저자의 연구 키워드

저자의 연구 키워드

#교차 타당성

#금융시계열

#다중 회귀

#디노이징 컨볼루션 신경망

#딥러닝

#로지스틱 회귀

#로지스틱 회귀분석

#변형 가능한 컨볼루션

#병렬회귀분석

#부도예측

#빅데이터

#서포트 벡터 머신

#스태킹 앙상블

#앙상블 서포트 벡터 머신

#영상복원

#웨이블렛 변환

#유방암

#의료영상

#잡음영상

#잡음제거

#재무비율

#전이학습

#하둡

#AdaBoost-GRU 앙상블

#AdaBoost-GRU ensemble

#Bankruptcy prediction

#BayesShrink

#Big data

#Breast cancer

#CNN

#convolutional denoising autoencoder (CDAE)

#Convolutional dual-decoder autoencoder (CDDAE)

#convolutional neural network

#Convolutional neural network (CNN)

#COVID-19

#cross-validation

#CT 영상

#CT image

#CT영상

#deep learning

#deformable 컨볼루션

#deformable convolution

#denoising

#Denoising Convolutional Neural Network

#dietary habits

#DNN-SVM Hybrid 모형

#DNN-SVM Hybrid model

#dRED-TL-GAN

#ensemble SVM

#financial ratio

#financial time series

#GAN

#Hadoop

#image denoising

#image restoration

#Inception

#K-평균 클러스터링

#K-Means clustering

#logistic regression

#mediation effect

#medical image

#metabolic syndrome

#Modified BayesShrink

#multiple regression

#noise reduction

#noisy image

#parallel regression analysis

#R, Rhadoop

#R, RHIPE

#R,Rhadoop

#RHadoop

#RHIPE

#SAR image

#shift work

#speckle noise

#stacking ensemble

#structural equation model

#SureShrink

#SVM

#transfer learning

#U-Net

#U-Net 구조

#U-Net architecture

#VisuShrink

#wavelet 변환

#wavelet transform

#WT-GAN

#X-ray/CT 영상

#X-ray/CT image