<?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 on João Gonçalves</title>
    <link>http://joaogoncalves.cc/tags/machine-learning/</link>
    <description>Recent content in Machine Learning on João Gonçalves</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-us</language>
    <copyright>&amp;copy; 2026</copyright>
    <lastBuildDate>Sun, 01 Dec 2024 00:00:00 +0000</lastBuildDate>
    
	<atom:link href="http://joaogoncalves.cc/tags/machine-learning/index.xml" rel="self" type="application/rss+xml" />
    
    
    <item>
      <title>SegOptim</title>
      <link>http://joaogoncalves.cc/software/segoptim/</link>
      <pubDate>Sun, 01 Dec 2024 00:00:00 +0000</pubDate>
      
      <guid>http://joaogoncalves.cc/software/segoptim/</guid>
      <description>SegOptim SegOptim is an R package for object-based image analysis (OBIA). It allows to run, compare and optimize multiple image segmentation algorithms in the context of supervised classification. It also allows to perform unsupervised classification with several different methods and compare them through internal clustering metrics.
For more details about installation and how to use the package go to the tutorial here. Check also the paper describing the package functionalities here.</description>
    </item>
    
    <item>
      <title>ThermalRaster</title>
      <link>http://joaogoncalves.cc/software/thermalraster/</link>
      <pubDate>Sun, 01 Dec 2024 00:00:00 +0000</pubDate>
      
      <guid>http://joaogoncalves.cc/software/thermalraster/</guid>
      <description>ThermalRaster ThermalRaster is an R package designed to enhance the processing and analysis of FLIR thermal and RGB images. It offers a comprehensive suite of functions for extracting, processing, and visualizing thermal data embedded within the metadata of FLIR images. Key features also include retrieving full and cropped RGB images. Imagery is returned as SpatRaster objects compatible with the terra package, enabling users to profit from this package&amp;rsquo;s features/toolkit.</description>
    </item>
    
  </channel>
</rss>