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Segmentation Framework for Heat Loss Identification in Thermal Images: Empowering Scottish Retrofitting and Thermographic Survey Companies
The objective of the framework is to au-tomatically identify, and crop heat loss sources caused by weak insulation, while also eliminating obstructive objects present in those images.
Two layer Ensemble of Deep Learning Models for Medical Image Segmentation
We propose a two-layer ensemble of deep learning models for the segmentation of medical images.
On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications
Random Forest (RF) is an ensemble supervised machine learning technique that was developed by Breiman over a decade ago.
An Outlier Detection-based Tree Selection Approach to Extreme Pruning of Random Forests
Many researchers, however, believe that there is still room for enhancing and improving its performance in terms of predictive accuracy.
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