Learners Reliability Estimated Through Neural Networks Applied to Build a Novel Hybrid Ensemble Method
Sign Up to like & getrecommendations! Published in 2017 at "Neural Processing Letters"
DOI: 10.1007/s11063-017-9586-6
Abstract: In this paper a novel hybrid ensemble method aiming at the improvement of models accuracy in regression tasks is presented. The basic idea of the approach is the creation of an ensemble learner composed by… read more here.
Keywords: reliability estimated; ensemble method; hybrid ensemble; learners reliability ... See more keywords
Hybrid ensemble model for differential diagnosis between COVID-19 and common viral pneumonia by chest X-ray radiograph
Sign Up to like & getrecommendations! Published in 2021 at "Computers in Biology and Medicine"
DOI: 10.1016/j.compbiomed.2021.104252
Abstract: Background Chest X-ray radiography (CXR) has been widely considered as an accessible, feasible, and convenient method to evaluate suspected patients’ lung involvement during the COVID-19 pandemic. However, with the escalating number of suspected cases, traditional… read more here.
Keywords: ensemble model; hybrid ensemble; covid; model ... See more keywords
A hybrid ensemble learning framework for basketball outcomes prediction
Sign Up to like & getrecommendations! Published in 2019 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2019.121461
Abstract: Abstract Basketball outcomes prediction is a vital technique for prospective player arrangement, injury avoidance, telecast right pricing, etc., which requires a understanding of the skill, luck, and other exterior factors of both teams. This paper… read more here.
Keywords: hybrid ensemble; ensemble learning; outcomes prediction; basketball ... See more keywords
A hybrid ensemble learning method for tourist route recommendations based on geo-tagged social networks
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Geographical Information Science"
DOI: 10.1080/13658816.2018.1458988
Abstract: ABSTRACT Geo-tagged travel photos on social networks often contain location data such as points of interest (POIs), and also users’ travel preferences. In this paper, we propose a hybrid ensemble learning method, BAyes-Knn, that predicts… read more here.
Keywords: location; learning method; social networks; geo tagged ... See more keywords
Novel Deep Hybrid and Ensemble Algorithms for Improving GPS Navigation Positioning Accuracy
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3272057
Abstract: GPS (Global Positioning System) has been a widespread system used for various purposes in today’s world and it is essential to suggest innovative effective solutions to improve its use and functions. The present study proposes… read more here.
Keywords: accuracy; hybrid ensemble; positioning accuracy; ensemble algorithms ... See more keywords
Hybrid Ensemble Deep Learning for Deterministic and Probabilistic Low-Voltage Load Forecasting
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Power Systems"
DOI: 10.1109/tpwrs.2019.2946701
Abstract: Accurate and reliable low-voltage load forecasting is critical to optimal operation and control of distribution network and smart grid. However, compared to traditional regional load forecasting at high-voltage level, it faces tough challenges due to… read more here.
Keywords: hybrid ensemble; low voltage; voltage; load forecasting ... See more keywords
IoT-Based Hybrid Ensemble Machine Learning Model for Efficient Diabetes Mellitus Prediction
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/2389636
Abstract: Nowadays, there is a growing need for Internet of Things (IoT)-based mobile healthcare applications that help to predict diseases. In recent years, several people have been diagnosed with diabetes, and according to World Health Organization… read more here.
Keywords: machine learning; hybrid ensemble; iot based; model ... See more keywords
Hybrid Ensemble Model for Predicting the Strength of FRP Laminates Bonded to the Concrete
Sign Up to like & getrecommendations! Published in 2022 at "Polymers"
DOI: 10.3390/polym14173505
Abstract: The goal of this work was to use a hybrid ensemble machine learning approach to estimate the interfacial bond strength (IFB) of fibre-reinforced polymer laminates (FRPL) bonded to the concrete using the results of a… read more here.
Keywords: hens model; strength; machine; hybrid ensemble ... See more keywords
Machine Learning-Based Hybrid Ensemble Model Achieving Precision Education for Online Education Amid the Lockdown Period of COVID-19 Pandemic in Pakistan
Sign Up to like & getrecommendations! Published in 2023 at "Sustainability"
DOI: 10.3390/su15065431
Abstract: Institutions of higher learning have made persistent efforts to provide students with a high-quality education. Educational data mining (EDM) enables academic institutions to gain insight into student data in order to extract information for making… read more here.
Keywords: online education; machine learning; hybrid ensemble; education ... See more keywords