Identifying manifolds underlying group motion in Vicsek agents. - Kelum Gajamannage; Sachit Butail; Maurizio Porfiri; Erik M. Bollt (CoRR, 2015)

Dimensionality Reduction of Collective Motion by Principal Manifolds. - Kelum Gajamannage; Sachit Butail; Maurizio Porfiri; Erik M. Bollt (CoRR, 2015)

Detecting phase transitions in collective behavior using manifold's curvature. - Kelum Gajamannage; Erik M. Bollt (CoRR, 2015)

Modeling the lowest-cost splitting of a herd of cows by optimizing a cost function. - Kelum Gajamannage; Erik M. Bollt; Mason A. Porter; Marian S. Dawkins (CoRR, 2016)

Dimenslon Estlmatlon of Equlty Markets. - Nitish Bahadur; Randy C. Paffenroth; Kelum Gajamannage (IEEE BigData, 2019)

Reconstruction of Agents' Corrupted Trajectories of Collective Motion Using Low-rank Matrix Completion. - Kelum Gajamannage; Randy C. Paffenroth (IEEE BigData, 2019)

On Sampling and Recovery of Topology of Directed Social Networks - A Low-Rank Matrix Completion Based Approach. - Gunjan Mahindre; Anura P. Jayasumana; Kelum Gajamannage; Randy C. Paffenroth (LCN, 2019)

A nonlinear dimensionality reduction framework using smooth geodesics. - Kelum Gajamannage; Randy C. Paffenroth; Erik M. Bollt (Pattern Recognit., 2019)

Network Topology Mapping From Partial Virtual Coordinates and Graph Geodesics. - Anura P. Jayasumana; Randy C. Paffenroth; Gunjan Mahindre; Sridhar Ramasamy; Kelum Gajamannage (IEEE/ACM Trans. Netw., 2019)

A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix. - Kelum Gajamannage; Randy C. Paffenroth; Anura P. Jayasumana (CoRR, 2020)

Bounded manifold completion. - Kelum Gajamannage; Randy C. Paffenroth (Pattern Recognit., 2021)

Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes. - Mary Isangediok; Kelum Gajamannage (IEEE Big Data, 2022)

Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling. - Yonggi Park; Kelum Gajamannage; Dilhani I. Jayathilake; Erik M. Bollt (CoRR, 2022)

Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs. - Kelum Gajamannage; Yonggi Park (CoRR, 2022)

Efficient Noise Filtration of Images by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix. - Kelum Gajamannage; Yonggi Park; Sunil Mathur (CoRR, 2022)

Reconstruction of fragmented trajectories of collective motion using Hadamard deep autoencoders. - Kelum Gajamannage; Yonggi Park; Randy C. Paffenroth; Anura P. Jayasumana (Pattern Recognit., 2022)

Geodesic Gramian denoising applied to the images contaminated with noise sampled from diverse probability distributions. - Kelum Gajamannage; Yonggi Park; Alexey L. Sadovski (IET Image Process., 2023)

Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs. - Kelum Gajamannage; Yonggi Park; Dilhani I. Jayathilake (Expert Syst. Appl., 2023)

Multiscale method for image denoising using nonlinear diffusion process: Local denoising and spectral multiscale basis functions. - Maria V. Vasilyeva; Aleksei Krasnikov; Kelum Gajamannage; Mehrübe Mehrübeoglu (J. Comput. Appl. Math., 2025)

Efficient and Robust Remote Sensing Image Denoising Using Randomized Approximation of Geodesics' Gramian on the Manifold Underlying the Patch Space. - Kelum Gajamannage; Dilhani I. Jayathilake; Maria V. Vasilyeva (CoRR, 2025)