GUIDOTTI, RICCARDO
GUIDOTTI, RICCARDO
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
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
2023 Corbucci L.; Guidotti R.; Monreale A.
Geolet: an interpretable model for trajectory classification
2023 Landi C.; Spinnato F.; Guidotti R.; Monreale A.; Nanni M.
Handling missing values in local post-hoc explainability
2023 Cinquini M.; Giannotti F.; Guidotti R.; Mattei A.
Interpretable data partitioning through tree-based clustering methods
2023 Guidotti R.; Landi C.; Beretta A.; Fadda D.; Nanni M.
Solving imbalanced learning with outlier detection and features reduction
2023 Lusito S.; Pugnana A.; Guidotti R.
Text to time series representations: towards interpretable predictive models
2023 Poggioli, M; Spinnato, F; Guidotti, R
Bias Discovery Within Human Raters: A Case Study of the Jigsaw Dataset
2022 Manerba, Marta Marchiori; Guidotti, Riccardo; Passaro, Lucia; Ruggieri, Salvatore
City indicators for geographical transfer learning: an application to crash prediction
2022 Nanni, M; Guidotti, R; Bonavita, A; Alamdari, Oi
Counterfactual explanations and how to find them: literature review and benchmarking
2022 Guidotti; Riccardo
Effect of Different Encodings and Distance Functions on Quantum Instance-Based Classifiers
2022 Berti, Alessandro; Bernasconi, Anna; Del Corso Gianna, M; Guidotti, Riccardo
Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions
2022 Theissler, Andreas; Spinnato, Francesco; Schlegel, Udo; Guidotti, Riccardo
Explaining short text classification with diverse synthetic exemplars and counter-exemplars
2022 Lampridis, O; State, L; Guidotti, R; Ruggieri, S
Explaining Siamese Networks in Few-Shot Learning for Audio Data
2022 Fedele, Andrea; Guidotti, Riccardo; Pedreschi, Dino
Exploiting auto-encoders for explaining black-box classifiers
2022 Guidotti, Riccardo; Guidotti, Riccardo
Interpretable Latent Space to Enable Counterfactual Explanations
2022 Bodria, Francesco; Guidotti, Riccardo; Giannotti, Fosca; Pedreschi, Dino
Investigating Debiasing Effects on Classification and Explainability
2022 Manerba Marta, Marchiori; Guidotti, Riccardo
Stable and actionable explanations of black-box models through factual and counterfactual rules
2022 Guidotti, Riccardo; Monreale, Anna; Ruggieri, Salvatore; Naretto, Francesca; Turini, Franco; Pedreschi, Dino; Giannotti, Fosca
Transparent Latent Space Counterfactual Explanations for Tabular Data
2022 Bodria, Francesco; Guidotti, Riccardo; Giannotti, Fosca; Pedreschi, Dino
Uncovering Student Temporal Learning Patterns
2022 Rotelli, Daniela; Monreale, Anna; Guidotti, Riccardo
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| 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, Marta Marchiori; Guidotti, Riccardo; Passaro, Lucia; Ruggieri, Salvatore | |
| City indicators for geographical transfer learning: an application to crash prediction | 1-gen-2022 | Nanni, M; Guidotti, R; Bonavita, A; Alamdari, Oi | |
| Counterfactual explanations and how to find them: literature review and benchmarking | 1-gen-2022 | Guidotti; Riccardo | |
| Effect of Different Encodings and Distance Functions on Quantum Instance-Based Classifiers | 1-gen-2022 | Berti, Alessandro; Bernasconi, Anna; Del Corso Gianna, M; Guidotti, Riccardo | |
| Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions | 1-gen-2022 | Theissler, Andreas; Spinnato, Francesco; Schlegel, Udo; Guidotti, Riccardo | |
| 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, Andrea; Guidotti, Riccardo; Pedreschi, Dino | |
| Exploiting auto-encoders for explaining black-box classifiers | 1-gen-2022 | Guidotti, Riccardo; Guidotti, Riccardo | |
| Interpretable Latent Space to Enable Counterfactual Explanations | 1-gen-2022 | Bodria, Francesco; Guidotti, Riccardo; Giannotti, Fosca; Pedreschi, Dino | |
| Investigating Debiasing Effects on Classification and Explainability | 1-gen-2022 | Manerba Marta, Marchiori; Guidotti, Riccardo | |
| Stable and actionable explanations of black-box models through factual and counterfactual rules | 1-gen-2022 | Guidotti, Riccardo; Monreale, Anna; Ruggieri, Salvatore; Naretto, Francesca; Turini, Franco; Pedreschi, Dino; Giannotti, Fosca | |
| Transparent Latent Space Counterfactual Explanations for Tabular Data | 1-gen-2022 | Bodria, Francesco; Guidotti, Riccardo; Giannotti, Fosca; Pedreschi, Dino | |
| Uncovering Student Temporal Learning Patterns | 1-gen-2022 | Rotelli, Daniela; Monreale, Anna; Guidotti, Riccardo |