Francesco Spinnato

According to our database, Francesco Spinnato authored at least 22 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

An Explainable Failure Prediction Framework for Neural Networks in Radio Access Networks.

Khaleda Papry, Francesco Spinnato, Marco Fiore, Mirco Nanni, Israat Haque

CoRR, February, 2026

Realistic Counterfactual Explanations for Clinical AI-decision Aid on Computed Tomography for Adaptive Radiotherapy.

Luca Mira Heising, Carol Ou, Frank Verhaegen, Cecile J. A. Wolfs, Martina Cinquini, Francesco Spinnato, Maria Jacobs, Riccardo Guidotti

Proceedings of the 59th Hawaii International Conference on System Sciences, 2026

2025

Towards Piece-by-Piece Explanations for Chess Positions with SHAP.

Francesco Spinnato

CoRR, October, 2025

Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms.

Riccardo Guidotti, Martina Cinquini, Marta Marchiori Manerba, Mattia Setzu, Francesco Spinnato

CoRR, October, 2025

PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks.

Francesco Spinnato, Cristiano Landi

CoRR, May, 2025

Modeling events and interactions through temporal processes: A survey.

Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama

Neurocomputing, 2025

MASCOTS: Model-Agnostic Symbolic COunterfactual Explanations for Time Series.

Dawid Pludowski, Francesco Spinnato, Piotr Wilczynski, Krzysztof Kotowski, Evridiki Vasileia Ntagiou, Riccardo Guidotti, Przemyslaw Biecek

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Implicit Neural Decision Trees.

Francesco Spinnato, Antonio Mastropietro, Riccardo Guidotti

Proceedings of the 33rd European Symposium on Artificial Neural Networks, 2025

An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items.

Luca Corbucci, Javier Alejandro Borges Legrottaglie, Francesco Spinnato, Anna Monreale, Riccardo Guidotti

Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024

Understanding Any Time Series Classifier with a Subsequence-based Explainer.

Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni, Dino Pedreschi, Fosca Giannotti

ACM Trans. Knowl. Discov. Data, February, 2024

Drifting explanations in continual learning.

Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu

Neurocomputing, 2024

Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields.

Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni

IEEE Access, 2024

Enhancing Echo State Networks with Gradient-based Explainability Methods.

Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

Multivariate Asynchronous Shapelets for Imbalanced Car Crash Predictions.

Mario Bianchi, Francesco Spinnato, Riccardo Guidotti, Daniele Maccagnola, Antonio Bencini Farina

Proceedings of the Discovery Science - 27th International Conference, 2024

2023

An Explanation that LASTS: Understanding Any Time Series Classifier.

Francesco Spinnato, Riccardo Guidotti, Anna Monreale

ERCIM News, 2023

A Bag of Receptive Fields for Time Series Extrinsic Predictions.

Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni

CoRR, 2023

Geolet: An Interpretable Model for Trajectory Classification.

Cristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

A Protocol for Continual Explanation of SHAP.

Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Text to Time Series Representations: Towards Interpretable Predictive Models.

Mattia Poggioli, Francesco Spinnato, Riccardo Guidotti

Proceedings of the Discovery Science - 26th International Conference, 2023

2022

Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions.

Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti

IEEE Access, 2022

Explaining Crash Predictions on Multivariate Time Series Data.

Francesco Spinnato, Riccardo Guidotti, Mirco Nanni, Daniele Maccagnola, Giulia Paciello, Antonio Bencini Farina

Proceedings of the Discovery Science - 25th International Conference, 2022

2020

Explaining Any Time Series Classifier.

Riccardo Guidotti, Anna Monreale, Francesco Spinnato, Dino Pedreschi, Fosca Giannotti

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020