Campagner, Andrea

The importance of being external. methodological insights for the external validation of machine learning models in medicine

Cabitza, F., Campagner, A., Soares, F., García de Guadiana-Romualdo, L., Challa, F., Sulejmani, A., Seghezzi, M., & Carobene, A. (2021) · Computer Methods and Programs in Biomedicine

Artificial Intelligence in HealthcareMachine Learning in Healthcare

Cited by 284

Rams, hounds and white boxes: investigating human–AI collaboration protocols in medical diagnosis

Cabitza, F., Campagner, A., Ronzio, L., Cameli, M., Mandoli, G. E., Pastore, M. C., Sconfienza, L. M., Folgado, D., Barandas, M., & Gamboa, H. (2023) · Artificial Intelligence in Medicine

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 117

Toward a Perspectivist Turn in Ground Truthing for Predictive Computing

Cabitza, F., Campagner, A., & Basile, V. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Mobile Crowdsensing and CrowdsourcingMachine Learning and Data Classification

Cited by 114

Bridging the “last mile” gap between AI implementation and operation: “data awareness” that matters

Cabitza, F., Campagner, A., & Balsano, C. (2020) · Annals of Translational Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 113

Quod erat demonstrandum? - Towards a typology of the concept of explanation for the design of explainable AI

Cabitza, F., Campagner, A., Malgieri, G., Natali, C., Schneeberger, D., Stoeger, K., & Holzinger, A. (2023) · Expert Systems with Applications

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 89

The need to move away from agential-AI: Empirical investigations, useful concepts and open issues

Cabitza, F., Campagner, A., & Simone, C. (2021) · International Journal of Human-Computer Studies

Information Systems Theories and ImplementationHuman-Automation Interaction and Safety

Cited by 55

AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making

Cabitza, F., Campagner, A., Angius, R., Natali, C., & Reverberi, C. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Human-Automation Interaction and SafetyEthics and Social Impacts of AI

Cited by 51