Dang Nguyen, PhD
Dang Nguyen, PhD
Applied Artificial Intelligence Institute (A2I2), Deakin University, Australia
Verified email at deakin.edu.au - Homepage
Title
Cited by
Cited by
Year
Efficient strategies for parallel mining class association rules
D Nguyen, B Vo, B Le
Expert Systems with Applications 41 (10), 4716-4729, 2014
392014
A novel method for constrained class association rule mining
D Nguyen, LTT Nguyen, B Vo, TP Hong
Information Sciences 320, 107-125, 2015
322015
CCAR: An efficient method for mining class association rules with itemset constraints
D Nguyen, B Vo, B Le
Engineering Applications of Artificial Intelligence 37, 115-124, 2015
282015
Efficient mining of class association rules with the itemset constraint
D Nguyen, LTT Nguyen, B Vo, W Pedrycz
Knowledge-Based Systems 103, 73-88, 2016
232016
Learning graph representation via frequent subgraphs
D Nguyen, W Luo, TD Nguyen, S Venkatesh, D Phung
SDM, 306-314, 2018
172018
Mining class-association rules with constraints
D Nguyen, B Vo
Knowledge and Systems Engineering, 307-318, 2014
132014
A parallel algorithm for frequent subgraph mining
B Vo, D Nguyen, TL Nguyen
Advanced Computational Methods for Knowledge Engineering, 163-173, 2015
92015
Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint
D Nguyen, W Luo, TD Nguyen, S Venkatesh, D Phung
European Conference on Machine Learning and Principles and Practice of …, 2018
82018
Trans2vec: learning transaction embedding via items and frequent itemsets
D Nguyen, TD Nguyen, W Luo, S Venkatesh
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 361-372, 2018
82018
Effective Identification of Similar Patients Through Sequential Matching over ICD Code Embedding
D Nguyen, W Luo, S Venkatesh, D Phung
Journal of Medical Systems 42 (5), 94, 2018
72018
A Parallel Strategy for the Logical‐probabilistic Calculus‐based Method to Calculate Two‐terminal Reliability
D Nguyen, B Vo, DL Vu
Quality and Reliability Engineering International 32 (7), 2313–2327, 2016
62016
LTARM: A novel temporal association rule mining method to understand toxicities in a routine cancer treatment
D Nguyen, W Luo, D Phung, S Venkatesh
Knowledge-Based Systems 161, 313-328, 2018
52018
Exceptional contrast set mining: moving beyond the deluge of the obvious
D Nguyen, W Luo, D Phung, S Venkatesh
Australasian Joint Conference on Artificial Intelligence, 455-468, 2016
42016
Understanding toxicities and complications of cancer treatment: A data mining approach
D Nguyen, W Luo, D Phung, S Venkatesh
Australasian Joint Conference on Artificial Intelligence, 431-443, 2015
42015
Control Matching via Discharge Code Sequences
D Nguyen, W Luo, D Phung, S Venkatesh
NIPS 2016 Workshop on Machine Learning for Health, arXiv preprint arXiv:1612 …, 2016
32016
Bayesian Optimization for Categorical and Category-Specific Continuous Inputs.
D Nguyen, S Gupta, S Rana, A Shilton, S Venkatesh
AAAI, 5256-5263, 2020
22020
A novel method for mining class association rules with itemset constraints
D Nguyen, B Vo, B Le
International Conference on Computational Collective Intelligence, 494-503, 2014
22014
Bayesian Optimization with Discrete Variables
P Luong, S Gupta, D Nguyen, S Rana, S Venkatesh
Australasian Joint Conference on Artificial Intelligence, 473-484, 2019
12019
Bayesian Optimization with Missing Inputs
P Luong, D Nguyen, S Gupta, S Rana, S Venkatesh
arXiv preprint arXiv:2006.10948, 2020
2020
DeepCoDA: personalized interpretability for compositional health
TP Quinn, D Nguyen, S Rana, S Gupta, S Venkatesh
arXiv preprint arXiv:2006.01392, 2020
2020
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