GIANNOTTI, FOSCA
GIANNOTTI, FOSCA
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Human-AI Coevolution
2024 Pedreschi, Dino; Pappalardo, Luca; Ferragina, Emanuele; Baeza-Yates, Ricardo; Barabási, Albert-László; Dignum, Frank; Dignum, Virginia; Eliassi-Rad, Tina; Giannotti, Fosca; Kertész, János; Knott, Alistair; Ioannidis, Yannis; Lukowicz, Paul; Passarella, Andrea; Sandy Pentland, Alex; Shawe-Taylor, John; Vespignani, Alessandro
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
Dense Hebbian neural networks: a replica symmetric picture of unsupervised learning
2023 Agliari, E; Albanese, L; Alemanno, F; Alessandrelli, A; Barra, A; Giannotti, F; Lotito, D; Pedreschi, D
Explaining socio-demographic and behavioral patterns of vaccination against the swine flu (H1N1) pandemic
2023 Punzi, C; Maslennikova, A; Gezici, G; Pellungrini, R; Giannotti, F
Handling missing values in local post-hoc explainability
2023 Cinquini, M; Giannotti, F; Guidotti, R; Mattei, A
Interpretable latent space to enable counterfactual explanations
2022 Bodria, F.; Guidotti, R.; Giannotti, F.; Pedreschi, D.
Origin and destination attachment: study of cultural integration on Twitter
2022 Kim J.; Sirbu A.; Giannotti F.; Rossetti G.; Rapoport H.
Stable and actionable explanations of black-box models through factual and counterfactual rules
2022 Guidotti, R.; Monreale, A.; Ruggieri, S.; Naretto, F.; Turini, F.; Pedreschi, D.; Giannotti, F.
The complexity of Artificial Learning - CNR Foresight report
2022 Bacco, Manlio; Colantonio, Sara; Lepri, Stefano; Bartolucci, Cecilia; Bartolucci, Cecilia; Cinti, Caterina; Falchi, Fabrizio; Giannotti, Fosca
Transparent latent space counterfactual explanations for tabular data
2022 Bodria, F.; Guidotti, R.; Giannotti, F.; Pedreschi, D.
Understanding peace through the world news
2022 Voukelatou, V; Miliou, I; Giannotti, F; Pappalardo, L
Artificial intelligence for humankind: a panel on how to create truly interactive and human-centered AI for the benefit of individuals and society
2021 Schmidt, A; Giannotti, F; Mackay, W; Shneiderman, B; Vaananen, K
Boosting synthetic data generation with effective nonlinear causal discovery
2021 Cinquini, M; Giannotti, F; Guidotti, R
Data Science: a game changer for science and innovation
2021 Grossi, V; Giannotti, F; Pedreschi, D; Manghi, P; Pagano, P; Assante, M
Ethics of smart cities: towards value-sensitive design and co-evolving city life
2021 Helbing, D; Fanitabasi, F; Giannotti, F; Hanggli, R; Hausladen, Ci; van den Hoven, J; Mahajan, S; Pedreschi, D; Pournaras, E
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.
GLocalX - From local to global explanations of black box AI models
2021 Setzu, M.; Guidotti, R.; Monreale, A.; Turini, F.; Pedreschi, D.; Giannotti, F.
Measuring immigrants adoption of natives shopping consumption with machine learning
2021 Guidotti R.; Nanni M.; Giannotti F.; Pedreschi D.; Bertoli S.; Speciale B.; Rapoport H.
Predicting seasonal influenza using supermarket retail records
2021 Miliou, I; Xiong, X; Rinzivillo, S; Zhang, Q; Rossetti, G; Giannotti, F; Pedreschi, D; Vespignani, A
Understanding peacefulness through the world news
2021 Voukelatou V.; Miliou I.; Giannotti F.; Pappalardo L.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Human-AI Coevolution | 1-gen-2024 | Pedreschi, Dino; Pappalardo, Luca; Ferragina, Emanuele; Baeza-Yates, Ricardo; Barabási, Albert-László; Dignum, Frank; Dignum, Virginia; Eliassi-Rad, Tina; Giannotti, Fosca; Kertész, János; Knott, Alistair; Ioannidis, Yannis; Lukowicz, Paul; Passarella, Andrea; Sandy Pentland, Alex; Shawe-Taylor, John; Vespignani, Alessandro | |
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 | |
Dense Hebbian neural networks: a replica symmetric picture of unsupervised learning | 1-gen-2023 | Agliari, E; Albanese, L; Alemanno, F; Alessandrelli, A; Barra, A; Giannotti, F; Lotito, D; Pedreschi, D | |
Explaining socio-demographic and behavioral patterns of vaccination against the swine flu (H1N1) pandemic | 1-gen-2023 | Punzi, C; Maslennikova, A; Gezici, G; Pellungrini, R; Giannotti, F | |
Handling missing values in local post-hoc explainability | 1-gen-2023 | Cinquini, M; Giannotti, F; Guidotti, R; Mattei, A | |
Interpretable latent space to enable counterfactual explanations | 1-gen-2022 | Bodria, F.; Guidotti, R.; Giannotti, F.; Pedreschi, D. | |
Origin and destination attachment: study of cultural integration on Twitter | 1-gen-2022 | Kim J.; Sirbu A.; Giannotti F.; Rossetti G.; Rapoport H. | |
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. | |
The complexity of Artificial Learning - CNR Foresight report | 1-gen-2022 | Bacco, Manlio; Colantonio, Sara; Lepri, Stefano; Bartolucci, Cecilia; Bartolucci, Cecilia; Cinti, Caterina; Falchi, Fabrizio; Giannotti, Fosca | |
Transparent latent space counterfactual explanations for tabular data | 1-gen-2022 | Bodria, F.; Guidotti, R.; Giannotti, F.; Pedreschi, D. | |
Understanding peace through the world news | 1-gen-2022 | Voukelatou, V; Miliou, I; Giannotti, F; Pappalardo, L | |
Artificial intelligence for humankind: a panel on how to create truly interactive and human-centered AI for the benefit of individuals and society | 1-gen-2021 | Schmidt, A; Giannotti, F; Mackay, W; Shneiderman, B; Vaananen, K | |
Boosting synthetic data generation with effective nonlinear causal discovery | 1-gen-2021 | Cinquini, M; Giannotti, F; Guidotti, R | |
Data Science: a game changer for science and innovation | 1-gen-2021 | Grossi, V; Giannotti, F; Pedreschi, D; Manghi, P; Pagano, P; Assante, M | |
Ethics of smart cities: towards value-sensitive design and co-evolving city life | 1-gen-2021 | Helbing, D; Fanitabasi, F; Giannotti, F; Hanggli, R; Hausladen, Ci; van den Hoven, J; Mahajan, S; Pedreschi, D; Pournaras, E | |
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. | |
GLocalX - From local to global explanations of black box AI models | 1-gen-2021 | Setzu, M.; Guidotti, R.; Monreale, A.; Turini, F.; Pedreschi, D.; Giannotti, F. | |
Measuring immigrants adoption of natives shopping consumption with machine learning | 1-gen-2021 | Guidotti R.; Nanni M.; Giannotti F.; Pedreschi D.; Bertoli S.; Speciale B.; Rapoport H. | |
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 | |
Understanding peacefulness through the world news | 1-gen-2021 | Voukelatou V.; Miliou I.; Giannotti F.; Pappalardo L. |