GUIDOTTI, RICCARDO
GUIDOTTI, RICCARDO
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification
2024 Metta, C.; Beretta, A.; Guidotti, R.; Yin, Y.; Gallinari, P.; Rinzivillo, S.; Giannotti, F.
Data-agnostic pivotal instances selection for decision-making models
2024 Cascione, A.; Setzu, M.; Guidotti, R.
Explaining Siamese networks in few-shot learning
2024 Fedele, A.; Guidotti, R.; Pedreschi, D.
Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields
2024 Spinnato, Francesco; Guidotti, Riccardo; Monreale, Anna; Nanni, Mirco
Generative model for decision trees
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
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
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, A.; Guidotti, R.; Pedreschi, D.
Exploiting auto-encoders for explaining black-box classifiers
2022 Guidotti, R.
Interpretable latent space to enable counterfactual explanations
2022 Bodria, F.; Guidotti, R.; Giannotti, F.; Pedreschi, D.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification | 1-gen-2024 | Metta, C.; Beretta, A.; Guidotti, R.; Yin, Y.; Gallinari, P.; Rinzivillo, S.; Giannotti, F. | |
| 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. | |
| Fast, Interpretable, and Deterministic Time Series Classification With a Bag-of-Receptive-Fields | 1-gen-2024 | Spinnato, Francesco; Guidotti, Riccardo; Monreale, Anna; Nanni, Mirco | |
| 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, 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 | |
| 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, 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. |