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What is the importance of selecting features for non-technical losses identification?
(2011-08-02)
Although non-technical losses automatic identification has been massively studied, the problem of selecting the most representative features in order to boost the identification accuracy has not attracted much attention ...
What is the importance of selecting features for non-technical losses identification?
(2011-08-02)
Although non-technical losses automatic identification has been massively studied, the problem of selecting the most representative features in order to boost the identification accuracy has not attracted much attention ...
Identifying factors impacting the overall accuracy in image classification problems: a statistical approach
(Universidade Tecnológica Federal do Paraná (UTFPR), 2022)
Land-Cover Classification Using MaxEnt: Can We Trust in Model Quality Metrics for Estimating Classification Accuracy?
(MDPI Multidisciplinary Digital Publishing Institute, 2020-03)
MaxEnt is a popular maximum entropy-based algorithm originally developed for modelling species distribution, but increasingly used for land-cover classification. In this article, we used MaxEnt as a single-class land-cover ...
Automatic classification of fish germ cells through optimum-path forest
(2011-12-26)
The spermatogenesis is crucial to the species reproduction, and its monitoring may shed light over some important information of such process. Thus, the germ cells quantification can provide useful tools to improve the ...
Assessment of the effectiveness of supervised and unsupervised methods: maximizing land-cover classification accuracy with spectral indices data
(Society of Photo-Optical Instrumentation Engineers, 2019-01-14)
This study is aimed at evaluating the effectiveness of different supervised and unsupervised methods with information derived from Landsat satellite images and fieldwork in order to maximize the land cover classification ...