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Face detection in untrained deep neural networks

Nature communications, 2021-12, Vol.12 (1), p.7328-7328, Article 7328

2021

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Spontaneous emergence of rudimentary music detectors in deep neural networks

Nature communications, 2024-01, Vol.15 (1), p.148-11, Article 148

2024

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Marginal versus conditional beta-binomial regression models

Statistical methods in medical research, 2019-03, Vol.28 (3), p.761-769

2019

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Properties of h‐Likelihood Estimators in Clustered Data

International statistical review, 2020-08, Vol.88 (2), p.380-395

2020

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Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation

Sensors (Basel, Switzerland), 2022-07, Vol.22 (14), p.5271

2022

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H-likelihood Predictive Intervals for Unobservables

International statistical review, 2016-12, Vol.84 (3), p.487-505

2016

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Blending Query Strategy of Active Learning for Imbalanced Data

IEEE access, 2022, Vol.10, p.79526-79542

2022

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Corrections to "Blending Query Strategy of Active Learning for Imbalanced Data"

IEEE access, 2022, Vol.10, p.111909-111909

2022

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Bayesian test for the differences of survival functions in multiple groups

Communications for Statistical Applications and Methods, 2017-03, Vol.24 (2), p.115-127

Kim, Gwangsu

2017

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Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms

IEEE access, 2022, Vol.10, p.62282-62291

2022

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Deep Neural Network-Based Accelerated Failure Time Models Using Rank Loss

Statistics in medicine, 2024-10

2024

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Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models

Journal of multivariate analysis, 2019-05, Vol.171, p.68-82

2019

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Hypothesis Perturbation for Active Learning

IEEE journal of selected topics in signal processing, 2024-08, p.1-14

2024

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고차원 대용량 자료분석의 현재 동향

응용통계연구, 2016, 29(6), , pp.999-1005

2016

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Periodic clustering of simple and complex cells in visual cortex

Neural networks, 2021-11, Vol.143, p.148-160

2021

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Bayesian Analysis of the Generalized Additive Proportional Hazards Model: Asymptotic Studies

Bayesian analysis, 2024-12, Vol.19 (4)

2024

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Posterior consistency in frailty models and simulation studies to test the presence of random effects

Journal of the Korean Statistical Society, 2019, 48(1), , pp.146-168

Kim, Gwangsu

2019

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La and Co doping effects on magnetoresistance of double perovskite Sr 2 FeMoO 6

International journal of modern physics. B, Condensed matter physics, statistical physics, applied physics, 2015-08, Vol.29 (20), p.1550140

2015

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Bayesian model for hydrological processes with jumping location and varying dispersion

Journal of hydrology (Amsterdam), 2019-11, Vol.578, p.124087, Article 124087

2019

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Visual number sense in untrained deep neural networks

Science advances, 2021-01, Vol.7 (1)

2021

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Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics

Science advances, 2021-02, Vol.7 (7)

2021

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Deep learning-based noise robust flexible piezoelectric acoustic sensors for speech processing

Nano energy, 2022-10, Vol.101, p.107610, Article 107610

2022

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Bayesian Analysis of the Proportional Hazards Model with Time-Varying Coefficients

Scandinavian journal of statistics, 2017-06, Vol.44 (2), p.524-544

2017

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Likelihood-Based Inference of Random Effects and Application in Logistic Regression

Ŭngyong tʻonggye yŏnʼgu, 2015-04, Vol.28 (2), p.269-279

Kim, Gwangsu

2015

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Bayesian analysis to detect abrupt changes in extreme hydrological processes

Journal of hydrology (Amsterdam), 2016-07, Vol.538, p.63-70

2016

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Face detection in untrained deep neural networks

Spontaneous emergence of rudimentary music detectors in deep neural networks

Marginal versus conditional beta-binomial regression models

Properties of h‐Likelihood Estimators in Clustered Data

Fair Facial Attribute Classification via Causal Graph-Based Attribute Translation

H-likelihood Predictive Intervals for Unobservables

Blending Query Strategy of Active Learning for Imbalanced Data

Corrections to "Blending Query Strategy of Active Learning for Imbalanced Data"

Bayesian test for the differences of survival functions in multiple groups

Survival Analysis of COVID-19 Patients With Symptoms Information by Machine Learning Algorithms

Deep Neural Network-Based Accelerated Failure Time Models Using Rank Loss

Asymptotic properties of nonparametric estimation and quantile regression in Bayesian structural equation models

Hypothesis Perturbation for Active Learning

고차원 대용량 자료분석의 현재 동향

Periodic clustering of simple and complex cells in visual cortex

Bayesian Analysis of the Generalized Additive Proportional Hazards Model: Asymptotic Studies

Posterior consistency in frailty models and simulation studies to test the presence of random effects

La and Co doping effects on magnetoresistance of double perovskite Sr 2 FeMoO 6

Bayesian model for hydrological processes with jumping location and varying dispersion

Visual number sense in untrained deep neural networks

Biomimetic and flexible piezoelectric mobile acoustic sensors with multiresonant ultrathin structures for machine learning biometrics

Deep learning-based noise robust flexible piezoelectric acoustic sensors for speech processing

Bayesian Analysis of the Proportional Hazards Model with Time-Varying Coefficients

Likelihood-Based Inference of Random Effects and Application in Logistic Regression

Bayesian analysis to detect abrupt changes in extreme hydrological processes

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