no code implementations • 27 Apr 2023 • Pietro Barbiero, Stefano Fioravanti, Francesco Giannini, Alberto Tonda, Pietro Lio, Elena Di Lavore
Explainable AI (XAI) aims to address the human need for safe and reliable AI systems.
1 code implementation • 27 Apr 2023 • Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio', Frederic Precioso, Mateja Jamnik, Giuseppe Marra
Deep learning methods are highly accurate, yet their opaque decision process prevents them from earning full human trust.
no code implementations • 21 Dec 2022 • Soumita Das, Bijita Singha, Alberto Tonda, Anupam Biswas
Nature-inspired optimization Algorithms (NIOAs) are nowadays a popular choice for community detection in social networks.
1 code implementation • 28 Jun 2020 • Pietro Barbiero, Giovanni Squillero, Alberto Tonda
As machine learning becomes more and more available to the general public, theoretical questions are turning into pressing practical issues.
1 code implementation • Artificial Evolution 2020 • Pietro Barbiero, Evelyne Lutton, Giovanni Squillero, Alberto Tonda
We thus propose a multi-objective optimization approach to feature selection, EvoFS, with the objectives to i. minimize feature subset size, ii.
1 code implementation • 20 Feb 2020 • Pietro Barbiero, Giovanni Squillero, Alberto Tonda
A coreset is a subset of the training set, using which a machine learning algorithm obtains performances similar to what it would deliver if trained over the whole original data.
Ranked #1 on Core set discovery on MNIST