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09/27/2022
Efficient Noise Filtration of Images by Low-Rank Singular Vector Approximations of Geodesics' Gramian Matrix
Modern society is interested in capturing high-resolution and fine-quali...
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09/04/2022
Fraud Detection Using Optimized Machine Learning Tools Under Imbalance Classes
Fraud detection is a challenging task due to the changing nature of frau...
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05/10/2022
Real-time Forecasting of Time Series in Financial Markets Using Sequentially Trained Many-to-one LSTMs
Financial markets are highly complex and volatile; thus, learning about ...
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03/04/2022
Geodesic Gramian Denoising Applied to the Images Contaminated With Noise Sampled From Diverse Probability Distributions
As quotidian use of sophisticated cameras surges, people in modern socie...
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02/14/2022
Recurrent Neural Networks for Dynamical Systems: Applications to Ordinary Differential Equations, Collective Motion, and Hydrological Modeling
Classical methods of solving spatiotemporal dynamical systems include st...
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10/20/2021
Reconstruction of Fragmented Trajectories of Collective Motion using Hadamard Deep Autoencoders
Learning dynamics of collectively moving agents such as fish or humans i...
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10/14/2020
A Patch-based Image Denoising Method Using Eigenvectors of the Geodesics' Gramian Matrix
With the sophisticated modern technology in the camera industry, the dem...
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12/19/2019
Bounded Manifold Completion
Nonlinear dimensionality reduction or, equivalently, the approximation o...
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07/21/2017
A Nonlinear Dimensionality Reduction Framework Using Smooth Geodesics
Existing dimensionality reduction methods are adept at revealing hidden ...
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09/23/2015
Detecting phase transitions in collective behavior using manifold's curvature
If a given behavior of a multi-agent system restricts the phase variable...
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08/13/2015
Dimensionality Reduction of Collective Motion by Principal Manifolds
While the existence of low-dimensional embedding manifolds has been show...
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08/12/2015
