| Akella, A and Singh, AK and Leong, D and Lal, S and Newton, P and Clifton-Bligh, R and Mclachlan, CS and Gustin, SM and Maharaj, S and Lees, T and Cao, Z and Lin, C-T, “Classifying multi-level stress responses from brain cortical EEG in nurses and non-health professionals using machine learning auto encoder”, IEEE Journal of Translational Engineering in Health and Medicine, 9 Article 2200109. ISSN 2168-2372 (2021) [Refereed Article] |
| Data Type | Value |
|---|
| Type of Research | Applied Research |
| Research Division | Information and Computing Sciences |
| Research Group | Artificial intelligence |
| Research Field | Knowledge representation and reasoning |
| Research Objective Division | Information and Communication Services |
| Research Objective Group | Information systems, technologies and services |
| Research Objective Field | Artificial intelligence |
| Visit Item on eCite | http://ecite.utas.edu.au/144667 |
| Digital Object Identifier | doi:10.1109/JTEHM.2021.3077760 |
| Scopus Source URL | View the full record on Scopus |
| Scopus Citing URL | View the list of citing articles on Scopus |
| Web of Science® Source URL | View the full record on Web of Science® |
| Web of Science® Citing URL | View the list of citing articles on Web of Science® |
| Web of Science® Related URL | View the list of related articles on Web of Science® |
| Number of Times Cited | 6 |
| Number of Downloads | 11 |
