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Search: "[ keyword: Attention ]" (16)
    Development of Mobile Application Prototype Inducing Learner’s Attention
    Kyoung Eui Roh, Chan Haeng Lee, Ji Su Park, Jin Gon Shon KIPS Transactions on Software and Data Engineering, Vol. 11, No. 9, pp. 391-398, Sep. 2022
    https://doi.org/10.3745/KTSDE.2022.11.9.391
    Keywords: Learner’s Attention, Learning Effect, Learner’s Emotion, Non face-to-face class, application


    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


    Sentence Recommendation Using Beam Search in a Military Intelligent Image Analysis System
    Hyung-Sun Na, Tae-Hyeon Jeon, Hyung-Seok Kang, Jinhyun Ahn, Dong-Hyuk Im KIPS Transactions on Software and Data Engineering, Vol. 10, No. 11, pp. 521-528, Nov. 2021
    https://doi.org/10.3745/KTSDE.2021.10.11.521
    Keywords: NLP, Beam Search, Military, Seq2seq, Attention Mechanism


    Distracted Driver Detection and Characteristic Area Localization by Combining CAM-Based Hierarchical and Horizontal Classification Models
    Sooyeon Go, Yeongwoo Choi KIPS Transactions on Software and Data Engineering, Vol. 10, No. 11, pp. 439-448, Nov. 2021
    https://doi.org/10.3745/KTSDE.2021.10.11.439  
    Keywords: Distracted Driver Detection, Convolutional neural networks, Class Activation Maps, Attention Area Localization


    Korean Dependency Parsing Using Stack-Pointer Networksand Subtree Information
    Yong-Seok Choi, Kong Joo Lee KIPS Transactions on Software and Data Engineering, Vol. 10, No. 6, pp. 235-242, Jun. 2021
    https://doi.org/10.3745/KTSDE.2021.10.6.235  
    Keywords: Stack-Pointer Networks, Korean Dependency Parser, Graph Attention Networks, Subtree, Pre-trained Word RepresentationModel, Everyone’s Corpus


    LVLN: A Landmark-Based Deep Neural Network Model for Vision-and-Language Navigation
    Jisu Hwang, Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 8, No. 9, pp. 379-390, Sep. 2019
    https://doi.org/10.3745/KTSDE.2019.8.9.379
    Keywords: Vision-and-Language Navigation, deep neural network, Landmark, Attention, Progress Monitor