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Performance Improvement Method of Convolutional Neural Network Using Agile Activation Function
Na Young Kong, Young Min Ko, Sun Woo Ko KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 7, pp. 213-220,
Jul.
2020
https://doi.org/10.3745/KTSDE.2020.9.7.213
Keywords: Convolutional Neural Network, Agile Activation Function, Backpropagation, Learning

Keywords: Convolutional Neural Network, Agile Activation Function, Backpropagation, Learning
Tor Network Website Fingerprinting Using Statistical-Based Feature and Ensemble Learning of Traffic Data
Junho Kim, Wongyum Kim, Doosung Hwang KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 6, pp. 187-194,
Jun.
2020
https://doi.org/10.3745/KTSDE.2020.9.6.187
Keywords: Anonymous Network, Traffic Collection, Website Fingerprinting, Ensemble Algorithm, Machine Learning

Keywords: Anonymous Network, Traffic Collection, Website Fingerprinting, Ensemble Algorithm, Machine Learning
Parameter-Efficient Neural Networks Using Template Reuse
Daeyeon Kim, Woochul Kang KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 5, pp. 169-176,
May.
2020
https://doi.org/10.3745/KTSDE.2020.9.5.169
Keywords: Neural Network, Parameter Sharing, Layer Reuse, Parameter Efficiency

Keywords: Neural Network, Parameter Sharing, Layer Reuse, Parameter Efficiency
Estimating Gastrointestinal Transition Location Using CNN-based Gastrointestinal Landmark Classifier
Hyeon Woong Jang, Chang Nam Lim, Ye-Suel Park, Gwang Jae Lee, Jung-Won Lee KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 3, pp. 101-108,
Mar.
2020
https://doi.org/10.3745/KTSDE.2020.9.3.101
Keywords: Capsule Endoscopy(CE), Convolutional Neural Network(CNN), Gastrointestinal Location Tracking

Keywords: Capsule Endoscopy(CE), Convolutional Neural Network(CNN), Gastrointestinal Location Tracking
KG_VCR: A Visual Commonsense Reasoning Model Using Knowledge Graph
JaeYun Lee, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 3, pp. 91-100,
Mar.
2020
https://doi.org/10.3745/KTSDE.2020.9.3.91
Keywords: Visual Commonsense Reasoning, deep neural network, Graph Convolutional Network, Knowledge Graph Embedding

Keywords: Visual Commonsense Reasoning, deep neural network, Graph Convolutional Network, Knowledge Graph Embedding
Predicting Win-Loss of League of Legends Using Bidirectional LSTM Embedding
Cheolgi Kim, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 2, pp. 61-68,
Feb.
2020
https://doi.org/10.3745/KTSDE.2020.9.2.61
Keywords: League of Legends, Win-Loss Prediction, Machine Learning, Neural Network, LSTM

Keywords: League of Legends, Win-Loss Prediction, Machine Learning, Neural Network, LSTM
Automatic Word Spacing of the Korean Sentences by Using End-to-End Deep Neural Network
Hyun Young Lee, Seung Shik Kang KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 11, pp. 441-448,
Nov.
2019
https://doi.org/10.3745/KTSDE.2019.8.11.441
Keywords: Syllable Embedding, Bi-LSTM, Feedforward Neural Network, Neural Network Language Model, Linear-Chain CRF

Keywords: Syllable Embedding, Bi-LSTM, Feedforward Neural Network, Neural Network Language Model, Linear-Chain CRF
Camera Model Identification Based on Deep Learning
Soo Hyeon Lee, Dong Hyun Kim, Hae-Yeoun Lee KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 10, pp. 411-420,
Oct.
2019
https://doi.org/10.3745/KTSDE.2019.8.10.411
Keywords: Deep Learning, Camera Model Identification, Convolutional Neural Network, High Pass Filter, Gray Level Co-Occurrence Matrix

Keywords: Deep Learning, Camera Model Identification, Convolutional Neural Network, High Pass Filter, Gray Level Co-Occurrence Matrix
Perceptual Generative Adversarial Network for Single Image De-Snowing
Weiguo Wan, Hyo Jong Lee KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 10, pp. 403-410,
Oct.
2019
https://doi.org/10.3745/KTSDE.2019.8.10.403
Keywords: Generative Adversarial Network, De-Snowing, U-net, image synthesis, Residual Block

Keywords: Generative Adversarial Network, De-Snowing, U-net, image synthesis, Residual Block
LVLN: A Landmark-Based Deep Neural Network Model for Vision-and-Language Navigation
Jisu Hwang, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 9, pp. 379-390,
Sep.
2019
https://doi.org/10.3745/KTSDE.2019.8.9.379
Keywords: Vision-and-Language Navigation, deep neural network, Landmark, Attention, Progress Monitor

Keywords: Vision-and-Language Navigation, deep neural network, Landmark, Attention, Progress Monitor