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Young-geun Kim
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2020 – today
- 2024
- [i3]Xinyuan Zheng, Orren Ravid, Robert A. J. Barry, Yoojean Kim, Qian Wang, Young-geun Kim, Xi Zhu, Xiaofu He:
Denoising Variational Autoencoder as a Feature Reduction Pipeline for the diagnosis of Autism based on Resting-state fMRI. CoRR abs/2410.00068 (2024) - 2023
- [j2]Young-geun Kim
, Kyungbok Lee
Conditional Wasserstein Generator. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7208-7219 (2023) - [i2]Young-geun Kim, Kyungbok Lee, Youngwon Choi, Joong-Ho Won, Myunghee Cho Paik:
Wasserstein Geodesic Generator for Conditional Distributions. CoRR abs/2308.10145 (2023) - 2021
- [c4]Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik:
Kernel-convoluted Deep Neural Networks with Data Augmentation. AAAI 2021: 8155-8162 - 2020
- [c3]Young-geun Kim, Yongchan Kwon, Hyunwoong Chang, Myunghee Cho Paik:
Lipschitz Continuous Autoencoders in Application to Anomaly Detection. AISTATS 2020: 2507-2517 - [i1]Minjin Kim, Young-geun Kim, Dongha Kim, Yongdai Kim, Myunghee Cho Paik:
Kernel-convoluted Deep Neural Networks with Data Augmentation. CoRR abs/2012.02521 (2020)
2010 – 2019
- 2019
- [j1]Young-geun Kim
Valid oversampling schemes to handle imbalance. Pattern Recognit. Lett. 125: 661-667 (2019)
2000 – 2009
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