Sfoglia per Autore
NDlib: Studying Network Diffusion Dynamics
2017-01-01 Rossetti, Giulio; Milli, Letizia; Rinzivillo, Salvatore; Sirbu, Alina; Pedreschi, Dino; Giannotti, Fosca
Never drive alone: Boosting carpooling with network analysis
2017-01-01 Guidotti, Riccardo; Nanni, Mirco; Rinzivillo, Salvatore; Pedreschi, Dino; Giannotti, Fosca
NDlib: A Python Library to Model and Analyze Diffusion Processes over Complex Networks
2018-01-01 Rossetti, G.; Milli, L.; Rinzivillo, S.
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling
2021-01-01 Metta, Carlo; Guidotti, Riccardo; Yin, Yuan; Gallinari, Patrick; Rinzivillo, Salvatore
Predicting seasonal influenza using supermarket retail records
2021-01-01 Miliou, I.; Xiong, Xiong; Rinzivillo, S.; Zhang, Q.; Rossetti, G.; Giannotti, F.; Pedreschi, D.; Vespignani, A.
Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers
2022-01-01 Metta, C.; Guidotti, R.; Yin, Y.; Gallinari, P.; Rinzivillo, S.
Co-design of human-centered, explainable AI for clinical decision support
2023-01-01 Panigutti, Cecilia; Beretta, Andrea; Fadda, Daniele; Giannotti, Fosca; Pedreschi, Dino; Perotti, Alan; Rinzivillo, Salvatore
Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning
2023-01-01 Metta, C; Beretta, A; Guidotti, R; Yin, Y; Gallinari, P; Rinzivillo, S; Giannotti, F
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
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| NDlib: Studying Network Diffusion Dynamics | 1-gen-2017 | Rossetti, Giulio; Milli, Letizia; Rinzivillo, Salvatore; Sirbu, Alina; Pedreschi, Dino; Giannotti, Fosca | |
| Never drive alone: Boosting carpooling with network analysis | 1-gen-2017 | Guidotti, Riccardo; Nanni, Mirco; Rinzivillo, Salvatore; Pedreschi, Dino; Giannotti, Fosca | |
| NDlib: A Python Library to Model and Analyze Diffusion Processes over Complex Networks | 1-gen-2018 | Rossetti, G.; Milli, L.; Rinzivillo, S. | |
| Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling | 1-gen-2021 | Metta, Carlo; Guidotti, Riccardo; Yin, Yuan; Gallinari, Patrick; Rinzivillo, Salvatore | |
| Predicting seasonal influenza using supermarket retail records | 1-gen-2021 | Miliou, I.; Xiong, Xiong; Rinzivillo, S.; Zhang, Q.; Rossetti, G.; Giannotti, F.; Pedreschi, D.; Vespignani, A. | |
| Exemplars and Counterexemplars Explanations for Skin Lesion Classifiers | 1-gen-2022 | Metta, C.; Guidotti, R.; Yin, Y.; Gallinari, P.; Rinzivillo, S. | |
| Co-design of human-centered, explainable AI for clinical decision support | 1-gen-2023 | Panigutti, Cecilia; Beretta, Andrea; Fadda, Daniele; Giannotti, Fosca; Pedreschi, Dino; Perotti, Alan; Rinzivillo, Salvatore | |
| 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 | |
| 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 |
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