566 citations
- Curtin UniversityAU8 papers
- National Institute for Materials ScienceJP2 papers
- Ahsanullah University of Science and TechnologyBD1 paper
- Association for Computing MachineryUS1 paper
- Australian National UniversityAU1 paper
- Australian Regenerative Medicine InstituteAU1 paper
- Bond UniversityAU1 paper
- Canberra (United Kingdom)GB1 paper
- Ghent UniversityBE1 paper
- Institute for Complex SystemsIT1 paper
- Instituto de Ciencia de Materiales de MadridES1 paper
- King Abdullah University of Science and TechnologySA1 paper
7 papers · 1 filter
Thurstonian Boltzmann Machines: Learning from Multiple Inequalities
Truyen Tran, Dinh Phung, Svetha Venkatesh
We introduce Thurstonian Boltzmann Machines (TBM), a unified architecture that can naturally incorporate a wide range of data inputs at the same time. Our motivation rests in the T…
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis
Truyen Tran, Dinh Phung, Svetha Venkatesh
Ordinal data is omnipresent in almost all multiuser-generated feedback - questionnaires, preferences etc. This paper investigates modelling of ordinal data with Gaussian restricted…
Learning From Ordered Sets and Applications in Collaborative Ranking
Truyen Tran, Dinh Phung, Svetha Venkatesh
Ranking over sets arise when users choose between groups of items. For example, a group may be of those movies deemed stars to them, or a customized tour package. It turns out,…
A unified framework for thermal face recognition
Reza Shoja Ghiass, Ognjen Arandjelovic, Hakim Bendada +1
The reduction of the cost of infrared (IR) cameras in recent years has made IR imaging a highly viable modality for face recognition in practice. A particularly attractive advantag…
Stabilizing Sparse Cox Model using Clinical Structures in Electronic Medical Records
Shivapratap Gopakumar, Truyen Tran, Dinh Phung +1
Stability in clinical prediction models is crucial for transferability between studies, yet has received little attention. The problem is paramount in high dimensional data which i…
Stabilized Sparse Ordinal Regression for Medical Risk Stratification
Truyen Tran, Dinh Phung, Wei Luo +1
The recent wide adoption of Electronic Medical Records (EMR) presents great opportunities and challenges for data mining. The EMR data is largely temporal, often noisy, irregular a…