100 citations · 350 across the 7 of their papers we have counts for
11 papers
Relational dynamic memory networks
Trang Pham, Truyen Tran, Svetha Venkatesh
Neural networks excel in detecting regular patterns but are less successful in representing and manipulating complex data structures, possibly due to the lack of an external memory…
A deep tree-based model for software defect prediction
Hoa Khanh Dam, Trang Pham, Shien Wee Ng +5
Defects are common in software systems and can potentially cause various problems to software users. Different methods have been developed to quickly predict the most likely locati…
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…
Graph Classification via Deep Learning with Virtual Nodes
Trang Pham, Truyen Tran, Hoa Dam +1
Learning representation for graph classification turns a variable-size graph into a fixed-size vector (or matrix). Such a representation works nicely with algebraic manipulations.…
Automatic feature learning for vulnerability prediction
Hoa Khanh Dam, Truyen Tran, Trang Pham +3
Code flaws or vulnerabilities are prevalent in software systems and can potentially cause a variety of problems including deadlock, information loss, or system failure. A variety o…
One Size Fits Many: Column Bundle for Multi-X Learning
Trang Pham, Truyen Tran, Svetha Venkatesh
Much recent machine learning research has been directed towards leveraging shared statistics among labels, instances and data views, commonly referred to as multi-label, multi-inst…
A deep learning model for estimating story points
Morakot Choetkiertikul, Hoa Khanh Dam, Truyen Tran +3
Although there has been substantial research in software analytics for effort estimation in traditional software projects, little work has been done for estimation in agile project…
Column Networks for Collective Classification
Trang Pham, Truyen Tran, Dinh Phung +1
Relational learning deals with data that are characterized by relational structures. An important task is collective classification, which is to jointly classify networked objects.…
Faster Training of Very Deep Networks Via p-Norm Gates
Trang Pham, Truyen Tran, Dinh Phung +1
A major contributing factor to the recent advances in deep neural networks is structural units that let sensory information and gradients to propagate easily. Gating is one such st…
A deep language model for software code
Hoa Khanh Dam, Truyen Tran, Trang Pham
Existing language models such as n-grams for software code often fail to capture a long context where dependent code elements scatter far apart. In this paper, we propose a novel a…
DeepCare: A Deep Dynamic Memory Model for Predictive Medicine
Trang Pham, Truyen Tran, Dinh Phung +1
Personalized predictive medicine necessitates the modeling of patient illness and care processes, which inherently have long-term temporal dependencies. Healthcare observations, re…