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Vessel detection in retinal images using Radon transform and genetic algorithm
We propose a novel algorithm for vessel detection in
retinal images. The proposed algorithm incorporates Radon
Transform(RT) and Genetic Algorithm(GA) to detect vessels. We use
RT because vessels could ...
A Novel Algorithm for Linear Feature Detection in Images
We propose a novel algorithm for linear feature detection
in images. Our algorithm is an extension to Beamlet Transform(BT).
BT is a powerful transform for linear feature detection in images. It
is ...
Genetic Regulatory Network Inference using Recurrent Neural Networks trained by a Multi Agent System
We propose a novel algorithm for gene regulatory
network inference. Gene Regulatory Network (GRN) inference is
approximating the combined effect of different genes in a specific
genome data. GRNs are ...
Genetic Regulatory Network Inference using Recurrent Neural Networks trained by a Multi Agent System
We propose a novel algorithm for gene regulatory
network inference. Gene Regulatory Network (GRN) inference is
approximating the combined effect of different genes in a specific
genome data. GRNs ...
Genetic regulatory network inference using Recurrent Neural Networks trained by a multi agent system
We propose a novel algorithm for gene regulatory network inference. Gene Regulatory Network (GRN) inference is approximating the combined effect of different genes in a specific genome data. GRNs are nonlinear, dynamic and ...
SVBO: Support Vector-Based Oversampling for handling class imbalance in k-NN
We propose a novel algorithm for handling class imbalance in the k-NN classifier. Class imbalance is a problem occurring in some valuable data such as medical diagnosis, fraud detection, oil spills and etc. The problem ...