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Land-use and land-cover change in Atlantic Forest landscapes
(ELSEVIER SCIENCE BVAMSTERDAM, 2012)
The Atlantic Forest is one of the most threatened tropical biomes, with much of the standing forest in small (less than 50 ha), disturbed and isolated patches. The pattern of land-use and land-cover change (LULCC) which ...
Detección de Amenazas de Seguridad utilizando Algoritmos de Machine Learning aplicado a la Red Administrativa de la Carrera de Software.
(Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería en Sistemas Computacionales., 2022-09)
El presente trabajo de titulación plantea un diseño de un modelo de seguridad para la detección
de amenazas que surgen en una red, con el uso de algoritmos de machine learning. Se realizó
una recolección de información ...
A block-based Markov random field model estimation for contextual classification using Optimum-Path Forest
(2016-07-29)
Contextual image classification aims at considering the information about nearby samples in the learning process in order to provide more accurate results. In this paper, we propose a locally-adaptive Optimum-Path Forest ...
Forest-Genetic method to optimize parameter design of multiresponse experiment
(2020-08-27)
We propose a methodology for the improvement of the parameter design that consists of the combination ofRandom Forest (RF) with Genetic Algorithms (GA) in 3 phases: normalization, modelling and ...
Identification of significative lidar metrics and comparison of machine learning approaches for estimating stand and diversity variables in heterogeneous brazilian atlantic forest
(2021-07-01)
Data collection and estimation of variables that describe the structure of tropical forests, diversity, and richness of tree species are challenging tasks. Light detection and ranging (LiDAR) is a powerful technique due ...
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 ...