140 |
Minkyu Kwon, Jihwan Lee, and Yoo S. Hong |
Product-Service System Business Modelling Methodology Using Morphological Analysis |
Sutainability |
11(5) (2019) |
|
139 |
홍성필,김태균,이수빈 |
A precision pump schedule optimization for the water supply networks with small buffers |
Omega |
82 (2019) |
|
138 |
Heewoong Park, Jonghun Park |
Assessment ofWord-Level Neural Language Models |
Applied Sciences, |
10(4) (2020) |
|
137 |
Younghoon Lee, Sungzoon cho, and Jinhae Choi |
App usage prediction for dual display device via two-phase sequence modeling |
Pervasive and Mobile Computing |
58 (2019) |
|
136 |
Younghoon Lee, Sungzoon Cho, Jinhae Choi |
Smartphone help contents re-organization considering user specification via conditional GAN |
International Journal of Human - Computer Studies |
129 (2019) |
|
135 |
Eunji kim, Sungzoon Cho, Byeong eon Lee, Myoungsu Cho |
Fault Detection and Diagnosis Using Self-Attentive Convolutional Neural Networks for Variable-length Sensor Data in Semiconductor Manufacturing |
IEEE Transactions on Semiconductor Manufacturing |
32(3) (2019) |
|
134 |
Eunji Kim, Jehyuk Lee, Hunsik Shin, Hoseong Yang, Sungzoon Cho, Seung-kwan Nam, Youngmi Song, Jeong- |
Champion-challenger analysis for credit card fraud detection: hybrid ensemble and deep learning |
Expert Systems with Applications |
128 (2019) |
|
133 |
Seokho Kang, Dongil Kim*, and Sungzoon Cho |
Approximate training of one-class support vector machines using expected margin |
Computers & Industrial Engineering |
130 (2019) |
|
132 |
Hyunjoong Kim; Han Kyul Kim; Misuk Kim; Jooseoung Park; Sungzoon Cho; Keyng Bin Im; Chang Ryeol Ryu |
Representation learning for unsupervised heterogeneous multivariate time series segmentation and its application |
Computers & Industrial Engineering |
130 (2019) |
|
131 |
Younghoon Lee, Seokmin Song, Sungzoon Cho, Jinhae Choi |
Document representation based on probabilistic word clustering in customer-voice classification |
Pattern Analysis and Application |
22(1) (2019) |
|