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Intelligent gravitational search random forest algorithm for fake news detection
(World Scientific, 2022-01-01)
Online social media has made the process of disseminating news so quick that people have shifted their way of accessing news from traditional journalism and press to online social media sources. The rapid rotation of news ...
The Yield Curve as a Recession Leading Indicator. An Application for Gradient Boosting and Random Forest
Most representative decision-tree ensemble methods have been used to examine the variable importance of Treasury term spreads to predict US economic recessions with a balance of generating rules for US economic recession ...
Effects of agriculture and topography on tropical amphibian species and communities
(2018-09-01)
Habitat loss is the greatest threat to the persistence of forest-dependent amphibians, but it is not the only factor influencing species occurrences. The composition of the surrounding matrix, structure of stream networks, ...
Detection Of Fine Scale Niche Assembly In A Tropical Forest Through Analysis Of Indirect Environmental Variables
(ELSEVIER GMBH, URBAN & FISCHER VERLAGJENA, 2015)
Faecal DNA and camera traps detect an evolutionarily significant unit of the Amazonian brocket deer in the Brazilian Atlantic Forest
(Springer, 2020-02-21)
The Amazonian grey brocket deer (Mazama nemorivaga) is a large mammal species that until now has been assumed to be limited to the Amazon region and has not been categorized to be threatened. In this study, we provide ...
LEARNING SPAM FEATURES USING RESTRICTED BOLTZMANN MACHINES
(Iadis, 2016-01-01)
Nowadays, spam detection has been one of the foremost machine learning-oriented applications in the context of security in computer networks. In this work, we propose to learn intrinsic properties of e-mail messages by ...
Fast action detection via discriminative random forest voting and top-K subvolume search
(Institute of Electrical and Electronics Engineers, 2011-06)
Multiclass action detection in complex scenes is a challenging problem because of cluttered backgrounds and the large intra-class variations in each type of actions. To achieve efficient and robust action detection, we ...
The effect of reduced-impact logging on fruit-feeding butterflies in Central Amazon, Brazil
(SpringerDordrechtHolanda, 2012)
Reconstrução histórica de mudanças na cobertura florestal em várzeas do baixo amazonas utilizando o algoritmo landtrendr
(2016-01-01)
The Amazon várzeas are an important component of the Amazon biome, but anthropic and climatic impacts have been leading to forest loss and interruption of essential ecosystem functions and services. The objectives of this ...