Sequential data are generated in many domains of science and technology. Although many
studies have been carried out for sequence classification in the past decade, the problem is …

Afin de gérer intelligemment les méthodes de segmentation utilisées et de fusionner au
mieux l'information extraite par chacune, nous proposons une approche adaptative de …

This paper presents a method to interpret the output of a classification (or regression) model.
The interpretation is based on two concepts: the variable importance and the value …

Sequential data is generated in many domains of science and technology. Although many
studies have been carried out for sequence classification in the past decade, the problem is …

This paper describes our participation to DEFT2013. On the one hand we first detail our answers
and results related to the tasks 1 and 2 which are classification tasks applied to recipes. …

We present a new evaluation criterion for the induction of decision trees. We exploit a
parameter-free Bayesian approach and propose an analytic formula for the evaluation of the …

Uplift modeling aims to estimate the incremental impact of a treatment, such as a marketing
campaign or a drug, on an individual’s outcome. Bank or Telecom uplift data often have …

Uplift Modeling measures the impact of an action (marketing, medical treatment) on a person’s
behavior. This allows the selection of the subgroup of persons for which the effect of the …

Uplift modeling aims to estimate the incremental impact of a treatment, such as a marketing
campaign or a drug, on an individual’s behavior. These approaches are very useful in …

Les smartphones sont omniprésents dans notre quotidien. Ils constituent une ressource
informatique à portée de la main avec un accès direct à une quantité considérable d’…