Showing results 1 to 6 of 6
Development of Neural Network Model With Explainable AI for Measuring Uranium Enrichment Ryu, Jichang; Park, Chanjun; Park, Jungsuk; Cho, Namchan; Park, Jaehyun; Cho, Gyuseong, IEEE TRANSACTIONS ON NUCLEAR SCIENCE, v.68, no.11, pp.2670 - 2681, 2021-11 |
Explainability of Machine Learning Models for Bankruptcy Prediction Park, Min Sue; Son, Hwijae; Hyun, Chongseok; Hwang, Hyung Ju, IEEE ACCESS, v.9, pp.124887 - 124899, 2021 |
How to Make AlphaGo's Children Explainable Park, Woosuk, PHILOSOPHIES, v.7, no.3, 2022-06 |
RRWaveNet: A Compact End-to-End Multiscale Residual CNN for Robust PPG Respiratory Rate Estimation Osathitporn, Pongpanut; Sawadwuthikul, Guntitat; Thuwajit, Punnawish; Ueafuea, Kawisara; Mateepithaktham, Thee; Kunaseth, Narin; Choksatchawathi, Tanut; et al, IEEE INTERNET OF THINGS JOURNAL, v.10, no.18, pp.15943 - 15952, 2023-09 |
Single domain generalizable and physically interpretable bearing fault diagnosis for unseen working conditions Kim, Iljeok; Kim, Sung Wook; Kim, Jeongsan; Huh, Hyunsuk; Jeong, Iljoo; Choi, Taegyu; Kim, Jeongchan; et al, EXPERT SYSTEMS WITH APPLICATIONS, v.241, 2024-05 |
Vision-Based Fault Diagnostics Using Explainable Deep Learning With Class Activation Maps Sun, Kyung Ho; Huh, Hyunsuk; Tama, Bayu Adhi; Lee, Soo Young; Ha Jung, Joon; Lee, Seungchul, IEEE ACCESS, v.8, pp.129169 - 129179, 2020 |
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