Interpretable Rules Using Inductive Logic Programming Explaining Machine Learning Models: Case Study of Subclinical Mastitis Detection for Dairy Cows | Zendy

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Interpretable Rules Using Inductive Logic Programming Explaining Machine Learning Models: Case Study of Subclinical Mastitis Detection for Dairy Cows

Author(s) -

Haruka Motohashi,

Hayato Ohwada

Publication year - 2022

Publication title -

advances in science technology and engineering systems journal

Language(s) - English

Resource type - Journals

ISSN - 2415-6698

DOI - 10.25046/aj070214

Subject(s) - subclinical infection , inductive logic programming , mastitis , artificial intelligence , machine learning , computer science , mathematics , medicine , pathology

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