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Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2915259
Abstract: Deep learning models, especially deep convolutional neural networks (CNNs), have been intensively investigated for hyperspectral image (HSI) classification due to their powerful feature extraction ability. In the same manner, ensemble-based learning systems have demonstrated high…
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Keywords:
learning ensemble;
classification;
hyperspectral image;
deep learning ... See more keywords
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Published in 2020 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2020.3016048
Abstract: Ensemble learning has many successful applications because of its effectiveness in boosting the predictive performance of classification models. In this article, we propose a semisupervised multiple choice learning (SemiMCL) approach to jointly train a network…
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Keywords:
choice learning;
learning ensemble;
semisupervised multiple;
multiple choice ... See more keywords
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Published in 2022 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2020.3026196
Abstract: Applications challenged by the joint problem of concept drift and class imbalance are attracting increasing research interest. This paper proposes a novel Reinforcement Online Active Learning Ensemble for Drifting Imbalanced data stream (ROALE-DI). The ensemble…
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Keywords:
active learning;
class;
reinforcement online;
learning ensemble ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/9085349
Abstract: In order to construct a prediction model of sports economic operation indicators, this paper combines deep learning and ensemble learning algorithms to integrate and improve the algorithms and analyzes the principles of the LightGBM ensemble…
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Keywords:
operation;
ensemble learning;
sports economic;
deep learning ... See more keywords
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Published in 2024 at "PLOS ONE"
DOI: 10.1371/journal.pone.0296789
Abstract: The recognition of food images is of great significance for nutrition monitoring, food retrieval and food recommendation. However, the accuracy of recognition had not been high enough due to the complex background of food images…
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Keywords:
learning ensemble;
food;
transfer learning;
based transfer ... See more keywords
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Published in 2025 at "International Journal on Advanced Science, Engineering and Information Technology"
DOI: 10.18517/ijaseit.15.2.20947
Abstract: This study aims to develop and validate an enhanced early prediction model for diabetes utilizing machine learning and ensemble techniques, aimed at addressing the rapid increase in diabetes prevalence and the associated healthcare burden. Leveraging…
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Keywords:
learning ensemble;
early prediction;
machine learning;
ensemble methods ... See more keywords
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Published in 2024 at "Frontiers in Environmental Science"
DOI: 10.3389/fenvs.2023.1304400
Abstract: The accurate estimation of cropland net primary productivity (NPP) remains a significant challenge. We hypothesized that incorporating prior information on NPP simulated by process-based models into normalized difference vegetation index (NDVI) data would improve the…
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Keywords:
learning ensemble;
process based;
based models;
npp ... See more keywords
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Published in 2025 at "Diagnostics"
DOI: 10.3390/diagnostics15222829
Abstract: Background/Objectives: Breast cancer remains one of the leading causes of mortality among women, necessitating continued advancements in diagnostic methods to enhance early detection and treatment outcomes. This review explores the current landscape of breast cancer…
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Keywords:
classification;
breast cancer;
learning ensemble;
machine learning ... See more keywords
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1
Published in 2023 at "Symmetry"
DOI: 10.3390/sym15030645
Abstract: The task of analyzing sentiment has been extensively researched for a variety of languages. However, due to a dearth of readily available Natural Language Processing methods, Urdu sentiment analysis still necessitates additional study by academics.…
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Keywords:
meta learning;
urdu sentiment;
sentiment;
model ... See more keywords