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).


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Learning from multimodal data for classification and prediction of Alzheimer's disease.

Alzheimer's disease, Apprentissage automatique, Classification, Données cliniques, IRM, Machine learning, Maladie d'Alzheimer, Open-source, Reproductibilité, TEP

Aggregation methods: optimality and fast speeds.

Adaptation, Classification, Estimatation non-paramétrique, Estimation de densité, Inégalités d'oracle, Optimalité, Réduction de dimension, Régression, Vitesses minimax

Aggregation procedures: optimality and fast rates.

Adaptation, Classification, Density estimation, Dimension reduction, Estimation de densité, Estimation non-paramétrique, Inégalités d'oracle, Minimax rates of convergence, Non-parametric estimation, Optimality, Optimalité, Oracle inequalities, Réduction de dimension, Régression, Vitesses minimax

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

Classification of events from ground sensors - Application to the monitoring of fragile people.

Apprentissage statistique, Classification, Signal processing, Statistical learning, Traitement du signal

Contribution to the study of prevention in health insurance.

Assurance santé, Classification, Clustering, Data Science, Data science, Health insurance, Prevention, Prévention, Psychiatrie, Psychiatry, Risk theory, Théorie du risque

Mixtures of GLMs and number of components: application to surrender risk in life insurance.

Classification, Comportement de rachat, Finite mixtures, GLM, Model selection, Mélange, Surrender behaviour, Sélection de modèle

Mixtures of GLMs and number of components: application to surrender risk in life insurance.

Classification, Comportement de rachat, Finite mixtures, GLM, Model selection, Mélange, Surrender behaviour, Sélection de modèle

Aggregation using input-output trade-off.

Aggregation, Classification, Consistency, Nonlinearity, Regression estimation

Aggregation using input–output trade-off.

Aggregation, Classification, Consistency, Nonlinearity, Regression estimation

A clusterwise supervised learning procedure based on aggregation of distances.

62P30, 68T05, 68U99, 68U99 1, Aggregation, Bregman divergences, Classification, Clustering, Kernel 2010 Mathematics Subject Classification 62J99, Kernel 22 2010 Mathematics Subject Classification 62J99, Re- 21 gression, Re- gression

Data mining of temporal sequences for the prediction of infrequent failure events : application on floating train data for predictive maintenance.

Association rule mining, Classification, Data Mining, Floating Train Data, Fouille de données, Maintenance Prédictive, Pattern recognition, Predictive Maintenance, Règles d'associations, Séquences temporelles, Temporal sequences, Véhicules traceurs ferroviaires