Digital Library
Search: "[ keyword: deep neural network ]" (9)
Cox Model Improvement Using Residual Blocks in Neural Networks: A Study on the Predictive Model of Cervical Cancer Mortality
Nang Kyeong Lee, Joo Young Kim, Ji Soo Tak, Hyeong Rok Lee, Hyun Ji Jeon, Jee Myung Yang, Seung Won Lee The Transactions of the Korea Information Processing Society,
Vol. 13, No. 6, pp. 260-268,
Jun.
2024
https://doi.org/10.3745/TKIPS.2024.13.6.260
Keywords: Cervical cancer, Survival Prediction Model, Cox Proportional Hazards, Machine Learning, Deep Neural Networks, ResNet
https://doi.org/10.3745/TKIPS.2024.13.6.260
Keywords: Cervical cancer, Survival Prediction Model, Cox Proportional Hazards, Machine Learning, Deep Neural Networks, ResNet
Predicting Unseen Object Pose with an Adaptive Depth Estimator
Sungho Song, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 12, pp. 509-516,
Dec.
2022
https://doi.org/10.3745/KTSDE.2022.11.12.509
Keywords: 3D Vision, Unknown Object, 6D Pose Prediction, depth estimation, deep neural network
https://doi.org/10.3745/KTSDE.2022.11.12.509
Keywords: 3D Vision, Unknown Object, 6D Pose Prediction, depth estimation, deep neural network
Alleviation of Vanishing Gradient Problem Using Parametric Activation Functions
Young Min Ko, Sun Woo Ko KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 10, pp. 407-420,
Oct.
2021
https://doi.org/10.3745/KTSDE.2021.10.10.407
Keywords: deep neural network, Vanishing Gradient Problem, Parametric Activation Function, Backpropagation, Learning
https://doi.org/10.3745/KTSDE.2021.10.10.407
Keywords: deep neural network, Vanishing Gradient Problem, Parametric Activation Function, Backpropagation, Learning
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
https://doi.org/10.3745/KTSDE.2020.9.3.91
Keywords: Visual Commonsense Reasoning, deep neural network, Graph Convolutional Network, Knowledge Graph Embedding
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
https://doi.org/10.3745/KTSDE.2019.8.9.379
Keywords: Vision-and-Language Navigation, deep neural network, Landmark, Attention, Progress Monitor
Single Document Extractive Summarization Based on Deep Neural Networks Using Linguistic Analysis Features
Gyoung Ho Lee, Kong Joo Lee KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 8, pp. 343-348,
Aug.
2019
https://doi.org/10.3745/KTSDE.2019.8.8.343
Keywords: Single Document Summarization, Extractive Summarization, Linguistic Analysis Features, Deep Neural Networks
https://doi.org/10.3745/KTSDE.2019.8.8.343
Keywords: Single Document Summarization, Extractive Summarization, Linguistic Analysis Features, Deep Neural Networks
Deep Neural Network-Based Scene Graph Generation for 3D Simulated Indoor Environments
Donghyeop Shin, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 5, pp. 205-212,
May.
2019
10.3745/KTSDE.2019.8.5.205
Keywords: Scene Graph, 3D Indoor Environment, deep neural network, AI2-THOR
10.3745/KTSDE.2019.8.5.205
Keywords: Scene Graph, 3D Indoor Environment, deep neural network, AI2-THOR
Design of a Deep Neural Network Model for Image Caption Generation
Dongha Kim, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 6, No. 4, pp. 203-210,
Apr.
2017
10.3745/KTSDE.2017.6.4.203
Keywords: Image Caption Generation, Deep Neural Network Model, Model Transfer, Multi-Modal Recurrent Neural Network
10.3745/KTSDE.2017.6.4.203
Keywords: Image Caption Generation, Deep Neural Network Model, Model Transfer, Multi-Modal Recurrent Neural Network
A Method of Activity Recognition in Small-Scale Activity Classification Problems via Optimization of Deep Neural Networks
Seunghyun Kim, Yeon-Ho Kim, Do-Yeon Kim KIPS Transactions on Software and Data Engineering,
Vol. 6, No. 3, pp. 155-160,
Mar.
2017
10.3745/KTSDE.2017.6.3.155
Keywords: Activity recognition, Deep Neural Network, Optimization
10.3745/KTSDE.2017.6.3.155
Keywords: Activity recognition, Deep Neural Network, Optimization