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Search: "[ keyword: Supervised Learning ]" (11)
MITC: A Memory-Efficient Self-supervised Vision Transformer for Encrypted Traffic Classification via Selective Input Compression
Tae-yun Kim, Chan-hyung Kim, Jonghee M. Youn The Transactions of the Korea Information Processing Society,
Vol. 14, No. 10, pp. 746-755,
Oct.
2025
https://doi.org/10.3745/TKIPS.2025.14.10.746
Keywords: Encrypted traffic, AI, Vision Transformer, Self-Supervised Learning, Network Security
Keywords: Encrypted traffic, AI, Vision Transformer, Self-Supervised Learning, Network Security
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
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
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
Keywords: Anomaly Detection, Prediction Maintenance, Autoencoder, Unsupervised learning, Frequency Domain
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
Ethereum Phishing Scam Detection based on Graph Embedding and Semi-Supervised Learning
Yoo-Young Cheong, Gyoung-Tae Kim, Dong-Hyuk Im KIPS Transactions on Computer and Communication Systems,
Vol. 12, No. 5, pp. 165-170,
May.
2023
https://doi.org/10.3745/KTCCS.2023.12.5.165
Keywords: Blockchain, Ethereum, Phishing Scam, Graph Embedding, Semi-supervised learning
Keywords: Blockchain, Ethereum, Phishing Scam, Graph Embedding, Semi-supervised learning
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
A Study on the Method of Differentiating Between Elderly Walking and Non-Senior Walking Using Machine Learning Models
Ga Young Kim, Su Hwan Jeong, Soo Hyeon Eom, Seong Won Jang, So Yeon Lee, Sangil Cho KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 9, pp. 251-260,
Sep.
2021
https://doi.org/10.3745/KTCCS.2021.10.9.251
Keywords: Gait Analysis, Machine Learning, Supervised Learning, Neural Network Models
Keywords: Gait Analysis, Machine Learning, Supervised Learning, Neural Network Models