Torwards Trustworthy Machine Learning based systems: Evaluating breast cancer predictions interpretability using Human Centered Machine Learning and UX Techniques-Reference-Cited by-同舟云学术

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Torwards Trustworthy Machine Learning based systems: Evaluating breast cancer predictions interpretability using Human Centered Machine Learning and UX Techniques

Published:2023 Issue: Volume: Page:538-545
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Ugalde Jonathan^ORCID,Godoy Eduardo^ORCID,Mellado Diego^ORCID,Cavieres Eduardo^ORCID,Carvajal Bastian,Fernández Carlos,Illescas Pamela^ORCID,Avaria Rodrigo H.,Díaz Claudia,Ferreira Rodrigo,Querales Marvin^ORCID,Lever Scarlett,Sotelo Julio^ORCID,Chabert Steren^ORCID,Salas Rodrigo^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-36004-6_73

Reference21 articles.

1. Usability heuristics for user interface design. https://www.nngroup.com/articles/ten-usability-heuristics/. Accessed 27 Feb 2023

2. Hom, J.: http://www.sidar.org/recur/desdi/traduc/es/visitable/Herramientas.htm (1996). Accessed 27 Feb 2023

3. Lovejoy, J.: Google. https://design.google/library/ux-ai/ (2018). Accessed 27 Feb 2023

4. CHI 2016: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA (2016)

5. Allugunti, V.R.: Breast cancer detection based on thermographic images using machine learning and deep learning algorithms. Int. J. Eng. Comput. Sci. 4(1), 49–56 (2022)

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