30 citations · 55 across the 8 of their papers we have counts for
10 papers
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set
Philippe Besse, Eustasio del Barrio, Paula Gordaliza +2
Applications based on Machine Learning models have now become an indispensable part of the everyday life and the professional world. A critical question then recently arised among…
Wikistat 2.0: Educational Resources for Artificial Intelligence
Philippe Besse, Brendan Guillouet, Béatrice Laurent
Big data, data science, deep learning, artificial intelligence are the key words of intense hype related with a job market in full evolution, that impose to adapt the contents of o…
Can everyday AI be ethical. Fairness of Machine Learning Algorithms
Philippe Besse, Celine Castets-Renard, Aurelien Garivier +1
Combining big data and machine learning algorithms, the power of automatic decision tools induces as much hope as fear. Many recently enacted European legislation (GDPR) and French…
Confidence Intervals for Testing Disparate Impact in Fair Learning
Philippe Besse, Eustasio del Barrio, Paula Gordaliza +1
We provide the asymptotic distribution of the major indexes used in the statistical literature to quantify disparate treatment in machine learning. We aim at promoting the use of c…
Big Data analytics. Three use cases with R, Python and Spark
Philippe Besse, Brendan Guillouet, Jean-Michel Loubes
Management and analysis of big data are systematically associated with a data distributed architecture in the Hadoop and now Spark frameworks. This article offers an introduction f…
Destination Prediction by Trajectory Distribution Based Model
Philippe C. Besse, Brendan Guillouet, Jean-Michel Loubes +1
In this paper we propose a new method to predict the final destination of vehicle trips based on their initial partial trajectories. We first review how we obtained clustering of t…
From Statistician to Data Scientist
Philippe Besse, Beatrice Laurent
According to a recent report from the European Commission, the world generates every minute 1.7 million of billions of data bytes, the equivalent of 360,000 DVDs, and companies tha…
Review and Perspective for Distance Based Trajectory Clustering
Philippe Besse, Brendan Guillouet, Jean-Michel Loubes +1
In this paper we tackle the issue of clustering trajectories of geolocalized observations. Using clustering technics based on the choice of a distance between the observations, we…
Big Data Analytics - Retour vers le Futur 3; De Statisticien à Data Scientist
Philippe Besse, Aurélien Garivier, Jean-Michel Loubes
The rapid evolution of information systems managing more and more voluminous data has caused profound paradigm shifts in the job of statistician, becoming successively data miner,…
Stable variable selection for right censored data: comparison of methods
Marie Walschaerts, Eve Leconte, Philippe Besse
The instability in the selection of models is a major concern with data sets containing a large number of covariates. This paper deals with variable selection methodology in the ca…