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Browsing by Author Lkhagvadorj Munkhdalai

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Issue Date	Title	Author(s)
1-Jan-2022	BioBERT Based Efficient Clustering Framework for Biomedical Document Analysis	Khishigsuren Davagdorj; Kwang Ho Park; Tsatsral Amarbayasgalan; Lkhagvadorj Munkhdalai; Ling Wang; Meijing Li; Keun Ho Ryu
1-Jan-2020	Deep learning-based demand forecasting for Korean postal delivery service	Lkhagvadorj Munkhdalai; Kwang Ho Park; Erdenebileg Batbaatar; Nipon Theera-Umpon; Keun Ho Ryu
1-Apr-2021	A partially interpretable adaptive softmax regression for credit scoring	Lkhagvadorj Munkhdalai; Keun Ho Ryu; Oyun Erdene Namsrai; Nipon Theera-Umpon
1-Jan-2022	Recurrent Neural Network-Augmented Locally Adaptive Interpretable Regression for Multivariate Time-Series Forecasting	Lkhagvadorj Munkhdalai; Tsendsuren Munkhdalai; Van Huy Pham; Meijing Li; Keun Ho Ryu; Nipon Theera-Umpon
1-Jan-2020	VAR-GRU: A Hybrid Model for Multivariate Financial Time Series Prediction	Lkhagvadorj Munkhdalai; Meijing Li; Nipon Theera-Umpon; Sansanee Auephanwiriyakul; Keun Ho Ryu

Showing results 1 to 5 of 5