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Publications

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

Affichage des publications 251 à 260 sur 1260 au total

Machine Learning

Leveraging Graph Neural Networks to Forecast Electricity Consumption

Accurate electricity demand forecasting is essential for several reasons, especially as the integration of renewable energy sources and the transition to a decentralized network paradigm introduce greater complexity and uncertainty. The proposed…

Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude, Argyris Kalogeratos

European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2024 -

Signal and Image processing

A Brief Evaluation of InSAR Phase Denoising and Coherence Estimation with Phi-Net

In this article, we examine the joint InSAR phase denoising and coherence estimation performance of the network known as Phi-Net [Sica et al., IEEE Transactions on Geoscience and Remote Sensing, 2021]. We briefly examine the method, network…

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

Image Processing On Line -

Networking and Internet Architecture

Alvolution - al and digital technologies in the European Union

This document compiles the extended versions of the main contributions presented in the scientific event 'AIvolution', on AI and digital technologies in the EU, organized by MEP Eva-Maria Poptcheva (Renew Europe) and Juan-Antonio Cordero-Fuertes (IP…

Eva Poptcheva, Bram Vanderborght, Miguel Colom, Rūta Binkytė, Oana Balalau, Oana Goga, Hervé Debar, Marceau Coupechoux, Juan Herrera

Juan-Antonio Cordero-Fuertes -

Life Sciences

Method to Quickly Map Multifocal Pupillary Response Fields (mPRF) Using Frequency Tagging

We present a method for mapping multifocal Pupillary Response Fields in a short amount of time using a visual stimulus covering 40° of the visual angle divided into nine contiguous sectors simultaneously modulated in luminance at specific,…

Jean Lorenceau, Suzon Ajasse, Raphael Barbet, Muriel Boucart, Frédéric Chavane, Cédric Lamirel, Richard Legras, Frédéric Matonti, Maxence Rateaux, Jean-Francois Rouland, José-Alain Sahel, Laure Trinquet, Mark Wexler, Catherine Vignal-Clermont

Vision -

Neurons and Cognition

Automatic rating of incomplete hippocampal inversions evaluated across multiple cohorts

Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% of the general population. IHI can be visually assessed on coronal slices of T1 weighted MR…

Lisa Hemforth, Baptiste Couvy-Duchesne, Kevin de Matos, Camille Brianceau, Matthieu Joulot, Tobias Banaschewski, Arun L W Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Dimitri Papadopoulos, Herve Lemaitre, Tomas Paus, Luise Poustka, Sarah Hohman, Nathalie Holz, Juliane H. Fröhner, Michael N Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Christian Büchel, Jean-Baptiste Poline, Bernd Itterman, Vincent Frouin, Alexandre Martin, Claire Cury, Olivier Colliot

Journal of Machine Learning for Biomedical Imaging -

Probability

LIPO+: Frugal Global Optimization for Lipschitz Functions

In this paper, we propose simple yet effective empirical improvements to the algorithms of the LIPO family, introduced in [Malherbe2017], that we call LIPO+ and AdaLIPO+. We compare our methods to the vanilla versions of the algorithms over standard…

Gaëtan Serré, Perceval Beja-Battais, Sophia Chirrane, Argyris Kalogeratos, Nicolas Vayatis

SETN '24: Proceedings of the 13th Hellenic Conference on Artificial Intelligence -