An empirical comparison of machine-learning methods on bank client credit assessments L Munkhdalai, T Munkhdalai, OE Namsrai, JY Lee, KH Ryu Sustainability 11 (3), 699, 2019 | 162 | 2019 |
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 | 95 | 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 | 65 | 2019 |
GEV-NN: A deep neural network architecture for class imbalance problem in binary classification L Munkhdalai, T Munkhdalai, KH Ryu Knowledge-Based Systems 194, 105534, 2020 | 42 | 2020 |
A simulation-based study on the comparison of statistical and time series forecasting methods for early detection of infectious disease outbreaks E Yang, HW Park, YH Choi, J Kim, L Munkhdalai, I Musa, KH Ryu International journal of environmental research and public health 15 (5), 966, 2018 | 37 | 2018 |
A hybrid credit scoring model using neural networks and logistic regression L Munkhdalai, JY Lee, KH Ryu Advances in Intelligent Information Hiding and Multimedia Signal Processing …, 2019 | 26 | 2019 |
Advanced neural network approach, its explanation with lime for credit scoring application L Munkhdalai, L Wang, HW Park, KH Ryu Asian conference on intelligent information and database systems, 407-419, 2019 | 25 | 2019 |
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 |
Recurrent neural network-augmented locally adaptive interpretable regression for multivariate time-series forecasting L Munkhdalai, T Munkhdalai, VH Pham, M Li, KH Ryu, N Theera-Umpon IEEE Access 10, 11871-11885, 2022 | 13 | 2022 |
Global research on syndromic surveillance from 1993 to 2017: bibliometric analysis and visualization I Musa, HW Park, L Munkhdalai, KH Ryu Sustainability 10 (10), 3414, 2018 | 13 | 2018 |
Application of a Mobile Chronic Disease Health‐Care System for Hypertension Based on Big Data Platforms D Li, HW Park, E Batbaatar, L Munkhdalai, I Musa, M Li, KH Ryu Journal of Sensors 2018 (1), 3265281, 2018 | 13 | 2018 |
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 |
VAR-GRU: A hybrid model for multivariate financial time series prediction L Munkhdalai, M Li, N Theera-Umpon, S Auephanwiriyakul, KH Ryu Asian Conference on Intelligent Information and Database Systems, 322-332, 2020 | 10 | 2020 |
A partially interpretable adaptive Softmax regression for credit scoring L Munkhdalai, KH Ryu, OE Namsrai, N Theera-Umpon Applied Sciences 11 (7), 3227, 2021 | 9 | 2021 |
A locally adaptive interpretable regression L Munkhdalai, T Munkhdalai, KH Ryu arXiv preprint arXiv:2005.03350, 2020 | 8 | 2020 |
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 |
An empirical comparison of machine-learning methods on bank client credit assessments. Sustainability, 11 (3), 699 L Munkhdalai, T Munkhdalai, OE Namsrai, J Lee, K Ryu | 6 | 2019 |
Credit scoring with deep learning L Munkhdalai, OE Namsrai, K Ryu 4th International Conference on Information, System and Convergence …, 2018 | 6 | 2018 |
Discrimination Neural Network Model for Binary Classification Tasks on Tabular Data L Munkhdalai, T Munkhdalai, JE Hong, VH Pham, N Theera-Umpon, ... IEEE Access 11, 15404-15418, 2023 | 4 | 2023 |
Neural network-augmented locally adaptive linear regression model for tabular data L Munkhdalai, T Munkhdalai, VH Pham, JE Hong, KH Ryu, ... Sustainability 14 (22), 15273, 2022 | 3 | 2022 |