Classifier Selection and Ensemble Model for Multi-class Imbalance Learning in Education Grants Prediction

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Most cited references 34

Record: found
Abstract: not found
Article: not found

Greedy function approximation: A gradient boosting machine.

Jerome Friedman (2001)

0 comments Cited 2809 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

Yoav Freund, Robert E. Schapire (1997)

0 comments Cited 1135 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

Learning from class-imbalanced data: Review of methods and applications

Gong Bing, Jennifer Shang, Gu Mingyun … (2017)

0 comments Cited 345 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Yu Sun: (View ORCID Profile)

Journal

Title: Applied Artificial Intelligence

Abbreviated Title: Applied Artificial Intelligence

Publisher: Informa UK Limited

ISSN (Print): 0883-9514

ISSN (Electronic): 1087-6545

Publication date Created: March 21 2021

Publication date (Electronic): February 04 2021

Publication date (Print): March 21 2021

Volume: 35

Issue: 4

Pages: 290-303

Affiliations

[1 ]College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, China

[2 ]School of Safety Science and Engineering, Xi’an University of Science and Technology, Xi’an, China

Article

DOI: 10.1080/08839514.2021.1877481

SO-VID: d48ada0a-4cfe-44ca-9d96-c19a81c79243

History

Data availability:

Comments

Comment on this article

scite_

Smart Citations

Citing PublicationsSupportingMentioningContrasting

View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.