Publications

Machine Learning

TensorClus: A python library for tensor (Co)-clustering

Tensor data analysis is the evolutionary step of data analysis to more than two dimensions. Dealing with tensor data is often based on tensor decomposition methods. The present paper focuses on unsupervised learning and provides a python package…

Rafika Boutalbi, Lazhar Labiod, Mohamed Nadif

Neurocomputing - 2022

Life Sciences

The role of irinotecan-bevacizumab as rescue regimen in children with low-grade gliomas: a retrospective nationwide study in 72 patients

Introduction : At least half of children with low-grade glioma (LGG) treated with first line chemotherapy experience a relapse/progression and may therefore need a second-line chemotherapy. Irinotecan-bevacizumab has been recommended in this setting…

Charles de Marcellus, Arnault Tauziède-Espariat, Aurélie Cuinet, Claudia Pasqualini, Matthieu Robert, Kevin Beccaria, Stéphanie Puget, Nathalie Boddaert, Dominique Figarella-Branger, Emilie de Carli, Franck Bourdeaut, Pierre Leblond, Fanny Fouyssac, Nicolas Andre, Anne Bertozzi, Thibaut Butel, Christelle Dufour, Dominique Valteau-Couanet, Pascale Varlet, Jacques Grill

Journal of Neuro-Oncology - 2022

Computer Science

Efficient Graph Convolution for Joint Node Representation Learning and Clustering

Chakib Fettal, Lazhar Labiod, Mohamed Nadif

WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining - 2022

Signal and Image processing

Non-smooth interpolation of graph signals

We consider the problem of signal interpolation on graphs, i.e. recovering one or multiple graph signal values from incomplete measurements. We propose a review of the graph signal interpolation methods, which enlightens the restrictive underlying…

Antoine Mazarguil, Laurent Oudre, Nicolas Vayatis

Signal Processing - 2022

Optimization and Control

Improving NMF clustering by leveraging contextual relationships among words

Non-negative Matrix Factorization (NMF) and its variants have been successfully used for clustering text documents. However, NMF approaches like other models do not explicitly account for the contextual dependencies between words. To remedy this…

Mickael Febrissy, Aghiles Salah, Melissa Ailem, Mohamed Nadif

Neurocomputing - 2022

Human health and pathology

Predicting Depression Onset in Young People Based on Clinical, Cognitive, Environmental, and Neurobiological Data

Background: Adolescent onset of depression is associated with long-lasting negative consequences. Identifying adolescents at risk for developing depression would enable the monitoring of risk factors and the development of early intervention…

Yara Toenders, Akhil Kottaram, Richard Dinga, Christopher Davey, Tobias Banaschewski, Arun L.W. Bokde, Erin Burke Quinlan, Sylvane Desrivières, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Herve Lemaitre, Tomáš Paus, Luise Poustka, Sarah Hohmann, Juliane Fröhner, Michael Smolka, Henrik Walter, Robert Whelan, Argyris Stringaris, Betteke van Noort, Jani Penttilä, Yvonne Grimmer, Corinna Insensee, Andreas Becker, Gunter Schumann, Lianne Schmaal

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging - 2022

Bioengineering

A topological data analysis-based method for gait signals with an application to the study of multiple sclerosis

In the past few years, light, affordable wearable inertial measurement units have been providing to clinicians and researchers the possibility to quantitatively study motor degeneracy by comparing gait trials from patients and/or healthy subjects…

Alexandre Bois, Brian Tervil, Albane Moreau, Aliénor Vienne-Jumeau, Damien Ricard, Laurent Oudre

PLoS ONE - 2022

Machine Learning

Semi-supervised Latent Block Model with pairwise constraints

Co-clustering aims at simultaneously partitioning both dimensions of a data matrix. It has demonstrated better performances than one-sided clustering for high-dimensional data. The Latent Block Model (LBM) is a probabilistic model for co-clustering…

Paul Riverain, Simon Fossier, Mohamed Nadif

Machine Learning - 2022

Machine Learning

Poisson degree corrected dynamic stochastic block model

Stochastic Block Model (SBM) provides a statistical tool for modeling and clustering network data. In this paper, we propose an extension of this model for discrete-time dynamic networks that takes into account the variability in node degrees,…

Paul Riverain, Simon Fossier, Mohamed Nadif

Advances in Data Analysis and Classification - 2022

Life Sciences

Neurological side effects of radiation therapy

Radiation therapy (RT) is one of the main treatments administered to patients with cancer. The development of technology has improved RT accuracy by allowing more precise delivery of high doses to the target volumes with reduced exposure of healthy…

J. Jacob, L. Feuvret, J.-M. Simon, M. Ribeiro, L. Nichelli, C. Jenny, D. Ricard, D. Psimaras, K. Hoang-Xuan, P. Maingon

Neurological Sciences - 2022