Ensemble methods and semi-supervised learning for information fusion: A review and future research directions-Reference-Cited by-同舟云学术

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Ensemble methods and semi-supervised learning for information fusion: A review and future research directions

Published:2024-07 Issue: Volume:107 Page:102310
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Garrido-Labrador José Luis,Serrano-Mamolar Ana^ORCID,Maudes-Raedo Jesús,Rodríguez Juan J.,García-Osorio César

Funder

Espana Ministerio de Ciencia e Innovacion

Junta de Castilla y Leon Consejeria de Educacion

Junta de Castilla y León

Publisher

Elsevier BV

Reference159 articles.

1. Information fusion for affective computing and sentiment analysis;Hussain;Inf. Fusion,2021

2. A survey on semi-supervised learning;Van Engelen;Mach. Learn.,2020

3. Software survey: VOSviewer, a computer program for bibliometric mapping;Van Eck;Scientometrics,2010

4. A unified approach to mapping and clustering of bibliometric networks;Waltman;J. Informetr.,2010

5. Semi-Supervised Learning,2006

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1. Soft Sensor Development Based on Large-Scale Pseudo Labeling Optimization;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

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