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2020 – today
- 2021
[j4]Bertrand Lebichot, Théo Verhelst
, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi:
Transfer Learning Strategies for Credit Card Fraud Detection. IEEE Access 9: 114754-114766 (2021)- [j3]Bertrand Lebichot, Gian Marco Paldino, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi:
Incremental learning strategies for credit cards fraud detection. Int. J. Data Sci. Anal. 12(2): 165-174 (2021) - [i5]Wissam Siblini, Guillaume Coter, Rémy Fabry, Liyun He-Guelton, Frédéric Oblé, Bertrand Lebichot, Yann-Aël Le Borgne, Gianluca Bontempi:
Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production. CoRR abs/2107.09323 (2021) - 2020
- [j2]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto:
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs. Future Gener. Comput. Syst. 102: 393-402 (2020) - [c13]Bertrand Lebichot, Gian Marco Paldino, Gianluca Bontempi, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé:
Incremental learning strategies for credit cards fraud detection: Extended abstract. DSAA 2020: 785-786 - [c12]Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer:
NAG: Neural feature aggregation framework for credit card fraud detection. ICDM 2020: 92-101 - [c11]Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé:
Dual Sequential Variational Autoencoders for Fraud Detection. IDA 2020: 14-26 - [c10]Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang:
Master Your Metrics with Calibration. IDA 2020: 457-469
2010 – 2019
- 2019
- [c9]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Liyun He-Guelton, Frédéric Oblé, Michael Granitzer:
Dataset Shift Quantification for Credit Card Fraud Detection. AIKE 2019: 97-100 - [c8]Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé, Wissam Siblini:
Anomaly Detection, Consider Your Dataset First An Illustration on Fraud Detection. ICTAI 2019: 1351-1355 - [c7]Bertrand Lebichot, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi:
Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection. INNSBDDL 2019: 78-88 - [c6]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Olivier Caelen, Liyun He-Guelton, Michael Granitzer:
Multiple perspectives HMM-based feature engineering for credit card fraud detection. SAC 2019: 1359-1361 - [i4]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Olivier Caelen, Liyun He-Guelton, Sylvie Calabretto, Michael Granitzer:
Multiple perspectives HMM-based feature engineering for credit card fraud detection. CoRR abs/1905.06247 (2019) - [i3]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Liyun He-Guelton, Frédéric Oblé, Michael Granitzer:
Dataset shift quantification for credit card fraud detection. CoRR abs/1906.06977 (2019) - [i2]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto:
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs. CoRR abs/1909.01185 (2019) - [i1]Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang:
Master your Metrics with Calibration. CoRR abs/1909.02827 (2019) - 2018
- [j1]Johannes Jurgovsky, Michael Granitzer, Konstantin Ziegler, Sylvie Calabretto, Pierre-Edouard Portier, Liyun He-Guelton, Olivier Caelen:
Sequence classification for credit-card fraud detection. Expert Syst. Appl. 100: 234-245 (2018) - [c5]Yoan Russac, Olivier Caelen, Liyun He-Guelton:
Embeddings of Categorical Variables for Sequential Data in Fraud Context. AMLTA 2018: 542-552 - [c4]Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton:
Online Non-linear Gradient Boosting in Multi-latent Spaces. IDA 2018: 99-110 - [c3]Jordan Fréry, Amaury Habrard, Marc Sebban, Liyun He-Guelton:
Non-Linear Gradient Boosting for Class-Imbalance Learning. LIDTA@ECML/PKDD 2018: 38-51 - 2017
- [c2]Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton:
Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection. ECML/PKDD (1) 2017: 20-35 - [c1]Konstantin Ziegler, Olivier Caelen, Mathieu Garchery, Michael Granitzer, Liyun He-Guelton, Johannes Jurgovsky, Pierre-Edouard Portier, Stefan Zwicklbauer:
Injecting Semantic Background Knowledge into Neural Networks using Graph Embeddings. WETICE 2017: 200-205
Coauthor Index
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