<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Machine Learning | Efe Ali Mert</title><link>https://simongravelle.github.io/tag/machine-learning.html</link><atom:link href="https://simongravelle.github.io/tag/machine-learning/index.xml" rel="self" type="application/rss+xml"/><description>Machine Learning</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><lastBuildDate>Tue, 01 Apr 2025 00:00:00 +0000</lastBuildDate><image><url>https://simongravelle.github.io/media/logo_hu5025324560545862583.png</url><title>Machine Learning</title><link>https://simongravelle.github.io/tag/machine-learning.html</link></image><item><title>Objective ADHD Analysis with EEG and Ensemble Machine Learning</title><link>https://simongravelle.github.io/projects/eeg-adhd-fractal-ml.html</link><pubDate>Tue, 01 Apr 2025 00:00:00 +0000</pubDate><guid>https://simongravelle.github.io/projects/eeg-adhd-fractal-ml.html</guid><description>&lt;p>This project investigates objective differentiation of ADHD and healthy control groups using EEG signals and machine learning.&lt;/p>
&lt;p>A multi-feature pipeline (including enhanced Higuchi fractal dimensions, spectral features, Hjorth parameters, and statistical descriptors) was combined with ensemble classifiers and cross-validation.&lt;/p>
&lt;p>The study focuses on building reproducible, data-driven decision support methods for neurodiagnostic workflows.&lt;/p></description></item></channel></rss>