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    Prediction of Cryptocurrency Price Trend Using Gradient Boosting
    Joo-Seong Heo, Do-Hyung Kwon, Ju-Bong Kim, Youn-Hee Han, Chae-Hun An KIPS Transactions on Software and Data Engineering, Vol. 7, No. 10, pp. 387-396, Oct. 2018
    10.3745/KTSDE.2018.7.10.387
    Keywords: Price Prediction, Cryptocurrency, Machine Learning, Supervised Learning, Gradient Boosting


    Incremental Ensemble Learning for The Combination of Multiple Models of Locally Weighted Regression Using Genetic Algorithm
    Kim Sang Hun, Chung Byung Hee, Lee Gun Ho KIPS Transactions on Software and Data Engineering, Vol. 7, No. 9, pp. 351-360, Sep. 2018
    10.3745/KTSDE.2018.7.9.351
    Keywords: Locally Weighted Regression, Multi Model Selection, Incremental Ensemble Learning, genetic algorithm


    Mortality Prediction of Older Adults Admitted to the Emergency Department
    Junhyeok Park, Songwook Lee KIPS Transactions on Software and Data Engineering, Vol. 7, No. 7, pp. 275-280, Jul. 2018
    10.3745/KTSDE.2018.7.7.275
    Keywords: Mortality Prediction, Support Vector Machine, Artificial neural network, Deep Learning


    Comparison of Performance Between Incremental and Batch Learning Method for Information Analysis of Cyber Surveillance and Reconnaissance
    Gyeong-Il Shin, Hosang Yooun, DongIl Shin, DongKyoo Shin KIPS Transactions on Software and Data Engineering, Vol. 7, No. 3, pp. 99-106, Mar. 2018
    10.3745/KTSDE.2018.7.3.99
    Keywords: Cyber ISR, Incremental Learning Method, Batch Learning Method


    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


    ORMN: A Deep Neural Network Model for Referring Expression Comprehension
    Donghyeop Shin, Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 7, No. 2, pp. 69-76, Feb. 2018
    10.3745/KTSDE.2018.7.2.69
    Keywords: Referring Expression Comprehension, Deep Learning, Contextual Information, Weighted Composition


    A Deep Neural Network Model Based on a Mutation Operator
    Jeon Seung Ho, Moon Jong Sub KIPS Transactions on Software and Data Engineering, Vol. 6, No. 12, pp. 573-580, Dec. 2017
    10.3745/KTSDE.2017.6.12.573
    Keywords: Deep Learning, Generalization, Denoising, Mutation Operation


    A Chatter Bot for a Task-Oriented Dialogue System
    Jin-Xia Huang, Oh-Woog Kwon, Kyung-Soon Lee, Young-Kil Kim KIPS Transactions on Software and Data Engineering, Vol. 6, No. 11, pp. 499-506, Nov. 2017
    10.3745/KTSDE.2017.6.11.499
    Keywords: Dialogue System, Task-Oriented Dialogue System, Chatter Bot, Computer-Assisted Language Learning System


    A Novel of Data Clustering Architecture for Outlier Detection to Electric Power Data Analysis
    Se Hoon Jung, Chang Sun Shin, Young Yun Cho, Jang Woo Park, Myung Hye Park, Young Hyun Kim, Seung Bae Lee, Chun Bo Sim KIPS Transactions on Software and Data Engineering, Vol. 6, No. 10, pp. 465-472, Oct. 2017
    10.3745/KTSDE.2017.6.10.465
    Keywords: Data Analysis, Electric Power, Unsupervised Learning, Outlier, PCA


    Development and Application of Software Education Program Based on Blended Learning for Improving Computational Thinking of Pre-Service Elementary Teachers
    Ui-Sung Song, Joon-Min Gil KIPS Transactions on Software and Data Engineering, Vol. 6, No. 7, pp. 353-360, Jul. 2017
    10.3745/KTSDE.2017.6.7.353
    Keywords: Blended Learning, SW Education, Scratch, Pre-service Elementary Teacher