Self-paced ensemble and big data identification: a classification of substantial imbalance computational analysis-Reference-Cited by-同舟云学术

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Self-paced ensemble and big data identification: a classification of substantial imbalance computational analysis

Published:2023-12-18 Issue: Volume: Page:
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Bano Shahzadi,Zhi Weimei,Qiu Baozhi,Raza Muhammad,Sehito Nabila,Kamal Mian Muhammad,Aldehim Ghadah,Alruwais Nuha

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-023-05828-6.pdf

Reference41 articles.

1. Liu Z, et al (2021) Towards inter-class and intra-class imbalance in class-imbalanced learning. arXiv preprint arXiv:2111.12791, 1–14

2. Ding R, et al (2021) Semi-supervised optimal transport with self-paced ensemble for cross-hospital sepsis early detection. arXiv preprint arXiv:2106.10352, 1–14

3. Ristea N-C, Ionescu RT (2021) Self-paced ensemble learning for speech and audio classification. arXiv preprint arXiv:2103.11988, 1–5

4. Dal Pozzolo A et al (2018) Credit card fraud detection: a realistic modeling and a novel learning strategy. IEEE Trans Neural Netw Learn Syst 29(8):3784–3797

5. Quinlan JR (1986) Induction of decision trees. Mach Learn 1(1):81–106

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