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Author/Affiliation: Haruka MotohashiOpen AccessArticle
6 Pages, 5,978 KB 
Interpretable Rules Using Inductive Logic Programming Explaining Machine Learning Models: Case Study of Subclinical Mastitis Detection for Dairy Cows
Abstract:
With the development of Internet of Things technology and the widespread use of smart devices, artificial intelligence is now being applied as a decision-making tool in a variety of fields. To make machine learning models, including deep neural network models, more interpretable, various techniques have been proposed. In this paper, a method for explaining the…
Read More(This article belongs to the SP12 (Special Issue on Multidisciplinary Sciences and Engineering 2021-22) & Section Bioinformatics (BIF))