Publications

Biomechanics

Systematic review of candidate prognostic factors for falling in older adults identified from motion analysis of challenging walking tasks

The objective of this systematic review is to identify motion analysis parameters measured during challenging walking tasks which can predict fall risk in the older population. Numerous studies have attempted to predict fall risk from the motion…

Rosemary Dubbeldam, Yu Yuan Lee, Juliana Pennone, Luis Mochizuki, Charlotte Le Mouel

European Review of Aging and Physical Activity - 2023

Humanities and Social Sciences

Telepsychology in Europe since COVID-19: How to Foster Social Telepresence?

All over the world, measures were taken to prevent the spread of COVID-19. Social distancing not only had a strong influence on mental health, but also on the organization of care systems. It changed existing practices, as we had to rapidly move…

Lise Haddouk, Carine Milcent, Benoît Schneider, Tom van Daele, Nele de Witte

Journal of Clinical Medicine - 2023

Human health and pathology

Dual-task versus single-task gait rehabilitation after stroke: the protocol of the cognitive-motor synergy multicenter, randomized, controlled superiority trial (SYNCOMOT)

Background Gait disorders and cognitive impairments are prime causes of disability and institutionalization after stroke. We hypothesized that relative to single-task gait rehabilitation (ST GR), cognitive-motor dual-task (DT) GR initiated at the…

Sophie Tasseel-Ponche, Martine Roussel, Monica Toba, Thibaud Sader, Vincent Barbier, Arnaud Delafontaine, Jonathan Meynier, Carl Picard, Jean-Marc Constans, Alexis Schnitzler, Olivier Godefroy, Alain Pierre Yelnik

Trials - 2023

Mathematics

Transfer Learning with Attributes for Improving the Landslide Spatial Prediction Performance in Sample-Scarce Area Based on Variational Autoencoder Generative Adversarial Network

Owing to the complexity of obtaining the landslide inventory data, it is a challenge to establish a landslide spatial prediction model with limited labeled samples. This paper proposed a novel strategy, namely transfer learning with attributes (TLAs…

Mansheng Lin, Shuai Teng, Gongfa Chen, David Bassir

Land - 2023

Statistics

An Inversion Algorithm for the Dynamic Modulus of Concrete Pavement Structures Based on a Convolutional Neural Network

Based on the spectral element method (SEM) and a convolutional neural network (CNN), an inversion algorithm for the dynamic modulus of concrete pavement structures is proposed in this paper. In order to evaluate the service performance of pavement…

Gongfa Chen, Xuedi Chen, Linqing Yang, Zejun Han, David Bassir

Applied Sciences - 2023

Life Sciences

Site-Specific Phosphorylation of RTK KIT Kinase Insert Domain: Interactome Landscape Perspectives

The kinase insert domain (KID) of RTK KIT is a key recruitment region for downstream signalling proteins (DSPs). KID, as a multisite phosphorylation region, provides alternative recognition sites for DSPs and activates them by binding a…

Julie Ledoux, Luba Tchertanov

Kinases and Phosphatases - 2023

Document and Text Processing

Etude approfondie des représentations de données textuelles dans l'apprentissage non supervisé

Dense text representations are gaining great interest in several supervised tasks but much less is known about how suitable they are when dealing with an unlabeled dataset. In this paper, we investigate the use of such representations in…

Mira Ait-Saada, Mohamed Nadif

23ème Conférence francophone sur l'Extraction et la Gestion des Connaissances (EGC'2023) - 2023

Computer Science

Biclustering Basé sur le Transport Optimal

Les graphes bipartis peuvent être utilisés pour modéliser une grande variété d’informations dyadiques telles que les paires utilisateur-score, document-terme et gène-conditions expérimentales. Le biclustering est une extension du clustering au…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

23ème Conférence francophone sur l'Extraction et la Gestion des Connaissances (EGC'2023) - 2023

Computer Science

Subspace Co-clustering avec Convolution Bilatérale sur Graphe

Le subspace clustering vise à partitionner un ensemble d’observations de haute dimension. Si cette approche a donné de bons résultats dans le domaine du partitionnement d’images, elle s’est avérée inefficace pour le partitionnement de données…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

Conférence Extraction et Gestion des Connaissances (EGC 2023) - 2023

Law

IA et données de santé : regards croisés sur les droits, devoirs et responsabilités des personnes publiques

Thomas Guyet, Pierre Saurel, Hélène Muscat, Christine Paillard, Tristan Allard, Nolwenn Le Meur, Danièle Bourcier, Emmanuel Oger, André Happe

Enjeux scientifiques et sociaux de l’IA - 2023