Xuan Vinh Nguyen

Orcid: 0000-0002-7275-750X

Affiliations:
  • University of Melbourne, Computing and Information Systems, VIC, Australia (since 2013)
  • Monash University, Clayton, VIC, Australia (2010 - 2013)
  • University of New South Wales, Sydney, NSW, Australia (PhD 2011)


According to our database1, Xuan Vinh Nguyen authored at least 48 papers between 2008 and 2021.

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Bibliography

2021
High Intrinsic Dimensionality Facilitates Adversarial Attack: Theoretical Evidence.
IEEE Trans. Inf. Forensics Secur., 2021

2019
Alternative Blockmodelling.
CoRR, 2019

2018
The randomized information coefficient: assessing dependencies in noisy data.
Mach. Learn., 2018

2017
Extending Information-Theoretic Validity Indices for Fuzzy Clustering.
IEEE Trans. Fuzzy Syst., 2017

Ground truth bias in external cluster validity indices.
Pattern Recognit., 2017

rFILTA: relevant and nonredundant view discovery from collections of clusterings via filtering and ranking.
Knowl. Inf. Syst., 2017

Topology-regularized universal vector autoregression for traffic forecasting in large urban areas.
Expert Syst. Appl., 2017

2016
Can high-order dependencies improve mutual information based feature selection?
Pattern Recognit., 2016

Efficient discovery of contrast subspaces for object explanation and characterization.
Knowl. Inf. Syst., 2016

Adjusting for Chance Clustering Comparison Measures.
J. Mach. Learn. Res., 2016

Discovering outlying aspects in large datasets.
Data Min. Knowl. Discov., 2016

A Framework to Adjust Dependency Measure Estimates for Chance.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Accelerating Online CP Decompositions for Higher Order Tensors.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Training robust models using Random Projection.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Scalable Outlying-Inlying Aspects Discovery via Feature Ranking.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Traffic forecasting in complex urban networks: Leveraging big data and machine learning.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
FILTA: Better View Discovery from Collections of Clusterings via Filtering.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Structure-Aware Distance Measures for Comparing Clusterings in Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Effective global approaches for mutual information based feature selection.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance.
Proceedings of the 31th International Conference on Machine Learning, 2014

Generalized information theoretic cluster validity indices for soft clusterings.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Reconsidering Mutual Information Based Feature Selection: A Statistical Significance View.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Comments on supervised feature selection by clustering using conditional mutual information-based distances.
Pattern Recognit., 2013

A model of the circadian clock in the cyanobacterium Cyanothece sp. ATCC 51142.
BMC Bioinform., 2013

Incorporating time-delays in S-System model for reverse engineering genetic networks.
BMC Bioinform., 2013

Reverse Engineering Genetic Networks with Time-Delayed S-System Model and Pearson Correlation Coefficient.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

On the Analysis of Time-Delayed Interactions in Genetic Network Using S-System Model.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

mDBN: motif based learning of gene regulatory networks using dynamic bayesian networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Inferring large scale genetic networks with S-system model.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Simultaneous learning of instantaneous and time-delayed genetic interactions using novel information theoretic scoring technique.
BMC Syst. Biol., 2012

Gene regulatory network modeling via global optimization of high-order dynamic Bayesian network.
BMC Bioinform., 2012

Data Discretization for Dynamic Bayesian Network Based Modeling of Genetic Networks.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

FusGP: Bayesian Co-learning of Gene Regulatory Networks and Protein Interaction Networks.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

On the Reconstruction of Genetic Network from Partial Microarray Data.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Local and Global Algorithms for Learning Dynamic Bayesian Networks.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Adaptive regulatory genes cardinality for reconstructing genetic networks.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
GlobalMIT: learning globally optimal dynamic bayesian network with the mutual information test criterion.
Bioinform., 2011

Polynomial Time Algorithm for Learning Globally Optimal Dynamic Bayesian Network.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Dynamic Bayesian Network Modeling of Cyanobacterial Biological Processes via Gene Clustering.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

2010
Information theoretic methods for clustering with applications to microarray data.
PhD thesis, 2010

Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance.
J. Mach. Learn. Res., 2010

A Set Correlation Model for Partitional Clustering.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

minCEntropy: A Novel Information Theoretic Approach for the Generation of Alternative Clusterings.
Proceedings of the ICDM 2010, 2010

2009
Information theoretic measures for clusterings comparison: is a correction for chance necessary?
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

A Novel Approach for Automatic Number of Clusters Detection in Microarray Data Based on Consensus Clustering.
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009

2008
Gene Clustering on the Unit Hypersphere with the Spherical K-Means Algorithm: Coping with Extremely Large Number of Local Optima.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2008

Normalized EM algorithm for tumor clustering using gene expression data.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

An information theoretic divergence for microarray data clustering.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008


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