Publications

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

Analysis of PDEs

Refined Rellich boundary inequalities for the derivatives of a harmonic function

The classical Rellich inequalities imply that the L 2-norms of the normal and tangential derivatives of a harmonic function are equivalent. In this note, we prove several refined inequalities, which make sense even if the domain is not Lipschitz…

Siddhant Agrawal, Thomas Alazard

Proceedings of the American Mathematical Society - 2023

Machine Learning

Preventing falls: the use of machine learning for the prediction of future falls in individuals without history of fall

Nowadays, it becomes of paramount societal importance to support many frail-prone groups in our society (elderly, patients with neurodegenerative diseases, etc.) to remain socially and physically active, maintain their quality of life, and avoid…

Ioannis Bargiotas, Danping Wang, Juan Mantilla, Flavien Quijoux, Albane Moreau, Catherine Vidal, Remi Barrois, Alice Nicolai, Julien Audiffren, Christophe Labourdette, François Bertin-Hugaul, Laurent Oudre, Stephane Buffat, Alain Yelnik, Damien Ricard, Nicolas Vayatis, Pierre-Paul Vidal

Journal of Neurology - 2023

Signal and Image processing

Video joint denoising and demosaicing with recurrent CNNs

Denoising and demosaicing are two critical components of the image/video processing pipeline. While historically these two tasks have mainly been considered separately, current neural network approaches allow to obtain state of-the-art results by…

Valéry Dewil, Adrien Courtois, Mariano Rodríguez, Thibaud Ehret, Nicola Brandonisio, Denis Bujoreanu, Gabriele Facciolo, Pablo Arias

Winter Conference on Applications of Computer Vision (WACV) - 2023