Patrimony
The Louis Bachelier Group's patrimony has been defined as all the publications produced by academic researchers thanks to Group funding (ILB, FdR, IEF, Labex) or via the use of EquipEx data (BEDOFIH, EUROFIDAI).
Uniformly randomized forests and detection of social contribution irregularities.
Apprentissage automatique, Apprentissage statistique, Classification, Cotisations sociales, Decision trees, Ensemble learning, Forêts uniformément aléatoires, Fraud, Fraude, Irregularities, Irrégularités, Machine learning, Random uniform forests, Regression, Régression, Social contributions, URSSAF d'Île-de-France, URSSAF of Île-de-France
Generalization aspect of accurate machine learning models for CSI-based localization.
Channel state information, Deep learning, Ensemble learning, Generalization, Indoor localization, KNN, MIMO, Neural networks