455 citations
- Centre National de la Recherche ScientifiqueFR39 papers
- Institut national de recherche en sciences et technologies du numériqueFR28 papers
- SupélecFR20 papers
- Télécom ParisFR17 papers
- Université Paris 1 Panthéon-SorbonneFR11 papers
- Laboratoire des signaux et systèmesFR10 papers
- Laboratoire Traitement et Communication de l’InformationFR10 papers
- IMT AtlantiqueFR9 papers
- Institut Mines-TélécomFR9 papers
- Institut Polytechnique de ParisFR9 papers
- Université de RennesFR9 papers
- Université Paris-SaclayFR9 papers
34 papers · 1 filter
Robust and continuous machine learning of usage habits to adapt digital interfaces to user needs
Eric Petit, Denis Chêne
The paper presents a machine learning approach to design digital interfaces that can dynamically adapt to different users and usage strategies. The algorithm uses Bayesian statisti…
Robust Detection of Synthetic Tabular Data under Schema Variability
G. Charbel N. Kindji, Elisa Fromont, Lina Maria Rojas-Barahona +1
The rise of powerful generative models has sparked concerns over data authenticity. While detection methods have been extensively developed for images and text, the case of tabular…
Datum-wise Transformer for Synthetic Tabular Data Detection in the Wild
G. Charbel N. Kindji, Elisa Fromont, Lina Maria Rojas-Barahona +1
The growing power of generative models raises major concerns about the authenticity of published content. To address this problem, several synthetic content detection methods have…
Cross-table Synthetic Tabular Data Detection
G. Charbel N. Kindji, Lina Maria Rojas-Barahona, Elisa Fromont +1
Detecting synthetic tabular data is essential to prevent the distribution of false or manipulated datasets that could compromise data-driven decision-making. This study explores wh…
Tabular Data Generation Models: An In-Depth Survey and Performance Benchmarks with Extensive Tuning
G. Charbel N. Kindji, Lina Maria Rojas-Barahona, Elisa Fromont +1
The ability to train generative models that produce realistic, safe and useful tabular data is essential for data privacy, imputation, oversampling, explainability or simulation. H…
FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning
Duc Thinh Ngo, Kandaraj Piamrat, Ons Aouedi +2
From a telecommunication standpoint, the surge in users and services challenges next-generation networks with escalating traffic demands and limited resources. Accurate traffic pre…