Liyun He-Guelton

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 22

Top Topics

Categorical Variables

Learning Strategies

Gradient Boosting

Fraud Detection

Top Venues

Future Gener. Comput. Syst.

Publications

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 (2021)
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) (2021)
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 (2021)
Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer
NAG: Neural feature aggregation framework for credit card fraud detection. ICDM (2020)
Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé
Dual Sequential Variational Autoencoders for Fraud Detection. IDA (2020)
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)
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 (2020)
Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang
Master Your Metrics with Calibration. IDA (2020)
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)
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 (2019)
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)
Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang
Master your Metrics with Calibration. CoRR (2019)
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)
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 (2019)
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 (2019)
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)
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 (2018)
Jordan Fréry, Amaury Habrard, Marc Sebban, Liyun He-Guelton
Non-Linear Gradient Boosting for Class-Imbalance Learning. LIDTA@ECML/PKDD (2018)
Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton
Online Non-linear Gradient Boosting in Multi-latent Spaces. IDA (2018)
Yoan Russac, Olivier Caelen, Liyun He-Guelton
Embeddings of Categorical Variables for Sequential Data in Fraud Context. AMLTA (2018)
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)
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)