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Cecilia Panigutti
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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
1762020
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
622022
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
612017
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
602021
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
262020
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
142022
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
122023
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
122023
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
62022
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
22023
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, ...
Joint Research Centre (Seville site), 2023
12023
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
12019
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
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
European Centre for Algorithmic Transparency (ECAT): Issue 1, 2024
GE GOMEZ, GJ SOLER, PM ESCOBAR, Y FANO, LD FERNANDEZ, ...
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Articles 1–19