RINZIVILLO, SALVATORE
RINZIVILLO, SALVATORE
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Explainable AI in time-sensitive scenarios prefetched offline explanation model
2025 Russo, F. M.; Metta, C.; Monreale, A.; Rinzivillo, S.; Pinelli, F.
Integrating human knowledge for explainable AI
2025 Cappuccio, E.; Kathirgamanathan, B.; Rinzivillo, S.; Andrienko, G.; Andrienko, N.
Interactive visual exploration of latent spaces for explainable ai: bridging concepts and features
2025 Metta, C.; Cappuccio, E.; Rinzivillo, S.
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.
Amplified contribution analysis for federated learning
2024 Zuziak, M. K.; Rinzivillo, S.
An interactive interface for feature space navigation
2024 Cappuccio, E.; Beretta, I.; Marchiori Manerba, M.; Rinzivillo, S.
Exploring large language models capabilities to explain decision trees
2024 Serafim, P. B.; Crescenzi, P.; Gezici, G.; Cappuccio, E.; Rinzivillo, S.; Giannotti, F.
Human-in-the-loop: visual analytics for building models recognizing behavioral patterns in time series
2024 Andrienko, N.; Andrienko, G.; Artikis, A.; Mantenoglou, P.; Rinzivillo, S.
Towards transparent healthcare: advancing local explanation methods in Explainable Artificial Intelligence
2024 Metta, C.; Beretta, A.; Pellungrini, R.; Rinzivillo, S.; Giannotti, F.
XAI in healthcare
2024 Gezici, G.; Metta, C; Beretta, A.; Pellungrini, R.; Rinzivillo, S.; Pedreschi, D.; Giannotti, F.
Benchmarking and survey of explanation methods for black box models
2023 Bodria, F; Giannotti, F; Guidotti, R; Naretto, F; Pedreschi, D; Rinzivillo, S
Co-design of human-centered, explainable AI for clinical decision support
2023 Panigutti, C; Beretta, A; Fadda, D; Giannotti, F; Pedreschi, D; Perotti, A; Rinzivillo, S
Data collaboratives with the use of decentralised learning
2023 Zuziak, M. K.; Hinrichs, O.; Abdrassulova, A.; Rinzivillo, S.
Demo: an interactive visualization combining rule-based and feature importance explanations
2023 Cappuccio, E; Fadda, D; Lanzilotti, R; Rinzivillo, S
EXPHLOT: explainable privacy assessment for human location trajectories
2023 Naretto, F; Pellungrini, R; Rinzivillo, S; Fadda, D
Explainable AI. Introduction to the Special Theme
2023 Veerappa M.; Rinzivillo S.
Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning
2023 Metta, C; Beretta, A; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S; Giannotti, F
Trustworthy AI at KDD Lab
2023 Giannotti, F; Guidotti, R; Monreale, A; Pappalardo, L; Pedreschi, D; Pellungrini, R; Pratesi, F; Rinzivillo, S; Ruggieri, S; Setzu, M; Deluca, R
Exemplars and counterexemplars explanations for skin lesion classifiers
2022 Metta, C; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S
Federated learning as an analytical framework for personal data management – a proposition paper
2022 Zuziak, M.; Rinzivillo, S.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Explainable AI in time-sensitive scenarios prefetched offline explanation model | 1-gen-2025 | Russo, F. M.; Metta, C.; Monreale, A.; Rinzivillo, S.; Pinelli, F. | |
| Integrating human knowledge for explainable AI | 1-gen-2025 | Cappuccio, E.; Kathirgamanathan, B.; Rinzivillo, S.; Andrienko, G.; Andrienko, N. | |
| Interactive visual exploration of latent spaces for explainable ai: bridging concepts and features | 1-gen-2025 | Metta, C.; Cappuccio, E.; Rinzivillo, S. | |
| 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. | |
| Amplified contribution analysis for federated learning | 1-gen-2024 | Zuziak, M. K.; Rinzivillo, S. | |
| An interactive interface for feature space navigation | 1-gen-2024 | Cappuccio, E.; Beretta, I.; Marchiori Manerba, M.; Rinzivillo, S. | |
| Exploring large language models capabilities to explain decision trees | 1-gen-2024 | Serafim, P. B.; Crescenzi, P.; Gezici, G.; Cappuccio, E.; Rinzivillo, S.; Giannotti, F. | |
| Human-in-the-loop: visual analytics for building models recognizing behavioral patterns in time series | 1-gen-2024 | Andrienko, N.; Andrienko, G.; Artikis, A.; Mantenoglou, P.; Rinzivillo, S. | |
| Towards transparent healthcare: advancing local explanation methods in Explainable Artificial Intelligence | 1-gen-2024 | Metta, C.; Beretta, A.; Pellungrini, R.; Rinzivillo, S.; Giannotti, F. | |
| XAI in healthcare | 1-gen-2024 | Gezici, G.; Metta, C; Beretta, A.; Pellungrini, R.; Rinzivillo, S.; Pedreschi, D.; Giannotti, F. | |
| 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 | |
| Co-design of human-centered, explainable AI for clinical decision support | 1-gen-2023 | Panigutti, C; Beretta, A; Fadda, D; Giannotti, F; Pedreschi, D; Perotti, A; Rinzivillo, S | |
| Data collaboratives with the use of decentralised learning | 1-gen-2023 | Zuziak, M. K.; Hinrichs, O.; Abdrassulova, A.; Rinzivillo, S. | |
| Demo: an interactive visualization combining rule-based and feature importance explanations | 1-gen-2023 | Cappuccio, E; Fadda, D; Lanzilotti, R; Rinzivillo, S | |
| EXPHLOT: explainable privacy assessment for human location trajectories | 1-gen-2023 | Naretto, F; Pellungrini, R; Rinzivillo, S; Fadda, D | |
| Explainable AI. Introduction to the Special Theme | 1-gen-2023 | Veerappa M.; Rinzivillo S. | |
| Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning | 1-gen-2023 | Metta, C; Beretta, A; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S; Giannotti, F | |
| Trustworthy AI at KDD Lab | 1-gen-2023 | Giannotti, F; Guidotti, R; Monreale, A; Pappalardo, L; Pedreschi, D; Pellungrini, R; Pratesi, F; Rinzivillo, S; Ruggieri, S; Setzu, M; Deluca, R | |
| Exemplars and counterexemplars explanations for skin lesion classifiers | 1-gen-2022 | Metta, C; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S | |
| Federated learning as an analytical framework for personal data management – a proposition paper | 1-gen-2022 | Zuziak, M.; Rinzivillo, S. |