S
Svetha Venkatesh
Researcher at Deakin University
Publications - 864
Citations - 20118
Svetha Venkatesh is an academic researcher from Deakin University. The author has contributed to research in topics: Bayesian optimization & Computer science. The author has an hindex of 60, co-authored 828 publications receiving 16441 citations. Previous affiliations of Svetha Venkatesh include Australian National University & National University of Singapore.
Papers
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Journal ArticleDOI
A novel information theoretic approach to wavelet feature selection for texture classification
TL;DR: The proposed EISS algorithm is evaluated on Brodatz texture database and has shown to outperform the most relevant method based on mutual information criterion.
Book ChapterDOI
Dual Control Memory Augmented Neural Networks for Treatment Recommendations
TL;DR: The task is formulated as a sequence-to-sequence prediction model that takes the entire time-ordered medical history as input, and predicts a sequence of future clinical procedures and medications, built on the premise that an effective treatment plan may have long-term dependencies from previous medical history.
Book ChapterDOI
Clustering Patient Medical Records via Sparse Subspace Representation
TL;DR: This paper examines clustering of patient records for chronic diseases to facilitate a better construction of care plans under the framework of subspace clustering and shows that the new formulation is readily solved by extending existing l1-regularized optimization algorithms.
Proceedings Article
Multi-modal abnormality detection in video with unknown data segmentation
TL;DR: This paper first employs the recently proposed infinite HMM and collapsed Gibbs inference to automatically infer data segmentation followed by constructing abnormality detection models which are localized to each segmentation.
Journal ArticleDOI
Association between area-level socioeconomic status, accessibility and diabetes-related hospitalisations: a cross-sectional analysis of data from Western Victoria, Australia.
Muhammad A. Sajjad,Kara L Holloway-Kew,Mohammadreza Mohebbi,Mark A. Kotowicz,Lelia L. F. de Abreu,Patricia M. Livingston,Mustafa Khasraw,Mustafa Khasraw,Sharon Hakkennes,Trisha Dunning,Susan Brumby,Richard S. Page,Alasdair Sutherland,Svetha Venkatesh,Lana J. Williams,Sharon L. Brennan-Olsen,Julie A. Pasco +16 more
TL;DR: Higher LGA-level accessibility and SES were associated with higher rates of type 1 and type 2 diabetes hospitalisation, overall and for each sex, and could indicate self-motivated treatment seeking, and better specialist and hospital services availability in the advantaged and accessible areas in the study region.