Filippo Neri

Mapping Learning Algorithms on Data, a Useful Step for Optimizing Performances and Their Comparison

2024 · Journal of Computer Science

In this paper, we propose a novel methodology to map learning algorithms on data (performance map) in order to gain more insights into the distribution of their performances across their parameter space. This methodology provides …

Explainability and Interpretability in Decision Trees and Agent Based Modelling When Approximating Financial Time Series. A Matter of Balance with Performance

2023

The paper discusses the notions of explainability and interpretability when using decision tree learning and agent based modeling to approximate financial time series. And how they related to the selected learning algorithm. As experimental context, …