Lkhagvadorj Munkhdalai

Lkhagvadorj Munkhdalai

Chungbuk National University

H-index: 10

Asia-South Korea

About Lkhagvadorj Munkhdalai

Lkhagvadorj Munkhdalai, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Chungbuk National University, specializes in the field of Deep learning, Time series forecasting, Class imbalance problem, Credit scoring.

His recent articles reflect a diverse array of research interests and contributions to the field:

NFT Appraisal Using Machine Learning

Discrimination Neural Network Model for Binary Classification Tasks on Tabular Data

Neural network-augmented locally adaptive linear regression model for tabular data

Recurrent neural network-augmented locally adaptive interpretable regression for multivariate time-series forecasting

Bayesian Meta Regression

Adaptive Softmax Regression for Credit Scoring

A subtype classification of hematopoietic cancer using machine learning approach

A partially interpretable adaptive Softmax regression for credit scoring

Lkhagvadorj Munkhdalai Information

University

Position

PhD Student Database/Bioinformatics lab

Citations(all)

451

Citations(since 2020)

447

Cited By

131

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

11

i10Index(since 2020)

11

Email

University Profile Page

Chungbuk National University

Google Scholar

View Google Scholar Profile

Lkhagvadorj Munkhdalai Skills & Research Interests

Deep learning

Time series forecasting

Class imbalance problem

Credit scoring

Top articles of Lkhagvadorj Munkhdalai

Title

Journal

Author(s)

Publication Date

NFT Appraisal Using Machine Learning

Ahmed Dawod Mohammed Dawod

Lkhagvadorj Munkhdalai

Kwang Ho Park

Keun Ho Ryu

Van Huy Pham

2023/2/9

Discrimination Neural Network Model for Binary Classification Tasks on Tabular Data

IEEE Access

Lkhagvadorj Munkhdalai

Tsendsuren Munkhdalai

Jang-Eui Hong

Van-Huy Pham

Nipon Theera-Umpon

...

2023/2/10

Neural network-augmented locally adaptive linear regression model for tabular data

Sustainability

Lkhagvadorj Munkhdalai

Tsendsuren Munkhdalai

Van Huy Pham

Jang-Eui Hong

Keun Ho Ryu

...

2022/11/17

Recurrent neural network-augmented locally adaptive interpretable regression for multivariate time-series forecasting

IEEE Access

Lkhagvadorj Munkhdalai

Tsendsuren Munkhdalai

Van-Huy Pham

Meijing Li

Keun Ho Ryu

...

2022/1/25

Bayesian Meta Regression

Lkhagvadorj Munkhdalai

Van Huy Pham

Keun Ho Ryu

2021/4/21

Adaptive Softmax Regression for Credit Scoring

Lkhagvadorj Munkhdalai

Khishigsuren Davagdorj

Van-Huy Pham

Keun Ho Ryu

2021/4/21

A subtype classification of hematopoietic cancer using machine learning approach

Kwang Ho Park

Van Huy Pham

Khishigsuren Davagdorj

Lkhagvadorj Munkhdalai

Keun Ho Ryu

2021/4/6

A partially interpretable adaptive Softmax regression for credit scoring

Applied Sciences

Lkhagvadorj Munkhdalai

Keun Ho Ryu

Oyun-Erdene Namsrai

Nipon Theera-Umpon

2021/4/3

Biobert based efficient clustering framework for biomedical document analysis

Genetic and Evolutionary Computing: Proceedings of the Fourteenth International Conference on Genetic and Evolutionary Computing, October 21-23, 2021, Jilin, China

Keun Ho Ryu

2022/1/4

Feature Selection Deep Learning Model considering Time Series Prediction

Proceedings of the Korea Information Processing Society Conference

Kwang Ho Park

Lkhagvadorj Munkhdalai

Keun Ho Ryu

2021

Attention-Based Deep Neural Network for Coronary Heart Disease Risk Prediction

Tsatsral Amarbayasgalan

Kwang Ho Park

Lkhagvadorj Munkhdalai

Keun Ho Ryu

2021/4/21

Class-incremental learning with deep generative feature replay for DNA methylation-based cancer classification

IEEE Access

Erdenebileg Batbaatar

Kwang Ho Park

Tsatsral Amarbayasgalan

Khishigsuren Davagdorj

Lkhagvadorj Munkhdalai

...

2020/11/20

Deep learning-based demand forecasting for Korean postal delivery service

IEEE Access

Lkhagvadorj Munkhdalai

Kwang Ho Park

Erdenebileg Batbaatar

Nipon Theera-Umpon

Keun Ho Ryu

2020/10/14

A locally adaptive interpretable regression

arXiv preprint arXiv:2005.03350

Lkhagvadorj Munkhdalai

Tsendsuren Munkhdalai

Keun Ho Ryu

2020/5/7

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

Knowledge-Based Systems

Lkhagvadorj Munkhdalai

Tsendsuren Munkhdalai

Keun Ho Ryu

2020/4/22

VAR-GRU: A hybrid model for multivariate financial time series prediction

Lkhagvadorj Munkhdalai

Meijing Li

Nipon Theera-Umpon

Sansanee Auephanwiriyakul

Keun Ho Ryu

2020/3/4

See List of Professors in Lkhagvadorj Munkhdalai University(Chungbuk National University)

Co-Authors

H-index: 42
Keun Ho Ryu

Keun Ho Ryu

Chungbuk National University

H-index: 24
Nipon Theera-Umpon

Nipon Theera-Umpon

Chiang Mai University

H-index: 20
Sansanee Auephanwiriyakul

Sansanee Auephanwiriyakul

Chiang Mai University

H-index: 10
Kwang Ho Park

Kwang Ho Park

Chungbuk National University

H-index: 9
Oyun-Erdene Namsrai

Oyun-Erdene Namsrai

National University of Mongolia

H-index: 7
Musa Ibrahim M. Ishag

Musa Ibrahim M. Ishag

Chungbuk National University

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