Sequential extreme learning machines for class imbalance and concept drift

Multiple extreme learning machines for a two-class imbalance corporate life cycle prediction

Knowledge-Based Systems ◽

10.1016/j.knosys.2012.11.003 ◽

2013 ◽

Vol 39 ◽

pp. 214-223 ◽

Cited By ~ 39

Author(s):

Sin-Jin Lin ◽

Chingho Chang ◽

Ming-Fu Hsu

Keyword(s):

Life Cycle ◽

Class Imbalance ◽

Extreme Learning Machines ◽

Learning Machines ◽

Corporate Life Cycle

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GPU-Accelerated Extreme Learning Machines for Imbalanced Data Streams with Concept Drift

Procedia Computer Science ◽

10.1016/j.procs.2016.05.509 ◽

2016 ◽

Vol 80 ◽

pp. 1692-1701 ◽

Cited By ~ 8

Author(s):

Bartosz Krawczyk

Keyword(s):

Data Streams ◽

Concept Drift ◽

Imbalanced Data ◽

Extreme Learning Machines ◽

Learning Machines

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Ensemble of extreme learning machines for diagnosing bearing defects in non-stationary environments under class imbalance condition

2016 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2016.7849967 ◽

2016 ◽

Cited By ~ 4

Author(s):

Roozbeh Razavi-Far ◽

Mehrdad Saif

Keyword(s):

Class Imbalance ◽

Extreme Learning Machines ◽

Learning Machines ◽

Bearing Defects

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An approach to handle concept drift in financial time series based on Extreme Learning Machines and explicit Drift Detection

2015 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2015.7280721 ◽

2015 ◽

Cited By ~ 7

Author(s):

Rodolfo C. Cavalcante ◽

Adriano L. I. Oliveira

Keyword(s):

Time Series ◽

Financial Time Series ◽

Concept Drift ◽

Extreme Learning Machines ◽

Learning Machines ◽

Financial Time

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Extreme Learning Machines and Particle Swarm Optimization for Induction Motor Faults Detection and Classification

International Review of Electrical Engineering (IREE) ◽

10.15866/iree.v10i4.7048 ◽

2015 ◽

Vol 10 (4) ◽

pp. 501

Author(s):

Smail Bazi ◽

M. S. Nait Said

Keyword(s):

Particle Swarm Optimization ◽

Induction Motor ◽

Particle Swarm ◽

Extreme Learning Machines ◽

Swarm Optimization ◽

Learning Machines

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Algoritmo Baseado Em Cardumes De Peixes Modificado Para A Otimização De Extreme Learning Machines

10.21528/cbic2011-32.2 ◽

2016 ◽

Author(s):

João Fausto Lorenzato de Oliveira ◽

Teresa B. Ludermir

Keyword(s):

Extreme Learning Machines ◽

Learning Machines

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Correction to: Deep kernel learning in extreme learning machines

Pattern Analysis and Applications ◽

10.1007/s10044-020-00944-y ◽

2021 ◽

Author(s):

A. L. Afzal ◽

Nikhitha K. Nair ◽

S. Asharaf

Keyword(s):

Kernel Learning ◽

Extreme Learning Machines ◽

Learning Machines

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Cooperative Spectrum Sensing Using Extreme Learning Machines for Cognitive Radio Networks

IETE Technical Review ◽

10.1080/02564602.2021.1896979 ◽

2021 ◽

pp. 1-15

Author(s):

Manish Kumar Giri ◽

Saikat Majumder

Keyword(s):

Cognitive Radio ◽

Spectrum Sensing ◽

Cognitive Radio Networks ◽

Cooperative Spectrum Sensing ◽

Radio Networks ◽

Extreme Learning Machines ◽

Learning Machines

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Extreme learning machines’ ensemble selection with GRASP

Applied Intelligence ◽

10.1007/s10489-015-0653-2 ◽

2015 ◽

Vol 43 (2) ◽

pp. 439-459 ◽

Cited By ~ 12

Author(s):

Ting Zhang ◽

Qun Dai ◽

Zhongchen Ma

Keyword(s):

Extreme Learning Machines ◽

Learning Machines ◽

Ensemble Selection

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Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2014.2367775 ◽

2015 ◽

Vol 64 (7) ◽

pp. 1790-1801 ◽

Cited By ~ 158

Author(s):

Lei Zhang ◽

David Zhang

Keyword(s):

Domain Adaptation ◽

Extreme Learning Machines ◽

Learning Machines ◽

Drift Compensation

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