Fabrice Daniel

According to our database, Fabrice Daniel authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments.

Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel

CoRR, 2023

Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management.

Marc Velay, Bich-Liên Doan, Arpad Rimmel, Fabrice Popineau, Fabrice Daniel

Proceedings of the International Conference on Innovations in Intelligent Systems and Applications, 2023

2022

Evaluating resampling methods on a real-life highly imbalanced online credit card payments dataset.

François De La Bourdonnaye, Fabrice Daniel

CoRR, 2022

TracInAD: Measuring Influence for Anomaly Detection.

Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Evaluating categorical encoding methods on a real credit card fraud detection database.

François De La Bourdonnaye, Fabrice Daniel

CoRR, 2021

Bayesian and Dempster-Shafer models for combining multiple sources of evidence in a fraud detection system.

Fabrice Daniel

CoRR, 2021

2019

Financial Time Series Data Processing for Machine Learning.

Fabrice Daniel

CoRR, 2019

2018

Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters.

Marc Velay, Fabrice Daniel

CoRR, 2018

Stock Chart Pattern recognition with Deep Learning.

Marc Velay, Fabrice Daniel

CoRR, 2018

Using NLP on news headlines to predict index trends.

Marc Velay, Fabrice Daniel

CoRR, 2018