Digital Library
Search: "[ keyword: Learning ]" (258)
Comparison of Korean Classification Models’ Korean Essay Score Range Prediction Performance
Heeryon Cho, Hyeonyeol Im, Yumi Yi, Junwoo Cha KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 3, pp. 133-140,
Mar.
2022
https://doi.org/10.3745/KTSDE.2022.11.3.133
Keywords: Deep Learning-Based Korean Language Model, KoBERT, KcBERT, KR-BERT, Document Classification
https://doi.org/10.3745/KTSDE.2022.11.3.133
Keywords: Deep Learning-Based Korean Language Model, KoBERT, KcBERT, KR-BERT, Document Classification
Image-Based Application Testing Method Using Faster D2-Net for Identification of the Same Image
Chun Hye-Won, Jo Min-Seok, Han Sung-Soo, Jeong Chang-Sung KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 2, pp. 87-92,
Feb.
2022
https://doi.org/10.3745/KTSDE.2022.11.2.87
Keywords: Application Test, Deep Learning, Image matching, Feature matching, Image Compare
https://doi.org/10.3745/KTSDE.2022.11.2.87
Keywords: Application Test, Deep Learning, Image matching, Feature matching, Image Compare
Temporal Fusion Transformers and Deep Learning Methodsfor Multi-Horizon Time Series Forecasting
InKyung Kim, DaeHee Kim, Jaekoo Lee KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 2, pp. 81-86,
Feb.
2022
https://doi.org/10.3745/KTSDE.2022.11.2.81
Keywords: Time Series, Multi-variate Data Analysis, Multi-horizon Forecasting, Deep Learning, Neural Networks
https://doi.org/10.3745/KTSDE.2022.11.2.81
Keywords: Time Series, Multi-variate Data Analysis, Multi-horizon Forecasting, Deep Learning, Neural Networks
Disease Prediction By Learning Clinical Concept Relations
Seung-Hyeon Jo, Kyung-Soon Lee KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 1, pp. 35-40,
Jan.
2022
https://doi.org/10.3745/KTSDE.2022.11.1.35
Keywords: Cninical Decision Support, Clinical Concept Relation, Deep Learning, Disaese Prediction, Query Expansion
https://doi.org/10.3745/KTSDE.2022.11.1.35
Keywords: Cninical Decision Support, Clinical Concept Relation, Deep Learning, Disaese Prediction, Query Expansion
Single Shot Detector for Detecting Clickable Object in Mobile Device Screen
Min-Seok Jo, Hye-won Chun, Seong-Soo Han, Chang-Sung Jeong KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 1, pp. 29-34,
Jan.
2022
https://doi.org/10.3745/KTSDE.2022.11.1.29
Keywords: Test Automation, Android Object Detection, Mobile Screen Detection, computer vision, Deep Learning
https://doi.org/10.3745/KTSDE.2022.11.1.29
Keywords: Test Automation, Android Object Detection, Mobile Screen Detection, computer vision, Deep Learning
Understanding the Association Between Cryptocurrency Price Predictive Performance and Input Features
Jaehyun Park, Yeong-Seok Seo KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 1, pp. 19-28,
Jan.
2022
https://doi.org/10.3745/KTSDE.2022.11.1.19
Keywords: LSTM, Deep Learning, Input Feature, Cryptocurrency, Price Prediction, Data Analysis
https://doi.org/10.3745/KTSDE.2022.11.1.19
Keywords: LSTM, Deep Learning, Input Feature, Cryptocurrency, Price Prediction, Data Analysis
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 Study on Facial Skin Disease Recognition Using Multi-Label Classification
Chae Hyun Lim, Son Min Ji, Kim Myung Ho KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 12, pp. 555-560,
Dec.
2021
https://doi.org/10.3745/KTSDE.2021.10.12.555
Keywords: Deep Learning, Multi-label classification, Skin Diseases
https://doi.org/10.3745/KTSDE.2021.10.12.555
Keywords: Deep Learning, Multi-label classification, Skin Diseases
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
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).
