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 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
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
Explosive Percolation Obeys Standard Finite-Size Scaling in an Event-Based Ensemble.
Sign Up to like & getrecommendations! Published in 2023 at "Physical review letters"
DOI: 10.1103/physrevlett.130.147101
Abstract: Explosive percolation in the Achlioptas process, which has attracted much research attention, is known to exhibit a rich variety of critical phenomena that are anomalous from the perspective of continuous phase transitions. Hereby, we show… read more here.
Keywords: event based; based ensemble; explosive percolation; standard finite ... See more keywords
An Augmented Reality Question Answering System Based on Ensemble Neural Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2743746
Abstract: This paper proposes a classification algorithm based on ensemble neural networks. In the training phase, the proposed algorithm uses a random number of training data to develop multiple random artificial neural network (ANN) models until… read more here.
Keywords: ensemble neural; neural networks; reality question; augmented reality ... See more keywords
Bearing Performance Degradation Assessment Based on Ensemble Empirical Mode Decomposition and Affinity Propagation Clustering
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2913186
Abstract: As key components in a rotating machinery system, bearings affect the safety of the entire mechanical system. Hence, early-stage monitor of bearing degradation is critical to avoid abrupt mechanical system failure. In this paper, a… read more here.
Keywords: decomposition; based ensemble; ensemble empirical; degradation ... See more keywords
A Meta-Heuristic Automatic CNN Architecture Design Approach Based on Ensemble Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3054117
Abstract: Convolutional Neural Networks (CNNs) models achieve a dominant performance on immense domains. There are CNNs that come in numerous topologies of different sizes. This field’s challenge is to design the right CNN architecture for a… read more here.
Keywords: design approach; based ensemble; architecture; design ... See more keywords
Conv-ERVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2022.3215533
Abstract: As per the latest statistics, Alzheimer's disease (AD) has become a global burden over the following decades. Identifying AD at the intermediate stage became challenging, with mild cognitive impairment (MCI) utilizing credible biomarkers and robust… read more here.
Keywords: network; rvfl; alzheimer disease; rvfl classifier ... See more keywords