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Date: 2017
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1249847
Description: Background and objectives: Highly accurate classification of biomedical images is an essential task in the clinical diagnosis of numerous medical diseases identified from those images. Traditional ima ... More
Reviewed: Reviewed
Date: 2017
Language: eng
Resource Type: Thesis MRes
Identifier: http://hdl.handle.net/1959.14/1267651
Description: Theoretical thesis.
Full Text: Full Text
Date: 2017
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1250765
Description: We present methods of extractive query-oriented single-document summarization using a deep auto-encoder (AE) to compute a feature space from the term-frequency (tf) input. Our experiments explore both ... More
Reviewed: Reviewed
Date: 2016
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1204662
Description: The present study explored the interactive effect of age and gender in predicting surface and deep learning approaches. It also investigated how these variables related to degree satisfaction. Partici ... More
Reviewed: Reviewed
Date: 2015
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/1048336
Description: Background: The UNSW Australia Medicine program explicitly structures peer learning in program wide mixing of students where students from two adjoining cohorts complete the same course together, incl ... More
Full Text: Full Text
Reviewed: Reviewed
Date: 2015
Language: eng
Resource Type: Thesis MRes
Identifier: http://hdl.handle.net/1959.14/1089590
Description: Empirical thesis.
Full Text: Full Text
Date: 2012
Language: eng
Resource Type: journal article
Identifier: http://hdl.handle.net/1959.14/158882
Description: This paper examines a case of accounting education change in the context of increased interest in ethical, social, and environmental accountability, presenting a reflexive case study of a new universi ... More
Reviewed: Reviewed
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