Explaining Any Time Series Classifier. - Riccardo Guidotti; Anna Monreale; Francesco Spinnato; Dino Pedreschi; Fosca Giannotti (CogMI, 2020)

Explaining Crash Predictions on Multivariate Time Series Data. - Francesco Spinnato; Riccardo Guidotti; Mirco Nanni; Daniele Maccagnola; Giulia Paciello; Antonio Bencini Farina (DS, 2022)

Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions. - Andreas Theissler; Francesco Spinnato; Udo Schlegel; Riccardo Guidotti (IEEE Access, 2022)

Text to Time Series Representations: Towards Interpretable Predictive Models. - Mattia Poggioli; Francesco Spinnato; Riccardo Guidotti (DS, 2023)

A Protocol for Continual Explanation of SHAP. - Andrea Cossu; Francesco Spinnato; Riccardo Guidotti; Davide Bacciu (ESANN, 2023)

Geolet: An Interpretable Model for Trajectory Classification. - Cristiano Landi; Francesco Spinnato; Riccardo Guidotti; Anna Monreale; Mirco Nanni (IDA, 2023)

A Bag of Receptive Fields for Time Series Extrinsic Predictions. - Francesco Spinnato; Riccardo Guidotti; Anna Monreale; Mirco Nanni (CoRR, 2023)

An Explanation that LASTS: Understanding Any Time Series Classifier. - Francesco Spinnato; Riccardo Guidotti; Anna Monreale (ERCIM News, 2023)

Multivariate Asynchronous Shapelets for Imbalanced Car Crash Predictions. - Mario Bianchi; Francesco Spinnato; Riccardo Guidotti; Daniele Maccagnola; Antonio Bencini Farina (DS (1), 2024)

Enhancing Echo State Networks with Gradient-based Explainability Methods. - Francesco Spinnato; Andrea Cossu; Riccardo Guidotti; Andrea Ceni; Claudio Gallicchio; Davide Bacciu (ESANN, 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)

Drifting explanations in continual learning. - Andrea Cossu; Francesco Spinnato; Riccardo Guidotti; Davide Bacciu (Neurocomputing, 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, 2024)

Modeling events and interactions through temporal processes: A survey. - Angelica Liguori; Luciano Caroprese; Marco Minici; Bruno Veloso; Francesco Spinnato; Mirco Nanni; Giuseppe Manco 001; João Gama 001 (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 (CoRR, 2025)

PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks. - Francesco Spinnato; Cristiano Landi (CoRR, 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 (CoRR, 2025)