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ORCIDLkhagvadorj Munkhdalai
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2020 – today
- 2023
[j8]Lkhagvadorj Munkhdalai
, Tsendsuren Munkhdalai, Jang-Eui Hong, Van Huy Pham, Nipon Theera-Umpon, Keun Ho Ryu:
Discrimination Neural Network Model for Binary Classification Tasks on Tabular Data. IEEE Access 11: 15404-15418 (2023)- [c4]Ahmed Dawod Mohammed Dawod, Lkhagvadorj Munkhdalai, Kwang-Ho Park, Keun Ho Ryu, Van Huy Pham:
NFT Appraisal Using Machine Learning. APIT 2023: 160-166 - 2022
- [j7]Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Van Huy Pham, Meijing Li, Keun Ho Ryu, Nipon Theera-Umpon:
Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting. IEEE Access 10: 11871-11885 (2022) - 2021
- [c3]Kwang-Ho Park, Van Huy Pham, Khishigsuren Davagdorj, Lkhagvadorj Munkhdalai, Keun Ho Ryu:
A Subtype Classification of Hematopoietic Cancer Using Machine Learning Approach. ACIIDS (Companion) 2021: 113-121 - 2020
- [j6]Lkhagvadorj Munkhdalai, Kwang-Ho Park, Erdenebileg Batbaatar, Nipon Theera-Umpon, Keun Ho Ryu:
Deep Learning-Based Demand Forecasting for Korean Postal Delivery Service. IEEE Access 8: 188135-188145 (2020) - [j5]Erdenebileg Batbaatar, Kwang-Ho Park, Tsatsral Amarbayasgalan, Khishigsuren Davagdorj, Lkhagvadorj Munkhdalai, Van-Huy Pham, Keun Ho Ryu:
Class-Incremental Learning With Deep Generative Feature Replay for DNA Methylation-Based Cancer Classification. IEEE Access 8: 210800-210815 (2020) - [j4]Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Keun Ho Ryu:
GEV-NN: A deep neural network architecture for class imbalance problem in binary classification. Knowl. Based Syst. 194: 105534 (2020) - [c2]Lkhagvadorj Munkhdalai, Meijing Li, Nipon Theera-Umpon, Sansanee Auephanwiriyakul, Keun Ho Ryu:
VAR-GRU: A Hybrid Model for Multivariate Financial Time Series Prediction. ACIIDS (2) 2020: 322-332 - [i1]Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Keun Ho Ryu:
A Locally Adaptive Interpretable Regression. CoRR abs/2005.03350 (2020)
2010 – 2019
- 2019
- [j3]Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Kwang-Ho Park, Tsatsral Amarbayasgalan, Erdenebileg Batbaatar, Hyun Woo Park, Keun Ho Ryu:
An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series. IEEE Access 7: 99099-99114 (2019) - [j2]Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Kwang-Ho Park, Heon Gyu Lee, Meijing Li, Keun Ho Ryu:
Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction. IEEE Access 7: 183680-183691 (2019) - [c1]Lkhagvadorj Munkhdalai, Ling Wang, Hyun Woo Park, Keun Ho Ryu:
Advanced Neural Network Approach, Its Explanation with LIME for Credit Scoring Application. ACIIDS (2) 2019: 407-419 - 2018
- [j1]Dingkun Li, Hyun Woo Park, Erdenebileg Batbaatar, Lkhagvadorj Munkhdalai, Ibrahim Musa, Meijing Li, Keun Ho Ryu:
Application of a Mobile Chronic Disease Health-Care System for Hypertension Based on Big Data Platforms. J. Sensors 2018: 3265281:1-3265281:13 (2018)
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