Kelum Gajamannage

28 papers B 2Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning Ecological and Epidemic Processes using Neural ODEs, Kolmogorov-Arnold Network ODEs and SINDy. CoRR Maria Vasilyeva, Zheng Wei, Kelum Gajamannage, Hyangim Ji, Aleksei Krasnikov, Alexey Sadovski
2025	J	`jnl`	Efficient and Robust Remote Sensing Image Denoising Using Randomized Approximation of Geodesics' Gramian on the Manifold Underlying the Patch Space. CoRR Kelum Gajamannage, Dilhani I. Jayathilake, Maria V. Vasilyeva
2025	J	`jnl`	Multiscale method for image denoising using nonlinear diffusion process: Local denoising and spectral multiscale basis functions. J. Comput. Appl. Math. Maria V. Vasilyeva, Aleksei Krasnikov, Kelum Gajamannage, Mehrübe Mehrübeoglu
2024	J	`jnl`	Multiscale method for image denoising using nonlinear diffusion process: local denoising and spectral multiscale basis functions. CoRR Maria V. Vasilyeva, Aleksei Krasnikov, Kelum Gajamannage, Mehrübe Mehrübeoglu
2023	J	`jnl`	Geodesic Gramian denoising applied to the images contaminated with noise sampled from diverse probability distributions. IET Image Process. Kelum Gajamannage, Yonggi Park, Alexey L. Sadovski
2023	J	`jnl`	Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs. Expert Syst. Appl. Kelum Gajamannage, Yonggi Park, Dilhani I. Jayathilake
2022	J	`jnl`	Efficient Noise Filtration of Images by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix. CoRR Kelum Gajamannage, Yonggi Park, Sunil Mathur
2022	B	`conf`	Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes. IEEE Big Data Mary Isangediok, Kelum Gajamannage
2022	J	`jnl`	Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes. CoRR Mary Isangediok, Kelum Gajamannage
2022	J	`jnl`	Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributions. CoRR Yonggi Park, Kelum Gajamannage, Alexey L. Sadovski
2022	J	`jnl`	Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs. CoRR Kelum Gajamannage, Yonggi Park
2022	J	`jnl`	Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders. Pattern Recognit. Kelum Gajamannage, Yonggi Park, Randy C. Paffenroth, Anura P. Jayasumana
2022	J	`jnl`	Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling. CoRR Yonggi Park, Kelum Gajamannage, Dilhani I. Jayathilake, Erik M. Bollt
2021	J	`jnl`	Bounded manifold completion. Pattern Recognit. Kelum Gajamannage, Randy C. Paffenroth
2021	J	`jnl`	Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders. CoRR Kelum Gajamannage, Yonggi Park, Randy C. Paffenroth, Anura P. Jayasumana
2020	J	`jnl`	A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix. CoRR Kelum Gajamannage, Randy C. Paffenroth, Anura P. Jayasumana
2019	J	`jnl`	A nonlinear dimensionality reduction framework using smooth geodesics. Pattern Recognit. Kelum Gajamannage, Randy C. Paffenroth, Erik M. Bollt
2019	J	`jnl`	Bounded Manifold Completion. CoRR Kelum Gajamannage, Randy C. Paffenroth
2019	—	`conf`	Dimenslon Estlmatlon of Equlty Markets. IEEE BigData Nitish Bahadur, Randy C. Paffenroth, Kelum Gajamannage
2019	J	`jnl`	Network Topology Mapping From Partial Virtual Coordinates and Graph Geodesics. IEEE/ACM Trans. Netw. Anura P. Jayasumana, Randy C. Paffenroth, Gunjan Mahindre, Sridhar Ramasamy, Kelum Gajamannage
2019	B	`conf`	On Sampling and Recovery of Topology of Directed Social Networks - A Low-Rank Matrix Completion Based Approach. LCN Gunjan Mahindre, Anura P. Jayasumana, Kelum Gajamannage, Randy C. Paffenroth
2019	—	`conf`	Reconstruction of Agents' Corrupted Trajectories of Collective Motion Using Low-rank Matrix Completion. IEEE BigData Kelum Gajamannage, Randy C. Paffenroth
2018	J	`jnl`	Network Topology Mapping from Partial Virtual Coordinates and Graph Geodesics. CoRR Anura P. Jayasumana, Randy C. Paffenroth, Gunjan Mahindre, Sridhar Ramasamy, Kelum Gajamannage
2017	J	`jnl`	A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics. CoRR Kelum Gajamannage, Randy C. Paffenroth, Erik M. Bollt
2016	J	`jnl`	Modeling the lowest-cost splitting of a herd of cows by optimizing a cost function. CoRR Kelum Gajamannage, Erik M. Bollt, Mason A. Porter, Marian S. Dawkins
2015	J	`jnl`	Detecting phase transitions in collective behavior using manifold's curvature. CoRR Kelum Gajamannage, Erik M. Bollt
2015	J	`jnl`	Dimensionality Reduction of Collective Motion by Principal Manifolds. CoRR Kelum Gajamannage, Sachit Butail, Maurizio Porfiri, Erik M. Bollt
2015	J	`jnl`	Identifying manifolds underlying group motion in Vicsek agents. CoRR Kelum Gajamannage, Sachit Butail, Maurizio Porfiri, Erik M. Bollt