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Conference and Workshop Papers
- 2023
[c3]Raphael Krief, Eric Benhamou, Beatrice Guez, Jean-Jacques Ohana, David Saltiel, Rida Laraki, Jamal Atif:
FSDA: Tackling Tail-Event Analysis in Imbalanced Time Series Data with Feature Selection and Data Augmentation. LIDTA 2023: 45-58- 2021
- [c2]Jean-Jacques Ohana, Steve Ohana, Eric Benhamou, David Saltiel, Beatrice Guez:
Explainable AI (XAI) Models Applied to the Multi-agent Environment of Financial Markets. EXTRAAMAS@AAMAS 2021: 189-207 - [c1]Eric Benhamou, David Saltiel, Serge Tabachnik, Corentin Bourdeix, François Chareyron, Beatrice Guez:
Adaptive Supervised Learning for Financial Markets Volatility Targeting Models. PKDD/ECML Workshops (2) 2021: 195-209
Informal and Other Publications
- 2024
- [i5]Baptiste Lefort, Eric Benhamou, Jean-Jacques Ohana, David Saltiel, Beatrice Guez, Damien Challet:
Can ChatGPT Compute Trustworthy Sentiment Scores from Bloomberg Market Wraps? CoRR abs/2401.05447 (2024) - [i4]Baptiste Lefort, Eric Benhamou, Jean-Jacques Ohana, David Saltiel, Beatrice Guez, Thomas Jacquot:
Stress index strategy enhanced with financial news sentiment analysis for the equity markets. CoRR abs/2404.00012 (2024) - [i3]Baptiste Lefort, Eric Benhamou, Jean-Jacques Ohana, Beatrice Guez, David Saltiel, Thomas Jacquot:
Examining Independence in Ensemble Sentiment Analysis: A Study on the Limits of Large Language Models Using the Condorcet Jury Theorem. CoRR abs/2409.00094 (2024) - [i2]Baptiste Lefort, Eric Benhamou, Jean-Jacques Ohana, David Saltiel, Beatrice Guez:
Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning. CoRR abs/2409.11408 (2024) - 2019
- [i1]Eric Benhamou
, David Saltiel, Beatrice Guez, Nicolas Paris:
BCMA-ES II: revisiting Bayesian CMA-ES. CoRR abs/1904.01466 (2019)
Coauthor Index
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