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Journal Articles
- 2023
[j7]Kelum Gajamannage
, Yonggi Park, Dilhani I. Jayathilake:
Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs. Expert Syst. Appl. 223: 119879 (2023)- [j6]Kelum Gajamannage, Yonggi Park, Alexey L. Sadovski:
Geodesic Gramian denoising applied to the images contaminated with noise sampled from diverse probability distributions. IET Image Process. 17(1): 144-156 (2023) - 2022
- [j5]Kelum Gajamannage, Yonggi Park, Randy C. Paffenroth, Anura P. Jayasumana:
Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders. Pattern Recognit. 131: 108891 (2022) - 2021
- [j4]Alessandro Buccini, Yonggi Park, Lothar Reichel:
Corrigendum to "Comparison of a-posteriori parameter choice rules for linear discrete ill-posed problems" [J. Comput. Appl. Math. 373 (2020) 112138]. J. Comput. Appl. Math. 397: 113571 (2021) - 2020
- [j3]Alessandro Buccini, Yonggi Park, Lothar Reichel:
Comparison of A-posteriori parameter choice rules for linear discrete ill-posed problems. J. Comput. Appl. Math. 373: 112138 (2020) - 2018
- [j2]Alessandro Buccini, Yonggi Park, Lothar Reichel:
Numerical aspects of the nonstationary modified linearized Bregman algorithm. Appl. Math. Comput. 337: 386-398 (2018) - [j1]Yonggi Park, Lothar Reichel, Giuseppe Rodriguez, Xuebo Yu:
Parameter determination for Tikhonov regularization problems in general form. J. Comput. Appl. Math. 343: 12-25 (2018)
Informal and Other Publications
- 2024
- [i6]Yonggi Park, Yuanfang Ren, Benjamin Shickel, Ziyuan Guan, Ayush Patela, Yingbo Ma, Zhenhong Hu, Tyler J. Loftus, Parisa Rashidi, Tezcan Ozrazgat-Baslanti, Azra Bihorac:
Federated learning model for predicting major postoperative complications. CoRR abs/2404.06641 (2024) - 2022
- [i5]Yonggi Park, Kelum Gajamannage, Dilhani I. Jayathilake, Erik M. Bollt:
Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling. CoRR abs/2202.07022 (2022) - [i4]Yonggi Park, Kelum Gajamannage, Alexey L. Sadovski:
Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributions. CoRR abs/2203.02600 (2022) - [i3]Kelum Gajamannage, Yonggi Park:
Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs. CoRR abs/2205.04678 (2022) - [i2]Kelum Gajamannage, Yonggi Park, Sunil Mathur:
Efficient Noise Filtration of Images by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix. CoRR abs/2209.13094 (2022) - 2021
- [i1]Kelum Gajamannage, Yonggi Park, Randy C. Paffenroth, Anura P. Jayasumana:
Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders. CoRR abs/2110.10428 (2021)
Coauthor Index
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