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| A Study on the Improvement of Image Classification Performance in the Defense Field through Cost-Sensitive Learning of Imbalanced Data |
| Miae Jeong, Jungmok Ma |
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J. KIMS Technol. 2021;24(3):281-292. Published online June 5, 2021 DOI: https://doi.org/10.9766/KIMST.2021.24.3.281 |
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A Study on the Improvement of Image Classification Performance in the Defense Field through Cost-Sensitive Learning of Imbalanced Data Journal of the Korea Institute of Military Science and Technology. 2021;24(3):281-292  Classification of Imbalanced Cloud Image Data Using Deep Neural Networks –Performance Improvement Through a Data Science Competition– . 2021; Research on Cost-sensitive Classification Methods for Imbalanced Data 2021 International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA). 2021; Cost-sensitive learning strategies for high-dimensional and imbalanced data: a comparative study PeerJ Computer Science. 2021;7:e832 Using Cost-Sensitive Learning and Feature Selection Algorithms to Improve the Performance of Imbalanced Classification IEEE Access. 2020;8:69979-69996 Cost-Sensitive Learning Learning from Imbalanced Data Sets. 2018;63-78 Cost-Sensitive Classification Encyclopedia of Machine Learning and Data Mining. 2017;285-285 Classification of imbalanced cloud image data using deep neural networks: performance improvement through a data science competition Progress in Earth and Planetary Science. 2021;8(1): Improved cost-sensitive representation of data for solving the imbalanced big data classification problem Journal of Big Data. 2022;9(1): Multiclass Classification with Imbalanced Datasets for Car Ownership Demand Model – Cost-Sensitive Learning Promet - Traffic&Transportation. 2021;33(3):361-371 |
