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Cited by in F6Publishing
For: de Souza Brito A, Vieira MB, de Andrade MLSC, Feitosa RQ, Giraldi GA. Combining max-pooling and wavelet pooling strategies for semantic image segmentation. Expert Systems with Applications 2021;183:115403. [DOI: 10.1016/j.eswa.2021.115403] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Zafar A, Aamir M, Mohd Nawi N, Arshad A, Riaz S, Alruban A, Dutta AK, Almotairi S. A Comparison of Pooling Methods for Convolutional Neural Networks. Applied Sciences 2022;12:8643. [DOI: 10.3390/app12178643] [Reference Citation Analysis]
2 Aslan SN, Uçar A, Güzeliş C. Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments. J Ambient Intell Human Comput. [DOI: 10.1007/s12652-022-04231-y] [Reference Citation Analysis]
3 Silva AB, Martins AS, Tosta TAA, Neves LA, Servato JPS, de Araújo MS, de Faria PR, do Nascimento MZ. Computational analysis of histological images from hematoxylin and eosin-stained oral epithelial dysplasia tissue sections. Expert Systems with Applications 2022;193:116456. [DOI: 10.1016/j.eswa.2021.116456] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Fortuna-cervantes JM, Ramírez-torres MT, Mejía-carlos M, Murguía JS, Martinez-carranza J, Soubervielle-montalvo C, Guerra-garcía CA. Texture and Materials Image Classification Based on Wavelet Pooling Layer in CNN. Applied Sciences 2022;12:3592. [DOI: 10.3390/app12073592] [Reference Citation Analysis]