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Domain Adaptation from a Pre-trained Source Model: Application on fraud detection tasks

Luxin Zhang 1, 2 Christophe Biernacki 1 Pascal Germain 1 Yacine Kessaci 2
1 MODAL - MOdel for Data Analysis and Learning
Inria Lille - Nord Europe, LPP - Laboratoire Paul Painlevé - UMR 8524, METRICS - Evaluation des technologies de santé et des pratiques médicales - ULR 2694, Polytech Lille - École polytechnique universitaire de Lille, Université de Lille, Sciences et Technologies
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https://hal.archives-ouvertes.fr/hal-02399003
Contributor : Christophe Biernacki <>
Submitted on : Sunday, March 8, 2020 - 6:48:36 PM
Last modification on : Friday, November 27, 2020 - 2:18:03 PM

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Luxin Zhang, Christophe Biernacki, Pascal Germain, Yacine Kessaci. Domain Adaptation from a Pre-trained Source Model: Application on fraud detection tasks. CMStatistics 2019 - 12th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2019, London, United Kingdom. ⟨hal-02399003⟩

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