Kelum Gajamannage
Orcid: 0000-0001-9179-3787
According to our database1,
Kelum Gajamannage
authored at least 18 papers
between 2015 and 2023.
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Bibliography
2023
Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs.
Expert Syst. Appl., August, 2023
Geodesic Gramian denoising applied to the images contaminated with noise sampled from diverse probability distributions.
IET Image Process., January, 2023
2022
Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders.
Pattern Recognit., 2022
Efficient Noise Filtration of Images by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix.
CoRR, 2022
Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs.
CoRR, 2022
Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling.
CoRR, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
2020
A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix.
CoRR, 2020
2019
IEEE/ACM Trans. Netw., 2019
Pattern Recognit., 2019
On Sampling and Recovery of Topology of Directed Social Networks - A Low-Rank Matrix Completion Based Approach.
Proceedings of the 44th IEEE Conference on Local Computer Networks, 2019
Reconstruction of Agents' Corrupted Trajectories of Collective Motion Using Low-rank Matrix Completion.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2016
CoRR, 2016
2015
CoRR, 2015