological signal in a proper way. The early recognition of the seizure build up c…
Deep learning for semantic segmentation of remote sensing images with rich spectral content
A Hamida, A. Benoît, P. Lambert +4
With the rapid development of Remote Sensing acquisition techniques, there is a need to scale and improve processing tools to cope with the observed increase of both data volume an…
Deep Learning for Saliency Prediction in Natural Video
Souad Chaabouni, Jenny Benois-Pineau, Ofer Hadar +1
The purpose of this paper is the detection of salient areas in natural video by using the new deep learning techniques. Salient patches in video frames are predicted first. Then th…
A new scheme of signature extraction for iris authentication
Belhassen Akrout, Imen Khanfir Kallel, Chokri Ben Amar
Iris recognition, a relatively new biometric technology, has great advantages, such as variability, stability and security, thus is the most promising for high security environment…
Multi-input Multi-output Beta Wavelet Network: Modeling of Acoustic Units for Speech Recognition
Ridha Ejbali, Mourad Zaied, Chokri Ben Amar
In this paper, we propose a novel architecture of wavelet network called Multi-input Multi-output Wavelet Network MIMOWN as a generalization of the old architecture of wavelet netw…