1 code implementation • 29 Jan 2024 • Agathe Fernandes Machado, François Hu, Philipp Ratz, Ewen Gallic, Arthur Charpentier
Driven by an increasing prevalence of trackers, ever more IoT sensors, and the declining cost of computing power, geospatial information has come to play a pivotal role in contemporary predictive models.
no code implementations • 31 Oct 2023 • François Hu, Philipp Ratz, Arthur Charpentier
Algorithmic fairness has gained prominence due to societal and regulatory concerns about biases in Machine Learning models.
1 code implementation • 12 Sep 2023 • François Hu, Philipp Ratz, Arthur Charpentier
Our approach seamlessly extends to approximate fairness, enveloping a framework accommodating the trade-off between risk and unfairness.
1 code implementation • 22 Aug 2023 • Philipp Ratz, François Hu, Arthur Charpentier
Ensuring trust and accountability in Artificial Intelligence systems demands explainability of its outcomes.
1 code implementation • 22 Jun 2023 • Arthur Charpentier, François Hu, Philipp Ratz
Given that such discrimination can often be attributed to historical data biases, an elimination or at least mitigation is desirable.
1 code implementation • 16 Jun 2023 • François Hu, Philipp Ratz, Arthur Charpentier
Algorithmic Fairness is an established field in machine learning that aims to reduce biases in data.
1 code implementation • 14 May 2022 • Philipp Ratz
Artificial Neural Networks (ANN) have been employed for a range of modelling and prediction tasks using financial data.
1 code implementation • 5 Jul 2021 • Arthur Charpentier, Lariosse Kouakou, Matthias Löwe, Philipp Ratz, Franck Vermet
In this paper, describe and analyse such a P2P product, with some reciprocal risk sharing contracts.