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Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 631 à 640 sur 1122 au total

Psychiatrics and mental health

Online consultations in mental healthcare: Modelling determinants of use and experience based on an international survey study at the onset of the pandemic

Tom van Daele, Kim Mathiasen, Per Carlbring, Sylvie Bernaerts, Agostino Brugnera, Angelo Compare, Aranzazu Duque, Jonas Eimontas, David Gosar, Lise Haddouk, Maria Karekla, Pia Larsen, Gianluca Lo Coco, Tine Nordgreen, João Salgado, Andreas Schwerdtfeger, Eva van Assche, Sam Willems, Nele A.J. de Witte

Internet Interventions -

Computer Vision and Pattern Recognition

Interactive Segmentation for Shape From Shading Over HR SAR Images

Shape from shading (SfS) enables 3D reconstruction of stockpiles from a single image. However, this method requires proper boundary conditions to work properly. Obtaining such Dirichlet and Neumann conditions is equivalent to a segmentation of the…

Franco Marchesoni-Acland, Marie d'Autume, Gabriele Facciolo, Carlo de Franchis, Jean-Michel Morel, Enric Meinhardt-Llopis

2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2022) -

Cognitive science

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 -

Signal and Image processing

Phase Unwrapping using a Joint CNN and SQD-LSTM Network

Phase unwrapping techniques are used in various applications, including Synthetic Aperture Radar (SAR) interferometry (InSAR). Deep learning methods have been recently proposed to tackle this problem. This work aims at explaining and evaluating the…

Roland Akiki, Carlo de Franchis, Gabriele Facciolo, Jean-Michel Morel, Raphaël Grandin

Image Processing On Line -

Literature

Lost Manuscripts and Extinct Texts : A Dynamic Model of Cultural Transmission

How did written works evolve, disappear or survive down through the ages? In this paper, we propose a unified, formal framework for two fundamental questions in the study of the transmission of texts: how much was lost or preserved from all works of…

Jean-Baptiste Camps, Julien Randon-Furling

CHR 2022: Computational Humanities Research Conference -

Business administration

A survey on machine learning methods for churn prediction

The diversity and specificities of today's businesses have leveraged a wide range of prediction techniques. In particular, churn prediction is a major economic concern for many companies. The purpose of this study is to draw general guidelines from…

Louis Geiler, Séverine Affeldt, Mohamed Nadif

International Journal of Data Science and Analytics -