| Mixture of activation functions with extended min-max normalization for forex market prediction L Munkhdalai, T Munkhdalai, KH Park, HG Lee, M Li, KH Ryu IEEE Access 7, 183680-183691, 2019 | 93 | 2019 |
| An end-to-end adaptive input selection with dynamic weights for forecasting multivariate time series L Munkhdalai, T Munkhdalai, KH Park, T Amarbayasgalan, E Batbaatar, ... IEEE Access 7, 99099-99114, 2019 | 62 | 2019 |
| Reconstruction error based deep neural networks for coronary heart disease risk prediction T Amarbayasgalan, KH Park, JY Lee, KH Ryu PLoS One 14 (12), e0225991, 2019 | 33 | 2019 |
| Deep learning feature extraction approach for hematopoietic cancer subtype classification KH Park, E Batbaatar, Y Piao, N Theera-Umpon, KH Ryu International Journal of Environmental Research and Public Health 18 (4), 2197, 2021 | 22 | 2021 |
| A pattern-based academic reviewer recommendation combining author-paper and diversity metrics MIM Ishag, KH Park, JY Lee, KH Ryu IEEE Access 7, 16460-16475, 2019 | 22 | 2019 |
| A collaborative filtering recommendation system for rating prediction K Davagdorj, KH Park, KH Ryu Advances in Intelligent Information Hiding and Multimedia Signal Processing …, 2019 | 20 | 2019 |
| Comprehensive evaluation of differential methylation analysis methods for bisulfite sequencing data Y Piao, W Xu, KH Park, KH Ryu, R Xiang International Journal of Environmental Research and Public Health 18 (15), 7975, 2021 | 18 | 2021 |
| Deep learning-based demand forecasting for Korean postal delivery service L Munkhdalai, KH Park, E Batbaatar, N Theera-Umpon, KH Ryu IEEE Access 8, 188135-188145, 2020 | 17 | 2020 |
| A machine-learning approach for predicting success in smoking cessation intervention K Davagdorj, JS Lee, KH Park, KH Ryu 2019 IEEE 10th International Conference on Awareness Science and Technology …, 2019 | 13 | 2019 |
| Class-incremental learning with deep generative feature replay for DNA methylation-based cancer classification E Batbaatar, KH Park, T Amarbayasgalan, K Davagdorj, L Munkhdalai, ... IEEE Access 8, 210800-210815, 2020 | 12 | 2020 |
| A hybrid feature selection approach for applying to patients with diabetes mellitus: Knhanes 2013-2015 H Zheng, HW Park, D Li, KH Park, KH Ryu 2018 5th NAFOSTED Conference on Information and Computer Science (NICS), 110-113, 2018 | 10 | 2018 |
| Determining minimum feature number of classification on clear cell renal cell carcinoma clinical dataset KH Park, KS Ryu, KH Ryu 2016 International Conference on Machine Learning and Cybernetics (ICMLC) 2 …, 2016 | 8 | 2016 |
| Biobert based efficient clustering framework for biomedical document analysis K Davagdorj, KH Park, T Amarbayasgalan, L Munkhdalai, L Wang, M Li, ... International Conference on Genetic and Evolutionary Computing, 179-188, 2021 | 7 | 2021 |
| Efficient ensemble methods for classification on clear cell renal cell carcinoma clinical dataset KH Park, MIM Ishag, KS Ryu, M Li, KH Ryu Asian Conference on Intelligent Information and Database Systems, 235-242, 2018 | 6 | 2018 |
| Synthetic oversampling based decision support framework to solve class imbalance problem in smoking cessation program K Davagdorj, JS Lee, KH Park, P Van Huy, KH Ryu International Journal of Applied Science and Engineering 17 (3), 223-235, 2020 | 4 | 2020 |
| Identification of DNA methylation signatures for diagnosis of lung adenocarcinoma Y Piao, KH Park, KH Ryu, R Xiang 2019 IEEE 10th International Conference on Awareness Science and Technology …, 2019 | 4 | 2019 |
| Cost-sensitive neural network for prediction of hypertension using class imbalance dataset K Davagdorj, JS Lee, KH Park, KH Ryu Advances in Intelligent Information Hiding and Multimedia Signal Processing …, 2021 | 3 | 2021 |
| A subtype classification of hematopoietic cancer using machine learning approach KH Park, VH Pham, K Davagdorj, L Munkhdalai, KH Ryu Asian Conference on Intelligent Information and Database Systems, 113-121, 2021 | 3 | 2021 |
| Performance evaluation of contemporary classification algorithms for high risk patients with clear cell renal carcinoma KH Park, KS Ryu, HS Shon, KH Ryu TSDAA 2015 1 (1), 2015 | 3 | 2015 |
| A Majority Voting Ensemble Classifier to Predict Hypertension Based on KNHANES Dataset H Zheng, KH Park, JY Lee, KH Ryu International Journal of Design, Analysis and Tools for Integrated Circuits …, 2019 | 2 | 2019 |
Lkhagvadorj MunkhdalaiEmpasoft Institute of Technology在 chungbuk.ac.kr 的电子邮件经过验证
