Abstract: Precise mapping of forest vegetation, including both dominant tree species and other vegetation types, is essential for forest management and biodiversity conservation, yet traditional ...
A new AI model, H-CAST, groups fine details into object-level concepts as attention moves from lower to high layers, outputting a classification tree—such as bird, eagle, bald eagle—rather than ...
Abstract: Large variations across images make image classification a challenging task; limited training data further increases its difficulty. Genetic programming (GP) has been considerably applied to ...
Moreover, all of then are available ready to use in this framework under the folder src/ml_datasets. The datasets employed are the following, and more information about how to load them is presented ...
Paint marks on trees are one of those things where once you start noticing them, you suddenly see them everywhere. Colorful paint is used by individuals, tree professionals, and government agencies to ...
This article provides a birds-eye view on the role of decision trees in machine learning and data science over roughly four decades. It sketches the evolution of decision tree research over the years, ...
This project involves the classification of handwritten digits using three different classifiers: Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and Decision Trees. The goal is to ...
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