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Publications

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

Affichage des publications 501 à 510 sur 1122 au total

Mathematics

Pandemic lockdown, isolation, and exit policies based on machine learning predictions

Abstract The widespread lockdowns imposed in many countries at the beginning of the COVID‐19 pandemic elevated the importance of research on pandemic management when medical solutions such as vaccines are unavailable. We present a framework that…

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

Production and Operations Management -

Machine Learning

Structural differences in adolescent brains can predict alcohol misuse

Alcohol misuse during adolescence (AAM) has been associated with disruptive development of adolescent brains. In this longitudinal machine learning (ML) study, we could predict AAM significantly from brain structure (T1-weighted imaging and DTI)…

Roshan Prakash Rane, Evert Ferdinand de Man, Jihoon Kim, Kai Görgen, Mira Tschorn, Michael Rapp, Tobias Banaschewski, Arun Lw Bokde, Sylvane Desrivieres, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillere Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Herve Lemaitre, Tomas Paus, Luise Poustka, Juliane Fröhner, Lauren Robinson, Michael Smolka, Jeanne Winterer, Robert Whelan, Gunter Schumann, Henrik Walter, Andreas Heinz, Kerstin Ritter

eLife -

Santé publique et épidémiologie

Associations of delay discounting and drinking trajectories from ages 14 to 22

Background: While drinking alcohol, one must choose between the immediate rewarding effects and the delayed reward of a healthier lifestyle. Individuals differ in their devaluation of a delayed reward based on the time required to receive it, i.e.,…

Juliane Fröhner, Stephan Ripke, Sarah Jurk, Shu‐chen Li, Tobias Banaschewski, Arun L.W. Bokde, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Andreas Heinz, Rüdiger Brühl, Jean‐luc Martinot, Marie‐laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Henrik Walter, Robert Whelan, Gunter Schumann, Michael Smolka

Alcoholism: Clinical and Experimental Research -

Life Sciences

Brain structural covariance network differences in adults with alcohol dependence and heavy‐drinking adolescents

Abstract Background and aims Graph theoretic analysis of structural covariance networks (SCN) provides an assessment of brain organization that has not yet been applied to alcohol dependence (AD). We estimated whether SCN differences are present in…

Jonatan Ottino-González, Hugh Garavan, Quinlan Burke, Martinot Paillère, Orfanos Papadopoulos, Holst Van

Addiction -

Life Sciences

A causal association of ANKRD37 with human hippocampal volume

Jiayuan Xu, Xianyou Xia, Qiaojun Li, Yan Dou, Xinjun Suo, Zuhao Sun, Nana Liu, Yating Han, Xiaodi Sun, Yukun He, Wen Qin, Shijie Zhang, Tobias Banaschewski, Herta Flor, Antoine Grigis, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Eric Artiges, Frauke Nees, Tomáš Paus, Luise Poustka, Sarah Hohmann, Henrik Walter, Pak Chung Sham, Gunter Schumann, Xudong Wu, Mulin Jun Li, Chunshui Yu, Frauke Nees, Herta Flor, Tomáš Paus, Gunter Schumann

Molecular Psychiatry -

Populations and Evolution

Investigating the contributions of circadian pathway and insomnia risk genes to autism and sleep disturbances

Sleep disturbance is prevalent in youth with Autism Spectrum Disorder (ASD). Researchers have posited that circadian dysfunction may contribute to sleep problems or exacerbate ASD symptomatology. However, there is limited genetic evidence of this…

Rackeb Tesfaye, Guillaume Huguet, Zoe Schmilovich, Thomas Renne, Mor Absa Loum, Elise Douard, Zohra Saci, Martineau Jean-Louis, Jean-Luc MARTINOT, Rob Whelan, Sylvane Desrivieres, Andreas Heinz, Gunter Schumann, Caroline Hayward, Mayada Elsabbagh, Sebastien Jacquemont

Translational Psychiatry -

Life Sciences

Global and Regional Structural Differences and Prediction of Autistic Traits during Adolescence

Background: Autistic traits are commonly viewed as dimensional in nature, and as continuously distributed in the general population. In this respect, the identification of predictive values of markers such as subtle autism-related alterations in…

Frauke Nees, Tobias Banaschewski, Arun Bokde, Sylvane Desrivières, Antoine Grigis, Hugh Garavan, Penny Gowland, Yvonne Grimmer, Andreas Heinz, Rüdiger Brühl, Corinna Isensee, Andreas Becker, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Dimitri Papadopoulos Orfanos, Hervé Lemaître, Argyris Stringaris, Betteke van Noort, Tomáš Paus, Jani Penttilä, Sabina Millenet, Juliane Fröhner, Michael Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Luise Poustka

Brain Sciences -

Machine Learning

From theoretical to practical transfer learning: the ADAPT library

In traditional machine learning, the learner assumes that the training and testing datasets are drawn according to the same distribution. However, in most practical scenarios, the two datasets are drawn according to two different distributions, the…

Antoine de Mathelin, Francois Deheeger, Mathilde Mougeot, Nicolas Vayatis

Roozbeh Razavi-Far -

Signal and Image processing

The SMOS-HR Mission: Science Case and Project Status

The need of a mission ensuring the continuation of L-band measurements from space with increased spatial resolution with respect to the current generation of sensors is discussed. The status of the SMOS-High Resolution (HR) mission project,…

N.J. Rodriguez-Fernandez, E. Anterrieu, Jacqueline Boutin, Alexandre Supply, Gilles Reverdin, G. Alory, E. Remy, Ghislain Picard, T. Pellarin, P. Richaume, A. Mialon, A. Khazaal, A. Al Bitar, R. Rodriguez-Suquet, L. Yu, P. Gonzalez, C. Cheymol, T. Amiot, P. Maisongrande, N. Jeannin, T. Decoopman, A. Kallel, J.-M. Morel, M. Colom, M. Dunitz, Clovis Thouvenin-Masson, Léa Olivier, Yann H. Kerr

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