Digital Library
Search: "[ keyword: Transfer Learning ]" (5)
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
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
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
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
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
10.3745/KTSDE.2018.7.3.77
Keywords: Cost-Sensitive Boosting, Cross-Project Defect Prediction, Harmony Search, Search-Based Software Engineering, Transfer Learning
Indexing
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).
