Journal of Shandong University(Engineering Science) ›› 2024, Vol. 54 ›› Issue (3): 36-43.doi: 10.6040/j.issn.1672-3961.0.2023.154

• Machine Learning & Data Mining • Previous Articles     Next Articles

A test-time ensemble method based on class weights and prediction entropy minimization

SONG Hui, ZHANG Yizhe*, ZHANG Gongxuan, MENG Yuan   

  1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China
  • Published:2024-06-28

CLC Number: 

  • TP391
[1] DONG X, YU Z, CAO W, et al. A survey on ensemble learning[J]. Frontiers of Computer Science, 2020, 14: 241-258.
[2] YANG Y, LV H, CHEN N. A survey on ensemble learning under the era of deep learning[J]. Artificial Intelligence Review, 2023, 56(6): 5545-5589.
[3] XIAO Y, WU J, LIN Z, et al. A deep learning-based multi-model ensemble method for cancer prediction[J]. Computer Methods and Programs in Biomedicine, 2018, 153: 1-9.
[4] SHARIFANI K, AMINI M. Machine learning and deep learning: a review of methods and applications[J]. World Information Technology and Engineering Journal, 2023, 10(7): 3897-3904.
[5] XUE D, ZHOU X, LI C, et al. An application of transfer learning and ensemble learning techniques for cervical histopathology image classification[J]. IEEE Access, 2020, 8: 104603-104618.
[6] MIENYE I D, SUN Y. A survey of ensemble learning: concepts, algorithms, applications, and prospects[J]. IEEE Access, 2022, 10: 99129-99149.
[7] ZHANG W, LI H, HAN L, et al. Slope stability prediction using ensemble learning techniques: a case study in Yunyang County, Chongqing, China[J]. Journal of Rock Mechanics and Geotechnical Engineering, 2022, 14(4): 1089-1099.
[8] QUMMAR S, KHAN F G, SHAH S, et al. A deep learning ensemble approach for diabetic retinopathy detection[J]. IEEE Access, 2019, 7: 150530-150539.
[9] KRAWCZYK B, WOZNIAK M. Untrained weighted classifier combination with embedded ensemble pruning[J]. Neurocomputing, 2016, 196: 14-22.
[10] HARANGI B. Skin lesion classification with ensembles of deep convolutional neural networks[J]. Journal of Biomedical Informatics, 2018, 86: 25-32.
[11] PACHECO A G C, TRAPPENBERG T, KROHLING R A. Learning dynamic weights for an ensemble of deep models applied to medical imaging classification[C] //2020 International Joint Conference on Neural Networks(IJCNN). Glasgow, UK: IEEE, 2020: 1-8.
[12] GU R. Multiscale Shannon entropy and its application in the stock market[J]. Physica A: Statistical Mechanics and its Applications, 2017, 484: 215-224.
[13] 姜茸, 廖鸿志, 杨明. 信息熵在软件领域中的应用研究现状[J]. 自动化技术与应用, 2015(4): 1-6. JIANG Rong, LIAO Hongzhi, YANG Ming. The current research of information entropy in software domain[J]. Techniques of Automation and Applications, 2015(4): 1-6.
[14] ZHOU X, WANG X, HU C, et al. An analysis on the relationship between uncertainty and misclassification rate of classifiers[J]. Information Sciences, 2020, 535: 16-27.
[15] WANG D, SHELHAMER E, LIU S, et al. Fully test-time adaptation by entropy minimization[EB/OL].(2020-06-18)[2023-10-16]. https://arxiv.org/abs/2006.10726.
[16] HE K, ZHANG X, REN S, et al. Deep residual learning for image recognition[C] //Proceedings of the IEEE conference on computer vision and pattern recognition. Las Vegas, NV, USA: IEEE, 2016: 770-778.
[17] HUANG B, LIU J, ZHANG Q, et al. Identification and classification of aluminum scrap grades based on the Resnet18 model[J]. Applied Sciences, 2022, 12(21): 11133.
[18] LI B, LIMA D. Facial expression recognition via ResNet-50[J]. International Journal of Cognitive Computing in Engineering, 2021, 2: 57-64.
[19] HARJOSEPUTRO Y, YUDA I, DANUKUSUMO K P. MobileNets: efficient convolutional neural network for identification of protected birds[J]. IJASEIT(International Journal on Advanced Science, Engineering and Information Technology), 2020, 10(6): 2290-2296.
[20] REZAEE K, MOUSAVIRAD S J, KHOSRAVI M R, et al. An autonomous UAV-assisted distance-aware crowd sensing platform using deep ShuffleNet transfer learning[J]. IEEE Transactions on Intelligent Transportation Systems, 2021, 23(7): 9404-9413.
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