Beatrice Guez

According to our database, Beatrice Guez authored at least 8 papers between 2019 and 2024.

Collaborative distances:

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

2024

Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning.

Baptiste Lefort, Eric Benhamou, Jean-Jacques Ohana, David Saltiel, Beatrice Guez

CoRR, 2024

Examining Independence in Ensemble Sentiment Analysis: A Study on the Limits of Large Language Models Using the Condorcet Jury Theorem.

Baptiste Lefort, Eric Benhamou, Jean-Jacques Ohana, Beatrice Guez, David Saltiel, Thomas Jacquot

CoRR, 2024

Stress index strategy enhanced with financial news sentiment analysis for the equity markets.

Baptiste Lefort, Eric Benhamou, Jean-Jacques Ohana, David Saltiel, Beatrice Guez, Thomas Jacquot

CoRR, 2024

Can ChatGPT Compute Trustworthy Sentiment Scores from Bloomberg Market Wraps?

Baptiste Lefort, Eric Benhamou, Jean-Jacques Ohana, David Saltiel, Beatrice Guez, Damien Challet

CoRR, 2024

2023

FSDA: Tackling Tail-Event Analysis in Imbalanced Time Series Data with Feature Selection and Data Augmentation.

Raphael Krief, Eric Benhamou, Beatrice Guez, Jean-Jacques Ohana, David Saltiel, Rida Laraki, Jamal Atif

Proceedings of the Fifth International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2023

2021

Adaptive Supervised Learning for Financial Markets Volatility Targeting Models.

Eric Benhamou, David Saltiel, Serge Tabachnik, Corentin Bourdeix, François Chareyron, Beatrice Guez

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Explainable AI (XAI) Models Applied to the Multi-agent Environment of Financial Markets.

Jean-Jacques Ohana, Steve Ohana, Eric Benhamou, David Saltiel, Beatrice Guez

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2021

2019

BCMA-ES II: revisiting Bayesian CMA-ES.

Eric Benhamou, David Saltiel, Beatrice Guez, Nicolas Paris

CoRR, 2019