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Francesco Spinnato
Francesco Spinnato
Data Science Phd, Research Fellow at University of Pisa
在 di.unipi.it 的电子邮件经过验证
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引用次数
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Explainable AI for time series classification: a review, taxonomy and research directions
A Theissler, F Spinnato, U Schlegel, R Guidotti
Ieee Access 10, 100700-100724, 2022
1152022
Explaining any time series classifier
R Guidotti, A Monreale, F Spinnato, D Pedreschi, F Giannotti
2020 IEEE second international conference on cognitive machine intelligence …, 2020
532020
Geolet: An Interpretable Model for Trajectory Classification
C Landi, F Spinnato, R Guidotti, A Monreale, M Nanni
International Symposium on Intelligent Data Analysis, 236-248, 2023
42023
Understanding Any Time Series Classifier with a Subsequence-based Explainer
F Spinnato, R Guidotti, A Monreale, M Nanni, D Pedreschi, F Giannotti
ACM Transactions on Knowledge Discovery from Data 18 (2), 1-34, 2023
32023
Modeling Events and Interactions through Temporal Processes--A Survey
A Liguori, L Caroprese, M Minici, B Veloso, F Spinnato, M Nanni, ...
arXiv preprint arXiv:2303.06067, 2023
32023
Explaining crash predictions on multivariate time series data
F Spinnato, R Guidotti, M Nanni, D Maccagnola, G Paciello, AB Farina
International Conference on Discovery Science, 556-566, 2022
22022
Enhancing Echo State Networks with Gradient-based Explainability Methods
F Spinnato, A Cossu, R Guidotti, A Ceni, C Gallicchio, D Bacciu
ESANN, 2024
12024
A Protocol for Continual Explanation of SHAP
A Cossu, F Spinnato, R Guidotti, D Bacciu
arXiv preprint arXiv:2306.07218, 2023
12023
Fast, Interpretable and Deterministic Time Series Classification with a Bag-Of-Receptive-Fields
F Spinnato, R Guidotti, A Monreale, M Nanni
IEEE Access, 2024
2024
Drifting explanations in continual learning
A Cossu, F Spinnato, R Guidotti, D Bacciu
Neurocomputing, 127960, 2024
2024
A Bag of Receptive Fields for Time Series Extrinsic Predictions
F Spinnato, R Guidotti, A Monreale, M Nanni
arXiv preprint arXiv:2311.18029, 2023
2023
Text to Time Series Representations: Towards Interpretable Predictive Models
M Poggioli, F Spinnato, R Guidotti
International Conference on Discovery Science, 230-245, 2023
2023
An Explanation that LASTS: Understanding Any Time Series Classifier.
F Spinnato, R Guidotti, A Monreale
ERCIM News 2023 (134), 2023
2023
A Model Agnostic Local Explainer for Time Series Black-Box Classifiers
F SPINNATO
2020
UNIVERSITA DI PISA
R Guidotti, F Spinnato, M Poggioli
Stima indiretta del Pil mensile italiano: procedure statistiche e primi risultati
F Spinnato
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