Classification of neovascularization on retinal images using extreme learning machine
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22529
Abstract: Proliferative diabetic retinopathy is the advanced stage of diabetic retinopathy (DR) resulting in the growth of abnormal vessels on the retinal surface termed as neovascularization. This article primarily deals with the timely detection and classification… read more here.
Keywords: classification; extreme learning; using extreme; learning machine ... See more keywords
A transfer weighted extreme learning machine for imbalanced classification
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22899
Abstract: Previous class imbalance learning methods are mostly grounded on the assumption that all training data have been labeled, however, is impractical in many real‐world applications. The limited amount of labeled instances may produce a classifier… read more here.
Keywords: transfer weighted; classification; weighted extreme; learning machine ... See more keywords
Stone weir scour modelling in curved canals using a weighted regularized extreme learning machine *
Sign Up to like & getrecommendations! Published in 2021 at "Irrigation and Drainage"
DOI: 10.1002/ird.2592
Abstract: In this paper, a novel weighted regularized extreme learning machine (WRELM) was used for the first time to simulate the scour depth around J‐, I‐ and W‐shaped stone weirs in curved canals. In the first… read more here.
Keywords: extreme learning; regularized extreme; wrelm; learning machine ... See more keywords
Extreme learning machine Cox model for high-dimensional survival analysis.
Sign Up to like & getrecommendations! Published in 2019 at "Statistics in medicine"
DOI: 10.1002/sim.8090
Abstract: Some interesting recent studies have shown that neural network models are useful alternatives in modeling survival data when the assumptions of a classical parametric or semiparametric survival model such as the Cox (1972) model are… read more here.
Keywords: cox model; extreme learning; learning machine; model ... See more keywords
Dynamic Adjustment of Hidden Layer Structure for Convex Incremental Extreme Learning Machine
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1007/978-3-319-28373-9_30
Abstract: Extreme Learning Machine (ELM) is a learning algorithm based on generalized single-hidden-layer feed-forward neural network. Since ELM has an excellent performance on regression and classification problems, it has been paid more and more attention recently.… read more here.
Keywords: extreme learning; elm; learning machine; hidden layer ... See more keywords
Timeliness Online Regularized Extreme Learning Machine
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/978-3-319-28397-5_37
Abstract: A novel online sequential extreme learning machine (ELM) algorithm with regularization mechanism in a unified framework is proposed in this paper. This algorithm is called timeliness online regularized extreme learning machine (TORELM). Like the timeliness… read more here.
Keywords: online regularized; machine; extreme learning; learning machine ... See more keywords
Decay-weighted extreme learning machine for balance and optimization learning
Sign Up to like & getrecommendations! Published in 2017 at "Machine Vision and Applications"
DOI: 10.1007/s00138-017-0828-4
Abstract: The original extreme learning machine (ELM) was designed for the balanced data, and it balanced misclassification cost of every sample to get the solution. Weighted extreme learning machine assumed that the balance can be achieved… read more here.
Keywords: machine; extreme learning; learning machine; weighted extreme ... See more keywords
Model NOx emission and thermal efficiency of CFBB based on an ameliorated extreme learning machine
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2653-0
Abstract: Extreme learning machine (ELM) is a novel single hidden layer feed-forward network, which has become a research hotspot in various domains. Through in-depth analysis on ELM, there are four factors mainly affect its model performance,… read more here.
Keywords: machine; extreme learning; learning machine; model ... See more keywords
Training an extreme learning machine by localized generalization error model
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-018-3012-5
Abstract: Extreme learning machine (ELM) is a non-iterative algorithm for training single-hidden layer feed-forward networks, whose training speed is much faster than those of conventional neural networks. However, its objective is only to minimize the empirical… read more here.
Keywords: generalization; generalization error; extreme learning; learning machine ... See more keywords
Adaptive multiple graph regularized semi-supervised extreme learning machine
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-018-3109-x
Abstract: Semi-supervised extreme learning machine (SSELM) was proposed as an effective algorithm for machine learning and pattern recognition. However, the performance of SSELM heavily depends on whether the underlying geometrical structure of the data can be… read more here.
Keywords: machine; semi supervised; extreme learning; learning machine ... See more keywords
Efficient extreme learning machine via very sparse random projection
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-018-3128-7
Abstract: Extreme learning machine (ELM) is a kind of random projection-based neural networks, whose advantages are fast training speed and high generalization. However, three issues can be improved in ELM: (1) the calculation of output weights takes… read more here.
Keywords: random projection; extreme learning; elm; layer ... See more keywords