RINZIVILLO, SALVATORE
RINZIVILLO, SALVATORE
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.
Amplified contribution analysis for federated learning
2024 Zuziak, M. K.; Rinzivillo, S.
Towards Transparent Healthcare: Advancing Local Explanation Methods in Explainable Artificial Intelligence
2024 Metta, C.; Beretta, A.; Pellungrini, R.; Rinzivillo, S.; 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.
Exemplars and counterexemplars explanations for image classifiers, targeting skin lesion labeling
2021 Metta, C; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
2021 Nanni M.; Andrienko G.; Barabasi A.L.; Boldrini C.; Bonchi F.; Cattuto C.; Chiaromonte F.; Comande G.; Conti M.; Cote M.; Dignum F.; Dignum V.; DomingoFerrer J.; Ferragina P.; Giannotti F.; Guidotti R.; Helbing D.; Kaski K.; Kertesz J.; Lehmann S.; Lepri B.; Lukowicz P.; Matwin S.; Jimenez D.M.; Monreale A.; Morik K.; Oliver N.; Passarella A.; Passerini A.; Pedreschi D.; Pentland A.; Pianesi F.; Pratesi F.; Rinzivillo S.; Ruggieri S.; Siebes A.; Torra V.; Trasarti R.; Hoven J.; Vespignani A.
Predicting seasonal influenza using supermarket retail records
2021 Miliou, I; Xiong, X; Rinzivillo, S; Zhang, Q; Rossetti, G; Giannotti, F; Pedreschi, D; Vespignani, A
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
2020 Nanni M.; Andrienko G.; Barabasi A.L.; Boldrini C.; Bonchi F.; Cattuto C.; Chiaromonte F.; Comandé G.; Conti M.; Coté M.; Dignum F.; Dignum V.; DomingoFerrer J.; Ferragina P.; Giannotti F.; Guidotti R.; Helbing D.; Kaski K.; Kertesz J.; Lehmann S.; Lepri B.; Lukowicz P.; Matwin S.; Jimenez D.; Monreale A.; Morik K.; Oliver N.; Passarella A.; Passerini A.; Pedreschi D.; Pentland A.; Pianesi F.; Pratesi F.; Rinzivillo S.; Ruggieri S.; Siebes A.; Torra V.; Trasarti R.; Van Den Hoven J.; Vespignani A.
Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown
2020 Bonato P.; Cintia P.; Fabbri F.; Fadda D.; Giannotti F.; Lopalco P.L.; Mazzilli S.; Nanni M.; Pappalardo L.; Pedreschi D.; Penone F.; Rinzivillo S.; Rossetti G.; Savarese M.; Tavoschi L.
Predicting seasonal influenza using supermarket retail records
2020 Miliou, I; Xiong, X; Rinzivillo, S; Zhang, Q; Rossetti, G; Giannotti, F; Pedreschi, D; Vespignani, A
The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy
2020 Cintia P.; Fadda D.; Giannotti F.; Pappalardo L.; Rossetti G.; Pedreschi D.; Rinzivillo S.; Bonato P.; Fabbri F.; Penone F.; Bavarese M.; Checchi D.; Chiaromonte F.; Vineis P.; Gazzetta G.; Riccardo F.; Marziano V.; Poletti P.; Trentini F.; Bella A.; Xanthi A.; Del Manso M.; Fabiani M.; Bellino S.; Boros S.; Urdiales A.M.; Vescia M.F.; Brusaferro S.; Rezza G.; Pezzotti P.; Ajelli M.; Merler S.
| 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. | |
| Amplified contribution analysis for federated learning | 1-gen-2024 | Zuziak, M. K.; 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. | |
| 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. | |
| Exemplars and counterexemplars explanations for image classifiers, targeting skin lesion labeling | 1-gen-2021 | Metta, C; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S | |
| Give more data, awareness and control to individual citizens, and they will help COVID-19 containment | 1-gen-2021 | Nanni M.; Andrienko G.; Barabasi A.L.; Boldrini C.; Bonchi F.; Cattuto C.; Chiaromonte F.; Comande G.; Conti M.; Cote M.; Dignum F.; Dignum V.; DomingoFerrer J.; Ferragina P.; Giannotti F.; Guidotti R.; Helbing D.; Kaski K.; Kertesz J.; Lehmann S.; Lepri B.; Lukowicz P.; Matwin S.; Jimenez D.M.; Monreale A.; Morik K.; Oliver N.; Passarella A.; Passerini A.; Pedreschi D.; Pentland A.; Pianesi F.; Pratesi F.; Rinzivillo S.; Ruggieri S.; Siebes A.; Torra V.; Trasarti R.; Hoven J.; Vespignani A. | |
| Predicting seasonal influenza using supermarket retail records | 1-gen-2021 | Miliou, I; Xiong, X; Rinzivillo, S; Zhang, Q; Rossetti, G; Giannotti, F; Pedreschi, D; Vespignani, A | |
| Give more data, awareness and control to individual citizens, and they will help COVID-19 containment | 1-gen-2020 | Nanni M.; Andrienko G.; Barabasi A.L.; Boldrini C.; Bonchi F.; Cattuto C.; Chiaromonte F.; Comandé G.; Conti M.; Coté M.; Dignum F.; Dignum V.; DomingoFerrer J.; Ferragina P.; Giannotti F.; Guidotti R.; Helbing D.; Kaski K.; Kertesz J.; Lehmann S.; Lepri B.; Lukowicz P.; Matwin S.; Jimenez D.; Monreale A.; Morik K.; Oliver N.; Passarella A.; Passerini A.; Pedreschi D.; Pentland A.; Pianesi F.; Pratesi F.; Rinzivillo S.; Ruggieri S.; Siebes A.; Torra V.; Trasarti R.; Van Den Hoven J.; Vespignani A. | |
| Mobile phone data analytics against the COVID-19 epidemics in Italy: flow diversity and local job markets during the national lockdown | 1-gen-2020 | Bonato P.; Cintia P.; Fabbri F.; Fadda D.; Giannotti F.; Lopalco P.L.; Mazzilli S.; Nanni M.; Pappalardo L.; Pedreschi D.; Penone F.; Rinzivillo S.; Rossetti G.; Savarese M.; Tavoschi L. | |
| Predicting seasonal influenza using supermarket retail records | 1-gen-2020 | Miliou, I; Xiong, X; Rinzivillo, S; Zhang, Q; Rossetti, G; Giannotti, F; Pedreschi, D; Vespignani, A | |
| The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in Italy | 1-gen-2020 | Cintia P.; Fadda D.; Giannotti F.; Pappalardo L.; Rossetti G.; Pedreschi D.; Rinzivillo S.; Bonato P.; Fabbri F.; Penone F.; Bavarese M.; Checchi D.; Chiaromonte F.; Vineis P.; Gazzetta G.; Riccardo F.; Marziano V.; Poletti P.; Trentini F.; Bella A.; Xanthi A.; Del Manso M.; Fabiani M.; Bellino S.; Boros S.; Urdiales A.M.; Vescia M.F.; Brusaferro S.; Rezza G.; Pezzotti P.; Ajelli M.; Merler S. |