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Search: "[ keyword: Deep Learning ]" (67)
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
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 Study on the Deep Learning-Based Textbook Questionnaires Detection Experiment
Kim Tae Jong, Han Tae In, Ji Su Park KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 513-520,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.513
Keywords: Deep Learning, Textbook Questionnaires Detection Model, Detection Model, computer vision
https://doi.org/10.3745/KTSDE.2021.10.11.513
Keywords: Deep Learning, Textbook Questionnaires Detection Model, Detection Model, computer vision
Leased Line Traffic Prediction Using a Recurrent Deep Neural Network Model
In-Gyu Lee, Mi-Hwa Song KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 10, pp. 391-398,
Oct.
2021
https://doi.org/10.3745/KTSDE.2021.10.10.391
Keywords: Leased Line, Traffic Modeling, time series analysis, Deep Learning, RNN, LSTM
https://doi.org/10.3745/KTSDE.2021.10.10.391
Keywords: Leased Line, Traffic Modeling, time series analysis, Deep Learning, RNN, LSTM
Deep Learning Model Validation Method Based on Image Data Feature Coverage
Chang-Nam Lim, Ye-Seul Park, Jung-Won Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 375-384,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.375
Keywords: Deep Learning, Coverage Testing, Image Feature Extraction, Validation Method, Dataset Splitting Method
https://doi.org/10.3745/KTSDE.2021.10.9.375
Keywords: Deep Learning, Coverage Testing, Image Feature Extraction, Validation Method, Dataset Splitting Method
Deep Learning-Based Stock Fluctuation Prediction According to Overseas Indices and Trading Trend by Investors
Tae Seung Kim, Soowon Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 367-374,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.367
Keywords: Stock Price Fluctuation Prediction, Deep Learning, Overseas Indices, Trading Trends by Investor
https://doi.org/10.3745/KTSDE.2021.10.9.367
Keywords: Stock Price Fluctuation Prediction, Deep Learning, Overseas Indices, Trading Trends by Investor