Publications

Machine Learning

High-Definition from Above : Advancing Satellite Imagery Super-Resolution via Self-Supervision

This thesis contributes to the field of Earth Observation (EO) by advancing super-resolution techniques in satellite imagery, tackling both multi-image and single-image challenges. A key focus is overcoming the prevalent issue in remote sensing: the…

Ngoc-Long Nguyen

Life Sciences

Case Report: Zolpidem’s paradoxical restorative action: A case report of functional brain imaging

Zolpidem is a sedative drug that has been shown to induce a paradoxical effect, restoring brain function in wide range of neurological disorders. The underlying functional mechanism of the effect of zolpidem in the brain in clinical improvement is…

Jennifer Boisgontier, Kévin Beccaria, Ana Saitovitch, Thomas Blauwblomme, Lelio Guida, Ludovic Fillon, Christelle Dufour, Jacques Grill, Hervé Lemaitre, Stéphanie Puget, Alice Vinçon-Leite, Volodia Dangouloff-Ros, Sarah Charpy, Sandro Benichi, Raphaël Levy, Charles-Joris Roux, David Grévent, Marie Bourgeois, Lila Saidoun, Raphaël Gaillard, Monica Zilbovicius, Nathalie Boddaert

Frontiers in Neuroscience - 2023

Life Sciences

Tilt perception is different in the pitch and roll planes in human

Neurophysiological tests probing the vestibulo-ocular, colic and spinal pathways are the gold standard to evaluate the vestibular system in clinics. In contrast, vestibular perception is rarely tested despite its potential usefulness in professional…

Dimitri Keriven Serpollet, David Hartnagel, Yannick James, Stéphane Buffat, Nicolas Vayatis, Ioannis Bargiotas, Pierre‐paul Vidal

Physiological Reports - 2023

Life Sciences

Identifying interindividual variability of social perception and associated brain anatomical correlations in children with autism spectrum disorder using eye-tracking and diffusion tensor imaging MRI (DTI-MRI)

Abstract Even though deficits in social cognition constitute a core characteristic of autism spectrum disorders, a large heterogeneity exists regarding individual social performances and its neural basis remains poorly investigated. Here, we used…

Alice Vinçon-Leite, Ana Saitovitch, Herve Lemaître, Elza Rechtman, Jennifer Boisgontier, Ludovic Fillon, Anne Philippe, Marlène Rio, Isabelle Desguerre, Aurélie Fabre, Khawla Aljabali, Nathalie Boddaert, Monica Zilbovicius

Cerebral Cortex - 2023

Computer Science

Graph Neural Networks for Anomaly Detection in Internet of Medical Things

Recent advancements in the realm of Graph Neural Networks (GNN) have unveiled compelling new prospects for classifying and detecting anomalies within medical datasets. Within this study, we delve into the efficacy of GNNs by leveraging diverse…

Mickael Mohammed, Osman Salem, Ahmed Mehaoua

2023 IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23) - 2023

Computer Science

Detecting Abnormal Authentication Delays in Identity and Access Management using Machine Learning

Authentication delay is an important metric for measuring the performance and responsiveness of Identity and Access Management (IAM) systems. A sudden increase in authentication delay can indicate several problems, such as performance degradation,…

Jiahui Xiang, Osman Salem, Ahmed Mehaoua

6th International Conference on Machine Learning for Networking (MLN'2023) - 2023

Computer Science

Heart Disease Detection using the Internet of Medical Things

The deployment of Internet of Medical Things (IoMTs) for remote monitoring has grown exponentially as alternative for in-hospital diagnosis. The COVID-19 lockdown and the shortage of human and medical apparatus pushed the detection and diagnostics…

Osman Salem, Ahmed Mehaoua

"2023 IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23) - 2023

Signal and Image processing

A Signal-dependent Video Noise Estimator Via Inter-frame Signal Suppression

We propose a block-based signal-dependent noise estimation method on videos, that leverages inter-frame redundancy to separate noise from signal. Block matching is applied to find block pairs between two consecutive frames with similar signal. Then…

Yanhao Li, Marina Gardella, Quentin Bammey, Tina Nikoukhah, Rafael Grompone von Gioi, Miguel Colom, Jean-Michel Morel

Image Processing On Line - 2023

Computer Science

Using genetic algorithms to detect intrusions for IoT systems

The purpose of this paper is to develop an intrusion detection system for IoT systems using deep learning and the genetic algorithm to optimize (or, more precisely, compress) the model. To meet the security requirements of IoT systems, we aim to…

Riad Ziani, Amel Khamoum, Osman Salem, Ahmed Mehaoua

2023 IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23) - 2023

Computer Science

Machine Learning for IoT Devices Security Reinforcement

As more lightweight objects connect to the Internet, the Internet of Things (IoT) is changing our linked environment. Thus, IoT intrusion detection research must be high-quality to provide solutions. Network intrusion datasets are essential for…

Philippe Ea, Jiahui Xiang, Osman Salem, Ahmed Mehaoua

6th International Conference on Machine Learning for Networking (MLN'2023) - 2023