Leonardo Arrighi

According to our database, Leonardo Arrighi authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

On the Properties of Feature Attribution for Supervised Contrastive Learning.

Leonardo Arrighi, Julia Eva Belloni, Aurélie Gallet, Ivan Gentile, Matteo Lippi, Marco Zullich

CoRR, April, 2026

Explaining AutoClustering: Uncovering Meta-Feature Contribution in AutoML for Clustering.

Matheus Camilo da Silva, Leonardo Arrighi, Ana Carolina Lorena, Sylvio Barbon Junior

CoRR, February, 2026

2025

Explainable Artificial Intelligence techniques for interpretation of food datasets: a review.

Leonardo Arrighi, Ingrid Alves de Moraes, Marco Zullich, Michele Simonato, Douglas Fernandes Barbin, Sylvio Barbon Junior

CoRR, April, 2025

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest.

Matteo Ceschin, Leonardo Arrighi, Luca Longo, Sylvio Barbon Junior

Proceedings of the Explainable Artificial Intelligence, 2025

End-to-end explainability of machine learning pipelines with decision predicate graphs: a financial scenario case study.

Leonardo Arrighi, Matheus Camilo da Silva, Sylvio Barbon Junior

Proceedings of the Joint Proceedings of the Thematic Workshops at Ital-IA 2025 colocated with the 5th National Conference on Artificial Intelligence, 2025

Discriminating Short-Term Moisture Changes in Stuffed Pasta Using Deep Computer Vision.

Leonardo Arrighi, Ingrid Alves de Moraes, Michele Simonato, Sylvio Barbon Junior

Proceedings of the Image Analysis and Processing - ICIAP 2025 Workshops, 2025

2024

Decision Predicate Graphs: Enhancing Interpretability in Tree Ensembles.

Leonardo Arrighi, Luca Pennella, Gabriel Marques Tavares, Sylvio Barbon Junior

Proceedings of the Explainable Artificial Intelligence, 2024

2023

Explainable Automated Anomaly Recognition in Failure Analysis: is Deep Learning Doing it Correctly?

Leonardo Arrighi, Sylvio Barbon Junior, Felice Andrea Pellegrino, Michele Simonato, Marco Zullich

Proceedings of the Explainable Artificial Intelligence, 2023