| Champion-challenger analysis for credit card fraud detection: Hybrid ensemble and deep learning E Kim, J Lee, H Shin, H Yang, S Cho, S Nam, Y Song, J Yoon, J Kim Expert Systems with Applications 128, 214-224, 2019 | 130 | 2019 |
| Fault detection and diagnosis using self-attentive convolutional neural networks for variable-length sensor data in semiconductor manufacturing E Kim, S Cho, B Lee, M Cho IEEE Transactions on Semiconductor Manufacturing 32 (3), 302-309, 2019 | 88 | 2019 |
| Interpretable and accurate convolutional neural networks for human activity recognition E Kim IEEE Transactions on Industrial Informatics 16 (11), 7190-7198, 2020 | 60 | 2020 |
| Valid, plausible, and diverse retrosynthesis using tied two-way transformers with latent variables E Kim, D Lee, Y Kwon, MS Park, YS Choi Journal of Chemical Information and Modeling 61 (1), 123-133, 2021 | 50 | 2021 |
| Mining the relationship between production and customer service data for failure analysis of industrial products S Kang, E Kim, J Shim, S Cho, W Chang, J Kim Computers & Industrial Engineering 106, 137-146, 2017 | 44 | 2017 |
| Knowledge extraction and visualization of digital design process J Yang, E Kim, M Hur, S Cho, M Han, I Seo Expert Systems with Applications 92, 206-215, 2018 | 28 | 2018 |
| Product failure prediction with missing data S Kang, E Kim, J Shim, W Chang, S Cho International Journal of Production Research 56 (14), 4849-4859, 2018 | 22 | 2018 |
| Exposing Fake Faces Through Deep Neural Networks Combining Content and Trace Feature Extractors E Kim, S Cho IEEE Access 9, 123493-123503, 2021 | 20 | 2021 |
| AI-driven robotic chemist for autonomous synthesis of organic molecules T Ha, D Lee, Y Kwon, MS Park, S Lee, J Jang, B Choi, H Jeon, J Kim, ... Science Advances 9 (44), eadj0461, 2023 | 5 | 2023 |
| Data undersampling models for the efficient rule-based retrosynthetic planning MS Park, D Lee, Y Kwon, E Kim, YS Choi Physical Chemistry Chemical Physics 23 (46), 26510-26518, 2021 | 1 | 2021 |
| A sensor data mining process for identifying root causes associated with low yield in semiconductor manufacturing E Kim, J An, HC Cho, S Cho, B Lee Data Technologies and Applications, 2023 | | 2023 |
| Material synthesis apparatus and method of operating the same LEE Dongseon, HA Taesin, Y Choi, J Kim, W Oh, J Hyunjeong, ... US Patent App. 17/507,401, 2022 | | 2022 |
| Method and apparatus for synthesizing target products by using neural networks M Park, K Youngchun, LEE Dongseon, Y Choi, E Kim US Patent App. 17/372,808, 2022 | | 2022 |
| Efficient Data Undersampling for Rule-Based Retrosynthetic Planning MINSIK PARK, D Lee, Y Kwon, E Kim, YS Choi | | 2021 |
| Supervised Deep Learning-based Anomaly Detection Models and Their Applications in Finance, Manufacturing, and Media 김은지 서울대학교 대학원, 2019 | | 2019 |
sungzoon choSeoul National UniversityVerified email at snu.ac.kr
