Fairness-aware genetic-algorithm-based few-shot classification

Fairness-aware genetic-algorithm-based few-shot classification

Artificial-intelligence-assisted decision-making is appearing increasingly more frequently in our daily lives; however, it has been shown that biased data can cause unfairness in decision-making. In light of this, computational techniques are needed to limit the inequities in algorithmic decision-ma...

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Bibliographic Details
Main Authors: Depei Wang, Lianglun Cheng, Tao Wang
Format: Article
Language:English
Published: AIMS Press 2023-01-01
Series:Mathematical Biosciences and Engineering
Subjects:
fairness
few-shot
genetic algorithm
meta-learning
feature selection
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023169?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023169?viewType=HTML

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