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Mendeley readers
| Chapter title |
Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection?
|
|---|---|
| Chapter number | 15 |
| Book title |
Artificial Intelligence in Education
|
| Published by |
Springer, Cham, June 2018
|
| DOI | 10.1007/978-3-319-93843-1_15 |
| Book ISBNs |
978-3-31-993842-4, 978-3-31-993843-1
|
| Authors |
Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas, Jiang, Yang, Bosch, Nigel, Baker, Ryan S., Paquette, Luc, Ocumpaugh, Jaclyn, Andres, Juliana Ma. Alexandra L., Moore, Allison L., Biswas, Gautam |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 23% |
| Student > Master | 9 | 15% |
| Student > Doctoral Student | 5 | 8% |
| Researcher | 4 | 7% |
| Student > Bachelor | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 16 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 32% |
| Engineering | 5 | 8% |
| Psychology | 3 | 5% |
| Arts and Humanities | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 8 | 13% |
| Unknown | 21 | 35% |