Liyun He-Guelton

According to our database, Liyun He-Guelton authored at least 18 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Incremental learning strategies for credit cards fraud detection.

Bertrand Lebichot, Gian Marco Paldino, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi

Int. J. Data Sci. Anal., 2021

Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production.

Wissam Siblini, Guillaume Coter, Rémy Fabry, Liyun He-Guelton, Frédéric Oblé, Bertrand Lebichot, Yann-Aël Le Borgne, Gianluca Bontempi

CoRR, 2021

Transfer Learning Strategies for Credit Card Fraud Detection.

Bertrand Lebichot, Théo Verhelst, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi

IEEE Access, 2021

2020

Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs.

Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto

Future Gener. Comput. Syst., 2020

Master Your Metrics with Calibration.

Wissam Siblini, Jordan Fréry, Liyun He-Guelton, Frédéric Oblé, Yi-Qing Wang

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Dual Sequential Variational Autoencoders for Fraud Detection.

Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé

Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

NAG: Neural feature aggregation framework for credit card fraud detection.

Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Incremental learning strategies for credit cards fraud detection: Extended abstract.

Bertrand Lebichot, Gian Marco Paldino, Gianluca Bontempi, Wissam Siblini, Liyun He-Guelton, Frédéric Oblé

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019

Multiple perspectives HMM-based feature engineering for credit card fraud detection.

Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Olivier Caelen, Liyun He-Guelton, Michael Granitzer

Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection.

Bertrand Lebichot, Yann-Aël Le Borgne, Liyun He-Guelton, Frédéric Oblé, Gianluca Bontempi

Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Anomaly Detection, Consider Your Dataset First An Illustration on Fraud Detection.

Ayman Alazizi, Amaury Habrard, François Jacquenet, Liyun He-Guelton, Frédéric Oblé, Wissam Siblini

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Dataset Shift Quantification for Credit Card Fraud Detection.

Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Liyun He-Guelton, Frédéric Oblé, Michael Granitzer

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2019

2018

Sequence classification for credit-card fraud detection.

Johannes Jurgovsky, Michael Granitzer, Konstantin Ziegler, Sylvie Calabretto, Pierre-Edouard Portier, Liyun He-Guelton, Olivier Caelen

Expert Syst. Appl., 2018

Non-Linear Gradient Boosting for Class-Imbalance Learning.

Jordan Fréry, Amaury Habrard, Marc Sebban, Liyun He-Guelton

Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

Online Non-linear Gradient Boosting in Multi-latent Spaces.

Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton

Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Embeddings of Categorical Variables for Sequential Data in Fraud Context.

Yoan Russac, Olivier Caelen, Liyun He-Guelton

Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2018

2017

Injecting Semantic Background Knowledge into Neural Networks using Graph Embeddings.

Konstantin Ziegler, Olivier Caelen, Mathieu Garchery, Michael Granitzer, Liyun He-Guelton, Johannes Jurgovsky, Pierre-Edouard Portier, Stefan Zwicklbauer

Proceedings of the 26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2017

Efficient Top Rank Optimization with Gradient Boosting for Supervised Anomaly Detection.

Jordan Fréry, Amaury Habrard, Marc Sebban, Olivier Caelen, Liyun He-Guelton

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017