SPINNATO, FRANCESCO Statistiche
SPINNATO, FRANCESCO
DIPARTIMENTO DI INFORMATICA
An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items
2025-01-01 Corbucci, Luca; Borges Legrottaglie, Javier Alejandro; Spinnato, Francesco; Monreale, Anna; Guidotti, Riccardo
Implicit Neural Decision Trees
2025-01-01 Spinnato, Francesco; Mastropietro, Antonio; Guidotti, Riccardo
MASCOTS: Model-Agnostic Symbolic COunterfactual Explanations for Time Series
2025-01-01 Płudowski, Dawid; Spinnato, Francesco; Wilczyński, Piotr; Kotowski, Krzysztof; Ntagiou, Evridiki Vasileia; Guidotti, Riccardo; Biecek, Przemysław
Modeling events and interactions through temporal processes: A survey
2025-01-01 Liguori, Angelica; Caroprese, Luciano; Minici, Marco; Veloso, Bruno; Spinnato, Francesco; Nanni, Mirco; Manco, Giuseppe; Gama, João
Multivariate Asynchronous Shapelets for Imbalanced Car Crash Predictions
2025-01-01 Bianchi, Mario; Spinnato, Francesco; Guidotti, Riccardo; Maccagnola, Daniele; Bencini Farina, Antonio
Drifting explanations in continual learning
2024-01-01 Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide
Enhancing Echo State Networks with Gradient-based Explainability Methods
2024-01-01 Spinnato, Francesco; Cossu, Andrea; Guidotti, Riccardo; Ceni, Andrea; Gallicchio, Claudio; Bacciu, Davide
Fast, Interpretable and Deterministic Time Series Classification with a Bag-Of-Receptive-Fields
2024-01-01 Spinnato, F.; Guidotti, R.; Monreale, A.; Nanni, M.
A Protocol for Continual Explanation of SHAP
2023-01-01 Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide
Text to Time Series Representations: Towards Interpretable Predictive Models
2023-01-01 Poggioli, M.; Spinnato, F.; Guidotti, R.
Understanding Any Time Series Classifier with a Subsequence-based Explainer
2023-01-01 Spinnato, F; Guidotti, R; Monreale, A; Nanni, M; Pedreschi, D; Giannotti, F
Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions
2022-01-01 Theissler, A.; Spinnato, F.; Schlegel, U.; Guidotti, R.
Explaining Crash Predictions on Multivariate Time Series Data
2022-01-01 Spinnato, F.; Guidotti, R.; Nanni, M.; Maccagnola, D.; Paciello, G.; Farina, A. B.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| An Interpretable Data-Driven Unsupervised Approach for the Prevention of Forgotten Items | 1-gen-2025 | Corbucci, Luca; Borges Legrottaglie, Javier Alejandro; Spinnato, Francesco; Monreale, Anna; Guidotti, Riccardo | |
| Implicit Neural Decision Trees | 1-gen-2025 | Spinnato, Francesco; Mastropietro, Antonio; Guidotti, Riccardo | |
| MASCOTS: Model-Agnostic Symbolic COunterfactual Explanations for Time Series | 1-gen-2025 | Płudowski, Dawid; Spinnato, Francesco; Wilczyński, Piotr; Kotowski, Krzysztof; Ntagiou, Evridiki Vasileia; Guidotti, Riccardo; Biecek, Przemysław | |
| Modeling events and interactions through temporal processes: A survey | 1-gen-2025 | Liguori, Angelica; Caroprese, Luciano; Minici, Marco; Veloso, Bruno; Spinnato, Francesco; Nanni, Mirco; Manco, Giuseppe; Gama, João | |
| Multivariate Asynchronous Shapelets for Imbalanced Car Crash Predictions | 1-gen-2025 | Bianchi, Mario; Spinnato, Francesco; Guidotti, Riccardo; Maccagnola, Daniele; Bencini Farina, Antonio | |
| Drifting explanations in continual learning | 1-gen-2024 | Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide | |
| Enhancing Echo State Networks with Gradient-based Explainability Methods | 1-gen-2024 | Spinnato, Francesco; Cossu, Andrea; Guidotti, Riccardo; Ceni, Andrea; Gallicchio, Claudio; Bacciu, Davide | |
| Fast, Interpretable and Deterministic Time Series Classification with a Bag-Of-Receptive-Fields | 1-gen-2024 | Spinnato, F.; Guidotti, R.; Monreale, A.; Nanni, M. | |
| A Protocol for Continual Explanation of SHAP | 1-gen-2023 | Cossu, Andrea; Spinnato, Francesco; Guidotti, Riccardo; Bacciu, Davide | |
| Text to Time Series Representations: Towards Interpretable Predictive Models | 1-gen-2023 | Poggioli, M.; Spinnato, F.; Guidotti, R. | |
| Understanding Any Time Series Classifier with a Subsequence-based Explainer | 1-gen-2023 | Spinnato, F; Guidotti, R; Monreale, A; Nanni, M; Pedreschi, D; Giannotti, F | |
| Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions | 1-gen-2022 | Theissler, A.; Spinnato, F.; Schlegel, U.; Guidotti, R. | |
| Explaining Crash Predictions on Multivariate Time Series Data | 1-gen-2022 | Spinnato, F.; Guidotti, R.; Nanni, M.; Maccagnola, D.; Paciello, G.; Farina, A. B. |