Work

A Comparative Study of LIME and SHAP for Enhancing Trustworthiness and Efficiency in Explainable AI Systems

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Computing (ICOCO)

DOI: 10.1109/icoco62848.2024.10928183

Authors: Trisna Ari Roshinta, Szűcs Gábor

Institution: Budapest University of Technology and Economics

Language: English

Topic: Explainable Artificial Intelligence (XAI)

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: Universitas Sebelas Maret

OpenAlex ID: W4408792952

FWCI: 6.469

Cites: 13

Cited by: 22

Related to: 10