32 citations · 55 across the 7 of their papers we have counts for
10 papers
Meta-survey on outlier and anomaly detection
Madalina Olteanu, Fabrice Rossi, Florian Yger
The impact of outliers and anomalies on model estimation and data processing is of paramount importance, as evidenced by the extensive body of research spanning various fields over…
Challenges in anomaly and change point detection
Madalina Olteanu, Fabrice Rossi, Florian Yger
This paper presents an introduction to the state-of-the-art in anomaly and change-point detection. On the one hand, the main concepts needed to understand the vast scientific liter…
Pesticide concentration monitoring: investigating spatio-temporal patterns in left censored data
Clément Laroche, Madalina Olteanu, Fabrice Rossi
Monitoring pesticide concentration is very important for public authorities given the major concerns for environmental safety and the likelihood for increased public health risks.…
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,…
From Urban Segregation to Spatial Pattern Detection
Julien Randon-Furling, Madalina Olteanu, Antoine Lucquiaud
We develop a "multifocal" approach to reveal spatial dissimilarities in cities, from the most local scale to the metropolitan one. Think for instance of a statistical variable that…
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…