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Publications

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

Affichage des publications 741 à 750 sur 1523 au total

Life Sciences

Conduct problems are associated with accelerated thinning of emotion-related cortical regions in a community-based sample of adolescents

Few studies have examined the association between conduct problems and cerebral cortical development. Herein, we characterize the association between age-related brain change and conduct problems in a large longitudinal, community-based sample of…

Matthew Albaugh, James Hudziak, Philip Spechler, Bader Chaarani, Claude Lepage, Seun Jeon, Pierre Rioux, Alan Evans, Tobias Banaschewski, Arun Bokde, Sylvane Desrivières, Herta Flor, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sabina Millenet, Juliane Fröhner, Michael Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Alexandra Potter, Hugh Garavan, James. Hudziak, Arun L.W. Bokde

Psychiatry Research: Neuroimaging -

Life Sciences

Uncontrolled eating and sensation-seeking partially explain the prediction of future binge drinking from adolescent brain structure

Binge drinking behavior in early adulthood can be predicted from brain structure during early adolescence with an accuracy of above 70%. We investigated whether this accurate prospective prediction of alcohol misuse behavior can be explained by…

Roshan Prakash Rane, Milena Philomena Maria Musial, Anne Beck, Michael Rapp, Florian Schlagenhauf, Tobias Banaschewski, Arun Bokde, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Herve Lemaitre, Sarah Hohmann, Gunter Schumann, Henrik Walter, Andreas Heinz, Kerstin Ritter

Neuroimage-Clinical -

Computer Science

Data Clustering and Representation Learning Based on Networked Data

Abstract To deal simultaneously with both, the attributed network embedding and clustering, we propose a new model exploiting both content and structure information. The proposed model relies on the approximation of the relaxed continuous embedding…

Lazhar Labiod, Mohamed Nadif

The 17th conference of the International Federation of Classification Societies , 2022 -

Neuroscience

Tilt perception is different in the pitch and roll planes in human

Neurophysiological tests probing the vestibulo-ocular, colic and spinal pathways are the gold standard to evaluate the vestibular system in clinics. In contrast, vestibular perception is rarely tested despite its potential usefulness in professional…

Dimitri Keriven Serpollet, David Hartnagel, Yannick James, Stéphane Buffat, Nicolas Vayatis, Ioannis Bargiotas, Pierre‐paul Vidal

Physiological Reports -

Computer Science

Towards a Bi-Stochastic Matrix Approximation of k-means and Some Variants

Abstract The k -means algorithm and some k -means variants have been shown to be useful and effective to tackle the clustering problem. In this paper we embed k -means variants in a bi-stochastic matrix approximation (BMA) framework. Then we derive…

Lazhar Labiod, Mohamed Nadif

The 17th conference of the International Federation of Classification Societies, IFCS 2022 -

Computer Science

Latent Block Regression Model

Abstract When dealing with high dimensional sparse data, such as in recommender systems,co-clustering turns out to be more beneficial than one-sided clustering, even if one is interested in clustering along one dimension only. Thereby, co…

Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif

The 17th conference of the International Federation of Classification Societies -

Machine Learning

A framework for paired-sample hypothesis testing for high-dimensional data

The standard paired-sample testing approach in the multidimensional setting applies multiple univariate tests on the individual features, followed by p-value adjustments. Such an approach suffers when the data carry numerous features. A number of…

Ioannis Bargiotas, Argyris Kalogeratos, Nicolas Vayatis

2023 IEEE 35th International Conference on Tools with Artificial Intelligence (ICTAI) -