Handling Imbalanced Data for Improved Classification Performance: Methods and Challenges-Reference-Cited by-同舟云学术

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Handling Imbalanced Data for Improved Classification Performance: Methods and Challenges

Published:2023-10-10 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Emerging Smart Technologies and Applications (eSmarTA)
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Author:

Abokadr Somiya¹,Azman Azreen²,Hamdan Hazlina³,Amelina Nurul⁴

Affiliation:

1. University Putra Malaysia,Faculty of Computer Science & Information Technology,Department of Intelligent Systems,Seri Kembangan,Malaysia,43400

2. University Putra Malaysia,Faculty of Computer Science & Information Technology,Seri Kembangan,Malaysia,43400

3. University Putra Malaysia,Faculty of Computer Science and Information Technology,Department of Computer Science

4. University Putra Malaysia,Faculty of Computer Science and Information Technology,Department of Multimedia,Serdang,Selangor Darul Ehsan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10293182/10293222/10293442.pdf?arnumber=10293442

Reference34 articles.

1. Cost-sensitive BERT for generalisable sentence classification with imbalanced data;madabushi;ArXiv Preprint,2020

2. An Adaptive Multi-Level Quantization-Based Reinforcement Learning Model for Enhancing UAV Landing on Moving Targets

3. A machine learning approach for feature selection traffic classification using security analysis

4. Bangla-BERT: Transformer-Based Efficient Model for Transfer Learning and Language Understanding

Cited by 1 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 Cost-Sensitive Learning Approach with Multi-Class Classification and Undersampling Techniques for Pest Identification in the Coconut Leaf Dataset;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

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