Multidimensional Learning from Crowds: Usefulness and Application of Expertise Detection-Reference-Cited by-同舟云学术

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Multidimensional Learning from Crowds: Usefulness and Application of Expertise Detection

Published:2015-01-05 Issue:3 Volume:30 Page:326-354
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int. J. Intell. Syst.

Author:

Hernández-González Jerónimo¹,Inza Iñaki¹,Lozano Jose A.¹

Affiliation:

1. Intelligent Systems Group; University of the Basque Country UPV/EHU; P. Manuel de Lardizabal 1, 20018 Donostia Spain

Funder

Ministerio de Educación, Cultura y Deporte

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/int.21702/fullpdf

Reference36 articles.

1. Partially supervised learning for pattern recognition;Schwenker;Pattern Recogn Lett,2014

2. Learning from crowds;Raykar;J Mach Learn Res,2010

3. Multi-dimensional classification with Bayesian networks;Bielza;Int J Approx Reason,2011

4. Using multidimensional Bayesian network classifiers to assist the treatment of multiple sclerosis;Rodríguez;IEEE Trans Syst Man Cybernet C,2012

5. A review on multi-label learning algorithms;Zhang;IEEE Trans Knowl Data Eng,2013

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-dimensional classification: paradigm, algorithms and beyond;Vicinagearth;2024-06-25

2. Machine Learning Based Software Defect Categorization Using Crowd Labeling;Springer Series in Reliability Engineering;2022-09-09

3. Hierarchical feature aggregation network with semantic attention for counting large‐scale crowd;International Journal of Intelligent Systems;2022-08-31

4. Multi-dimensional Bayesian network classifiers: A survey;Artificial Intelligence Review;2020-07-11

5. On the evaluation and selection of classifier learning algorithms with crowdsourced data;Applied Soft Computing;2019-07

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