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Search: "[ keyword: Transfer Learning ]" (6)
    A Study on the Optimization of Fire Awareness Model Based on Convolutional Neural Network: Layer Importance Evaluation-Based Approach
    Won Jin, Mi-Hwa Song The Transactions of the Korea Information Processing Society, Vol. 13, No. 9, pp. 444-452, Sep. 2024
    https://doi.org/10.3745/TKIPS.2024.13.9.444
    Keywords: Layer Importance Evaluation, transfer learning model, CNN Optimization, Real-Time Fire Detection, Contribution


    Korean Ironic Expression Detector
    Seung Ju Bang, Yo-Han Park, Jee Eun Kim, Kong Joo Lee The Transactions of the Korea Information Processing Society, Vol. 13, No. 3, pp. 148-155, Mar. 2024
    https://doi.org/10.3745/TKIPS.2024.13.3.148  
    Keywords: Irony Detection, KoBERT, ChatGPT, Transfer Learning, MultiTask Learning


    A Study on Leakage Detection Technique Using Transfer Learning-Based Feature Fusion
    YuJin Han, Tae-Jin Park, Jonghyuk Lee, Ji-Hoon Bae The Transactions of the Korea Information Processing Society, Vol. 13, No. 2, pp. 41-47, Feb. 2024
    https://doi.org/10.3745/TKIPS.2024.13.2.41
    Keywords: Pipe Leak Detection, Deep Learning, 1D CNN, feature fusion, Transfer Learning


    Korean Morphological Analysis Method Based on BERT-Fused Transformer Model
    Changjae Lee, Dongyul Ra KIPS Transactions on Software and Data Engineering, Vol. 11, No. 4, pp. 169-178, Apr. 2022
    https://doi.org/10.3745/KTSDE.2022.11.4.169  
    Keywords: Natural Language Processing, Morphological Analysis, Transfer Learning, Transformer, BERT-fused Model


    Bayesian Optimization Framework for Improved Cross-Version Defect Prediction
    Jeongwhan Choi, Duksan Ryu KIPS Transactions on Software and Data Engineering, Vol. 10, No. 9, pp. 339-348, Sep. 2021
    https://doi.org/10.3745/KTSDE.2021.10.9.339
    Keywords: Software Defect Prediction, Bayesian Optimization, Transfer Learning, Cross-Version Defect Prediction


    Effective Harmony Search-Based Optimization of Cost-Sensitive Boosting for Improving the Performance of Cross-Project Defect Prediction
    Duksan Ryu, Jongmoon Baik KIPS Transactions on Software and Data Engineering, Vol. 7, No. 3, pp. 77-90, Mar. 2018
    10.3745/KTSDE.2018.7.3.77
    Keywords: Cost-Sensitive Boosting, Cross-Project Defect Prediction, Harmony Search, Search-Based Software Engineering, Transfer Learning


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