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Timeline
Attention over time
Attention Score history
Mendeley demographics
| Title |
An Efficient Deep Residual-Inception Network for Multimedia Classification
|
|---|---|
| Published by |
Institute of Electrical and Electronics Engineers (IEEE), July 2017
|
| DOI | 10.1109/icme.2017.8019447 |
| Authors |
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Mendeley demographics
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Student > Master | 2 | 20% |
| Researcher | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 30% |
| Engineering | 2 | 20% |
| Social Sciences | 1 | 10% |
| Unknown | 4 | 40% |