Metaheuristic-based ensemble learning: an extensive review of methods and applications
Sign Up to like & getrecommendations! Published in 2024 at "Neural Computing and Applications"
DOI: 10.1007/s00521-024-10203-4
Abstract: Ensemble learning has become a cornerstone in various classification and regression tasks, leveraging its robust learning capacity across disciplines. However, the computational time and memory constraints associated with almost all-learners-based ensembles necessitate efficient approaches. Ensemble… read more here.
Keywords: metaheuristic based; selective ensembles; based ensemble; ensemble learning ... See more keywords
Nowcasting US GDP Using Tree-Based Ensemble Models and Dynamic Factors
Sign Up to like & getrecommendations! Published in 2021 at "Computational Economics"
DOI: 10.1007/s10614-020-10083-5
Abstract: In this study, we nowcast quarter-over-quarter US GDP growth rates between 2000Q2 and 2018Q4 using tree-based ensemble machine learning models, namely, bagged decision trees, random forests, and stochastic gradient tree boosting. To solve the ragged… read more here.
Keywords: ensemble models; based ensemble; tree based; dynamic factors ... See more keywords
Comparison of tree-based ensemble learning algorithms for landslide susceptibility mapping in Murgul (Artvin), Turkey
Sign Up to like & getrecommendations! Published in 2024 at "Earth Science Informatics"
DOI: 10.1007/s12145-024-01259-w
Abstract: Turkey’s Artvin province is prone to landslides due to its geological structure, rugged topography, and climatic characteristics with intense rainfall. In this study, landslide susceptibility maps (LSMs) of Murgul district in Artvin province were produced.… read more here.
Keywords: landslide susceptibility; based ensemble; tree based; ensemble learning ... See more keywords
A deep learning based ensemble learning method for epileptic seizure prediction
Sign Up to like & getrecommendations! Published in 2021 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2021.104710
Abstract: In epilepsy, patients suffer from seizures which cannot be controlled with medicines or surgical treatments in more than 30% of the cases. Prediction of epileptic seizures is extremely important so that they can be controlled… read more here.
Keywords: based ensemble; deep learning; learning based; ensemble learning ... See more keywords
Quantification of sawgrass marsh aboveground biomass in the coastal Everglades using object-based ensemble analysis and Landsat data
Sign Up to like & getrecommendations! Published in 2018 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2017.10.018
Abstract: Abstract Large-scale biomass quantification of sawgrass (Cladium jamaicense) marsh is critical to understand the carbon and energy cycle in the Florida Everglades. There is also a need to monitor biomass changes in the coastal Everglades… read more here.
Keywords: sawgrass; object based; biomass; based ensemble ... See more keywords
A genetic algorithm-based ensemble model for efficiently identifying interleukin 6 inducing peptides
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-05491-2
Abstract: Interleukin-6 (IL-6) is a cytokine with diverse biological activities that contribute to a variety of physiologic and immune responses. IL-6–inducing peptides are the short protein fragments that are critical for playing a contributing role in… read more here.
Keywords: ensemble model; based ensemble; genetic algorithm; algorithm based ... See more keywords
Counterfactual explanations of tree based ensemble models for brain disease analysis with structure function coupling
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-92316-x
Abstract: Convergent evidence has suggested that the disruption of either structural connectivity (SC) or functional connectivity (FC) in the brain can lead to various neuropsychiatric disorders. Since changes in SC-FC coupling may be more sensitive than… read more here.
Keywords: disease; brain; based ensemble; tree based ... See more keywords
Robust parameter design based on the ensemble Bayesian model averaging
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2024.2442766
Abstract: There are various uncertainties in the manufacturing process, which may have a significant impact on the accuracy of modeling, leading to the failure of the final process design. Therefore, building accurate models plays an important… read more here.
Keywords: robust parameter; based ensemble; bayesian model; ensemble bayesian ... See more keywords
Multi-view crowd congestion monitoring system based on an ensemble of convolutional neural network classifiers
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Intelligent Transportation Systems"
DOI: 10.1080/15472450.2020.1746909
Abstract: Abstract Multi-view video surveillance is a highly valuable tool to ensure the safety of the crowd in large public space. By utilizing complementary information captured by multiple cameras, the issue of limited views and occlusion… read more here.
Keywords: view; based ensemble; convolutional neural; multi view ... See more keywords
Evaluation of tree-based ensemble learning algorithms for building energy performance estimation
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Building Performance Simulation"
DOI: 10.1080/19401493.2017.1354919
Abstract: Tree-based ensemble learning has received significant interest as one of the most reliable and broadly applicable classes of machine learning techniques. However, thus far, it has rarely been used to model and evaluate the drivers… read more here.
Keywords: based ensemble; learning algorithms; tree based; performance ... See more keywords
ncRNALocate-EL: a multi-label ncRNA subcellular locality prediction model based on ensemble learning.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in functional genomics"
DOI: 10.1093/bfgp/elad007
Abstract: Subcellular localizations of ncRNAs are associated with specific functions. Currently, an increasing number of biological researchers are focusing on computational approaches to identify subcellular localizations of ncRNAs. However, the performance of the existing computational methods… read more here.
Keywords: ensemble learning; ncrna subcellular; based ensemble; multi label ... See more keywords