Mining the relationship between production and customer service data for failure analysis of industrial products. - Seokho Kang 001; Eunji Kim 001; Jaewoong Shim; Sungzoon Cho; Wonsang Chang; Junhwan Kim (Comput. Ind. Eng., 2017)

Knowledge extraction and visualization of digital design process. - Jiwon Yang; Eunji Kim 001; Minhoe Hur; Sungzoon Cho; Myungbin Han; Iksang Seo (Expert Syst. Appl., 2018)

Product failure prediction with missing data. - Seokho Kang 001; Eunji Kim 001; Jaewoong Shim; Wonsang Chang; Sungzoon Cho (Int. J. Prod. Res., 2018)

Champion-challenger analysis for credit card fraud detection: Hybrid ensemble and deep learning. - Eunji Kim 001; Jehyuk Lee; Hunsik Shin; Hoseong Yang; Sungzoon Cho; Seung-kwan Nam; Youngmi Song; Jeong-a Yoon; Jong-il Kim (Expert Syst. Appl., 2019)

Interpretable and Accurate Convolutional Neural Networks for Human Activity Recognition. - Eunji Kim 001 (IEEE Trans. Ind. Informatics, 2020)

Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors. - Eunji Kim 001; Sungzoon Cho (IEEE Access, 2021)

Valid, Plausible, and Diverse Retrosynthesis Using Tied Two-Way Transformers with Latent Variables. - Eunji Kim 001; Dongseon Lee; Youngchun Kwon; Min Sik Park; Youn-Suk Choi (J. Chem. Inf. Model., 2021)

A sensor data mining process for identifying root causes associated with low yield in semiconductor manufacturing. - Eunji Kim 001; Jinwon An; Hyunchang Cho; Sungzoon Cho; Byeongeon Lee (Data Technol. Appl., 2023)