Publications

Computer Science

CORPEX : Analyse exploratoire d'un corpus biomédical à l'aide de la classification croisée

Nous proposons une interface d'aide à l'analyse de corpus via la visualisation interactive de coclusters afin d'accompagner l'exploration des thématiques pour un ensemble de textes. Les saisies de l'utilisateur permettent la création ou le…

Amine Ferdjaoui, Amira Tlati, Séverine Affeldt, Mohamed Nadif

23ème conférence francophone sur l'extraction et la gestion des connaissances - 2024

Computer Science

WordGraph: A Python Package for Reconstructing Interactive Causal Graphical Models from Text Data

We present WordGraph, a Python package for exploring the topics of documents corpora. WordGraph provides causal graphical models from text data vocabulary and proposes interactive visualizations of terms networks. Our ease-to-use package is provided…

Amine Ferdjaoui, Séverine Affeldt, Mohamed Nadif

WSDM '24: The 17th ACM International Conference on Web Search and Data Mining - 2024

Life Sciences

Unravelling Robust Brain-Behavior Links of Depressive Symptoms Through Granular Network Models: Understanding Heterogeneity and Clinical Implications

Abstract Background Depressive symptoms are highly prevalent, present in heterogeneous symptom patterns, and share diverse neurobiological underpinnings. Understanding the links between psychopathological symptoms and biological factors is critical…

René Freichel, Agatha Lenartowicz, Linda Douw, Johann Kruschwitz, Tobias Banaschewski, Gareth Barker, Arun Bokde, 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, Tomáš Paus, Luise Poustka, Nathalie Holz, Christian Baeuchl, Michael Smolka, Nilakshi Vaidya, Robert Whelan, Vincent Frouin, Gunter Schumann, Henrik Walter, Tessa Blanken, Arun L.W. Bokde

Life Sciences

Human cortex development is shaped by molecular and cellular brain systems

Abstract Human brain morphology undergoes complex changes over the lifespan. Despite recent progress in tracking brain development via normative models, current knowledge of underlying biological mechanisms is highly limited. We demonstrate that…

Leon Lotter, Amin Saberi, Justine Hansen, Bratislav Misic, Casey Paquola, Gareth Barker, Arun Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère, Eric Artiges, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Sarah Hohmann, Juliane Fröhner, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Frauke Nees, Tobias Banaschewski, Simon Eickhoff, Juergen Dukart

Machine Learning

Boosting Subspace Co-Clustering via Bilateral Graph Convolution

Subspace clustering seeks to cluster high-dimensional data lying in a union of low-dimensional subspaces. It has achieved state-of-the-art results in image clustering, but text clustering of document-term matrices, has proved more impervious to…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

IEEE Transactions on Knowledge and Data Engineering - 2024

Machine Learning

More Discriminative Sentence Embeddings via Semantic Graph Smoothing

This paper explores an empirical approach to learn more discriminantive sentence representations in an unsupervised fashion. Leveraging semantic graph smoothing, we enhance sentence embeddings obtained from pretrained models to improve results for…

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

18th Conference of the European Chapter of the Association for Computational Linguistics - 2024

Cognitive science

The bidirectional effects between cognitive ability and brain morphology: A life course Mendelian randomization analysis

Abstract Introduction Little is understood about the dynamic interplay between brain morphology and cognitive ability across the life course. Additionally, most existing research has focused on global morphology measures such as estimated total…

Roxanna Korologou-Linden, Isabel Schuurmans, Charlotte Cecil, Tonya White, Tobias Banaschewski, Arun Bokde, Sylvane Desrivières, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Nathalie Holz, Juliane Fröhner, M Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Gunter Schumann, Laura Howe, Yoav Ben-Shlomo, Neil Davies, Emma Anderson

Life Sciences

Structural neurodevelopment at the individual level - a life-course investigation using ABCD, IMAGEN and UK Biobank data

Abstract Adolescents exhibit remarkable heterogeneity in the structural architecture of brain development. However, due to the lack of large-scale longitudinal neuroimaging studies, existing research has largely focused on population averages and…

Runye Shi, Shitong Xiang, Tianye Jia, Trevor Robbins, Jujiao Kang, Tobias Banaschewski, Gareth Barker, 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, Tomáš Paus, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane Fröhner, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Xiaolei Lin, Barbara Sahakian, Jianfeng Feng, Arun L.W. Bokde

Life Sciences

The relationship between negative life events and cortical structural connectivity in adolescents

Adolescence is a crucial period for physical and psychological development. The impact of negative life events represents a risk factor for the onset of neuropsychiatric disorders. This study aims to investigate the relationship between negative…

Francesca Sibilia, Coline Jost-Mousseau, Tobias Banaschewski, Gareth Barker, Christian Büchel, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Bernd Ittermann, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Sabina Millenet, Juliane Fröhner, Michael Smolka, Henrik Walter, Robert Whelan, Gunter Schumann, Arun L.W. Bokde

IBRO Neuroscience Reports - 2024

Life Sciences

Machine learning models for diagnosis and risk prediction in eating disorders, depression, and alcohol use disorder

Abstract This study uses machine learning models to uncover diagnostic and risk prediction markers for eating disorders (EDs), major depressive disorder (MDD), and alcohol use disorder (AUD). Utilizing case-control samples (ages 18-25 years) and a…

Sylvane Desrivières, Zuo Zhang, Lauren Robinson, Robert Whelan, Lee Jollans, Zijian Wang, Frauke Nees, Congying Chu, Marina Bobou, Dongping Du, Ilinca Cristea, Tobias Banaschewski, Gareth Barker, Arun Bokde, Antoine Grigis, Hugh Garavan, Andreas Heinz, Rudiger Bruhl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Dimitri Papadopoulos Orfanos, Luise Poustka, Sarah Hohmann, Sabina Millenet, Juliane Fröhner, Michael Smolka, Nilakshi Vaidya, Henrik Walter, Jeanne Winterer, M. Broulidakis, Betteke van Noort, Argyris Stringaris, Jani Penttilä, Yvonne Grimmer, Corinna Insensee, Andreas Becker, Yuning Zhang, Sinead King, Julia Sinclair, Gunter Schumann, Ulrike Schmidt, Dimitri Papadopoulos Orfanos, Betteke van Noort

Research Square - Preprint - 2024