100 citations · 350 across the 7 of their papers we have counts for
5 papers · 1 filter
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…