Group recommendation system: Focusing on home group user in TV domain. - Noo-Ri Kim; Jee-Hyong Lee 001 (SCIS&ISIS, 2014)

Comparison of techniques for time aware TV channel recommendation. - Sungtak Oh; Noo-Ri Kim; Jaedong Lee; Jee-Hyong Lee 001 (SCIS&ISIS, 2014)

An over-sampling technique with rejection for imbalanced class learning. - Jaedong Lee; Noo-Ri Kim; Jee-Hyong Lee 001 (IMCOM, 2015)

A Behavior Analysis-Based Game Bot Detection Approach Considering Various Play Styles. - Yeounoh Chung; Chang Yong Park; Noo-Ri Kim; Hana Cho; Tae Bok Yoon; Hunjoo Lee; Jee-Hyong Lee 001 (CoRR, 2015)

Performance Analysis of Group Recommendation Systems in TV Domains. - Noo-Ri Kim; Jee-Hyong Lee 001 (Int. J. Fuzzy Log. Intell. Syst., 2015)

Detection of Content Changes Based on Deep Neural Networks. - Noo-Ri Kim; YunSeok Choi; HyunSoo Lee; Jee-Hyong Lee 001 (CSA/CUTE, 2016)

An approach for multi-label classification by directed acyclic graph with label correlation maximization. - Jaedong Lee; Heera Kim; Noo-Ri Kim; Jee-Hyong Lee 001 (Inf. Sci., 2016)

Sentiment Analysis in Microblogs Using HMMs with Syntactic and Sentimental Information. - Noo-Ri Kim; Kyoungmin Kim 004; Jee-Hyong Lee 001 (Int. J. Fuzzy Log. Intell. Syst., 2017)

Deep Neural Network Self-training Based on Unsupervised Learning and Dropout. - HyeWoo Lee; Noo-Ri Kim; Jee-Hyong Lee 001 (Int. J. Fuzzy Log. Intell. Syst., 2017)

Improved Neighborhood Search for Collaborative Filtering. - Yeounoh Chung; Noo-Ri Kim; Chang Yong Park (Int. J. Fuzzy Log. Intell. Syst., 2018)

Detection of document modification based on deep neural networks. - Noo-Ri Kim; YunSeok Choi; HyunSoo Lee; Jae-Young Choi; Suntae Kim; Jeong-Ah Kim; YoungWha Cho; Jee-Hyong Lee 001 (J. Ambient Intell. Humaniz. Comput., 2018)

Adversarial Detection with Gaussian Process Regression-based Detector. - Sangheon Lee; Noo-Ri Kim; YoungWha Cho; Jae-Young Choi; Suntae Kim; Jeong-Ah Kim; Jee-Hyong Lee 001 (KSII Trans. Internet Inf. Syst., 2019)

Propagation Regularizer for Semi-supervised Learning with Extremely Scarce Labeled Samples. - Noo-Ri Kim; Jee-Hyong Lee 001 (CVPR, 2022)

Learning with Structural Labels for Learning with Noisy Labels. - Noo-Ri Kim; Jin-Seop Lee; Jee-Hyong Lee 001 (CVPR, 2024)

ExMatch: Self-guided Exploitation for Semi-supervised Learning with Scarce Labeled Samples. - Noo-Ri Kim; Jin-Seop Lee; Jee-Hyong Lee 001 (ECCV (85), 2024)

IGNORE: Information Gap-Based False Negative Loss Rejection for Single Positive Multi-Label Learning. - GyeongRyeol Song; Noo-Ri Kim; Jin-Seop Lee; Jee-Hyong Lee 001 (ECCV (34), 2024)

DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization. - Jin-Seop Lee; Noo-Ri Kim; Jee-Hyong Lee 001 (AAAI, 2025)

Feature-Level and Spatial-Level Activation Expansion for Weakly-Supervised Semantic Segmentation. - Junsu Choi; Jin-Seop Lee; Noo-Ri Kim; SuHyun Yoon; Jee-Hyong Lee 001 (WACV, 2025)