| Rama Rao, KSVN and Garg, S and Montgomery, J, “Investigation of unsupervised models for biodiversity assessment”, Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, 11-14 December 2018, Wellington, New Zealand, Lecture Notes in Computer Science, 11320, pp. 160-171. ISSN 0302-9743 (2018) [Refereed Conference Paper] |
| Data Type | Value |
|---|
| Type of Research | Strategic Basic Research |
| Research Division | Information and Computing Sciences |
| Research Group | Computer vision and multimedia computation |
| Research Field | Pattern recognition |
| Research Objective Division | Environmental Management |
| Research Objective Group | Terrestrial systems and management |
| Research Objective Field | Terrestrial biodiversity |
| Visit Item on eCite | http://ecite.utas.edu.au/130185 |
| Digital Object Identifier | doi:10.1007/978-3-030-03991-2_17 |
| 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 | 2 |
