… Deep ensemble learning models combine the advantages of both the deep learning models
as well as the ensemble learning … This paper reviews the state-of-art deep ensemble models …

… ensemble deep learning models. Finally, we comprehensively survey numerous research
efforts that used ensemble learning … on ensemble learning and deep learning techniques …

… popular field of ensemble deep learning and its application to various … ensemble and deep
learning, and summarize and categorize the latest developments in ensemble deep learning. …

… routes of both traditional ensemble learning and ensemble deep learning. First, … of ensemble
learning and the gap between ensemble deep learning and traditional ensemble learning. …

… also explore log-linear stacking in ensemble learning, which has some special … deep
learning subsystems. Finally, we apply stacking only at a component of the full ensemble-learning …

… We propose an ensemble deep learning model for novel COVID-19 detection from CT …
Transfer learning was used to initialize model parameters and pretrain three deep convolutional …

… advantages of deep learning and the ensemble method, a deep learning ensemble method
is proposed for HSI classification. There are two core factors that define a good ensemble-…

… in recent years to incorporate the ensemble and DNN methods. … ensemble deep learning is
to introduce deep learning directly … deep learning models on the proposed ensemble method. …

… Deep learning and ensemble learning are the two most … Ensemble deep learning is a recent
development which … In this paper, we extensively review the use of ensemble deep learning …

… In this work, the effectiveness of the deep learning model is … designing a stacked ensemble
deep learning model that can … is considered using the proposed ensemble model. The gene …