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Thi-Thu-Huong Le, Aji Teguh Prihatno, Yustus Eko Oktian, Hyoeun Kang and Howon Kim
In recent years, numerous explainable artificial intelligence (XAI) use cases have been developed, to solve numerous real problems in industrial applications while maintaining the explainability level of the used artificial intelligence (AI) models to ju...
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Warsono Warsono,Puji Iman Nursuhud,Rio Sandhika Darma,Supahar Supahar,Danis Alif Oktavia,Ahdika Setiyadi,Mas Aji Kurniawan
Pág. pp. 148 - 158
This research was conducted to determine the feasibility of the instrument diagram representation test and the effectiveness of Multimedia Learning Modules (MLMs) integrated local wisdom in physics learning activities. The study design used a pretest-pos...
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Navdeep Gill, Patrick Hall, Kim Montgomery and Nicholas Schmidt
This manuscript outlines a viable approach for training and evaluating machine learning systems for high-stakes, human-centered, or regulated applications using common Python programming tools. The accuracy and intrinsic interpretability of two types of ...
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