Work

Interpretable and fair generalized additive neural networks via multi-objective learning

Year: 2026

Type: article

Source: Neural Networks

DOI: 10.1016/j.neunet.2026.109520

Authors: Ziming Wang, Changwu Huang, Ke Tang, Yew-Soon Ong, Xin Yao

Institutions: Southern University of Science and Technology, Beijing Normal-Hong Kong Baptist University, Agency for Science, Technology and Research, Nanyang Technological University, Lingnan University

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Lingnan University, Major Projects of Guangdong Education Department for Foundation Research and Applied Research, Basic and Applied Basic Research Foundation of Guangdong Province, IEEE Computational Intelligence Society

Awards: G8555519613, G8944032938

OpenAlex ID: W7203774087

FWCI: 3.708

Cites: 28

Cited by: 1

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