Digital Library

1. 1. A Comparison Study of RNN, CNN, and GAN Models in Sequential Recommendation
   Ji Hyung Yoon, Jaewon Chung, Beakcheol Jang, Vol. 23, No. 4, pp. 21-33, Aug. 2022
   10.7472/jksii.2022.23.4.21
   Keywords: Recommender System, RNN, CNN, GAN, Deep Learning, sequence modeling
2. 2. Sketch-based 3D object retrieval using Wasserstein Center Loss
   Myunggeun Ji, Junchul Chun, Namgi Kim, Vol. 19, No. 6, pp. 91-99, Dec. 2018
   10.7472/jksii.2018.19.6.91
   Keywords: Convolutional Neural Network, Image retrieval, Deep Learning, Sketch-based 3D object retrieval
3. 3. The Identification Framework for source code author using Authorship Analysis and CNN
   Gun-Yoon Shin, Dong-Wook Kim, Sung-sam Hong, Myung-Mook Han, Vol. 19, No. 5, pp. 33-41, Oct. 2018
   10.7472/jksii.2018.19.5.33
   Keywords: Author Identification, Authorship Analysis, Convolutional Neural Network, Machine Learning, Code Analysis
4. 4. An Improved Image Classification Using Batch Normalization and CNN
   Myunggeun Ji, Junchul Chun, Namgi Kim, Vol. 19, No. 3, pp. 35-42, Jun. 2018
   10.7472/jksii.2018.19.3.35
   Keywords: Batch Normalization, Convolutional Neural Network, Image Classification, Deep Learning