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Cecilia Panigutti
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2020 – today
- 2024
- [c5]Delaram Golpayegani
, Isabelle Hupont
AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act. APF 2024: 48-72 - [i2]Delaram Golpayegani, Isabelle Hupont, Cecilia Panigutti, Harshvardhan J. Pandit, Sven Schade, Declan O'Sullivan, Dave Lewis:
AI Cards: Towards an Applied Framework for Machine-Readable AI and Risk Documentation Inspired by the EU AI Act. CoRR abs/2406.18211 (2024) - 2023
- [j2]Cecilia Panigutti
Co-design of Human-centered, Explainable AI for Clinical Decision Support. ACM Trans. Interact. Intell. Syst. 13(4): 21:1-21:35 (2023) - [c4]Luca Corbucci
Semantic Enrichment of Explanations of AI Models for Healthcare. DS 2023: 216-229 - [c3]Cecilia Panigutti
The role of explainable AI in the context of the AI Act. FAccT 2023: 1139-1150 - 2022
- [c2]Cecilia Panigutti
Understanding the impact of explanations on advice-taking: a user study for AI-based clinical Decision Support Systems. CHI 2022: 568:1-568:9 - [e1]Desara Dushi, Francesca Naretto, Cecilia Panigutti, Francesca Pratesi:
Proceedings of the Workshop on Imagining the AI Landscape after the AI Act (IAIL 2022) co-located with 1st International Conference on Hybrid Human-Artificial Intelligence (HHAI 2022), Amsterdam, Netherlands, June 13, 2022. CEUR Workshop Proceedings 3221, CEUR-WS.org 2022 [contents] - 2021
- [j1]Cecilia Panigutti
FairLens: Auditing black-box clinical decision support systems. Inf. Process. Manag. 58(5): 102657 (2021) - 2020
- [c1]Cecilia Panigutti
Doctor XAI: an ontology-based approach to black-box sequential data classification explanations. FAT* 2020: 629-639 - [p1]Cecilia Panigutti, Riccardo Guidotti, Anna Monreale, Dino Pedreschi
Explaining Multi-label Black-Box Classifiers for Health Applications. Precision Health and Medicine 2020: 97-110 - [i1]Cecilia Panigutti
FairLens: Auditing Black-box Clinical Decision Support Systems. CoRR abs/2011.04049 (2020)
Coauthor Index
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