Name
Abstract | ||
|---|---|---|
•As the pornographic sources have been proliferated on the Internet, it is needed to provide a system to detect and filter them accurately.•A new framework has been introduced to make use of the benefits of deep convolutional neural network and ensemble learning.•We show experimentally that the proposed model outperforms the state of the art.•The proposed approach may be used in different applications such as intelligent filtering of unconventional images or medical images analysis. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.compeleceng.2020.106656 | Computers & Electrical Engineering |
Keywords | DocType | Volume |
Intelligent filtering system,Image classification,Deep feature,Deep neural network,Convolutional neural network,Data analytics | Journal | 84 |
ISSN | Citations | PageRank |
0045-7906 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huan Niu | 1 | 0 | 0.34 |
| Wei Xu | 2 | 0 | 0.34 |
| Hamidreza Akbarzadeh | 3 | 0 | 0.34 |
| Hamid Parvin | 4 | 263 | 41.94 |
| Amin Beheshti | 5 | 29 | 13.17 |
| Hamid Alinejad-Rokny | 6 | 69 | 7.17 |