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Search: "[ keyword: 심층 학습 ]" (6)
    General Relation Extraction Using Probabilistic Crossover
    Je-Seung Lee, Jae-Hoon Kim KIPS Transactions on Software and Data Engineering, Vol. 12, No. 8, pp. 371-380, Aug. 2023
    https://doi.org/10.3745/KTSDE.2023.12.8.371
    Keywords: Relation Extraction, Deep Learning, pre-trained language model, Probabilistic Crossover


    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


    1D CNN and Machine Learning Methods for Fall Detection
    Inkyung Kim, Daehee Kim, Song Noh, Jaekoo Lee KIPS Transactions on Software and Data Engineering, Vol. 10, No. 3, pp. 85-90, Mar. 2021
    https://doi.org/10.3745/KTSDE.2021.10.3.85
    Keywords: Machine Learning, Deep Learning, Fall Detection, 1D Convolutional Neural Network


    Souce Code Identification Using Deep Neural Network
    Jisu Rhim, Tamer Abuhmed KIPS Transactions on Software and Data Engineering, Vol. 8, No. 9, pp. 373-378, Sep. 2019
    https://doi.org/10.3745/KTSDE.2019.8.9.373
    Keywords: Computer Forensic, Frequency Based Embedding, TF-IDF, Deep Learning, CNN


    A Multilayer Perceptron-Based Electric Load Forecasting Scheme via Effective Recovering Missing Data
    Jihoon Moon, Sungwoo Park, Eenjun Hwang KIPS Transactions on Software and Data Engineering, Vol. 8, No. 2, pp. 67-78, Feb. 2019
    https://doi.org/10.3745/KTSDE.2019.8.2.67
    Keywords: Smart Grid, Electric Load Forecasting, Missing Data Handling, Deep Learning


    Automatic Object Extraction from Electronic Documents Using Deep Neural Network
    Heejin Jang, Yeonghun Chae, Sangwon Lee, Jinyong Jo KIPS Transactions on Software and Data Engineering, Vol. 7, No. 11, pp. 411-418, Nov. 2018
    10.3745/KTSDE.2018.7.11.411
    Keywords: Object Extraction, Deep Learning, Tensorflow, PDF Document


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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).

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