Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Frontiers

Comparative evaluation of fast-learning classification algorithms for urban forest tree species identification using EO-1 hyperion hyperspectral imagery

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...
GitHub

End-to-End ML Pipeline that produces a trained Random Forest model.

Once you have released in GitHub, you can run your release like this: mlflow run [github URL] -v [version] -P ... So for example this is what we run in the video (note that the repository might not be ...
Frontiers

Accuracy and consistency assessment of forest cover datasets: a comparative study of two provinces in China

Forests play a crucial role in maintaining the ecological balance of the Earth. While existing publicly available datasets typically offer high accuracy in identifying large-scale forest ...
C&EN

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
Scientific Research Publishing

Remote Sensing Prospecting Method Based on Random Forest in Eastern Botswana Mining Area ()

In this study, multi-source remote sensing data and machine learning algorithms were used to delineate the prospect area of remote sensing geological prospecting in eastern Botswana. Landsat 8 remote ...
Scientific Research Publishing

Identification of Commercial Forest Tree Species Using Sentinel 2 and Planet Scope Imageries in the Usutu Forest, Eswatini ()

Planning Department, Usutu Forest, Bhunya, Eswatini. Figure 1. Study site Map. (A): Locality of Eswatini within the Southern African region. (B): Locality of the Usuthu Forest Plantations within ...
IEEE

Cascaded Random Forest for Hyperspectral Image Classification

Abstract: This paper proposes a Cascaded Random Forest (CRF) method, which can improve the classification performance by means of combining two different enhancements into the Random Forest (RF) ...