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Search: "[ keyword: Deep Learning ]" (69)
    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


    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


    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


    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


    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


    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


    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


    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


    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


    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


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KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

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