3 citations · 3 across the 3 of their papers we have counts for
4 papers
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte +4
Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However, most studies consider credit card transactions as isolated ev…
Dataset shift quantification for credit card fraud detection
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte +4
Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However purchase behaviour and fraudster strategies may change over ti…
Multiple perspectives HMM-based feature engineering for credit card fraud detection
Yvan Lucas, Pierre-Edouard Portier, Léa Laporte +4
Machine learning and data mining techniques have been used extensively in order to detect credit card frauds. However, most studies consider credit card transactions as isolated ev…
Ranking Entities in the Age of Two Webs, an Application to Semantic Snippets
Mazen Alsarem, Pierre-Edouard Portier, Sylvie Calabretto +1
The advances of the Linked Open Data (LOD) initiative are giving rise to a more structured Web of data. Indeed, a few datasets act as hubs (e.g., DBpedia) connecting many other dat…