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Publications

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

Affichage des publications 211 à 220 sur 1520 au total

Machine Learning

A bipartite ranking approach to the two-sample problem

The two-sample problem consists in testing whether two independent samples are drawn from the same (unknown) distribution. Its study in high-dimension is the subject of much attention, especially because the information acquisition processes at work…

Stéphan Clémençon, Myrto Limnios, Nicolas Vayatis

Electronic Journal of Statistics -

Life Sciences

Trajectories of delay discounting and smoking from adolescence to young adulthood

Background: Delay discounting is consistently implicated in nicotine use, with individuals dependent on smoking exhibiting greater discounting rates than those who do not smoke. The temporal relationship of delay discounting and smoking, however,…

Gezelle Dali, Antoinette Poulton, Tobias Banaschewski, Arun L W Bokde, Sylvane Desrivières, Herta Flor, Hugh Garavan, Antoine Grigis, Andreas Heinz, Jean-Luc Martinot, Frauke Nees, Dimitri Papadopoulos Orfanos, Luise Poustka, Michael N Smolka, Sarah Hohmann, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Robert Hester

Drug and Alcohol Dependence -

Life Sciences

A Dataset of Clinical Gait Signals with Wearable Sensors from Healthy, Neurological, and Orthopedic Cohorts

Open access, clean, annotated databases are key for future significant advances in gait quantification with inertial sensors. This multi-pathology and clinically annotated dataset provides 1356 gait trials from 260 participants equipped with four…

Cyril Voisard, Rémi Barrois, Nicolas De L’escalopier, Nicolas Vayatis, Pierre-Paul Vidal, Alain Yelnik, Damien Ricard, Laurent Oudre

Scientific Data -

Machine Learning

SKADA-Bench: Benchmarking Unsupervised Domain Adaptation Methods with Realistic Validation On Diverse Modalities

Unsupervised Domain Adaptation (DA) consists of adapting a model trained on a labeled source domain to perform well on an unlabeled target domain with some data distribution shift. While many methods have been proposed in the literature, fair and…

Yanis Lalou, Theo Gnassounou, Antoine Collas, Antoine de Mathelin, Oleksii Kachaiev, Ambroise Odonnat, Thomas Moreau, Alexandre Gramfort, Rémi Flamary

Transactions on Machine Learning Research Journal -

Machine Learning

Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings

Autoencoders based on Graph Neural Networks (GNNs) have garnered significant attention in recent years for their ability to extract informative latent representations, characterizing the structure of complex topologies, such as graphs. Despite the…

Nikolaos Nakis, Chrysoula Kosma, Giannis Nikolentzos, Michalis Chatzianastasis, Iakovos Evdaimon, Michalis Vazirgiannis

The 28th International Conference on Artificial Intelligence and Statistics -

Life Sciences

In its very early phases, COVID-19 shifts the associations between alcohol consumption and psychological symptoms in young adults

Background. The COVID-19 pandemic has impacted various aspects of daily life, leading to increased psychological symptoms and changes in alcohol use, yet little is known about their specific interactions, particularly early stages during the…

Karina Janson, Arun L.W. Bokde, Sylvane Desrivières, Hugh Garavan, Penny Gowland, Antoine Grigis, Andreas Heinz, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Dimitri Papadopoulos Orfanos, Tomáš Paus, Luise Poustka, Michael N Smolka, Nathalie E Holz, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Herta Flor, Olaf Reis, Emanuel Schwarz, Tobias Banaschewski, Frauke Nees

European Psychiatry -

Humanities and Social Sciences

Multi-segmental control of style

By analyzing body movements and muscle activity across ground level, height exposure, and return-to-ground conditions, this study identified significant, individualized changes in motor control and EMG activity that define perceptualmotor styles…

Danping Wang, Yunchao Peng, Donovan Morel, Ioannis Bargiotas, Nicolas Vayatis, Lise Haddouk, Pierre‐paul Vidal

Annual Review of Cybertherapy and Telemedicine -

Computer Science

A Comparative Analysis of OCR Models on Diverse Datasets: Insights from Memes and Hiertext Dataset

Optical Character Recognition (OCR) plays a critical role in various text extraction applications, yet its performance varies significantly across languages, visual appearances, and document types. This study benchmarks several state-of-the-art OCR…

Iknoor Singh, Miguel Colom, Kalina Bontcheva

2025 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) -