Liyun He-Guelton

According to our database1, Liyun He-Guelton authored at least 18 papers between 2017 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
Incremental learning strategies for credit cards fraud detection.
Int. J. Data Sci. Anal., 2021

Transfer Learning for Credit Card Fraud Detection: A Journey from Research to Production.
CoRR, 2021

Transfer Learning Strategies for Credit Card Fraud Detection.
IEEE Access, 2021

2020
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs.
Future Gener. Comput. Syst., 2020

Master Your Metrics with Calibration.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

Dual Sequential Variational Autoencoders for Fraud Detection.
Proceedings of the Advances in Intelligent Data Analysis XVIII, 2020

NAG: Neural feature aggregation framework for credit card fraud detection.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Incremental learning strategies for credit cards fraud detection: Extended abstract.
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.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection.
Proceedings of the Recent Advances in Big Data and Deep Learning, 2019

Anomaly Detection, Consider Your Dataset First An Illustration on Fraud Detection.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Dataset Shift Quantification for Credit Card Fraud Detection.
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2019

2018
Sequence classification for credit-card fraud detection.
Expert Syst. Appl., 2018

Non-Linear Gradient Boosting for Class-Imbalance Learning.
Proceedings of the Second International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2018

Online Non-linear Gradient Boosting in Multi-latent Spaces.
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018

Embeddings of Categorical Variables for Sequential Data in Fraud Context.
Proceedings of the International Conference on Advanced Machine Learning Technologies and Applications, 2018

2017
Injecting Semantic Background Knowledge into Neural Networks using Graph Embeddings.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017


  Loading...