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Search: "[ keyword: Supervised Learning ]" (15)
    Machine Learning-Based Gambling Addiction Risk Prediction Model
    Lee Seo Jin, Choi Ji Woong, Hong Seung Hyeon, Kim Jongwan The Transactions of the Korea Information Processing Society, Vol. 14, No. 6, pp. 417-423, Jun. 2025
    https://doi.org/10.3745/TKIPS.2025.14.6.417
    Keywords: Machine Learning, Supervised Learning, Gambling Addiction, Logistic Regression, Counseling Psychology


    Self-Supervised Waste Image Classification Model Considering Intra-Class Diversity
    Hyuksoon Choi, Jinhwan Yang, Nammee Moon, Jinah Kim The Transactions of the Korea Information Processing Society, Vol. 14, No. 5, pp. 343-351, May. 2025
    https://doi.org/10.3745/TKIPS.2025.14.5.343
    Keywords: Self-Supervised Learning, Waste Classification, Reconstruction Learning, contrastive learning, representation learning


    Improved Focused Sampling for Class Imbalance Problem
    Man Sun Kim , Hyung Jeong Yang , Soo Hyung Kim , Wooi Ping Cheah The KIPS Transactions:PartB , Vol. 14, No. 4, pp. 287-294, Aug. 2007
    10.3745/KIPSTB.2007.14.4.287


    Improving the Classification Accuracy Using Unlabeled Data: A Naive Bayesian Case
    Chang Hwan Lee The KIPS Transactions:PartB , Vol. 13, No. 4, pp. 457-462, Aug. 2006
    10.3745/KIPSTB.2006.13.4.457


    Autoencoder Based N-Segmentation Frequency Domain Anomaly Detection for Optimization of Facility Defect Identification
    Kichang Park, Yongkwan Lee The Transactions of the Korea Information Processing Society, Vol. 13, No. 3, pp. 130-139, Mar. 2024
    https://doi.org/10.3745/TKIPS.2024.13.3.130
    Keywords: Anomaly Detection, Prediction Maintenance, Autoencoder, Unsupervised learning, Frequency Domain


    Comparative Analysis of Self-supervised Deephashing Models for Efficient Image Retrieval System
    Kim Soo In, Jeon Young Jin, Lee Sang Bum, Kim Won Gyum KIPS Transactions on Software and Data Engineering, Vol. 12, No. 12, pp. 519-524, Dec. 2023
    https://doi.org/10.3745/KTSDE.2023.12.12.519
    Keywords: Deephashing, Image retrieval, Variational Inference, Self-Supervised Learning, Attention Mechanism


    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


    Traffic Attributes Correlation Mechanism based on Self-Organizing Maps for Real-Time Intrusion Detection
    Kyoung Ae Hwang , Ha Young Oh , Ji Young Lim , Ki Joon Chae , Jung Chan Nah The KIPS Transactions:PartC, Vol. 12, No. 5, pp. 649-658, Oct. 2005
    10.3745/KIPSTC.2005.12.5.649


    Construction of Linearly Aliened Corpus Using Unsupervised Learning
    Kong Joo Lee , Jae Hoon Kim The KIPS Transactions:PartB , Vol. 11, No. 3, pp. 387-394, Jun. 2004
    10.3745/KIPSTB.2004.11.3.387


    Network Intrusion Detection System Using Feature Extraction Based on AutoEncoder in IOT environment
    Joohwa Lee, Keehyun Park KIPS Transactions on Software and Data Engineering, Vol. 8, No. 12, pp. 483-490, Dec. 2019
    https://doi.org/10.3745/KTSDE.2019.8.12.483
    Keywords: NIDS, IoT, Unsupervised learning, Machine Learning, Autoencoder


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