BERETTA, ANDREA
BERETTA, ANDREA
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
AI says I’m better: evaluating the effect of AI defer on users. A study protocol
2025 Sajno, E.; Beretta, A.; De Gaspari, S.; Giannotti, F.; Pedreschi, D.; Pellungrini, R.; Pugnana, A.; Pupillo, C.; Repetto, C.; Sansoni, M.; Villani, D.; Riva, G.
Beyond rationality: bridging cognitive, emotional, and individual differences in XAI decision-making
2025 Sansoni, M.; Beretta, A.; De Gaspari, S.; Giannotti, F.; Pedreschi, D.; Pellungrini, R.; Pugnana, A.; Pupillo, C.; Repetto, C.; Sajno, E.; Villani, D.; Riva, G.
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR
2025 State, L.; A., Bringas Colmenarejo; Beretta, A.; Ruggieri, S.; Turini, F.; Law, S.
What tugs at your heartstrings? Exploring flow, and affect recognition through HRV, while video gaming
2025 Sajno, E.; Rossi, A.; Beretta, A.; Novielli, N.; Pappalardo, L.; Riva, G.
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.
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.
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
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
Interpretable data partitioning through tree-based clustering methods
2023 Guidotti R.; Landi C.; Beretta A.; Fadda D.; Nanni M.
The explanation dialogues: understanding how legal experts reason about XAI methods
2023 State L.; Bringas Colmenarejo A.; Beretta A.; Ruggieri S.; Turini F.; Law S.
Assessing trustworthy AI in times of COVID-19: deep learning for predicting a multiregional score conveying the degree of lung compromise in COVID-19 patients
2022 Allahabadi, H.; Amann, J.; Balot, I.; Beretta, A.; Binkley, C.; Bozenhard, J.; Bruneault, F.; Brusseau, J.; Candemir, S.; Cappellini, L. A.; Chakraborty, S.; Cherciu, N.; Cociancig, C.; Coffee, M.; Ek, I.; Espinosa-Leal, L.; Farina, D.; Fieux-Castagnet, G.; Frauenfelder, T.; Gallucci, A.; Giuliani, G.; Golda, A.; Van Halem, I.; Hildt, E.; Holm, S.; Kararigas, G.; Krier, S. A.; Kuhne, U.; Lizzi, F.; Madai, V. I.; Markus, A. F.; Masis, S.; Mathez, E. W.; Mureddu, F.; Neri, E.; Osika, W.; Ozols, M.; Panigutti, C.; Parent, B.; Pratesi, F.; Moreno-Sanchez, P. A.; Sartor, G.; Savardi, M.; Signoroni, A.; Sormunen, H. M.; Spezzatti, A.; Srivastava, A.; Stephansen, A. F.; Theng, L. B.; Tithi, J. J.; Tuominen, J.; Umbrello, S.; Vaccher, F.; Vetter, D.; Westerlund, M.; Wurth, R.; Zicari, R. V.
Detecting addiction, anxiety, and depression by users psychometric profiles
2022 Monreale, A; Iavarone, B; Rossetto, E; Beretta, A
Follow the flow: a prospective on the on-line detection of flow mental state through machine learning
2022 Sajno, E; Beretta, A; Novielli, N; Riva, G
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| AI says I’m better: evaluating the effect of AI defer on users. A study protocol | 1-gen-2025 | Sajno, E.; Beretta, A.; De Gaspari, S.; Giannotti, F.; Pedreschi, D.; Pellungrini, R.; Pugnana, A.; Pupillo, C.; Repetto, C.; Sansoni, M.; Villani, D.; Riva, G. | |
| Beyond rationality: bridging cognitive, emotional, and individual differences in XAI decision-making | 1-gen-2025 | Sansoni, M.; Beretta, A.; De Gaspari, S.; Giannotti, F.; Pedreschi, D.; Pellungrini, R.; Pugnana, A.; Pupillo, C.; Repetto, C.; Sajno, E.; Villani, D.; Riva, G. | |
| The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR | 1-gen-2025 | State, L.; A., Bringas Colmenarejo; Beretta, A.; Ruggieri, S.; Turini, F.; Law, S. | |
| What tugs at your heartstrings? Exploring flow, and affect recognition through HRV, while video gaming | 1-gen-2025 | Sajno, E.; Rossi, A.; Beretta, A.; Novielli, N.; Pappalardo, L.; Riva, G. | |
| 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. | |
| 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. | |
| 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 | |
| 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 | |
| Interpretable data partitioning through tree-based clustering methods | 1-gen-2023 | Guidotti R.; Landi C.; Beretta A.; Fadda D.; Nanni M. | |
| The explanation dialogues: understanding how legal experts reason about XAI methods | 1-gen-2023 | State L.; Bringas Colmenarejo A.; Beretta A.; Ruggieri S.; Turini F.; Law S. | |
| Assessing trustworthy AI in times of COVID-19: deep learning for predicting a multiregional score conveying the degree of lung compromise in COVID-19 patients | 1-gen-2022 | Allahabadi, H.; Amann, J.; Balot, I.; Beretta, A.; Binkley, C.; Bozenhard, J.; Bruneault, F.; Brusseau, J.; Candemir, S.; Cappellini, L. A.; Chakraborty, S.; Cherciu, N.; Cociancig, C.; Coffee, M.; Ek, I.; Espinosa-Leal, L.; Farina, D.; Fieux-Castagnet, G.; Frauenfelder, T.; Gallucci, A.; Giuliani, G.; Golda, A.; Van Halem, I.; Hildt, E.; Holm, S.; Kararigas, G.; Krier, S. A.; Kuhne, U.; Lizzi, F.; Madai, V. I.; Markus, A. F.; Masis, S.; Mathez, E. W.; Mureddu, F.; Neri, E.; Osika, W.; Ozols, M.; Panigutti, C.; Parent, B.; Pratesi, F.; Moreno-Sanchez, P. A.; Sartor, G.; Savardi, M.; Signoroni, A.; Sormunen, H. M.; Spezzatti, A.; Srivastava, A.; Stephansen, A. F.; Theng, L. B.; Tithi, J. J.; Tuominen, J.; Umbrello, S.; Vaccher, F.; Vetter, D.; Westerlund, M.; Wurth, R.; Zicari, R. V. | |
| Detecting addiction, anxiety, and depression by users psychometric profiles | 1-gen-2022 | Monreale, A; Iavarone, B; Rossetto, E; Beretta, A | |
| Follow the flow: a prospective on the on-line detection of flow mental state through machine learning | 1-gen-2022 | Sajno, E; Beretta, A; Novielli, N; Riva, G |