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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
Bayesian optimization for categorical and category-specific continuous inputs
D Nguyen, S Gupta, S Rana, A Shilton, S Venkatesh
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5256-5263, 2020
552020
Learning graph representation via frequent subgraphs
D Nguyen, W Luo, TD Nguyen, S Venkatesh, D Phung
SDM, 306-314, 2018
482018
A novel method for constrained class association rule mining
D Nguyen, LTT Nguyen, B Vo, TP Hong
Information Sciences 320, 107-125, 2015
412015
Efficient strategies for parallel mining class association rules
D Nguyen, B Vo, B Le
Expert Systems with Applications 41 (10), 4716-4729, 2014
402014
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
362016
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
362015
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
342018
Bayesian optimization with discrete variables
P Luong, S Gupta, D Nguyen, S Rana, S Venkatesh
AI 2019: Advances in Artificial Intelligence: 32nd Australasian Joint …, 2019
262019
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
202018
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
192018
Trans2vec: learning transaction embedding via items and frequent itemsets
D Nguyen, TD Nguyen, W Luo, S Venkatesh
Advances in Knowledge Discovery and Data Mining: 22nd Pacific-Asia …, 2018
182018
Momentum adversarial distillation: Handling large distribution shifts in data-free knowledge distillation
K Do, TH Le, D Nguyen, D Nguyen, H Harikumar, T Tran, S Rana, ...
Advances in Neural Information Processing Systems 35, 10055-10067, 2022
172022
Adaptive cost-aware Bayesian optimization
P Luong, D Nguyen, S Gupta, S Rana, S Venkatesh
Knowledge-Based Systems 232, 107481, 2021
162021
Mining class-association rules with constraints
D Nguyen, B Vo
Knowledge and Systems Engineering: Proceedings of the Fifth International …, 2014
162014
Verification of integrity of deployed deep learning models using Bayesian Optimization
DP Kuttichira, S Gupta, D Nguyen, S Rana, S Venkatesh
Knowledge-based systems 241, 108238, 2022
132022
Fairness improvement for black-box classifiers with Gaussian process
D Nguyen, S Gupta, S Rana, A Shilton, S Venkatesh
Information Sciences 576, 542-556, 2021
122021
A parallel algorithm for frequent subgraph mining
B Vo, D Nguyen, TL Nguyen
Advanced Computational Methods for Knowledge Engineering: Proceedings of 3rd …, 2015
122015
Deepcoda: personalized interpretability for compositional health data
T Quinn, D Nguyen, S Rana, S Gupta, S Venkatesh
International Conference on Machine Learning, 7877-7886, 2020
10*2020
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
102016
Exceptional contrast set mining: moving beyond the deluge of the obvious
D Nguyen, W Luo, D Phung, S Venkatesh
AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint …, 2016
92016
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