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pro vyhledávání: '"Mase, Jimiama M."'
Autor:
Mase, Jimiama M., Leesakul, Natalie, Yang, Fan, Figueredo, Grazziela P., Torres, Mercedes Torres
Automatically understanding and recognising human affective states using images and computer vision can improve human-computer and human-robot interaction. However, privacy has become an issue of great concern, as the identities of people used to tra
Externí odkaz:
http://arxiv.org/abs/2111.07344
Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach
Autor:
Rengasamy, Divish, Mase, Jimiama M., Torres, Mercedes Torres, Rothwell, Benjamin, Winkler, David A., Figueredo, Grazziela P.
With the widespread use of machine learning to support decision-making, it is increasingly important to verify and understand the reasons why a particular output is produced. Although post-training feature importance approaches assist this interpreta
Externí odkaz:
http://arxiv.org/abs/2110.11713
Autor:
Rengasamy, Divish, Mase, Jimiama M., Kumar, Aayush, Rothwell, Benjamin, Torres, Mercedes Torres, Alexander, Morgan R., Winkler, David A., Figueredo, Grazziela P.
Publikováno v:
In Neurocomputing 28 October 2022 511:163-174
Publikováno v:
AI and Ethics; 20220101, Issue: Preprints p1-10, 10p
Akademický článek
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