Interpretable and fair generalized additive neural networks via multi-objective learning.
A multi-objective neural basis model (MONBM) framework based on multi-objective evolutionary learning to consider accuracy, interpretability, and fairness simultaneously is proposed and demonstrates how multi-objective optimization can be combined with self-interpretable models to reveal relationships among trustworthi...
Ziming Wang, Changwu Huang, Ke Tang et al.
· Neural Networks · 1 citation