MONREALE, ANNA Statistiche
MONREALE, ANNA
DIPARTIMENTO DI INFORMATICA
A Survey on Privacy in Human Mobility
2023-01-01 Monreale, A.; Pellungrini, R.
Geolet: An Interpretable Model for Trajectory Classification
2023-01-01 Landi, C.; Spinnato, F.; Guidotti, R.; Monreale, A.; Nanni, M.
Monitoring Fairness in HOLDA
2022-01-01 Fontana, M.; Naretto, F.; Monreale, A.; Giannotti, F.
Privacy Risk of Global Explainers
2022-01-01 Naretto, F.; Monreale, A.; Giannotti, F.
Stable and actionable explanations of black-box models through factual and counterfactual rules
2022-01-01 Guidotti, R; Monreale, A; Ruggieri, S; Naretto, F; Turini, F; Pedreschi, D; Giannotti, F
Time-on-Task Estimation by data-driven Outlier Detection based on Learning Activities
2022-01-01 Rotelli, D.; Monreale, A.
Uncovering Student Temporal Learning Patterns
2022-01-01 Rotelli, D.; Monreale, A.; Guidotti, R.
Visual Analytics for Session-based Time-Windows Identification in Virtual Learning Environments
2022-01-01 Maslennikova, A.; Rotelli, D.; Monreale, A.
XAI.it 2022 - Preface to the Third Italian Workshop on Explainable Artificial Intelligence
2022-01-01 Musto, C.; Guidotti, R.; Monreale, A.; Semeraro, G.
A new approach for cross-silo federated learning and its privacy risks
2021-01-01 Fontana, Michele; Naretto, Francesca; Monreale, Anna
Deriving a Single Interpretable Model by Merging Tree-Based Classifiers
2021-01-01 Bonsignori, V.; Guidotti, R.; Monreale, A.
Designing Shapelets for Interpretable Data-Agnostic Classification
2021-01-01 Guidotti, R.; Monreale, A.
From depression to suicidal discourse on Reddit
2021-01-01 Iavarone, B.; Monreale, A.
Give more data, awareness and control to individual citizens, and they will help COVID-19 containment
2021-01-01 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.; Domingo-Ferrer, 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
2021-01-01 Setzu, Mattia; Guidotti, Riccardo; Monreale, Anna; Turini, Franco; Pedreschi, Dino; Giannotti, Fosca
Occlusion-based explanations in deep recurrent models for biomedical signals
2021-01-01 Resta, M.; Monreale, A.; Bacciu, D.
Privacy Risk Assessment of Individual Psychometric Profiles
2021-01-01 Mariani, G.; Monreale, A.; Naretto, F.
TRIPLEx: Triple Extraction for Explanation
2021-01-01 Setzu, M.; Monreale, A.; Minervini, P.
XAI.it 2021 - Preface to the Second Italian Workshop on Explainable Artificial Intelligence
2021-01-01 Musto, C.; Guidotti, R.; Monreale, A.; Semeraro, G.
An ethico-legal framework for social data science
2020-01-01 Forgo, N.; Hanold, S.; vanden Hoven, J.; Krugel, T.; Lishchuk, I.; Mahieu, R.; Monreale, A.; Pedreschi, D.; Pratesi, F.; van Putten, D.
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
A Survey on Privacy in Human Mobility | 1-gen-2023 | Monreale, A.; Pellungrini, R. | |
Geolet: An Interpretable Model for Trajectory Classification | 1-gen-2023 | Landi, C.; Spinnato, F.; Guidotti, R.; Monreale, A.; Nanni, M. | |
Monitoring Fairness in HOLDA | 1-gen-2022 | Fontana, M.; Naretto, F.; Monreale, A.; Giannotti, F. | |
Privacy Risk of Global Explainers | 1-gen-2022 | Naretto, F.; Monreale, A.; Giannotti, F. | |
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 | |
Time-on-Task Estimation by data-driven Outlier Detection based on Learning Activities | 1-gen-2022 | Rotelli, D.; Monreale, A. | |
Uncovering Student Temporal Learning Patterns | 1-gen-2022 | Rotelli, D.; Monreale, A.; Guidotti, R. | |
Visual Analytics for Session-based Time-Windows Identification in Virtual Learning Environments | 1-gen-2022 | Maslennikova, A.; Rotelli, D.; Monreale, A. | |
XAI.it 2022 - Preface to the Third Italian Workshop on Explainable Artificial Intelligence | 1-gen-2022 | Musto, C.; Guidotti, R.; Monreale, A.; Semeraro, G. | |
A new approach for cross-silo federated learning and its privacy risks | 1-gen-2021 | Fontana, Michele; Naretto, Francesca; Monreale, Anna | |
Deriving a Single Interpretable Model by Merging Tree-Based Classifiers | 1-gen-2021 | Bonsignori, V.; Guidotti, R.; Monreale, A. | |
Designing Shapelets for Interpretable Data-Agnostic Classification | 1-gen-2021 | Guidotti, R.; Monreale, A. | |
From depression to suicidal discourse on Reddit | 1-gen-2021 | Iavarone, B.; Monreale, A. | |
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.; Domingo-Ferrer, 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, Mattia; Guidotti, Riccardo; Monreale, Anna; Turini, Franco; Pedreschi, Dino; Giannotti, Fosca | |
Occlusion-based explanations in deep recurrent models for biomedical signals | 1-gen-2021 | Resta, M.; Monreale, A.; Bacciu, D. | |
Privacy Risk Assessment of Individual Psychometric Profiles | 1-gen-2021 | Mariani, G.; Monreale, A.; Naretto, F. | |
TRIPLEx: Triple Extraction for Explanation | 1-gen-2021 | Setzu, M.; Monreale, A.; Minervini, P. | |
XAI.it 2021 - Preface to the Second Italian Workshop on Explainable Artificial Intelligence | 1-gen-2021 | Musto, C.; Guidotti, R.; Monreale, A.; Semeraro, G. | |
An ethico-legal framework for social data science | 1-gen-2020 | Forgo, N.; Hanold, S.; vanden Hoven, J.; Krugel, T.; Lishchuk, I.; Mahieu, R.; Monreale, A.; Pedreschi, D.; Pratesi, F.; van Putten, D. |