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Publications

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

Affichage des publications 541 à 550 sur 1122 au total

Life Sciences

Anxiety onset in adolescents: a machine-learning prediction

Abstract Recent longitudinal studies in youth have reported MRI correlates of prospective anxiety symptoms during adolescence, a vulnerable period for the onset of anxiety disorders. However, their predictive value has not been established…

Alice Chavanne, Marie Laure Paillère Martinot, Jani Penttilä, Yvonne Grimmer, Patricia Conrod, Argyris Stringaris, Betteke van Noort, Corinna Isensee, Andreas Becker, Tobias Banaschewski, Arun Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane Fröhner, Michael Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Jean-Luc Martinot, Eric Artiges, Semiha Aydin, Christine Bach, Alexis Barbot, Gareth Barker, Nadège Bordas, Zuleima Bricaud, Uli Bromberg, Ruediger Bruehl, Christian Büchel, Anna Cattrell, Tahmine Fadai, Irina Filippi, Vincent Frouin, André Galinowski, Jürgen Gallinat, Fanny Gollier Briand, Chantal Gourlan, Stella Guldner, Bernd Ittermann, Tianye Jia, Hervé Lemaitre, Jessica Massicotte, Ruben Miranda, Kathrin Müller, Charlotte Nymberg, Zdenka Pausova, Jean-Baptiste Poline, Jan Reuter, John Rogers, Barbara Ruggeri, Anna Sarvasmaa, Christine Schmäl, Maren Struve, Wolfgang Sommer, Hélène Vulser

Molecular Psychiatry -

Life Sciences

Correction: Arc controls alcohol cue relapse by a central amygdala mechanism

Roberto Pagano, Ahmad Salamian, Janusz Zielinski, Anna Beroun, Maria Nalberczak-Skóra, Edyta Skonieczna, Anna Cały, Nicole Tay, Tobias Banaschewski, Sylvane Desrivières, 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, Juliane Fröhner, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Katarzyna Kalita, Haruhiko Bito, Christian Müller, Gunter Schumann, Hiroyuki Okuno, Kasia Radwanska

Molecular Psychiatry -

Machine Learning

Efficient and Effective Optimal Transport-Based Biclustering

Bipartite graphs can be used to model a wide variety of dyadic information such as user-rating, document-term, and gene-disorder pairs. Biclustering is an extension of clustering to the underlying bipartite graph induced from this kind of data. In…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

Advances in Neural Information Processing Systems -

Life Sciences

Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains

With the growth of decentralized/federated analysis approaches in neuroimaging, the opportunities to study brain disorders using data from multiple sites has grown multi-fold. One such initiative is the Neuromark, a fully automated spatially…

Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, Amit Chakrabarti, Debasish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam Singh, Kartik Kalyanram, Kamakshi Kartik, Kumaran Kalyanaraman, Krishnaveni Ghattu, Rebecca Kuriyan, Sunita Simon Kurpad, Gareth Barker, Rose Dawn Bharath, Sylvane Desrivieres, Meera Purushottam, Dimitri Papadopoulos Orfanos, Eesha Sharma, Matthew Hickman, Mireille Toledano, Nilakshi Vaidya, Tobias Banaschewski, Arun Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillére Martinot, Eric Artiges, Frauke Nees, Tomás Paus, Luise Poustka, Juliane Fröhner, Lauren Robinson, Michael Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Jessica Turner, Anand Sarwate, Sergey Plis, Vivek Benegal, Gunter Schumann, Vince Calhoun

Neuroinformatics -

Life Sciences

Cortical profiles of numerous psychiatric disorders and normal development share a common pattern

The neurobiological bases of the association between development and psychopathology remain poorly understood. Here, we identify a shared spatial pattern of cortical thickness (CT) in normative development and several psychiatric and neurological…

Zhipeng Cao, Renata Cupertino, Jonatan Ottino-Gonzalez, Alistair Murphy, Devarshi Pancholi, Anthony Juliano, Bader Chaarani, Matthew Albaugh, Dekang Yuan, Nathan Schwab, James Stafford, Anna Goudriaan, Kent Hutchison, Chiang-Shan Li, Maartje Luijten, Martine Groefsema, Reza Momenan, Lianne Schmaal, Rajita Sinha, Ruth van Holst, Dick Veltman, Reinout Wiers, Bernice Porjesz, Tristram Lett, Tobias Banaschewski, Arun Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane Fröhner, Lauren Robinson, Michael Smolka, Henrik Walter, Jeanne Winterer, Gunter Schumann, Robert Whelan, Ravi Bhatt, Alyssa Zhu, Patricia Conrod, Neda Jahanshad, Paul Thompson, Scott Mackey, Hugh Garavan

Molecular Psychiatry -

Machine Learning

CAEclust: A Consensus of Autoencoders Representations for Clustering

The CAEclust Python package implements an original deep spectral clustering in an ensemble framework. Recently, strategies combining classical clustering approaches and deep autoencoders have been proposed, but their effectiveness is impeded by deep…

Séverine Affeldt, Lazhar Labiod, Mohamed Nadif

Image Processing On Line -

Machine Learning

Subspace Co-clustering with Two-Way Graph Convolution

Subspace clustering aims to cluster high dimensional data lying in a union of low-dimensional subspaces. It has shown good results on the task of image clustering but text clustering, using documentterm matrices, proved more impervious to advances…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

CIKM '22: The 31st ACM International Conference on Information and Knowledge Management -

Computer Science

An effective strategy for churn prediction and customer profiling

Customer churn prediction and profiling are two major economic concerns for many companies. Different learning approaches have been proposed, however the a priori choice of the most suitable model to perform both tasks remains non-trivial as it is…

Louis Geiler, Séverine Affeldt, Mohamed Nadif

Data and Knowledge Engineering -