892 citations · 2.3k across the 60 of their papers we have counts for
12 papers · 1 filter
Control Matching via Discharge Code Sequences
Dang Nguyen, Wei Luo, Dinh Phung +1
In this paper, we consider the patient similarity matching problem over a cancer cohort of more than 220,000 patients. Our approach first leverages on Word2Vec framework to embed I…
Stabilizing Linear Prediction Models using Autoencoder
Shivapratap Gopakumar, Truyen Tran, Dinh Phung +1
To date, the instability of prognostic predictors in a sparse high dimensional model, which hinders their clinical adoption, has received little attention. Stable prediction is oft…
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.…
Outlier Detection on Mixed-Type Data: An Energy-based Approach
Kien Do, Truyen Tran, Dinh Phung +1
Outlier detection amounts to finding data points that differ significantly from the norm. Classic outlier detection methods are largely designed for single data type such as contin…
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…
Scalable Semi-supervised Learning with Graph-based Kernel Machine
Trung Le, Khanh Nguyen, Van Nguyen +2
Acquiring labels are often costly, whereas unlabeled data are usually easy to obtain in modern machine learning applications. Semi-supervised learning provides a principled machine…