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Listar por palabra clave "Random forests"

Mostrando ítems 1-10 de 10

A comparison of artificial neural networks and random forests to predict native fish species richness in Mediterranean rivers

Olaya Marín, Esther Julia; Martinez-Capel, Francisco; Vezza, Paolo (EDP Sciences, 2013)

[EN] Machine learning (ML) techniques have become important to support decision making in management and conservation of freshwater aquatic ecosystems. Given the large number of ML techniques and to improve the ...
Análisis, diseño e implementación de clasificadores genómicos para la detección de distrofias hereditarias de la retina mediante técnicas de machine learning.

Vaño Ribelles, Andrea (Universitat Politècnica de València, 2022-09-05)

[ES] Las distrofias hereditarias de la retina (DHR) engloban a un conjunto de enfermedades que se caracterizan, en la mayoría de los casos, por una degeneración progresiva de los fotorreceptores, dando lugar a una pérdida ...
Aprendizaje automático aplicado a la detección de microplásticos

Serna Carrillo, Juliana (Universitat Politècnica de València, 2024-11-10)

[ES] Los microplásticos, son pequeñas partículas plásticas que se encuentran compuestos principalmente de polímeros como polietileno, polipropileno y tereftalato de polietileno. La alta presencia de microplásticos en el ...
Classification of forest development stages from national low-density lidar datasets: a comparison of machine learning methods

Valbuena, R.; Maltamo, M.; Packalen, P. (Universitat Politècnica de València, 2016-02-26)

[EN] The area-based method has become a widespread approach in airborne laser scanning (ALS), being mainly employed for the estimation of continuous variables describing forest attributes: biomass, volume, density, etc. ...
Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean rivers

Mouton, A.M.; Alcaraz-Hernández, Juan Diego; De Baets, B.; Goethals, , P.L.M; Martinez-Capel, Francisco (Elsevier, 2010-12-30)

[EN] In recent years, fuzzy models have been acknowledged as a suitable approach for species distribution modelling due to their transparency and their ability to incorporate the ecological gradient theory. Specifically, ...
Implementación de una clasificación Eco-Hidrológica de los ríos de Chile y su aplicación a la gestión ambiental

Peredo Parada, Matías Manuel (Universitat Politècnica de València, 2011-09-12)

En Chile existe un aumento en la preocupación por proteger y conservar los ecosistemas acuáticos debido al elevado valor ecológico y, principalmente, al alto grado de endemismo de las especies. Lamentablemente, las acciones ...
Predicting the traction power of metropolitan railway lines using different machine learning models

Pineda-Jaramillo, J.; Martínez Fernández, Pablo; Villalba Sanchis, Ignacio; Salvador Zuriaga, Pablo; Insa Franco, Ricardo (Taylor & Francis, 2021-09-03)

[EN] Railways are an efficient transport mean with lower energy consumption and emissions in comparison to other transport means for freight and passengers, and yet there is a growing need to increase their efficiency. To ...
Prediction of the Estimated Time of Arrival of container ships on short-sea shipping: A pragmatical analysis

Valero, Clara I.; Martínez, Ángel; Oltra Badenes, Raúl Francisco; Gil Gómez, Hermenegildo; Boronat, Fernando; Palau Salvador, Carlos Enrique (Institute of Electrical and Electronics Engineers, 2022-11)

[EN] Fighting against climate change and global warming is one of the biggest challenges faced by the Maritime Industry nowadays to make the supply chain greener and environmentally sustainable. Cutting greenhouse gases ...
Random forests to evaluate interspecific interactions in fish distribution models

Vezza, Paolo; Muñoz Mas, Rafael; Martinez-Capel, Francisco; Mouton, A. (Elsevier, 2015-05)

[EN] Previous research indicated that high predictive performance in species distribution modelling can be obtained by combining both biotic and abiotic habitat variables. However, models developed for fish often only ...
Tree-based ensembles unveil the microhabitat suitability for the invasive bleak (Alburnus alburnus L.) and pumpkinseed (Lepomis gibbosus L.): Introducing XGBoost to eco-informatics

Muñoz-Mas, Rafael; Gil-Martínez, Enric; Oliva-Paterna, Francisco J.; Belda, E.J.; Martinez-Capel, Francisco (Elsevier, 2019-09)

[EN] Random Forests (RFs) and Gradient Boosting Machines (GBMs) are popular approaches for habitat suitability modelling in environmental flow assessment. However, both present some limitations theoretically solved by ...