Fast AI for satellite learns to quantify uncertainty

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
Cancer Therapy Advisor

Deep Learning Ensemble Shows Potential for Identifying Melanoma

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models ...
EurekAlert!

E2E: an R package for easy-to-build ensemble models

A diagram illustrating the workflow of the E2E package, from data input to model construction using ensemble methods like Bagging and Stacking, through model evaluation and interpretation, to final ...
IEEE

Introducing Ensemble Machine Learning Algorithms for Automatic Test Case Generation using Learning Based Testing

Abstract: Context: Ensemble methods are powerful machine learning algorithms that combine multiple models to enhance prediction capabilities and reduce generalization errors. However, their potential ...
IEEE

Learning Classifier Performance in an Ensemble of Classifiers for Personality Prediction Using Laughter

Abstract: This paper conducts a study on the acoustic features of laughter signals and performs experiments to identify the most relevant features. Different acoustic features are extracted from ...
Scientific Research Publishing

A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites ()

The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
Frontiers

Rapid identification of lactic acid bacteria at species/subspecies level via ensemble learning of Ramanomes

Rapid and accurate identification of lactic acid bacteria (LAB) species would greatly improve the screening rate for functional LAB. Although many conventional and molecular methods have proven ...