Search Results for author: Alberto Veneri

Found 2 papers, 1 papers with code

A Theoretical Framework for AI Models Explainability with Application in Biomedicine

no code implementations • 29 Dec 2022 • Matteo Rizzo, Alberto Veneri, Andrea Albarelli, Claudio Lucchese, Marco Nobile, Cristina Conati

EXplainable Artificial Intelligence (XAI) is a vibrant research topic in the artificial intelligence community, with growing interest across methods and domains.

Decision Making Explainable artificial intelligence +1

Paper
Add Code

ILMART: Interpretable Ranking with Constrained LambdaMART

1 code implementation • 1 Jun 2022 • Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Alberto Veneri

Interpretable Learning to Rank (LtR) is an emerging field within the research area of explainable AI, aiming at developing intelligible and accurate predictive models.

Learning-To-Rank

Paper
Code

Cannot find the paper you are looking for? You can Submit a new open access paper.