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Yonggi Park
Yonggi Park
Assistant Scientist, Division of Nephrology - Med Crit Care Center, University of Florida
Verified email at ufl.edu - Homepage
Title
Cited by
Cited by
Year
Parameter determination for Tikhonov regularization problems in general form
Y Park, L Reichel, G Rodriguez, X Yu
Journal of Computational and Applied Mathematics 343, 12-25, 2018
482018
Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs
K Gajamannage, Y Park, DI Jayathilake
Expert Systems with Applications 223, 119879, 2023
242023
Numerical aspects of the nonstationary modified linearized Bregman algorithm
A Buccini, Y Park, L Reichel
Applied Mathematics and Computation 337, 386-398, 2018
132018
Recurrent neural networks for dynamical systems: Applications to ordinary differential equations, collective motion, and hydrological modeling
Y Park, K Gajamannage, DI Jayathilake, EM Bollt
arXiv preprint arXiv:2202.07022, 2022
92022
Comparison of a-posteriori parameter choice rules for linear discrete ill-posed problems
A Buccini, Y Park, L Reichel
Journal of Computational and Applied Mathematics 373, 112138, 2020
92020
Recurrent neural networks for dynamical systems: Applications to ordinary differential equations, collective motion, and hydrological modeling
K Gajamannage, DI Jayathilake, Y Park, EM Bollt
Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (1), 2023
82023
Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders
K Gajamannage, Y Park, R Paffenroth, AP Jayasumana
Pattern Recognition 131, 108891, 2022
62022
Geodesic Gramian denoising applied to the images contaminated with noise sampled from diverse probability distributions
K Gajamannage, Y Park, A Sadovski
IET Image Processing 17 (1), 144-156, 2023
12023
Efficient noise filtration of images by low-rank singular vector approximations of Geodesics' Gramian Matrix
K Gajamannage, Y Park, M Muddamallappa, S Mathur
arXiv preprint arXiv:2209.13094, 2022
2022
Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributions
Y Park, K Gajamannage, A Sadovski
arXiv preprint arXiv:2203.02600, 2022
2022
Comparison of a-posteriori parameter choice rules for linear discrete ill-posed problems (vol 373, 112138, 2020)
A Buccini, Y Park, L Reichel
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS 397, 2021
2021
Corrigendum to “Comparison of a-posteriori parameter choice rules for linear discrete ill-posed problems”[J. Comput. Appl. Math. 373 (2020) 112138]
A Buccini, Y Park, L Reichel
Journal of Computational and Applied Mathematics 397, 113571, 2021
2021
Parameter Selection Rules for Ill-Posed Problems
Y Park
Kent State University, 2019
2019
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