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Forest restoration monitoring through digital processing of high resolution images
(Ecological Engineering, 2019)
Structural–functional approach to identify post-disturbance recovery indicators in forests from northwestern Patagonia: a tool to prevent state transitions
(Elsevier, 2015-05)
The disruption of the natural post-disturbance recovery process, either by changes in disturbance regime or by another disturbance, can trigger transitions to alternative degraded states. In a scenario of high disturbance ...
Medium and large-sized mammals in a premontane moist forest fragment, Atenas, Costa Rica
(Universidad de Costa Rica, 2023)
Improving the accuracy of the optimum-path forest supervised classifier for large datasets
(2010-12-15)
In this work, a new approach for supervised pattern recognition is presented which improves the learning algorithm of the Optimum-Path Forest classifier (OPF), centered on detection and elimination of outliers in the ...
Fast non-technical losses identification through Optimum-Path Forest
(2009-12-09)
Fraud detection in energy systems by illegal consumers is the most actively pursued study in non-technical losses by electric power companies. Commonly used supervised pattern recognition techniques, such as Artificial ...
Improving the accuracy of the optimum-path forest supervised classifier for large datasets
(2010-12-15)
In this work, a new approach for supervised pattern recognition is presented which improves the learning algorithm of the Optimum-Path Forest classifier (OPF), centered on detection and elimination of outliers in the ...
Fast non-technical losses identification through Optimum-Path Forest
(2009-12-09)
Fraud detection in energy systems by illegal consumers is the most actively pursued study in non-technical losses by electric power companies. Commonly used supervised pattern recognition techniques, such as Artificial ...
A New Approach for Nontechnical Losses Detection Based on Optimum-Path Forest
(Institute of Electrical and Electronics Engineers (IEEE), 2011-02-01)
Nowadays, fraud detection is important to avoid nontechnical energy losses. Various electric companies around the world have been faced with such losses, mainly from industrial and commercial consumers. This problem has ...
O2PF: Oversampling via optimum-path forest for breast cancer detection
(2020-07-01)
Breast cancer is among the most deadly diseases, distressing mostly women worldwide. Although traditional methods for detection have presented themselves as valid for the task, they still commonly present low accuracies ...