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Affichage des publications 1 à 10 sur 1050 au total

Computer Science

Clustering de documents avec des plongements LLMs : évaluation de la réduction de dimension

Le clustering de documents est crucial pour la gestion et l'analyse d'importants volumes de données textuelles. Les progrès récents dans les grands modèles de langage (LLMs), comme GPT, ont transformé la manière dont les textes peuvent être analysés…

Imed Keraghel, Stanislas Morbieu, Mohamed Nadif

Les 29èmes Rencontres de la Société Francophone de Classification (SFC) -

Computer Science

Étude sur la classification d'entités nommées

La reconnaissance et la classification d'entités nommées au sein de documents est un processus permettant d'extraire des informations pertinentes pour une tâche donnée. Cependant, les méthodes disponibles pour effectuer ce processus varient selon…

I Keraghel, S Morbieu, M Nadif

Les 28èmes rencontres de la Société Francophone de Classification (SFC) -

Life Sciences

Automatic gait events detection with inertial measurement units: healthy subjects and moderate to severe impaired patients

Abstract Background Recently, the use of inertial measurement units (IMUs) in quantitative gait analysis has been widely developed in clinical practice. Numerous methods have been developed for the automatic detection of gait events (GEs). While…

Cyril Voisard, Nicolas de L’escalopier, Damien Ricard, Laurent Oudre

Journal of NeuroEngineering and Rehabilitation -

Machine Learning

Learning to Mitigate Externalities: the Coase Theorem with Hindsight Rationality

In economic theory, the concept of externality refers to any indirect effect resulting from an interaction between players that affects the social welfare. Most of the models within which externality has been studied assume that agents have perfect…

Antoine Scheid, Aymeric Capitaine, Etienne Boursier, Eric Moulines, Michael I Jordan, Alain Durmus

NeurIPS 2024 - The Thirty-Eighth Annual Conference on Neural Information Processing Systems -

Computer Science

A blockchain-based unified PID with applications in healthcare

This work proposes DOIschain, a decentralized blockchain-based architecture to generate and store persistent, immutable, and perennial identifiers for digital objects (IDO) for the final products of computational scientific research. A supra…

Jose Armando Hernandez Gonzalez, Miguel Colom

The Sixth International Conference on Blockchain Computing and Applications (BCCA 2024) -

Computer Science

DGChain: Data control version for trustworthy reproducibility with Blockchain

This work presents the DGChain (Data-Git-for Blockchain) project. This Python package allows version control of data in blockchain and IPFS based on a DAO (decentralized autonomous organization) for managing data in the development cycles of…

Jose Armando Hernandez Gonzalez

The Sixth International Conference on Blockchain Computing and Applications (BCCA 2024) -

Computer Science

OVD-SaaS: Online Verifiable Data Science as a Service, an architecture of microservices for industrial artificial-intelligence applications: Architecture and study cases

There is a growing concern about credibility and trustworthiness in results and claims of research in computational data science, and at the same time, difficulty in taking those results to MVP (Minimum viable product) in technology transfer from…

Jose Armando Hernandez Gonzalez, Thibaut Germain, Billel Yadoughi, Miguel Colom

2024 Sixth International Conference on Intelligent Computing in Data Sciences (ICDS) -

Engineering Sciences

Advanced Studies in the Mathematical Theory of Scattering (Introduction chapter/excerpt)

We present here the contents and the introduction chapter of our book, 'Advanced Studies in the Mathematical Theory of Scattering', recently published. This book is a collection of independent mathematical studies, describing the analytical…

Jml , Jean-Michel L. , Bernard

Advanced Studies in the Mathematical Theory of Scattering (extract) -