149 citations · 352 across the 29 of their papers we have counts for
32 papers
Anomaly Detection for Bivariate Signals
Marie Cottrell, Cynthia Faure, Jérôme Lacaille +1
The anomaly detection problem for univariate or multivariate time series is a critical question in many practical applications as industrial processes control, biological measures,…
Multidimensional Urban Segregation - Toward A Neural Network Measure
Madalina Olteanu, Aurélien Hazan, Marie Cottrell +1
We introduce a multidimensional, neural-network approach to reveal and measure urban segregation phenomena, based on the Self-Organizing Map algorithm (SOM). The multidimensionalit…
Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring
Anastasios Bellas, Charles Bouveyron, Marie Cottrell +1
We develop an application of SOM for the task of anomaly detection and visualization. To remove the effect of exogenous independent variables, we use a correction model which is mo…
Analysis of Professional Trajectories using Disconnected Self-Organizing Maps
Etienne Côme, Marie Cottrell, Patrice Gaubert
In this paper we address an important economic question. Is there, as mainstream economic theory asserts it, an homogeneous labor market with mechanisms which govern supply and dem…
How to improve robustness in Kohonen maps and display additional information in Factorial Analysis: application to text mining
Nicolas Bourgeois, Marie Cottrell, Benjamin Déruelle +2
This article is an extended version of a paper presented in the WSOM'2012 conference [1]. We display a combination of factorial projections, SOM algorithm and graph techniques appl…
Search Strategies for Binary Feature Selection for a Naive Bayes Classifier
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell +1
We compare in this paper several feature selection methods for the Naive Bayes Classifier (NBC) when the data under study are described by a large number of redundant binary indica…