Machine learning in occupational accident analysis: A review using science mapping approach with citation network analysis

S Sarkar, J Maiti - Safety science, 2020 - Elsevier
The present study reviews the publications that examine the application of machine learning
(ML) approaches in occupational accident analysis. The review process includes four …

Evolutionary algorithms for species distribution modelling: A review in the context of machine learning

S Gobeyn, AM Mouton, AF Cord, A Kaim, M Volk… - Ecological …, 2019 - Elsevier
Scientists and decision-makers need tools that can assess which specific pressures lead to
ecosystem deterioration, and which measures could reduce these pressures and/or limit …

Habitat preferences of Italian freshwater fish: A systematic review of data availability for applications of the MesoHABSIM model

G Negro, S Fenoglio, E Quaranta… - Frontiers in …, 2021 - frontiersin.org
The MesoHABitat SImulation Model (MesoHABSIM) is the preferred method to calculate
spatio-temporal variation in the fish habitat availability in Italian rivers. With the aim of …

Fish community responses to antecedent hydrological conditions based on long-term data in Mediterranean river basins (Iberian Peninsula)

R Fornaroli, R Muñoz-Mas, F Martinez-Capel - Science of the Total …, 2020 - Elsevier
In recent decades many studies have proven the paramount impact of flow regimes on the
structure of lotic ecosystems, both through extreme events (ie floods and droughts) but also …

Tree-based ensembles unveil the microhabitat suitability for the invasive bleak (Alburnus alburnus L.) and pumpkinseed (Lepomis gibbosus L.): Introducing XGBoost …

R Muñoz-Mas, E Gil-Martínez, FJ Oliva-Paterna… - Ecological …, 2019 - Elsevier
Abstract Random Forests (RFs) and Gradient Boosting Machines (GBMs) are popular
approaches for habitat suitability modelling in environmental flow assessment. However …

Determining the macroinvertebrate community indicators and relevant environmental predictors of the Hun-Tai River Basin (Northeast China): A study based on …

M Zhang, R Muñoz-Mas, F Martínez-Capel, X Qu… - Science of the Total …, 2018 - Elsevier
It is essential to understand the patterning of biota and environmental influencing factors for
proper rehabilitation and management at the river basin scale. The Hun-Tai River Basin was …

Factors driving dispersal and habitat use of loggerhead sea turtle post-hatchlings and its conservational implications

S Abalo-Morla, R Muñoz-Mas, J Tomás, EJ Belda - Marine Biology, 2023 - Springer
Nesting events of loggerhead sea turtles (Caretta caretta) are on the rise in the Western
Mediterranean Sea, far from their usual nesting areas in the Mediterranean and Atlantic …

Input variable selection with a simple genetic algorithm for conceptual species distribution models: A case study of river pollution in Ecuador

S Gobeyn, M Volk, L Dominguez-Granda… - … Modelling & Software, 2017 - Elsevier
Species distribution models (SDMs) have received increasing attention in freshwater
management to support decision making. Existing SDMs are mainly data-driven and often …

Reaffirming the Loma Mountains National Park in Sierra Leone as a critical site for the conservation of West African chimpanzee (Pan troglodytes verus)

G Molina‐Vacas, R Muñoz‐Mas… - American Journal of …, 2023 - Wiley Online Library
Abstract The population of West African chimpanzees (Pan troglodytes verus) is declining
rapidly mostly due to the impact of human activities and habitat loss. Sierra Leone harbors …

Revisiting probabilistic neural networks: A comparative study with support vector machines and the microhabitat suitability for the Eastern Iberian chub (Squalius …

R Munoz-Mas, S Fukuda, J Pórtoles… - Ecological …, 2018 - Elsevier
Abstract Probabilistic Neural Networks (PNNs) and Support Vector Machines (SVMs) are
flexible classification techniques suited to render trustworthy species distribution and habitat …