Digital Library
Search: "[ keyword: 학습 ]" (205)
De Novo Drug Design Using Self-Attention Based Variational Autoencoder
Piao Shengmin, Jonghwan Choi, Sangmin Seo, Kyeonghun Kim, Sanghyun Park KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 1, pp. 11-18,
Jan.
2022
https://doi.org/10.3745/KTSDE.2022.11.1.11
Keywords: De Novo Drug Design, SMILES, Deep Learning, self-attention, Variational AutoEncoder
https://doi.org/10.3745/KTSDE.2022.11.1.11
Keywords: De Novo Drug Design, SMILES, Deep Learning, self-attention, Variational AutoEncoder
Performance Improvement Method of Fully Connected Neural Network Using Combined Parametric Activation Functions
Young Min Ko, Peng Hang Li, Sun Woo Ko KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 1, pp. 1-10,
Jan.
2022
https://doi.org/10.3745/KTSDE.2022.11.1.1
Keywords: Fully Connected Neural Network, Nonlinear Activation Function, Combined Parametric Activation Function, Learning
https://doi.org/10.3745/KTSDE.2022.11.1.1
Keywords: Fully Connected Neural Network, Nonlinear Activation Function, Combined Parametric Activation Function, Learning
A Comparative Study on Game-Score Prediction Models Using Compuational Thinking Education Game Data
Yeongwook Yang KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 529-534,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.529
Keywords: Computational Thinking, prediction, Game Based Learning, Regression
https://doi.org/10.3745/KTSDE.2021.10.11.529
Keywords: Computational Thinking, prediction, Game Based Learning, Regression
Adversarial Learning-Based Image Correction Methodology for Deep Learning Analysis of Heterogeneous Images
Junwoo Kim, Namgyu Kim KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 457-464,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.457
Keywords: Adversarial Learning, Color Constancy, Heterogeneous Images, Illumination Estimation, Image Correction
https://doi.org/10.3745/KTSDE.2021.10.11.457
Keywords: Adversarial Learning, Color Constancy, Heterogeneous Images, Illumination Estimation, Image Correction
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
Bayesian Optimization Framework for Improved Cross-Version Defect Prediction
Jeongwhan Choi, Duksan Ryu KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 339-348,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.339
Keywords: Software Defect Prediction, Bayesian Optimization, Transfer Learning, Cross-Version Defect Prediction
https://doi.org/10.3745/KTSDE.2021.10.9.339
Keywords: Software Defect Prediction, Bayesian Optimization, Transfer Learning, Cross-Version Defect Prediction
Host-Based Intrusion Detection Model Using Few-Shot Learning
Park DaeKyeong, Shin DongIl, Shin DongKyoo, Kim Sangsoo KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 7, pp. 271-278,
Jul.
2021
https://doi.org/10.3745/KTSDE.2021.10.7.271
Keywords: Machine Learning, LID-DS, Few-Shot Learning, Siamese Network, HIDS
https://doi.org/10.3745/KTSDE.2021.10.7.271
Keywords: Machine Learning, LID-DS, Few-Shot Learning, Siamese Network, HIDS
The Design and Practice of Disaster Response RL Environment Using Dimension Reduction Method for Training Performance Enhancement
Sangho Yeo, Seungjun Lee, Sangyoon Oh KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 7, pp. 263-270,
Jul.
2021
https://doi.org/10.3745/KTSDE.2021.10.7.263
Keywords: Reinforcement Learning Environment, Disaster Response Simulation, Dimension Reduction Method, PCA
https://doi.org/10.3745/KTSDE.2021.10.7.263
Keywords: Reinforcement Learning Environment, Disaster Response Simulation, Dimension Reduction Method, PCA
Evaluation of Human Demonstration Augmented Deep Reinforcement Learning Policies via Object Manipulation with an Anthropomorphic Robot Hand
Na Hyeon Park, Ji Heon Oh, Ga Hyun Ryu, Patricio Rivera Lopez, Edwin Valarezo Añazco, Tae Seong Kim KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 5, pp. 179-186,
May.
2021
https://doi.org/10.3745/KTSDE.2021.10.5.179
Keywords: Anthropomorphic Robot Hand, Deep Reinforcement Learning, Human Demonstration, Policy Optimization
https://doi.org/10.3745/KTSDE.2021.10.5.179
Keywords: Anthropomorphic Robot Hand, Deep Reinforcement Learning, Human Demonstration, Policy Optimization
C-COMA: A Continual Reinforcement Learning Model for Dynamic Multiagent Environments
Kyueyeol Jung, Incheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 4, pp. 143-152,
Apr.
2021
https://doi.org/10.3745/KTSDE.2021.10.4.143
Keywords: Multiagent Reinforcement Learning, Dynamic Environment, Continual Learning, Starcraft II
https://doi.org/10.3745/KTSDE.2021.10.4.143
Keywords: Multiagent Reinforcement Learning, Dynamic Environment, Continual Learning, Starcraft II
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
