Open Access
Issue
SHS Web Conf.
Volume 144, 2022
2022 International Conference on Science and Technology Ethics and Human Future (STEHF 2022)
Article Number 03017
Number of page(s) 5
Section Application of Artificial Intelligence Technology and Machine Learning Algorithms
DOI https://doi.org/10.1051/shsconf/202214403017
Published online 26 August 2022
  1. Chen Mian Shu, Yu Lu Lu, Su Yue, et al. Multi-label image classification based on convolutional neural networks [J]. Journal of Jilin University (Engineering edition), 2020, 50 (3): 1077-1084. [Google Scholar]
  2. Liu Qiong, Lee Zong Xian, Sun Fuchun, et al. Image recognition and classification based on deep-belief convolutional neural networks [J]. Journal of Tsinghua University (Natural Science Edition), 2018, 58 (9): 781-787. [Google Scholar]
  3. Likhith Prudhivi, M. Narayana, Ch Subrahmanyam, M. Gopi Krishna, Animal species image classification, Materials Today: Proceedings, 2021, ISSN 22147853 [Google Scholar]
  4. Zhang Xiaorui. Multi-label Image Classification and Recognition algorithm based on Convolutional Neural Network [J]. Journal of Tonghua Normal College, 2022, 43(02):75-82. DOI:10.13877/j.cnki.cn22-1284.2022.02.012. [Google Scholar]
  5. Goodfellow, I., Bengio, Y., Courville, A. Deep learning (Vol.1). Cambridge : MIT press, 2016: 326-366. [Google Scholar]
  6. Gu, J., Wang, Z., Kuen, J., Ma, L., Shahroudy, A., Shuai, B., Liu, T., Wang, X., Wang, L., Wang, G. and Cai, J., 2015. Recent advances in convolutional neural networks. arXiv preprint arXiv:1512.07108. [Google Scholar]
  7. Srivastava, N. and Salakhutdinov, R.R., 2013. Discriminative transfer learning with tree-based priors. In Advances in Neural Information Processing Systems (pp. 2094-2102). [Google Scholar]
  8. R. Karthik, R. Menaka, G.S. Kathiresan, M. Anirudh, M. Nagharjun, Gaussian Dropout Based Stacked Ensemble CNN for Classification of Breast Tumor in Ultrasound Images, IRBM, 2021, ISSN 1959-0318. [Google Scholar]
  9. Tahereh Hassanzadeh, Daryl Essam, Ruhul Sarker, EvoDCNN: An Evolutionary Deep Convolutional Neural Network for Image Classification, Neurocomputing, 2022. [Google Scholar]
  10. Naftaly Wambugu, Yiping Chen, Zhenlong Xiao, Kun Tan, Mingqiang Wei, Xiaoxue Liu, Jonathan Li, Hyperspectral image classification on insufficientsample and feature learning using deep neural networks: A review, International Journal of Applied Earth Observation and Geoinformation, Volume 105, 2021, 102603, ISSN 0303-2434. [CrossRef] [Google Scholar]
  11. Additional Code link: https://github.com/qwershiqiqine/Code-of-imageclassification.git [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.