Time to Market Reduction for Hydrogen Fuel Cell Stacks using Generative Adversarial Networks

no code implementations • 22 Dec 2022 • Nicolas Morizet, Perceval Desforges, Christophe Geissler, Elodie Pahon, Samir Jemeï, Daniel Hissel

To face the dependency on fossil fuels and limit carbon emissions, fuel cells are a very promising technology and appear to be a key candidate to tackle the increase of the energy demand and promote the energy transition.

Data Augmentation

Generative Adversarial Networks Applied to Synthetic Financial Scenarios Generation

no code implementations • 12 Jul 2022 • Christophe Geissler, Nicolas Morizet, Matteo Rizzato, Julien Wallart

This pilot study is the result of a collaboration between Fujitsu and Advestis and it will be followed by a thorough exploration of the use cases that can benefit from the proposed solution.

Feature Engineering

Making use of supercomputers in financial machine learning

no code implementations • 1 Mar 2022 • Philippe Cotte, Pierre Lagier, Vincent Margot, Christophe Geissler

This article is the result of a collaboration between Fujitsu and Advestis.

BIG-bench Machine Learning

ESG investments: Filtering versus machine learning approaches

no code implementations • 18 Feb 2020 • Carmine de Franco, Christophe Geissler, Vincent Margot, Bruno Monnier

We designed a machine learning algorithm that identifies patterns between ESG profiles and financial performances for companies in a large investment universe.

BIG-bench Machine Learning