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X Demographics
Mendeley readers
| Title |
Integrated Evolutionary Learning: An Artificial Intelligence Approach to Joint Learning of Features and Hyperparameters for Optimized, Explainable Machine Learning
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, April 2022
|
| DOI | 10.3389/frai.2022.832530 |
| Pubmed ID | |
| Authors |
Nina de Lacy, Michael J. Ramshaw, J. Nathan Kutz |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 14% |
| Student > Master | 3 | 8% |
| Lecturer | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Doctoral Student | 1 | 3% |
| Other | 5 | 14% |
| Unknown | 16 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 25% |
| Engineering | 2 | 6% |
| Social Sciences | 2 | 6% |
| Unspecified | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 18 | 50% |