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Yong-Goo Shin

Showing results (1-10 of 11) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|February 13, 2024
A Novel Generator With Auxiliary Branch for Improving GAN PerformanceSeung Park, Yong-Goo Shin
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Rethinking Image Skip Connections in StyleGAN2Seung Park, Yong-Goo Shin
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2022
Generative convolution layer for image generationSeung Park, Yong-Goo Shin
IEEE Transactions on Neural Networks and Learning Systems|January 1, 2021
Simple Yet Effective Way for Improving the Performance of GANYoon-Jae Yeo, Yong-Goo Shin, Seung Park, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 18, 2022
Conditional Convolution Projecting Latent Vectors on Condition-Specific SpaceMin-Cheol Sagong, Yoon-Jae Yeo, Yong-Goo Shin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 22, 2019
Unsupervised Deep Contrast Enhancement with Power Constraint for OLED DisplaysYong-Goo Shin, Seung Park, Yoon-Jae Yeo, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 24, 2020
PEPSI++: Fast and Lightweight Network for Image InpaintingYong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo, et al.
Artificial Intelligence in Medicine|March 10, 2024
Prognostic prediction of sepsis patient using transformer with skip connected token for tabular dataJee-Woo Choi, Minuk Yang, Jae-Woo Kim, et al.
Scientific Reports|June 11, 2026
Feature selection methodology based on explainable AI: application in predicting extubation success in the intensive care unitJaeBin Sung, Geun-Hyeong Kim, Jae-Woo Kim, et al.
Frontiers in Medicine|January 23, 2025
Transformer-based model for predicting length of stay in intensive care unit in sepsis patientsJeesu Kim, Geun-Hyeong Kim, Jae-Woo Kim, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
IEEE Transactions on Neural Networks and Learning Systems|February 13, 2024
A Novel Generator With Auxiliary Branch for Improving GAN PerformanceSeung Park, Yong-Goo Shin
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Rethinking Image Skip Connections in StyleGAN2Seung Park, Yong-Goo Shin
Neural Networks : the Official Journal of the International Neural Network Society|May 23, 2022
Generative convolution layer for image generationSeung Park, Yong-Goo Shin
IEEE Transactions on Neural Networks and Learning Systems|January 1, 2021
Simple Yet Effective Way for Improving the Performance of GANYoon-Jae Yeo, Yong-Goo Shin, Seung Park, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 18, 2022
Conditional Convolution Projecting Latent Vectors on Condition-Specific SpaceMin-Cheol Sagong, Yoon-Jae Yeo, Yong-Goo Shin, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|November 22, 2019
Unsupervised Deep Contrast Enhancement with Power Constraint for OLED DisplaysYong-Goo Shin, Seung Park, Yoon-Jae Yeo, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 24, 2020
PEPSI++: Fast and Lightweight Network for Image InpaintingYong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo, et al.
Artificial Intelligence in Medicine|March 10, 2024
Prognostic prediction of sepsis patient using transformer with skip connected token for tabular dataJee-Woo Choi, Minuk Yang, Jae-Woo Kim, et al.
Scientific Reports|June 11, 2026
Feature selection methodology based on explainable AI: application in predicting extubation success in the intensive care unitJaeBin Sung, Geun-Hyeong Kim, Jae-Woo Kim, et al.
Frontiers in Medicine|January 23, 2025
Transformer-based model for predicting length of stay in intensive care unit in sepsis patientsJeesu Kim, Geun-Hyeong Kim, Jae-Woo Kim, et al.
Pageof 2