ScholarWorks@Hanyang University ERICA Campus: JUNG, HYE YOUNG

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JUNG, HYE YOUNG (정혜영)

ERICA 과학기술융합대학 (ERICA 수리데이터사이언스학과)

Research Area: 퍼지모델링, 머신러닝/딥러닝, 위상적자료분석

Tel 031-400-5463
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딥러닝:3||Least squares estimation:2||불확실성 정량화:2||시계열:2||Time series:2||Outlier:2||UNet:2||Fuzzy data:2||uncertainty:2||이상치:2||Fuzzy Transform:2||MC Dropout:2||Fuzzy regression model:2||Consistency:2||Least Absolute Deviation Approximation:2||Deblurring:2||최소 제곱 퍼지 변환:2||Fuzzy transform:2||퍼지 변환:2||Multifactor dimensionality reduction:2||Genegene interaction:2||Defense expenditures:1||Ftransform:1||FGMDR:1||Forecasting:1||Fuzzy autoregressive model:1||Fuzzy classifier:1||Fuzzy cognitive map:1||Fuzzy heaping model:1||Fuzzy least squares estimation:1||Fuzzy least squares method:1||Fuzzy logical relationship:1||Fuzzy multiple linear regression model:1||Fuzzy number:1||Fuzzy outlier:1||Fuzzy regression:1||Fuzzy set theory:1||Fuzzy time series:1||Fuzzyset theory:1||GDP:1||Genetic variants:1||Heaped data:1||Heaping:1||Image Encoding:1||Image denoising:1||Imprecision:1||Iterative Reweighted Least Squares:1||LAD method:1||LS method:1||Least Absolute Deviation Fuzzy Transform:1||Least Squares Fuzzy Transform:1||Least absolute deviation fuzzy transform:1||LeastSquares Fuzzy Transform:1||Leastsquares fuzzy transform:1||Medical service satisfaction:1||Monotonic response function:1||Monte carlo simulation:1||Multiclass Classification:1||Multicollinearity:1||Nonlinear Hebbian learning:1||Normality:1||Outlier.:1||Permutation method:1||Prediction uncertainty:1||Public medical insurance:1||Reported data:1||Resolution identity theorem:1||Ridge fuzzy regression model:1||Ridge regression:1||Ridge regression model:1||SNP:1||Theil&apos:1||Transfer Function model:1||Uncertainty:1||Uncertainty Quantification:1||Uncertainty quantification:1||accelerated failure time model:1||alphalevel estimation algorithm:1||association studies:1||calibration model:1||consumption:1||cryptocurrency:1||deep learning:1||exchange rate:1||fuzzy cognitive map:1||fuzzy linear regression:1||fuzzy regression model:1||fuzzy set theory:1||hybrid algorithm:1||interval censored data:1||least absolute deviations estimation:1||legislative process:1||market efficiency:1||medical diagnosis:1||nonlinear Hebbian learning:1||regression:1||reliable model:1||ridge fuzzy regression:1||s method:1||selfreported studies:1||supervised learning:1||time series:1||uncertainty shock:1||working hours:1||가상화폐:1||가속종료시간모형:1||구간 절단 자료:1||능형회귀모형:1||다중 분류:1||다중회귀분:1||반복 가중치 최소 제곱:1||불확실성:1||시장 효율성:1||안정적인 모델:1||예측 불확실성:1||이미지화 인코딩:1||이상 탐지:1||입법과정:1||지도학습:1||차익거래:1||최소 절대 편차 근사:1||최소 절대 편차 방법:1||최소 절대 편차 퍼지 변환:1||최소제곱추정:1||퍼지자료:1||의학진단:1||항공기 자율운항:1||불확실성:1||생물 정보학:1||퍼지 집합 이론:1||ANOVA:1||ARIMA model:1||Anomaly Detection:1||Arbitrage:1||Asymptotic normality:1||Asymptotic relative efficiency:1||Autonomous operation of aircraft:1||Autoregressive model:1||Bioinformatics:1||Blur augmentatio:1||Blur augmentation:1||Bootstrap method:1||CPD:1||Cigarettes smoked per day:1||Consumer price index:1||Deep Learning:1||Deep learning:1||

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