Extreme Learning Machine for Mass Spectrometry Data Analysis-Reference-Cited by-同舟云学术

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Extreme Learning Machine for Mass Spectrometry Data Analysis

Published:2022-07-27 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Colombian Conference on Communications and Computing (COLCOM)
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Author:

Orellana Mario Ulloa¹,López-Cortès Xaviera A.²,Zabala-Blanco David²,Játiva Pablo Palacios³,Datta Jayanta⁴

Affiliation:

1. Ingeniería Civil Informática Universidad Católica del Maule,Linares,Chile

2. Universidad Católica del Maule,Dept. of Computer Sciences and Industries,Talca,Chile

3. Universidad de Chile,Dept. of of Electrical Engineering,Santiago,Chile

4. Indian Institute of Technology,GS Sanyal School of Telecommunications,Kharagpur,India

Funder

CODE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10107825/10107780/10107875.pdf?arnumber=10107875

Reference32 articles.

1. A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise

2. PR-ELM: Parallel regularized extreme learning machine based on cluster

3. Radial-Based Undersampling for imbalanced data classification

4. Extreme learning machine: Algorithm, theory and applications;ding;Artif Intell Rev,2015

5. Outlier-robust extreme learning machine for regression problems

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