activity
20192022
most citedDefending with Errors: Approximate Computing for Robustness of Deep Neural Networks

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CR20221 cited

Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks

Amira Guesmi, Ihsen Alouani, Khaled N. Khasawneh +4

Machine-learning architectures, such as Convolutional Neural Networks (CNNs) are vulnerable to adversarial attacks: inputs crafted carefully to force the system output to a wrong l…

eess.SP2020

Detection of pure epileptic transitory among gamma oscillatory activities in MEG signals by SVD, embedded on a partial dynamic reconfiguration

Nawel Jmail, Tarek Frikha, Abir Hadriche +1

In this work we used the SVD to reconstruct pure epileptic transitory activities for the definition of the accurate sources responsible of the excessive discharge implied by the tr…

eess.SP2019

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…

eess.SP2019

Source localization of the EEG human brainwaves activities via all the different mother wavelets families for stationary wavelet transform decomposition

Tarek Frikha

The source localization of the human brain activities is an important resource for the recognition of cognitive state, medical disorders and a better understanding of the brain in…