Lkhagvadorj Munkhdalai

Orcid: 0000-0002-6740-219X

According to our database1, Lkhagvadorj Munkhdalai authored at least 12 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Discrimination Neural Network Model for Binary Classification Tasks on Tabular Data.
IEEE Access, 2023

2022
Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting.
IEEE Access, 2022

2021
A Subtype Classification of Hematopoietic Cancer Using Machine Learning Approach.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021

2020
GEV-NN: A deep neural network architecture for class imbalance problem in binary classification.
Knowl. Based Syst., 2020

A Locally Adaptive Interpretable Regression.
CoRR, 2020

Deep Learning-Based Demand Forecasting for Korean Postal Delivery Service.
IEEE Access, 2020

Class-Incremental Learning With Deep Generative Feature Replay for DNA Methylation-Based Cancer Classification.
IEEE Access, 2020

VAR-GRU: A Hybrid Model for Multivariate Financial Time Series Prediction.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019
Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction.
IEEE Access, 2019

An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series.
IEEE Access, 2019

Advanced Neural Network Approach, Its Explanation with LIME for Credit Scoring Application.
Proceedings of the Intelligent Information and Database Systems - 11th Asian Conference, 2019

2018
Application of a Mobile Chronic Disease Health-Care System for Hypertension Based on Big Data Platforms.
J. Sensors, 2018


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