Francesco Spinnato

25 papers A 1B 5Journal 15Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
An Explainable Failure Prediction Framework for Neural Networks in Radio Access Networks.
CoRR
Khaleda Papry, Francesco Spinnato, Marco Fiore, Mirco Nanni, Israat Haque
2026 — conf
Realistic Counterfactual Explanations for Clinical AI-decision Aid on Computed Tomography for Adaptive Radiotherapy.
HICSS
Luca Mira Heising, Carol Ou, Frank Verhaegen, Cecile J. A. Wolfs, Martina Cinquini, Francesco Spinnato, Maria Jacobs, Riccardo Guidotti
2025 A conf
An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items.
ECAI
Luca Corbucci, Javier Alejandro Borges Legrottaglie, Francesco Spinnato, Anna Monreale, Riccardo Guidotti
2025 J jnl
An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items.
CoRR
Luca Corbucci, Javier Alejandro Borges Legrottaglie, Francesco Spinnato, Anna Monreale, Riccardo Guidotti
2025 — conf
MASCOTS: Model-Agnostic Symbolic COunterfactual Explanations for Time Series.
ECML/PKDD (4)
Dawid Pludowski, Francesco Spinnato, Piotr Wilczynski, Krzysztof Kotowski, Evridiki Vasileia Ntagiou, Riccardo Guidotti, Przemyslaw Biecek
2025 J jnl
MASCOTS: Model-Agnostic Symbolic COunterfactual explanations for Time Series.
CoRR
Dawid Pludowski, Francesco Spinnato, Piotr Wilczynski, Krzysztof Kotowski, Evridiki Vasileia Ntagiou, Riccardo Guidotti, Przemyslaw Biecek
2025 J jnl
Modeling events and interactions through temporal processes: A survey.
Neurocomputing
Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama
2025 J jnl
PYRREGULAR: A Unified Framework for Irregular Time Series, with Classification Benchmarks.
CoRR
Francesco Spinnato, Cristiano Landi
2025 J jnl
Towards Piece-by-Piece Explanations for Chess Positions with SHAP.
CoRR
Francesco Spinnato
2025 J jnl
Towards the Formalization of a Trustworthy AI for Mining Interpretable Models explOiting Sophisticated Algorithms.
CoRR
Riccardo Guidotti, Martina Cinquini, Marta Marchiori Manerba, Mattia Setzu, Francesco Spinnato
2024 J jnl
Drifting explanations in continual learning.
Neurocomputing
Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
2024 B conf
Enhancing Echo State Networks with Gradient-based Explainability Methods.
ESANN
Francesco Spinnato, Andrea Cossu, Riccardo Guidotti, Andrea Ceni, Claudio Gallicchio, Davide Bacciu
2024 J jnl
Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields.
IEEE Access
Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
2024 — conf
Multivariate Asynchronous Shapelets for Imbalanced Car Crash Predictions.
DS (1)
Mario Bianchi, Francesco Spinnato, Riccardo Guidotti, Daniele Maccagnola, Antonio Bencini Farina
2024 J jnl
Understanding Any Time Series Classifier with a Subsequence-based Explainer.
ACM Trans. Knowl. Discov. Data
Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni, Dino Pedreschi, Fosca Giannotti
2023 J jnl
A Bag of Receptive Fields for Time Series Extrinsic Predictions.
CoRR
Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
2023 B conf
A Protocol for Continual Explanation of SHAP.
ESANN
Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
2023 J jnl
A Protocol for Continual Explanation of SHAP.
CoRR
Andrea Cossu, Francesco Spinnato, Riccardo Guidotti, Davide Bacciu
2023 J jnl
An Explanation that LASTS: Understanding Any Time Series Classifier.
ERCIM News
Francesco Spinnato, Riccardo Guidotti, Anna Monreale
2023 B conf
Geolet: An Interpretable Model for Trajectory Classification.
IDA
Cristiano Landi, Francesco Spinnato, Riccardo Guidotti, Anna Monreale, Mirco Nanni
2023 J jnl
Modeling Events and Interactions through Temporal Processes - A Survey.
CoRR
Angelica Liguori, Luciano Caroprese, Marco Minici, Bruno Veloso, Francesco Spinnato, Mirco Nanni, Giuseppe Manco, João Gama
2023 B conf
Text to Time Series Representations: Towards Interpretable Predictive Models.
DS
Mattia Poggioli, Francesco Spinnato, Riccardo Guidotti
2022 J jnl
Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions.
IEEE Access
Andreas Theissler, Francesco Spinnato, Udo Schlegel, Riccardo Guidotti
2022 B conf
Explaining Crash Predictions on Multivariate Time Series Data.
DS
Francesco Spinnato, Riccardo Guidotti, Mirco Nanni, Daniele Maccagnola, Giulia Paciello, Antonio Bencini Farina
2020 — conf
Explaining Any Time Series Classifier.
CogMI
Riccardo Guidotti, Anna Monreale, Francesco Spinnato, Dino Pedreschi, Fosca Giannotti