6 citations · 17 across the 5 of their papers we have counts for
5 papers
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…
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell +1
Detecting early signs of failures (anomalies) in complex systems is one of the main goal of preventive maintenance. It allows in particular to avoid actual failures by (re)scheduli…
Anomaly Detection Based on Indicators Aggregation
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell +1
Automatic anomaly detection is a major issue in various areas. Beyond mere detection, the identification of the source of the problem that produced the anomaly is also essential. T…
A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell +1
Aircraft engine manufacturers collect large amount of engine related data during flights. These data are used to detect anomalies in the engines in order to help companies optimize…
Anomaly Detection Based on Aggregation of Indicators
Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell +1
Automatic anomaly detection is a major issue in various areas. Beyond mere detection, the identification of the origin of the problem that produced the anomaly is also essential. T…