88 citations · 118 across the 8 of their papers we have counts for
14 papers
Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
Romero Morais, Vuong Le, Truyen Tran +3
Appearance features have been widely used in video anomaly detection even though they contain complex entangled factors. We propose a new method to model the normal patterns of hum…
Graph Memory Networks for Molecular Activity Prediction
Trang Pham, Truyen Tran, Svetha Venkatesh
Molecular activity prediction is critical in drug design. Machine learning techniques such as kernel methods and random forests have been successful for this task. These models req…
Knowledge Graph Embedding with Multiple Relation Projections
Kien Do, Truyen Tran, Svetha Venkatesh
Knowledge graphs contain rich relational structures of the world, and thus complement data-driven machine learning in heterogeneous data. One of the most effective methods in repre…
Finding Algebraic Structure of Care in Time: A Deep Learning Approach
Phuoc Nguyen, Truyen Tran, Svetha Venkatesh
Understanding the latent processes from Electronic Medical Records could be a game changer in modern healthcare. However, the processes are complex due to the interaction between a…
Nonnegative Restricted Boltzmann Machines for Parts-based Representations Discovery and Predictive Model Stabilization
Tu Dinh Nguyen, Truyen Tran, Dinh Phung +1
The success of any machine learning system depends critically on effective representations of data. In many cases, it is desirable that a representation scheme uncovers the parts-b…
Statistical Latent Space Approach for Mixed Data Modelling and Applications
Tu Dinh Nguyen, Truyen Tran, Dinh Phung +1
The analysis of mixed data has been raising challenges in statistics and machine learning. One of two most prominent challenges is to develop new statistical techniques and methodo…