Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Clinical evaluation framework using behavioural & visual attention read-outs for explainable AI (XAI)
0
Zitationen
5
Autoren
2024
Jahr
Abstract
This folder contains all the data and code to reproduce the results and figures in both the manuscript ("<strong>Clinical evaluation framework using behavioural & visual attention read-outs for explainable AI (XAI)</strong>" by <strong>Myura Nagendran, Paul Festor, Matthieu Komorowski, Anthony Gordon, Aldo Faisal</strong>) and the supplementary appendices. For more details about the project structure please check the README file in the root of the folder. A data dictionary is also provided in the data folder for the four raw csv data files. The two jupyter notebooks to (1) prepare the data and (2) generate all results and figures should be run sequentially. Please see README within the zip file for more details.
Ähnliche Arbeiten
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
2017 · 20.436 Zit.
Generative Adversarial Nets
2023 · 19.843 Zit.
Visualizing and Understanding Convolutional Networks
2014 · 15.256 Zit.
"Why Should I Trust You?"
2016 · 14.294 Zit.
On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)
2024 · 13.133 Zit.