OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Resampling-based noise correction for crowdsourcing
Wenqiang Xu, Liangxiao Jiang, Chaoqun Li
Journal of Experimental & Theoretical Artificial Intelligence (2020) Vol. 33, Iss. 6, pp. 985-999
Closed Access | Times Cited: 7
Wenqiang Xu, Liangxiao Jiang, Chaoqun Li
Journal of Experimental & Theoretical Artificial Intelligence (2020) Vol. 33, Iss. 6, pp. 985-999
Closed Access | Times Cited: 7
Showing 7 citing articles:
Improving data and model quality in crowdsourcing using co-training-based noise correction
Dong Yu, Liangxiao Jiang, Chaoqun Li
Information Sciences (2021) Vol. 583, pp. 174-188
Closed Access | Times Cited: 43
Dong Yu, Liangxiao Jiang, Chaoqun Li
Information Sciences (2021) Vol. 583, pp. 174-188
Closed Access | Times Cited: 43
Certainty weighted voting-based noise correction for crowdsourcing
Huiru Li, Liangxiao Jiang, Chaoqun Li
Pattern Recognition (2024) Vol. 150, pp. 110325-110325
Closed Access | Times Cited: 4
Huiru Li, Liangxiao Jiang, Chaoqun Li
Pattern Recognition (2024) Vol. 150, pp. 110325-110325
Closed Access | Times Cited: 4
Three-teaching: A three-way decision framework to handle noisy labels
Guoqing Chao, Kaiwen Zhang, Xiru Wang, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111400-111400
Closed Access | Times Cited: 4
Guoqing Chao, Kaiwen Zhang, Xiru Wang, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111400-111400
Closed Access | Times Cited: 4
Label noise correction for crowdsourcing using dynamic resampling
Jing Zhang, Xiaoqian Jiang, Nianshang Tian, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108439-108439
Closed Access | Times Cited: 1
Jing Zhang, Xiaoqian Jiang, Nianshang Tian, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108439-108439
Closed Access | Times Cited: 1
Improving label quality in crowdsourcing using deep co-teaching-based noise correction
Kang Zhu, Siqing Xue, Liangxiao Jiang
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 10, pp. 3641-3654
Closed Access | Times Cited: 4
Kang Zhu, Siqing Xue, Liangxiao Jiang
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 10, pp. 3641-3654
Closed Access | Times Cited: 4
Boosting Crowdsourced Annotation Accuracy: Small Loss Filtering and Augmentation-Driven Training
Yanming Fu, Weigeng Han, Jingsang Yang, et al.
IEEE Access (2024) Vol. 12, pp. 101745-101755
Open Access
Yanming Fu, Weigeng Han, Jingsang Yang, et al.
IEEE Access (2024) Vol. 12, pp. 101745-101755
Open Access
Clustering Based Approach for Ground Truth Inference in Crowdsourced Data
Victor Odumuyiwa, Anurika Umeanozie, Oladipupo Sennaike, et al.
FUOYE Journal of Engineering and Technology (2022) Vol. 7, Iss. 2, pp. 141-147
Open Access | Times Cited: 1
Victor Odumuyiwa, Anurika Umeanozie, Oladipupo Sennaike, et al.
FUOYE Journal of Engineering and Technology (2022) Vol. 7, Iss. 2, pp. 141-147
Open Access | Times Cited: 1
