Lkhagvadorj Munkhdalai

An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments

Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Oyun-Erdene Namsrai et al. · Sustainability · 2019 · 139 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +22

Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction

Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Kwang Ho Park et al. · IEEE Access · 2019 · 100 citations · Full text

Engineering, Machine Learning, Recurrent Neural Network +23

An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series

Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Kwang Ho Park et al. · IEEE Access · 2019 · 57 citations · Full text

Forecasting Methodology, Probabilistic Forecasting, Air Quality Forecasting +15

A Simulation-Based Study on the Comparison of Statistical and Time Series Forecasting Methods for Early Detection of Infectious Disease Outbreaks

Eunjoo Yang, Hyun Woo Park, Yeon A. Choi et al. · International Journal of Environmental Research and Public Health · 2018 · 37 citations · Full text

GEV-NN: A deep neural network architecture for class imbalance problem in binary classification

Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Keun Ho Ryu · Knowledge-Based Systems · 2020 · 34 citations

Class Imbalance Problem, Classification Method, Engineering +9