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Publications

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

Affichage des publications 1421 à 1430 sur 1555 au total

Santé publique et épidémiologie

SEAIR Framework Accounting for a Personalized Risk Prediction Score: Application to the Covid-19 Epidemic

The aim of the present work is to provide an SEAIR framework which takes a personalized risk prediction score as an additional input. Each individual is categorized depending on his actual status with respect to the disease – moderate or severe…

Oliver Boulant, Mathilde Fekom, Camille Pouchol, Theodoros Evgeniou, Anton Ovchinnikov, Raphaël Porcher, Nicolas Vayatis

Image Processing On Line -

Life Sciences

Ethical and social implications of approaching death prediction in humans - when the biology of ageing meets existential issues

Abstract Background The discovery of biomarkers of ageing has led to the development of predictors of impending natural death and has paved the way for personalised estimation of the risk of death in the general population. This study intends to…

Marie Gaille, Marco Araneda, Clément Dubost, Clémence Guillermain, Sarah Kaakai, Elise Ricadat, Nicolas Todd, Michael Rera

BMC Medical Ethics -

Life Sciences

Conséquences éthiques et sociales de biomarqueurs prédictifs de la mort chez l’homme

Fundamental research on ageing has taken an interesting turn in recent years with the rapid development of biomarkers predicting mortality in model organisms, particularly Drosophila, as well as in humans through improvements in approaches to the…

Marie Gaille, Marco Araneda, Clément Dubost, Clémence Guillermain, Sarah Kaakai, Élise Ricadat, Nicolas Todd, Michael Rera

Médecine/Sciences -

Computer Vision and Pattern Recognition

CNN-assisted coverings in the space of tilts: best affine invariant performances with the speed of CNNs

The classic approach to image matching consists in the detection, description and matching of keypoints. In the description, the local information surrounding the keypoint is encoded. This locality enables affine invariant methods. Indeed, smooth…

Mariano Rodríguez, Gabriele Facciolo, Rafael Grompone von Gioi, Pablo Muse, Julie Delon, Jean-Michel Morel

2020 IEEE International Conference on Image Processing (ICIP) -

Materials Science

The Abinit project: impact, environment and recent developments

Abinit is a material- and nanostructure-oriented package that implements density-functional theory (DFT) and many-body perturbation theory (MBPT) to find, from first principles, numerous properties including total energy, electronic structure,…

Xavier Gonze, Bernard Amadon, Gabriel Antonius, Frédéric Arnardi, Lucas Baguet, Jean-Michel Beuken, Jordan Bieder, François Bottin, Johann Bouchet, Eric Bousquet, Nils Brouwer, Fabien Bruneval, Guillaume Brunin, Théo Cavignac, Jean-Baptiste Charraud, Wei Chen, Michel Côté, Stefaan Cottenier, Jules Denier, Grégory Geneste, Philippe Ghosez, Matteo Giantomassi, Yannick Gillet, Olivier Gingras, Donald R Hamann, Geoffroy Hautier, Xu He, Nicole Helbig, Natalie Holzwarth, Yongchao Jia, François Jollet, William Lafargue-Dit-Hauret, Kurt Lejaeghere, Miguel Al Marques, Alexandre Martin, Cyril Martins, Henrique Pc Miranda, Francesco Naccarato, Kristin A Persson, Guido Petretto, Valentin Planes, Yann Pouillon, Sergei Prokhorenko, Fabio Ricci, Gian-Marco Rignanese, Aldo H Romero, Michael Marcus Schmitt, Marc Torrent, Michiel J Van Setten, Benoit Van Troeye, Matthieu J Verstraete, Gilles Zérah, Josef W Zwanziger

Computer Physics Communications -

Computer Science

Taming Nuclear Complexity with a Committee of Multilayer Neural Networks

We demonstrate that a committee of deep neural networks is capable of predicting the ground-state and excited energies of more than 1800 atomic nuclei with an accuracy akin to the one achieved by state-of-the-art nuclear energy density functionals …

Raphaël-David Lasseri, David Regnier, Jean-Paul Ebran, Antonin Penon

Physical Review Letters -