Xuan Vinh Nguyen

ORCID

Publication Activity (10 Years)

Years Active: 2008-2021
Publications (10 Years): 15

Top Venues

University of New South Wales, Sydney, Australia (PHD)

Education History

University of New South Wales, Sydney, Australia

PHD

Publications

Laurent Amsaleg, James Bailey, Amélie Barbe, Sarah M. Erfani, Teddy Furon, Michael E. Houle, Milos Radovanovic, Xuan Vinh Nguyen
High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Oscar Correa, Jeffrey Chan, Xuan Vinh Nguyen
Alternative Blockmodelling. CoRR (2019)
Simone Romano, Xuan Vinh Nguyen, Karin Verspoor, James Bailey
The randomized information coefficient: assessing dependencies in noisy data. Mach. Learn. 107 (3) (2018)
Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey
rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking. Knowl. Inf. Syst. 52 (1) (2017)
Yang Lei, James C. Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey
Ground truth bias in external cluster validity indices. Pattern Recognit. 65 (2017)
Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey
Extending Information-Theoretic Validity Indices for Fuzzy Clustering. IEEE Trans. Fuzzy Syst. 25 (4) (2017)
Florin Schimbinschi, Luís Moreira-Matias, Xuan Vinh Nguyen, James Bailey
Topology-regularized universal vector autoregression for traffic forecasting in large urban areas. Expert Syst. Appl. 82 (2017)
Yang Lei, James C. Bezdek, Simone Romano, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey
Ground Truth Bias in External Cluster Validity Indices. CoRR (2016)
Shuo Zhou, Xuan Vinh Nguyen, James Bailey, Yunzhe Jia, Ian Davidson
Accelerating Online CP Decompositions for Higher Order Tensors. KDD (2016)
Xuan Vinh Nguyen, Sarah M. Erfani, Sakrapee Paisitkriangkrai, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao
Training robust models using Random Projection. ICPR (2016)
Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei
Discovering outlying aspects in large datasets. Data Min. Knowl. Discov. 30 (6) (2016)
Simone Romano, Xuan Vinh Nguyen, James Bailey, Karin Verspoor
A Framework to Adjust Dependency Measure Estimates for Chance. SDM (2016)
Simone Romano, Xuan Vinh Nguyen, James Bailey, Karin Verspoor
Adjusting for Chance Clustering Comparison Measures. J. Mach. Learn. Res. 17 (2016)
Lei Duan, Guanting Tang, Jian Pei, James Bailey, Guozhu Dong, Xuan Vinh Nguyen, Akiko Campbell, Changjie Tang
Efficient discovery of contrast subspaces for object explanation and characterization. Knowl. Inf. Syst. 47 (1) (2016)
Xuan Vinh Nguyen, Shuo Zhou, Jeffrey Chan, James Bailey
Can high-order dependencies improve mutual information based feature selection? Pattern Recognit. 53 (2016)
Xuan Vinh Nguyen, Jeffrey Chan, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking. PAKDD (2) (2015)
Florin Schimbinschi, Xuan Vinh Nguyen, James Bailey, Christopher Leckie, Hai Le Vu, Rao Kotagiri
Traffic forecasting in complex urban networks: Leveraging big data and machine learning. IEEE BigData (2015)
Xuan Vinh Nguyen, Jeffrey Chan, James Bailey
Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View. AAAI (2014)
Simone Romano, James Bailey, Xuan Vinh Nguyen, Karin Verspoor
Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance. ICML (2014)
Yang Lei, Xuan Vinh Nguyen, Jeffrey Chan, James Bailey
FILTA: Better View Discovery from Collections of Clusterings via Filtering. ECML/PKDD (2) (2014)
Xuan Vinh Nguyen, Jeffrey Chan, Simone Romano, James Bailey
Effective global approaches for mutual information based feature selection. KDD (2014)
Yang Lei, James C. Bezdek, Jeffrey Chan, Xuan Vinh Nguyen, Simone Romano, James Bailey
Generalized information theoretic cluster validity indices for soft clusterings. CIDM (2014)
Jeffrey Chan, Xuan Vinh Nguyen, Wei Liu, James Bailey, Christopher Leckie, Kotagiri Ramamohanarao, Jian Pei
Structure-Aware Distance Measures for Comparing Clusterings in Graphs. PAKDD (1) (2014)
Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
