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Publications

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

Affichage des publications 641 à 650 sur 1426 au total

Life Sciences

Association between vmPFC gray matter volume and smoking initiation in adolescents

Abstract Smoking of cigarettes among young adolescents is a pressing public health issue. However, the neural mechanisms underlying smoking initiation and sustenance during adolescence, especially the potential causal interactions between altered…

Shitong Xiang, Tianye Jia, Chao Xie, Wei Cheng, Bader Chaarani, Tobias Banaschewski, Gareth Barker, Arun Bokde, Christian Büchel, Sylvane Desrivières, Herta Flor, Antoine Grigis, Penny Gowland, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Juliane Fröhner, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Hugh Garavan, Gunter Schumann, Barbara Sahakian, Trevor Robbins, Jianfeng Feng

Nature Communications -

Life Sciences

A biologically informed polygenic score of neuronal plasticity moderates the association between cognitive aptitudes and cortical thickness in adolescents

Although many studies of the adolescent brain identified positive associations between cognitive abilities and cortical thickness, little is known about mechanisms underlying such brain-behavior relationships. With experience-induced plasticity…

Xavier Navarri, Daniel Vosberg, Jean Shin, Louis Richer, Gabriel Leonard, G Bruce Pike, Tobias Banaschewski, Arun Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Juliane Fröhner, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Zdenka Pausova, Tomáš Paus

Developmental Cognitive Neuroscience -

Machine Learning

Simultaneous Linear Multi-view Attributed Graph Representation Learning and Clustering

Over the last few years, various multi-view graph clustering methods have shown promising performances. However, we argue that these methods can have limitations. In particular, they are often unnecessarily complex, leading to scalability problems…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

WSDM '23: The Sixteenth ACM International Conference on Web Search and Data Mining -

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) -