| Deep neural network self-training based on unsupervised learning and dropout HW Lee, N Kim, JH Lee International Journal of Fuzzy Logic and Intelligent Systems 17 (1), 1-9, 2017 | 68 | 2017 |
| An approach for multi-label classification by directed acyclic graph with label correlation maximization J Lee, H Kim, N Kim, JH Lee Information Sciences 351, 101-114, 2016 | 54 | 2016 |
| Game bot detection approach based on behavior analysis and consideration of various play styles Y Chung, C Park, N Kim, H Cho, T Yoon, H Lee, JH Lee ETRI Journal 35 (6), 1058-1067, 2013 | 44 | 2013 |
| An over-sampling technique with rejection for imbalanced class learning J Lee, N Kim, JH Lee Proceedings of the 9th international conference on ubiquitous information …, 2015 | 30 | 2015 |
| Group recommendation system: Focusing on home group user in TV domain N Kim, JH Lee 2014 Joint 7th International Conference on Soft Computing and Intelligent …, 2014 | 14 | 2014 |
| A television recommender system learning a user’s time-aware watching patterns using quadratic programming N Kim, S Oh, JH Lee Applied Sciences 8 (8), 1323, 2018 | 13 | 2018 |
| Improved neighborhood search for collaborative filtering Y Chung, N Kim, C Park, JH Lee International Journal of Fuzzy Logic and Intelligent Systems 18 (1), 29-40, 2018 | 12 | 2018 |
| A behavior analysis-based game bot detection approach considering various play styles Y Chung, C Park, NR Kim, H Cho, T Yoon, H Lee, JH Lee arXiv preprint arXiv:1509.02458, 2015 | 11 | 2015 |
| Comparison of techniques for time aware TV channel recommendation S Oh, N Kim, J Lee, JH Lee 2014 Joint 7th International Conference on Soft Computing and Intelligent …, 2014 | 10 | 2014 |
| Sentiment analysis in microblogs using HMMs with syntactic and sentimental information NR Kim, K Kim, JH Lee International Journal of Fuzzy Logic and Intelligent Systems 17 (4), 329-336, 2017 | 9 | 2017 |
| Adversarial detection with gaussian process regression-based detector S Lee, N Kim, Y Cho, JY Choi, S Kim, JA Kim, JH Lee KSII Transactions on Internet and Information Systems (TIIS) 13 (8), 4285-4299, 2019 | 8 | 2019 |
| Propagation regularizer for semi-supervised learning with extremely scarce labeled samples N Kim, JH Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 6 | 2022 |
| Detection of document modification based on deep neural networks N Kim, YS Choi, HS Lee, JY Choi, S Kim, JA Kim, Y Cho, JH Lee Journal of Ambient Intelligence and Humanized Computing 9, 1089-1096, 2018 | 6 | 2018 |
| Heterogeneous information network based TV program recommendation MU Chaudhry, S Oh, N Kim, JH Lee Proceedings of the 16th International Symposium on Advanced Intelligent …, 2015 | 5 | 2015 |
| Performance analysis of group recommendation systems in TV domains N Kim, JH Lee International Journal of Fuzzy Logic and Intelligent Systems 15 (1), 45-52, 2015 | 5 | 2015 |
| Research Trends in Context-aware Recommender Systems NR Kim, HB Bang, B Kim, SH Lee, JH Lee Communications of KIISE 34 (6), 22-29, 2016 | 4 | 2016 |
| Attention Reader Model for Abstractive Text Summarization H Lee, N Kim, JH Lee Proc. of 13th Asia Pacific Int. Conf. on Information Science and Technology …, 2018 | 3 | 2018 |
| Document Summarization Considering Entailment Relation between Sentences Y Kwon, N Kim, JH Lee Journal of KIISE 44 (2), 179-185, 2017 | 2 | 2017 |
| Detection of content changes based on deep neural networks N Kim, YS Choi, HS Lee, JH Lee Advances in Computer Science and Ubiquitous Computing: CSA-CUTE2016 8, 806-811, 2017 | 2 | 2017 |
| TV program recommendation method using LDA clustering C Park, Y Chung, N Kim, J Lee Proceedings of the Korea Information Processing Society Conference, 272-274, 2013 | 2 | 2013 |
