Michelle Ananda-Rajah

Dr

Accepting PhD Students

PhD projects

Evaluation of the impact of artificial intelligence on the outcomes of patients vulnerable to invasive fungal infections

20042020

Research output per year

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Research Output

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Conference Paper
2017

Leveraging linguistic resources for improving neural text classification

Liu, M., Haffari, G., Buntine, W. & Ananda-Rajah, M., 2017, Australasian Language Technology Association Workshop, ALTA 2017: 6–8 December 2017, Brisbane, Australia, Proceedings . Wong, J. S-M. & Haffari, G. (eds.). 2017 ed. Melbourne Victoria Australia: Australian Language Technology Association (ALTA), Vol. 15. p. 34-42 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch

2016

Understanding risk factors of elderly inpatient falls using contextual model

Anantharama, N., Rumantir, G., Jomon, B., Ananda-Rajah, M. & Gilbert, A., 2016, PACIS 2016 Proceedings. Chau, P. Y. K. & Chang, S-I. (eds.). Pacific Asia Conference on Information Systems, 12 p. 21

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File
2012

Biosurveillance for invasive fungal infections via text mining

Martinez, D., Suominen, H., Ananda-Rajah, M. & Cavedon, L., 2012, CLEF 2012 Working Notes: Working Notes for CLEF 2012 Conference. Forner, P., Karlgren, J., Womser-Hacker, C. & Ferro, N. (eds.). Rheinisch-Westfaelische Technische Hochschule Aachen, Vol. 1178. 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearch