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
A New Approach for Prediction of Solar Radiation with Using Ensemble Learning Algorithm
Sign Up to like & getrecommendations! Published in 2019 at "Arabian Journal for Science and Engineering"
DOI: 10.1007/s13369-019-03841-7
Abstract: This article investigates the competence of ensemble learning techniques in solar irradiance prediction. It was seen from the literature survey, an ensemble tree model, random forests is studied more frequently as ensemble models. However, ensemble… read more here.
Keywords: ensemble learning; solar irradiance; boosting bagging; ensemble models ... See more keywords
Integrated cost-optimal residential envelope retrofit decision-making and power systems optimisation using Ensemble models
Sign Up to like & getrecommendations! Published in 2020 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2020.109833
Abstract: Abstract The dynamic integration of building energy models and power system models is essential to analyse the potential supply-side benefits of adopting Energy Conservation Measures (ECM) at the national, regional scale. The integration of these… read more here.
Keywords: methodology; power systems; ensemble models; power ... 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
m5c-iEnsem: 5-methylcytosine sites identification through ensemble models
Sign Up to like & getrecommendations! Published in 2024 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btae722
Abstract: Abstract Motivation 5-Methylcytosine (m5c), a modified cytosine base, arises from adding a methyl group at the 5th carbon position. This modification is a prevalent form of post-transcriptional modification (PTM) found in various types of RNA.… read more here.
Keywords: m5c; m5c iensem; ensemble models; iensem methylcytosine ... See more keywords
Analysis of the ultrasonic signal in polymeric contaminated insulators through ensemble learning methods
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3161506
Abstract: Outdoor insulators may experience stress due to severe environmental conditions, such as pollution and contamination. Through the identification of partial discharges by ultrasonic noise, it is possible to assess the possibility of a power grid… read more here.
Keywords: ensemble models; ensemble learning; analysis ultrasonic; signal ... See more keywords
A Study on the Application of Explainable AI on Ensemble Models for Predictive Analysis of Chronic Kidney Disease
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3535692
Abstract: Chronic Kidney Disease (CKD) is one of the widespread Chronic diseases with no known ultimo cure and high morbidity. Research demonstrates that progressive CKD is a heterogeneous disorder that significantly impacts kidney structure and functions,… read more here.
Keywords: disease; kidney disease; ensemble models; study application ... See more keywords
On the Assessment of Ensemble Models for Propagation Loss Forecasts in Rural Environments
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Wireless Communications Letters"
DOI: 10.1109/lwc.2022.3157520
Abstract: This letter assesses different ensemble models, exploited to forecast propagation loss in rural environments. Stacking, voting, bagging, and gradient boosted trees ensemble techniques are evaluated using path loss data recorded in various rural locations all… read more here.
Keywords: ensemble models; loss; assessment ensemble; rural environments ... See more keywords
Accurate wind speed forecasting through ensemble models: A real-world case study in Sfax, Tunisia
Sign Up to like & getrecommendations! Published in 2025 at "Wind Engineering"
DOI: 10.1177/0309524x251395411
Abstract: The inherent variability of wind energy necessitates precise forecasting for its effective grid integration. This study investigates machine learning techniques for wind speed forecasting, applying Random Forest, AdaBoost, and Support Vector Regression (SVR), alongside a… read more here.
Keywords: accurate wind; wind speed; speed forecasting; ensemble models ... See more keywords
GNNs and ensemble models enhance the prediction of new sRNA-mRNA interactions in unseen conditions
Sign Up to like & getrecommendations! Published in 2025 at "BMC Bioinformatics"
DOI: 10.1186/s12859-025-06153-w
Abstract: Bacterial small RNAs (sRNAs) are pivotal in post-transcriptional regulation, affecting functions like virulence, metabolism, and gene expression by binding specific mRNA targets. Identifying these targets is crucial to understanding sRNA regulation across species. Despite advancements… read more here.
Keywords: unseen conditions; interactions unseen; srna mrna; ensemble models ... See more keywords
Automatic Age and Gender Recognition Using Ensemble Learning
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14166868
Abstract: The use of speech-based recognition technologies in human–computer interactions is increasing daily. Age and gender recognition, one of these technologies, is a popular research topic used directly or indirectly in many applications. In this research,… read more here.
Keywords: age gender; recognition; gender recognition; ensemble models ... See more keywords