A Comprehensive Explainable Framework for Designing Enhanced Deep Learning Models

IF 2.4 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

International Journal of Information and Learning Technology Pub Date : 2023-06-13 DOI:10.53819/81018102t3086

引用次数: 0

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设计增强型深度学习模型的综合可解释框架

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Information and Learning Technology COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

6.10

自引率

3.30%

发文量

期刊介绍： International Journal of Information and Learning Technology (IJILT) provides a forum for the sharing of the latest theories, applications, and services related to planning, developing, managing, using, and evaluating information technologies in administrative, academic, and library computing, as well as other educational technologies. Submissions can include research: -Illustrating and critiquing educational technologies -New uses of technology in education -Issue-or results-focused case studies detailing examples of technology applications in higher education -In-depth analyses of the latest theories, applications and services in the field The journal provides wide-ranging and independent coverage of the management, use and integration of information resources and learning technologies.