14 citations · 23 across the 5 of their papers we have counts for
5 papers
Benchmarking Robustness of Deep Reinforcement Learning approaches to Online Portfolio Management
Marc Velay, Bich-Liên Doan, Arpad Rimmel +2
Deep Reinforcement Learning approaches to Online Portfolio Selection have grown in popularity in recent years. The sensitive nature of training Reinforcement Learning agents implie…
Adversarial vs behavioural-based defensive AI with joint, continual and active learning: automated evaluation of robustness to deception, poisoning and concept drift
Alexandre Dey, Marc Velay, Jean-Philippe Fauvelle +1
Recent advancements in Artificial Intelligence (AI) have brought new capabilities to behavioural analysis (UEBA) for cyber-security consisting in the detection of hostile action ba…
Seq2Seq and Multi-Task Learning for joint intent and content extraction for domain specific interpreters
Marc Velay, Fabrice Daniel
This study evaluates the performances of an LSTM network for detecting and extracting the intent and content of com- mands for a financial chatbot. It presents two techniques, sequ…
Stock Chart Pattern recognition with Deep Learning
Marc Velay, Fabrice Daniel
This study evaluates the performances of CNN and LSTM for recognizing common charts patterns in a stock historical data. It presents two common patterns, the method used to build t…
Using NLP on news headlines to predict index trends
Marc Velay, Fabrice Daniel
This paper attempts to provide a state of the art in trend prediction using news headlines. We present the research done on predicting DJIA trends using Natural Language Processing…