NATALI CHIARA

Cabitza, F., Natali, C., Famiglini, L., Campagner, A., Caccavella, V., Gallazzi, E. (2024). Never tell me the odds: Investigating pro-hoc explanations in medical decision making. ARTIFICIAL INTELLIGENCE IN MEDICINE, 150(April 2024), 1-11 [10.1016/j.artmed.2024.102819]. Detail

Anichini, G., Natali, C., Cabitza, F. (2024). Invisible to Machines: Designing AI that Supports Vision Work in Radiology. COMPUTER SUPPORTED COOPERATIVE WORK [10.1007/s10606-024-09491-0]. Detail

Cabitza, F., Campagner, A., Famiglini, L., Natali, C., Caccavella, V., Gallazzi, E. (2023). Let Me Think! Investigating the Effect of Explanations Feeding Doubts About the AI Advice. In Machine Learning and Knowledge Extraction
7th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2023, Benevento, Italy, August 29 – September 1, 2023, Proceedings (pp.155-169). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-031-40837-3_10]. Detail

Cabitza, F., Campagner, A., Natali, C., Parimbelli, E., Ronzio, L., Cameli, M. (2023). Painting the Black Box White: Experimental Findings from Applying XAI to an ECG Reading Setting. MACHINE LEARNING AND KNOWLEDGE EXTRACTION, 5(1), 269-286 [10.3390/make5010017]. Detail

Milella, F., Natali, C., Scantamburlo, T., Campagner, A., Cabitza, F. (2023). The Impact of Gender and Personality in Human-AI Teaming: The Case of Collaborative Question Answering. In Human-Computer Interaction – INTERACT 2023
19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part II (pp.329-349). Springer Cham [10.1007/978-3-031-42283-6_19]. Detail