Work

Extrapolation validation (EV): a universal validation method for mitigating machine learning extrapolation risk

Year: 2024

Type: article

Abstract: A generic machine learning model validation method named extrapolation validation (EV) has been proposed, which evaluates the trustworthiness of model predictions to mitigate the extrapolation risk before the model transitions to applications.

Source: Digital Discovery

DOI: 10.1039/d3dd00256j

Authors: Mengxian Yu, Yin-Ning Zhou, Qiang Wang, Fangyou Yan

Institutions: Tianjin University of Science and Technology, Shanghai Jiao Tong University

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: National Natural Science Foundation of China

Awards: G5374998768, G6753000920