Deep Learning Ensemble for Hyperspectral Image Classification
Sign Up to like & getrecommendations! 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… read more here.
Keywords: learning ensemble; classification; hyperspectral image; deep learning ... See more keywords
Semisupervised Multiple Choice Learning for Ensemble Classification.
Sign Up to like & getrecommendations! 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… read more here.
Keywords: choice learning; learning ensemble; semisupervised multiple; multiple choice ... See more keywords
Reinforcement Online Active Learning Ensemble for Drifting Imbalanced Data Streams
Sign Up to like & getrecommendations! 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… read more here.
Keywords: active learning; class; reinforcement online; learning ensemble ... See more keywords
Sports Economic Operation Index Prediction Model Based on Deep Learning and Ensemble Learning
Sign Up to like & getrecommendations! 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… read more here.
Keywords: operation; ensemble learning; sports economic; deep learning ... See more keywords
Contextually Enriched Meta-Learning Ensemble Model for Urdu Sentiment Analysis
Sign Up to like & getrecommendations! 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.… read more here.
Keywords: meta learning; urdu sentiment; sentiment; model ... See more keywords