Tsatsral Amarbayasgalan

Unsupervised Novelty Detection Using Deep Autoencoders with Density Based Clustering

Tsatsral Amarbayasgalan, Bilguun Jargalsaikhan, Keun Ho Ryu · Applied Sciences · 2018 · 114 citations · Full text

Anomaly Detection, Machine Learning, Data Science +14

An Efficient Prediction Method for Coronary Heart Disease Risk Based on Two Deep Neural Networks Trained on Well-Ordered Training Datasets

Tsatsral Amarbayasgalan, Van-Huy Pham, Nipon Theera‐Umpon et al. · IEEE Access · 2021 · 69 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +23

Unsupervised Anomaly Detection Approach for Time-Series in Multi-Domains Using Deep Reconstruction Error

Tsatsral Amarbayasgalan, Van-Huy Pham, Nipon Theera‐Umpon et al. · Symmetry · 2020 · 61 citations · Full text

Anomaly Detection, Machine Learning, Engineering +17

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

Reconstruction error based deep neural networks for coronary heart disease risk prediction

Tsatsral Amarbayasgalan, Kwang Ho Park, Jong Yun Lee et al. · PLoS ONE · 2019 · 28 citations · Full text

Re Divergence, Convolutional Neural Network, Engineering +21