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Mostrando ítems 11-20 de 447
Predicting current and future global distribution of invasive Ligustrum lucidum W.T. Aiton: Assessing emerging risks to biodiversity hotspots
(Wiley Blackwell Publishing, Inc, 2021-06)
Aim: Biological invasions represent one of the main anthropogenic drivers of global change with a substantial impact on biodiversity. This impact can be particularly acute in biodiversity hotspots. Ligustrum lucidum W.T. ...
Forecasting Temporal Dynamics of Cutaneous Leishmaniasis in Northeast Brazil
(Public Library of Science, 2014)
scikit-forecasts: Una librería en Python para el pronóstico de series de tiempo no lineales
(Universidad Nacional de ColombiaMedellín - Minas - Maestría en Ingeniería - Ingeniería de SistemasDepartamento de la Computación y la DecisiónFacultad de MinasMedellín, ColombiaUniversidad Nacional de Colombia - Sede Medellín, 2021)
El interés en el uso de técnicas de aprendizaje de máquinas, y en general, de modelos no lineales para el pronóstico de series de tiempo ha crecido exponencialmente en las últimas dos décadas. Sin embargo, muchas de las ...
The effect of past defaunation on ranges, niches, and future biodiversity forecasts
(2022-01-01)
Humans have reshaped the distribution of biodiversity across the globe, extirpating species from regions otherwise suitable and restricting populations to a subset of their original ranges. Here, we ask if anthropogenic ...
Entre a ecologia e o mercado: o desafio de pensar um ecodireito
(Universidade do Vale do Rio do Sinos, 2007-02-27)
In the context of the societies contemporaries, characterized for extreme complexity and contingency, we can observe the effect of a violent ambient degradation, through innumerable catastrophic natural events, as signals ...
Entre a ecologia e o mercado: o desafio de pensar um ecodireito
(Universidade do Vale do Rio do Sinos, 2007-02-27)
In the context of the societies contemporaries, characterized for extreme complexity and contingency, we can observe the effect of a violent ambient degradation, through innumerable catastrophic natural events, as signals ...
Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zones
(Nature Publishing Group, 2017)
A longitudinal approach for understanding algorithm use
(WILEY, 2022)
Research suggests that algorithms-based on artificial intelligence or linear regression models-make better predictions than humans in a wide range of domains. Several studies have examined the degree to which people use ...