Digital Library
Search: "[ keyword: 학습 ]" (205)
TAGS: Text Augmentation with Generation and Selection
Kim Kyung Min, Dong Hwan Kim, Seongung Jo, Heung-Seon Oh, Myeong-Ha Hwang KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 10, pp. 455-460,
Oct.
2023
https://doi.org/10.3745/KTSDE.2023.12.10.455
Keywords: Natural Language Process, Artificial intelligence, Large Language Model, Few-Shot Learning, Text Augmentation
https://doi.org/10.3745/KTSDE.2023.12.10.455
Keywords: Natural Language Process, Artificial intelligence, Large Language Model, Few-Shot Learning, Text Augmentation
Multi-Object Goal Visual Navigation Based on Multimodal Context Fusion
Jeong Hyun Choi, In Cheol Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 9, pp. 407-418,
Sep.
2023
https://doi.org/10.3745/KTSDE.2023.12.9.407
Keywords: Multi-Object Goal Visual Navigation, Deep Reinforcement Learning, Multimodal Context Fusion, Global Mapping
https://doi.org/10.3745/KTSDE.2023.12.9.407
Keywords: Multi-Object Goal Visual Navigation, Deep Reinforcement Learning, Multimodal Context Fusion, Global Mapping
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
https://doi.org/10.3745/KTSDE.2023.12.8.371
Keywords: Relation Extraction, Deep Learning, pre-trained language model, Probabilistic Crossover
Intrusion Detection Method Using Unsupervised Learning-Based Embedding and Autoencoder
Junwoo Lee, Kangseok Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 8, pp. 355-364,
Aug.
2023
https://doi.org/10.3745/KTSDE.2023.12.8.355
Keywords: Anomaly Detection, Unsupervised learning, Embedding Techniques, Autoencoder, Time-Series Data
https://doi.org/10.3745/KTSDE.2023.12.8.355
Keywords: Anomaly Detection, Unsupervised learning, Embedding Techniques, Autoencoder, Time-Series Data
Ensemble Learning-Based Prediction of Good Sellers in Overseas Sales of Domestic Books and Keyword Analysis of Reviews of the Good Sellers
Do Young Kim, Na Yeon Kim, Hyon Hee Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 4, pp. 173-178,
Apr.
2023
https://doi.org/10.3745/KTSDE.2023.12.4.173
Keywords: Ensemble learning, Good Seller Prediction, Book Review Analysis, Text Mining, Keyword Analysis
https://doi.org/10.3745/KTSDE.2023.12.4.173
Keywords: Ensemble learning, Good Seller Prediction, Book Review Analysis, Text Mining, Keyword Analysis
Building Sentence Meaning Identification Dataset Based on Social Problem-Solving R&D Reports
Hyeonho Shin, Seonki Jeong, Hong-Woo Chun, Lee-Nam Kwon, Jae-Min Lee, Kanghee Park, Sung-Pil Choi KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 4, pp. 159-172,
Apr.
2023
https://doi.org/10.3745/KTSDE.2023.12.4.159
Keywords: Social Problem-Solving Research, Natural Language Process, Data Building, pre-trained language model
https://doi.org/10.3745/KTSDE.2023.12.4.159
Keywords: Social Problem-Solving Research, Natural Language Process, Data Building, pre-trained language model
Learning Data Model Definition and Machine Learning Analysis for Data-Based Li-Ion Battery Performance Prediction
Byoungwook Kim, Ji Su Park, Hong-Jun Jang KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 3, pp. 133-140,
Mar.
2023
https://doi.org/10.3745/KTSDE.2023.12.3.133
Keywords: Lithium-ion battery, Battery Performance Prediction, Machine Learning, Learning Data Model
https://doi.org/10.3745/KTSDE.2023.12.3.133
Keywords: Lithium-ion battery, Battery Performance Prediction, Machine Learning, Learning Data Model
Comparison of Machine Learning-Based Greenhouse VPD Prediction Models
Jang Kyeong Min, Lee Myeong Bae, Lim Jong Hyun, Oh Han Byeol, Shin Chang Sun, Park Jang Woo KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 3, pp. 125-132,
Mar.
2023
https://doi.org/10.3745/KTSDE.2023.12.3.125
Keywords: Machine Learning, Vapor Pressure Deficit(VPD), Prediction Model, Smart Farm, Light Gradient Boosting Machine(LGBM), RandomForest
https://doi.org/10.3745/KTSDE.2023.12.3.125
Keywords: Machine Learning, Vapor Pressure Deficit(VPD), Prediction Model, Smart Farm, Light Gradient Boosting Machine(LGBM), RandomForest
CKFont2: An Improved Few-Shot Hangul Font Generation Model Based on Hangul Composability
Jangkyoung Park, Ammar Ul Hassan, Jaeyoung Choi KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 12, pp. 499-508,
Dec.
2022
https://doi.org/10.3745/KTSDE.2022.11.12.499
Keywords: Deep Learning, Few-shot, Initial/Middle/Final Components, CKFont, Korean 14 Characters
https://doi.org/10.3745/KTSDE.2022.11.12.499
Keywords: Deep Learning, Few-shot, Initial/Middle/Final Components, CKFont, Korean 14 Characters
A Specification-Based Methodology for Data Collection in Artificial Intelligence System
Donggi Kim, Byunggi Choi, Jaeho Lee KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 11, pp. 479-488,
Nov.
2022
https://doi.org/10.3745/KTSDE.2022.11.11.479
Keywords: Intelligence System, Machine Learning, Data Collection, Automation, Reusability
https://doi.org/10.3745/KTSDE.2022.11.11.479
Keywords: Intelligence System, Machine Learning, Data Collection, Automation, Reusability
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).
