GUIDOTTI, RICCARDO Statistiche
GUIDOTTI, RICCARDO
DIPARTIMENTO DI INFORMATICA
Benchmarking and survey of explanation methods for black box models
2023-01-01 Bodria, F; Giannotti, F; Guidotti, R; Naretto, F; Pedreschi, D; Rinzivillo, S
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023-01-01 Ali, Sajid; Abuhmed, Tamer; El-Sappagh, Shaker; Muhammad, Khan; Alonso-Moral, Jose M.; Confalonieri, Roberto; Guidotti, Riccardo; Ser, Javier Del; Díaz-Rodríguez, Natalia; Herrera, Francisco
Geolet: An Interpretable Model for Trajectory Classification
2023-01-01 Landi, C.; Spinnato, F.; Guidotti, R.; Monreale, A.; Nanni, M.
Bias Discovery within Human Raters: A Case Study of the Jigsaw Dataset
2022-01-01 MARCHIORI MANERBA, Marta; Guidotti, Riccardo; Passaro, Lucia; Ruggieri, Salvatore
City indicators for geographical transfer learning: an application to crash prediction
2022-01-01 Nanni, Mirco; Guidotti, Riccardo; Bonavita, Agnese; Isfahani Alamdari, Omid
Clustering Classical Data with Quantum k-Means
2022-01-01 Poggiali, A.; Berti, A.; Bernasconi, A.; Del Corso, G. M.; Guidotti, R.
Counterfactual explanations and how to find them: literature review and benchmarking
2022-01-01 Guidotti, Riccardo
Effect of Different Encodings and Distance Functions on Quantum Instance-based Classifiers
2022-01-01 Berti, Alessandro; Bernasconi, Anna; Del Corso, Gianna M.; Guidotti, Riccardo
Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers
2022-01-01 Metta, C.; Guidotti, R.; Yin, Y.; Gallinari, P.; Rinzivillo, S.
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.
Explaining short text classification with diverse synthetic exemplars and counter-exemplars
2022-01-01 Lampridis, O.; State, L.; Guidotti, R.; Ruggieri, S.
Explaining Siamese Networks in Few-Shot Learning for Audio Data
2022-01-01 Fedele, A.; Guidotti, R.; Pedreschi, D.
Exploiting auto-encoders for explaining black-box classifiers
2022-01-01 Guidotti, R.
Interpretable Latent Space to Enable Counterfactual Explanations
2022-01-01 Bodria, F.; Guidotti, R.; Giannotti, F.; Pedreschi, D.
Investigating Debiasing Effects on Classification and Explainability
2022-01-01 Manerba, M. M.; Guidotti, R.
Stable and actionable explanations of black-box models through factual and counterfactual rules
2022-01-01 Guidotti, R; Monreale, A; Ruggieri, S; Naretto, F; Turini, F; Pedreschi, D; Giannotti, F
Transparent Latent Space Counterfactual Explanations for Tabular Data
2022-01-01 Bodria, F; Guidotti, R; Giannotti, F; Pedreschi, D
Uncovering Student Temporal Learning Patterns
2022-01-01 Rotelli, D.; Monreale, A.; Guidotti, R.
XAI.it 2022 - Preface to the Third Italian Workshop on Explainable Artificial Intelligence
2022-01-01 Musto, C.; Guidotti, R.; Monreale, A.; Semeraro, G.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Benchmarking and survey of explanation methods for black box models | 1-gen-2023 | Bodria, F; Giannotti, F; Guidotti, R; Naretto, F; Pedreschi, D; Rinzivillo, S | |
| Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence | 1-gen-2023 | Ali, Sajid; Abuhmed, Tamer; El-Sappagh, Shaker; Muhammad, Khan; Alonso-Moral, Jose M.; Confalonieri, Roberto; Guidotti, Riccardo; Ser, Javier Del; Díaz-Rodríguez, Natalia; Herrera, Francisco | |
| Geolet: An Interpretable Model for Trajectory Classification | 1-gen-2023 | Landi, C.; Spinnato, F.; Guidotti, R.; Monreale, A.; Nanni, M. | |
| Bias Discovery within Human Raters: A Case Study of the Jigsaw Dataset | 1-gen-2022 | MARCHIORI MANERBA, Marta; Guidotti, Riccardo; Passaro, Lucia; Ruggieri, Salvatore | |
| City indicators for geographical transfer learning: an application to crash prediction | 1-gen-2022 | Nanni, Mirco; Guidotti, Riccardo; Bonavita, Agnese; Isfahani Alamdari, Omid | |
| Clustering Classical Data with Quantum k-Means | 1-gen-2022 | Poggiali, A.; Berti, A.; Bernasconi, A.; Del Corso, G. M.; Guidotti, R. | |
| 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 | |
| Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers | 1-gen-2022 | Metta, C.; Guidotti, R.; Yin, Y.; Gallinari, P.; Rinzivillo, S. | |
| 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. | |
| 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 | Manerba, M. 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 | |
| Transparent Latent Space Counterfactual Explanations for Tabular Data | 1-gen-2022 | Bodria, F; Guidotti, R; Giannotti, F; Pedreschi, D | |
| Uncovering Student Temporal Learning Patterns | 1-gen-2022 | Rotelli, D.; Monreale, A.; Guidotti, R. | |
| XAI.it 2022 - Preface to the Third Italian Workshop on Explainable Artificial Intelligence | 1-gen-2022 | Musto, C.; Guidotti, R.; Monreale, A.; Semeraro, G. |