Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems-Reference-Cited by-同舟云学术

Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems

Published:2015-12 Issue: Volume:90 Page:153-164
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Garcia Luís P.F.,Sáez José A.,Luengo Julián,Lorena Ana C.,de Carvalho André C.P.L.F.,Herrera Francisco

Funder

FAPESP

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference52 articles.

1. Class noise vs. attribute noise: a quantitative study;Zhu;Artif. Intell. Rev.,2004

2. Classification in the presence of label noise: a survey;Frenay;IEEE Trans. Neural Netw. Learn. Syst.,2014

3. Data Preprocessing in Data Mining;García,2015

4. Correcting noisy ratings in collaborative recommender systems;Toledo;Knowl.-Based Syst.,2015

5. Identifying mislabeled training data;Brodley;J. Artif. Intell. Res.,1999

Cited by 27 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. A label noise filtering method for regression based on adaptive threshold and noise score;Expert Systems with Applications;2023-10

2. GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation;International Journal of Computer Vision;2023-08-15

3. Toward Facial Expression Recognition in the Wild via Noise-Tolerant Network;IEEE Transactions on Circuits and Systems for Video Technology;2023-05

4. OVASO : Integrated binary CNN models to classify COVID ‐19, pneumonia and healthy lung in X‐ray images;International Journal of Imaging Systems and Technology;2022-05-09

5. Data Cleansing for Salt Dome Dataset With Noise Robust Network on Segmentation Task;IEEE Geoscience and Remote Sensing Letters;2022