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Publications

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

Affichage des publications 91 à 100 sur 1397 au total

Engineering Sciences

MultiEpilepsyNet: An EEG and MRI Data based Multimodal Seizure Detection Model using Hybrid Deep learning Model

Epilepsy is a critical neurological disorder that requires accurate and privacy-preserving diagnostic solutions to enable early detection and effective management. However, existing approaches face key challenges, including reliance on centralized…

Mohd Abdul Rahim Khan, Nasser Ali Aljarallah, Ashit Kumar Dutta, Shtwai Alsubai, Seyed Jalaleddin Mousavirad, Sunil Kumar Sharma, Ghanshyam G Tejani, David Bassir

Brain Research Bulletin -

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 -