Exploring the Usability and Trustworthiness of AI-Driven User Interfaces for Neurological Diagnosis
Author:
Affiliation:
1. Dipartimento di Ingegneria Elettrica e dell'Informazione, Politecnico di Bari, Italy
2. Department of Electrical and Information Engineering, Politecnico di Bari, Italy
3. University LUM Giuseppe Degennaro, Italy
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3631700.3665192
Reference20 articles.
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2. Evaluating eXplainable artificial intelligence tools for hard disk drive predictive maintenance
3. Bernease Herman. 2017. The Promise and Peril of Human Evaluation for Model Interpretability. ArXiv abs/1711.07414 (2017). https://api.semanticscholar.org/CorpusID:26819361
4. Communicability Characterization of Structural DWI Subcortical Networks in Alzheimer’s Disease
5. ZC Lipton. 2016. The Mythos of Model Interpretability. ICML 2016 Workshop on Human Interpretability in Machine Learning (WHI 2016).
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