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Quantitative Bio-Science
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vol. 37 No.1 Predicting Bitcoin Market Trend with Deep Learning Models
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admin
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2018.06.04. 18:50:06
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vol. 39 No.1 Strategy for Modeling Airborne Particulate Matter from Mines
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2020.06.01
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vol. 39 No.1 Bioinformatic Analysis of Sphingolipid Metabolism-related Genes for Prognostic Significance in Patients with Hepatocellular Carcinoma using The Cancer Genome Atlas Liver Cancer Cohort
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2020.06.01
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vol. 39 No.1 KOSPI200 Prediction through Low-Pass Filtered Long Short-Term Memory Algorithm
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2020.06.01
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vol. 39 No.1 Grammatical Error Correction Models for Korean Language via Pre-trained Denoising
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2020.06.01
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vol. 39 No.1 A Simple Rule for Monitoring the Error Rate of Random Forest for Classification
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2020.06.01
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vol. 39 No.1 Contents
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2020.06.01
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vol. 38 No.2 Contents
admin
2019.12.16
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vol. 38 No.2 Multivariate Bias Correction for Climate Simulation Data, with Application to Precipitation Extremes in Korea
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2019.12.10
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vol. 38 No.2 A Study on the Correlation between the Urban Heat Island Phenomenon and High Concentrations of Ozone in Daegu
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2019.12.10
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vol. 38 No.2 Development of a Test Set for Motoring Fine Particulate
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2019.12.10
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vol. 38 No.2 Using Analytic Hierarchy Process to Predict Stock Price Index Based on Analysts̓ Decision Making
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2019.12.10
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vol. 38 No.2 Segmentation Strategy for Asset Groups in the Korean Exchange-Traded Funds Market Using Genetic Algorithm
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2019.12.10
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vol. 38 No.2 Single Change-point Tests for P-order Autoregressive Models
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2019.12.10
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vol. 38 No.2 Deeper Integrative Neural Network Analysis for Multi-level Omics Data
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2019.12.10
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vol. 38 No.1 Predicting Debt Default of P2P Loan Borrowers Using Self-Organizing Map
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2019.06.03
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