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Mendeley readers
| Chapter title |
Formal Specification for Deep Neural Networks
|
|---|---|
| Chapter number | 2 |
| Book title |
Automated Technology for Verification and Analysis
|
| Published by |
Springer, Cham, October 2018
|
| DOI | 10.1007/978-3-030-01090-4_2 |
| Book ISBNs |
978-3-03-001089-8, 978-3-03-001090-4
|
| Authors |
Sanjit A. Seshia, Ankush Desai, Tommaso Dreossi, Daniel J. Fremont, Shromona Ghosh, Edward Kim, Sumukh Shivakumar, Marcell Vazquez-Chanlatte, Xiangyu Yue, Seshia, Sanjit A., Desai, Ankush, Dreossi, Tommaso, Fremont, Daniel J., Ghosh, Shromona, Kim, Edward, Shivakumar, Sumukh, Vazquez-Chanlatte, Marcell, Yue, Xiangyu |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 28% |
| Student > Master | 13 | 13% |
| Researcher | 11 | 11% |
| Student > Doctoral Student | 4 | 4% |
| Student > Bachelor | 4 | 4% |
| Other | 16 | 16% |
| Unknown | 24 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 54 | 54% |
| Engineering | 15 | 15% |
| Mathematics | 1 | 1% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
| Chemical Engineering | 1 | 1% |
| Other | 4 | 4% |
| Unknown | 24 | 24% |