Journal of Hydroinformatics, 2021 Growing demands in arid regions have increased groundwater vulnerabilities necessitating appropriate modeling and management strategies to understand and sustain aquifer system behaviors.
Mohsen Pourreza-Bilondi +2 more
exaly +3 more sources
Ensemble-Averaging Resolves Rapid Atmospheric Response to the 2017 Total Solar Eclipse
Frontiers in Earth Science, 2019 Rapid changes in solar radiative forcing influence heat, scalar and momentum fluxes and thereby shift the trajectory of near-surface atmospheric transitions.
Jason Kelley +2 more
exaly +3 more sources
Posterior averaging with Gaussian naive Bayes and the R package RandomGaussianNB for big-data classification [PDF]
Frontiers in Big DataRandomGaussianNB is an open-source R package implementing the posterior-averaging Gaussian naive Bayes (PAV-GNB) algorithm, a scalable ensemble extension of the classical GNB classifier.
Patchanok Srisuradetchai
doaj +2 more sources
An Enhanced Method to Estimate Heart Rate from Seismocardiography via Ensemble Averaging of Body Movements at Six Degrees of Freedom [PDF]
Sensors, 2018 Hyunwoo Lee +2 more
exaly +2 more sources
Improving the potential accuracy and usability of EURO-CORDEX estimates of future rainfall climate using frequentist model averaging [PDF]
Nonlinear Processes in Geophysics, 2021 Probabilities of future climate states can be estimated by fitting distributions to the members of an ensemble of climate model projections. The change in the ensemble mean can be used as an estimate of the change in the mean of the real climate. However,
S. Jewson +4 more
doaj +1 more source
Journal of Pathology Informatics, 2023 Strategies such as ensemble learning and averaging techniques try to reduce the variance of single deep neural networks. The focus of this study is on ensemble averaging techniques, fusing the results of differently initialized and trained networks ...
St. Göb +7 more
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GIT-Net: An Ensemble Deep Learning-Based GI Tract Classification of Endoscopic Images
Bioengineering, 2023 This paper presents an ensemble of pre-trained models for the accurate classification of endoscopic images associated with Gastrointestinal (GI) diseases and illnesses.
Hemalatha Gunasekaran +4 more
doaj +1 more source
De praeceptis ferendis: good practice in multi-model ensembles [PDF]
Atmospheric Chemistry and Physics, 2014 Ensembles of air quality models have been formally and empirically shown to outperform single models in many cases. Evidence suggests that ensemble error is reduced when the members form a diverse and accurate ensemble.
I. Kioutsioukis, S. Galmarini
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The method of residual-based bootstrap averaging of the forecast ensemble
Financial Innovation, 2023 This paper presents an optimization approach—residual-based bootstrap averaging (RBBA)—for different types of forecast ensembles. Unlike traditional residual-mean-square-error-based ensemble forecast averaging approaches, the RBBA method attempts to find
Vera Ivanyuk
doaj +1 more source
Ensemble Interval Prediction for Solar Photovoltaic Power Generation
Energies, 2022 In recent years, solar photovoltaic power generation has emerged as an essential means of energy supply. The prediction of its active power is not only conducive to cost saving but can also promote the development of solar power generation industry ...
Yaxin Zhang, Tao Hu
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