Classification

Designing Deep Neural Network Topologies with Population-Based Metaheuristics
Over last years the deep neural network has become one of the most popular classification methods with performance comparable and in …
Grega Vrbančič, Iztok Jr. Fister, Vili Podgorelec
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Automatic Classification of Motor Impairment Neural Disorders from EEG Signals Using Deep Convolutional Neural Networks
The analysis of biomedical signals, such as the EEGs for measuring brain activity, provides means for the diagnosis of various …
Grega Vrbančič, Vili Podgorelec
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Swarm Intelligence Approaches for Parameter Setting of Deep Learning Neural Network: Case Study on Phishing Websites Classification
In last decades, the web and online services have revolutionizedthe modern world. However, by increasing our dependence ononline …
Grega Vrbančič, Iztok Jr. Fister, Vili Podgorelec
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How to utilize NiaPy for solving KNN parameter optimization problem?
In the following, I’m going to present to you, an example on how to utilize NiaPy micro-framework 1 for solving the parameter optimization problem of K-nearest neighbors classifier 2 against very common Breast Cancer Wisconsin (Diagnostic) Data Set 3.
Grega Vrbančič
Last updated on Oct 2, 2019 10 min read Guides