Using NLP on news headlines to predict index trends. - Marc Velay; Fabrice Daniel (CoRR, 2018)

Stock Chart Pattern recognition with Deep Learning. - Marc Velay; Fabrice Daniel (CoRR, 2018)

Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters. - Marc Velay; Fabrice Daniel (CoRR, 2018)

Financial Time Series Data Processing for Machine Learning. - Fabrice Daniel (CoRR, 2019)

Bayesian and Dempster-Shafer models for combining multiple sources of evidence in a fraud detection system. - Fabrice Daniel (CoRR, 2021)

Evaluating categorical encoding methods on a real credit card fraud detection database. - François De La Bourdonnaye; Fabrice Daniel (CoRR, 2021)

TracInAD: Measuring Influence for Anomaly Detection. - Hugo Thimonier; Fabrice Popineau; Arpad Rimmel; Bich-Liên Doan; Fabrice Daniel (IJCNN, 2022)

Evaluating resampling methods on a real-life highly imbalanced online credit card payments dataset. - François De La Bourdonnaye; Fabrice Daniel (CoRR, 2022)

Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management. - Marc Velay; Bich-Liên Doan; Arpad Rimmel; Fabrice Popineau; Fabrice Daniel (INISTA, 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)