Unsupervised Feature-Construction-Based Motor Fault Diagnosis by Tsatsral Amarbayasgalan, Keun Ho Ryu

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Efficient Weighted Ensemble Method for Predicting Peak-Period Postal Logistics Volume: A South Korean Case Study by Eunhye Kim, Tsatsral Amarbayasgalan, Hoon Jung

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Unsupervised Novelty Detection Using Deep Autoencoders with Density Based Clustering by Tsatsral Amarbayasgalan, Bilguun Jargalsaikhan, Keun Ho Ryu

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Reconstruction error based deep neural networks for coronary heart disease risk prediction. by Tsatsral Amarbayasgalan, Kwang Ho Park, Jong Yun Lee, Keun Ho Ryu

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An Efficient Prediction Method for Coronary Heart Disease Risk Based on Two Deep Neural Networks Trained on Well-Ordered Training Datasets by Tsatsral Amarbayasgalan, Van-Huy Pham, Nipon Theera-Umpon, Yongjun Piao, Keun Ho Ryu

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An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series by Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Kwang Ho Park, Tsatsral Amarbayasgalan, Erdenebileg Erdenebaatar, Hyun Woo Park, Keun Ho Ryu

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Class-Incremental Learning With Deep Generative Feature Replay for DNA Methylation-Based Cancer Classification by Erdenebileg Batbaatar, Kwang Ho Park, Tsatsral Amarbayasgalan, Khishigsuren Davagdorj, Lkhagvadorj Munkhdalai, Van-Huy Pham, Keun Ho Ryu

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