| 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 | 206 | 2020 |
| 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 | 105 | 2022 |
| 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 | 80 | 2021 |
| The role of explainable AI in the context of the AI Act C Panigutti, R Hamon, I Hupont, D Fernandez Llorca, D Fano Yela, ... Proceedings of the 2023 ACM conference on fairness, accountability, and …, 2023 | 65 | 2023 |
| 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 | 65 | 2017 |
| 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 13 (4), 1-35, 2023 | 31 | 2023 |
| 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 | 28 | 2020 |
| 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 | 21 | 2022 |
| Ethical, societal and legal issues in deep learning for healthcare C Panigutti, A Monreale, G Comandè, D Pedreschi Deep Learning in Biology And Medicine, 265-313, 2022 | 7 | 2022 |
| 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, ... Publications Office of the EU. https://publications. jrc. ec. europa. eu …, 2023 | 3 | 2023 |
| AI Watch: Artificial Intelligence Standardisation Landscape Update J Soler Garrido, S Tolan, I Hupont Torres, D Fernandez Llorca, V Charisi, ... Joint Research Centre (Seville site), 2023 | 3 | 2023 |
| AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act D Golpayegani, I Hupont, C Panigutti, HJ Pandit, S Schade, D O’Sullivan, ... Annual Privacy Forum, 48-72, 2024 | 1 | 2024 |
| 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 |
| Causality and explanation in ML: A lead from the GDPR and an application to personal injury damages G Comandé, D Pedreschi, D Amram, C Panigutti, G Tripodi Conference on Data Science and Law at ETH, 3-21, 2019 | 1 | 2019 |
| European Centre for Algorithmic Transparency (ECAT): Issue 1, 2024 GG Emilia, SG Josep, EP Marina, FY Delia, FL David, HT Isabelle, ... JRC Research Reports, 2024 | | 2024 |
| Semantic Enrichment of Explanations of AI Models for Healthcare L Corbucci, A Monreale, C Panigutti, M Natilli, S Smiraglio, D Pedreschi International Conference on Discovery Science, 216-229, 2023 | | 2023 |
| Analysis of the preliminary AI standardisation work plan in support of the AI Act SG Josep, FY Delia, P Cecilia, J Henrik, H Ronan, E Tatjana, ... JRC Research Reports, 2023 | | 2023 |
| eXplainable AI for trustworthy healthcare applications C Panigutti Scuola Normale Superiore, 2022 | | 2022 |
| 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, 1-4, 2022 | | 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 |
Dino PedreschiProfessor of Computer Science, University of PisaVerified email at di.unipi.it
