Fabrice Daniel

12 papers B 1C 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2023	C	`conf`	Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management. INISTA Marc Velay, Bich-Liên Doan, Arpad Rimmel, Fabrice Popineau, Fabrice Daniel
2023	J	`jnl`	Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management. CoRR Marc Velay, Bich-Liên Doan, Arpad Rimmel, Fabrice Popineau, Fabrice Daniel
2023	J	`jnl`	Comparative Evaluation of Anomaly Detection Methods for Fraud Detection in Online Credit Card Payments. CoRR Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel
2022	J	`jnl`	Evaluating resampling methods on a real-life highly imbalanced online credit card payments dataset. CoRR François De La Bourdonnaye, Fabrice Daniel
2022	B	`conf`	TracInAD: Measuring Influence for Anomaly Detection. IJCNN Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel
2022	J	`jnl`	TracInAD: Measuring Influence for Anomaly Detection. CoRR Hugo Thimonier, Fabrice Popineau, Arpad Rimmel, Bich-Liên Doan, Fabrice Daniel
2021	J	`jnl`	Bayesian and Dempster-Shafer models for combining multiple sources of evidence in a fraud detection system. CoRR Fabrice Daniel
2021	J	`jnl`	Evaluating categorical encoding methods on a real credit card fraud detection database. CoRR François De La Bourdonnaye, Fabrice Daniel
2019	J	`jnl`	Financial Time Series Data Processing for Machine Learning. CoRR Fabrice Daniel
2018	J	`jnl`	Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters. CoRR Marc Velay, Fabrice Daniel
2018	J	`jnl`	Stock Chart Pattern recognition with Deep Learning. CoRR Marc Velay, Fabrice Daniel
2018	J	`jnl`	Using NLP on news headlines to predict index trends. CoRR Marc Velay, Fabrice Daniel