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GUIDOTTI, RICCARDO

GUIDOTTI, RICCARDO  

Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI  

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Risultati 1 - 20 di 89 (tempo di esecuzione: 0.036 secondi).
Titolo Data di pubblicazione Autore(i) File
Data-agnostic pivotal instances selection for decision-making models 1-gen-2024 Cascione, A.; Setzu, M.; Guidotti, R.
Explaining Siamese networks in few-shot learning 1-gen-2024 Fedele, A.; Guidotti, R.; Pedreschi, D.
Generative model for decision trees 1-gen-2024 Guidotti, R.; Monreale, A.; Setzu, M.; Volpi, G.
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence 1-gen-2023 Ali, Sajid; Abuhmed, Tamer; Elsappagh, Shaker; Muhammad, Khan; AlonsoMoral Jose, M; Confalonieri, Roberto; Guidotti, Riccardo; Del Ser, Javier; Díazrodríguez, Natalia; Herrera, Francisco
Explaining black-boxes in federated learning 1-gen-2023 Corbucci, L; Guidotti, R; Monreale, A
Geolet: an interpretable model for trajectory classification 1-gen-2023 Landi, C; Spinnato, F; Guidotti, R; Monreale, A; Nanni, M
Handling missing values in local post-hoc explainability 1-gen-2023 Cinquini, M; Giannotti, F; Guidotti, R; Mattei, A
Interpretable data partitioning through tree-based clustering methods 1-gen-2023 Guidotti R.; Landi C.; Beretta A.; Fadda D.; Nanni M.
Solving imbalanced learning with outlier detection and features reduction 1-gen-2023 Lusito S.; Pugnana A.; Guidotti R.
Text to time series representations: towards interpretable predictive models 1-gen-2023 Poggioli, M; Spinnato, F; Guidotti, R
Bias discovery within human raters: a case study of the Jigsaw dataset 1-gen-2022 Manerba Marchiori, M.; Guidotti, R.; Passaro, L.; Ruggieri, S.
City indicators for geographical transfer learning: an application to crash prediction 1-gen-2022 Nanni, M; Guidotti, R; Bonavita, A; Alamdari, Oi
Effect of different encodings and distance functions on quantum instance-based classifiers 1-gen-2022 Berti, A.; Bernasconi, A.; Del Corso, G. M.; Guidotti, R.
Explainable AI for time series classification: a review, taxonomy and research directions 1-gen-2022 Theissler, A.; Spinnato, F.; Schlegel, U.; Guidotti, R.
Explaining short text classification with diverse synthetic exemplars and counter-exemplars 1-gen-2022 Lampridis, O; State, L; Guidotti, R; Ruggieri, S
Explaining siamese Networks in few-shot learning for audio data 1-gen-2022 Fedele, A.; Guidotti, R.; Pedreschi, D.
Exploiting auto-encoders for explaining black-box classifiers 1-gen-2022 Guidotti, R.
Interpretable latent space to enable counterfactual explanations 1-gen-2022 Bodria, F.; Guidotti, R.; Giannotti, F.; Pedreschi, D.
Investigating debiasing effects on classification and explainability 1-gen-2022 Marchiori Manerba, M.; Guidotti, R.
Stable and actionable explanations of black-box models through factual and counterfactual rules 1-gen-2022 Guidotti, R.; Monreale, A.; Ruggieri, S.; Naretto, F.; Turini, F.; Pedreschi, D.; Giannotti, F.