41 citations · 126 across the 10 of their papers we have counts for
10 papers
A Hierarchical Bayesian Model for Size Recommendation in Fashion
Romain Guigourès, Yuen King Ho, Evgenii Koriagin +3
We introduce a hierarchical Bayesian approach to tackle the challenging problem of size recommendation in e-commerce fashion. Our approach jointly models a size purchased by a cust…
A Deep Learning System for Predicting Size and Fit in Fashion E-Commerce
Abdul-Saboor Sheikh, Romain Guigoures, Evgenii Koriagin +4
Personalized size and fit recommendations bear crucial significance for any fashion e-commerce platform. Predicting the correct fit drives customer satisfaction and benefits the bu…
SizeNet: Weakly Supervised Learning of Visual Size and Fit in Fashion Images
Nour Karessli, Romain Guigourès, Reza Shirvany
Finding clothes that fit is a hot topic in the e-commerce fashion industry. Most approaches addressing this problem are based on statistical methods relying on historical data of a…
Discovering Patterns in Time-Varying Graphs: A Triclustering Approach
Romain Guigourès, Marc Boullé, Fabrice Rossi
This paper introduces a novel technique to track structures in time varying graphs. The method uses a maximum a posteriori approach for adjusting a three-dimensional co-clustering…
Co-Clustering Network-Constrained Trajectory Data
Mohamed Khalil El Mahrsi, Romain Guigourès, Fabrice Rossi +1
Recently, clustering moving object trajectories kept gaining interest from both the data mining and machine learning communities. This problem, however, was studied mainly and exte…
A Study of the Spatio-Temporal Correlations in Mobile Calls Networks
Romain Guigourès, Marc Boullé, Fabrice Rossi
For the last few years, the amount of data has significantly increased in the companies. It is the reason why data analysis methods have to evolve to meet new demands. In this arti…
Cats & Co: Categorical Time Series Coclustering
Dominique Gay, Romain Guigourès, Marc Boullé +1
We suggest a novel method of clustering and exploratory analysis of temporal event sequences data (also known as categorical time series) based on three-dimensional data grid model…
Country-scale Exploratory Analysis of Call Detail Records through the Lens of Data Grid Models
Romain Guigourès, Dominique Gay, Marc Boullé +2
Call Detail Records (CDRs) are data recorded by telecommunications companies, consisting of basic informations related to several dimensions of the calls made through the network:…
Nonparametric Hierarchical Clustering of Functional Data
Marc Boullé, Romain Guigourès, Fabrice Rossi
In this paper, we deal with the problem of curves clustering. We propose a nonparametric method which partitions the curves into clusters and discretizes the dimensions of the curv…
A Triclustering Approach for Time Evolving Graphs
Romain Guigourès, Marc Boullé, Fabrice Rossi
This paper introduces a novel technique to track structures in time evolving graphs. The method is based on a parameter free approach for three-dimensional co-clustering of the sou…