Francesco Spinnato

According to our database, Francesco Spinnato authored at least 12 papers between 2020 and 2024.

Collaborative distances:

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

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

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

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

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