Reverse Engineering Genetic Networks with Time-Delayed S-System Model and Pearson Correlation Coefficient. ICONIP (2) (2013)
Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
Inferring large scale genetic networks with S-system model. GECCO (2013)
Nizamul Morshed, Madhu Chetty, Xuan Vinh Nguyen, Terry Caelli
mDBN: motif based learning of gene regulatory networks using dynamic bayesian networks. GECCO (2013)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Sandeep Gaudana, Pramod P. Wangikar
A model of the circadian clock in the cyanobacterium Cyanothece sp. ATCC 51142. BMC Bioinform. 14 (S-2) (2013)
Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
Incorporating time-delays in S-System model for reverse engineering genetic networks. BMC Bioinform. 14 (2013)
Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
On the Analysis of Time-Delayed Interactions in Genetic Network Using S-System Model. ICONIP (2) (2013)
Xuan Vinh Nguyen, James Bailey
Comments on supervised feature selection by clustering using conditional mutual information-based distances. Pattern Recognit. 46 (4) (2013)
Nizamul Morshed, Madhu Chetty, Xuan Vinh Nguyen
Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique. BMC Syst. Biol. 6 (2012)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks. ICONIP (2) (2012)
Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
Adaptive regulatory genes cardinality for reconstructing genetic networks. IEEE Congress on Evolutionary Computation (2012)
Nizamul Morshed, Madhu Chetty, Xuan Vinh Nguyen
FusGP: Bayesian Co-learning of Gene Regulatory Networks and Protein Interaction Networks. ICONIP (5) (2012)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
Local and Global Algorithms for Learning Dynamic Bayesian Networks. ICDM (2012)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
Gene regulatory network modeling via global optimization of high-order dynamic Bayesian network. BMC Bioinform. 13 (2012)
Ahsan Raja Chowdhury, Madhu Chetty, Xuan Vinh Nguyen
On the Reconstruction of Genetic Network from Partial Microarray Data. ICONIP (1) (2012)
Nizamul Morshed, Madhu Chetty, Xuan Vinh Nguyen
Simultaneous Learning of Instantaneous and Time-Delayed Genetic Interactions Using Novel Information Theoretic Scoring Technique. ICONIP (2) (2011)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
GlobalMIT: learning globally optimal dynamic bayesian network with the mutual information test criterion. Bioinform. 27 (19) (2011)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
Polynomial Time Algorithm for Learning Globally Optimal Dynamic Bayesian Network. ICONIP (3) (2011)
Xuan Vinh Nguyen, Madhu Chetty, Ross L. Coppel, Pramod P. Wangikar
Dynamic Bayesian Network Modeling of Cyanobacterial Biological Processes via Gene Clustering. ICONIP (1) (2011)
Xuan Vinh Nguyen, Julien Epps, James Bailey
Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance. J. Mach. Learn. Res. 11 (2010)
Xuan Vinh Nguyen, Julien Epps
minCEntropy: A Novel Information Theoretic Approach for the Generation of Alternative Clusterings. ICDM (2010)
Xuan Vinh Nguyen, Michael E. Houle
A Set Correlation Model for Partitional Clustering. PAKDD (1) (2010)
Xuan Vinh Nguyen, Julien Epps, James Bailey
Information theoretic measures for clusterings comparison: is a correction for chance necessary? ICML (2009)
Xuan Vinh Nguyen, Julien Epps
A Novel Approach for Automatic Number of Clusters Detection in Microarray Data Based on Consensus Clustering. BIBE (2009)
Xuan Vinh Nguyen, Nguyen Minh Phuong
An information theoretic divergence for microarray data clustering. BIBE (2008)
Xuan Vinh Nguyen
Gene Clustering on the Unit Hypersphere with the Spherical K-Means Algorithm: Coping with Extremely Large Number of Local Optima. BIOCOMP (2008)
Nguyen Minh Phuong, Xuan Vinh Nguyen
Normalized EM algorithm for tumor clustering using gene expression data. BIBE (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xuan Vinh Nguyen