| Doctor XAI: an ontology-based approach to black-box sequential data classification explanations C Panigutti, A Perotti, D Pedreschi Proceedings of the 2020 conference on fairness, accountability, and …, 2020 | 132 | 2020 |
| Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models C Panigutti, M Tizzoni, P Bajardi, Z Smoreda, V Colizza Royal Society open science 4 (5), 160950, 2017 | 55 | 2017 |
| FairLens: Auditing black-box clinical decision support systems C Panigutti, A Perotti, A Panisson, P Bajardi, D Pedreschi Information Processing & Management 58 (5), 102657, 2021 | 33 | 2021 |
| Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems C Panigutti, A Beretta, F Giannotti, D Pedreschi Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems …, 2022 | 24 | 2022 |
| Explaining multi-label black-box classifiers for health applications C Panigutti, R Guidotti, A Monreale, D Pedreschi Precision Health and Medicine: A Digital Revolution in Healthcare, 97-110, 2020 | 19 | 2020 |
| Ethical, societal and legal issues in deep learning for healthcare C Panigutti, A Monreale, G Comandé, D Pedreschi Deep Learning in Biology and Medicine, 265-313, 2022 | 5 | 2022 |
| 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 H Allahabadi, J Amann, I Balot, A Beretta, C Binkley, J Bozenhard, ... IEEE Transactions on Technology and Society 3 (4), 272-289, 2022 | 3 | 2022 |
| AI Watch: Artificial Intelligence Standardisation Landscape Update SG Josep, T Songul, HT Isabelle, FL David, C Vasiliki, GG Emilia, J Henrik, ... JRC Research Reports, 2023 | 1 | 2023 |
| Co-design of human-centered, explainable AI for clinical decision support C Panigutti, A Beretta, D Fadda, F Giannotti, D Pedreschi, A Perotti, ... ACM Transactions on Interactive Intelligent Systems, 2023 | 1 | 2023 |
| Analysis of the preliminary AI standardisation work plan in support of the AI Act J Soler Garrido, D Fano Yela, C Panigutti, H Junklewitz, R Hamon, T Evas, ... | | 2023 |
| Proceedings of the Workshop on Imagining the AI Landscape after the AI Act (IAIL 2022) D Dushi, F Naretto, C Panigutti, F Pratesi IAIL 2022 Imagining the AI Landscape after the AI Act 2022, 2022 | | 2022 |
| eXplainable AI for trustworthy healthcare applications C Panigutti, D Pedreschi, G Comandè | | 2022 |
| DIABETES MELLITUS AND PRE-DIABETES IN PRE-LIVER TRANSPLANT PATIENTS: PREVALENCE AND CHARACTERISTICS L Marselli, P Carrai, D Ghinolfi, F Indovina, C Panigutti, G Tincani, ... TRANSPLANT INTERNATIONAL 34, 317-317, 2021 | | 2021 |
| Intelligenza artificiale in ambito diabetologico: prospettive, dalla ricerca di base alle applicazioni cliniche C Panigutti, E Bosi il Diabete 33, 2021 | | 2021 |
| IA comprensibile per il supporto alle decisioni: Doctor XAI F Giannotti, C Panigutti, D Pedreschi Biopolitica, pandemia e democrazia. Rule of law nella società digitale. Vol …, 2021 | | 2021 |
Dino PedreschiProfessor of Computer Science, University of PisaVerified email at di.unipi.it
