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2020 – today
- 2024
[j11]Kaan Demir
, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection. IEEE Comput. Intell. Mag. 19(1): 36-50 (2024)- [j10]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection. IEEE Trans. Evol. Comput. 28(1): 2-16 (2024) - [j9]Ruwang Jiao, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges. IEEE Trans. Evol. Comput. 28(4): 1156-1176 (2024) - [c28]Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew MacKenzie, Keith C. Gordon, Daniel P. Killeen:
Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. CEC 2024: 1-8 - [c27]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Evolutionary Label Selection for Multi-label Classification. CEC 2024: 1-8 - [c26]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. GECCO Companion 2024: 271-274 - [i1]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Consistent Lebesgue Measure for Multi-label Learning. CoRR abs/2402.00324 (2024) - 2023
- [c25]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. GECCO 2023: 438-446 - 2022
- [j8]Loc Nguyen, Thanh-Hoang Nguyen-Vo, Quang H. Trinh, Bach Hoai Nguyen, Phuong-Uyen Nguyen-Hoang, Ly Le, Binh P. Nguyen:
iANP-EC: Identifying Anticancer Natural Products Using Ensemble Learning Incorporated with Evolutionary Computation. J. Chem. Inf. Model. 62(21): 5080-5089 (2022) - [c24]Jesse Wood, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Daniel Killeen:
Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach. AI 2022: 516-529 - [c23]Binh Thanh Dang, Bach Hoai Nguyen, Peter Andreae:
Operation-based Greedy Algorithm for Discounted Knapsack Problem. AI 2022: 646-660 - [c22]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Particle swarm optimisation for sparsity-based feature selection in multi-label classification. GECCO Companion 2022: 232-235 - [c21]Yan Lu, Bach Hoai Nguyen, Bing Xue:
Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection. SSCI 2022: 1515-1522 - 2021
- [j7]Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang:
A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation. IEEE Trans. Cybern. 51(2): 589-603 (2021) - [j6]Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang:
A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation. IEEE Trans. Cybern. 51(12): 6319-6332 (2021) - [c20]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation. CEC 2021: 760-767 - [c19]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Sparsity-based evolutionary multi-objective feature selection for multi-label classification. GECCO Companion 2021: 147-148 - [c18]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification. ICDM (Workshops) 2021: 823-832 - [c17]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector. ICDM (Workshops) 2021: 833-842 - 2020
- [j5]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A survey on swarm intelligence approaches to feature selection in data mining. Swarm Evol. Comput. 54: 100663 (2020) - [j4]Bach Hoai Nguyen, Bing Xue, Peter Andreae, Hisao Ishibuchi, Mengjie Zhang:
Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms. IEEE Trans. Evol. Comput. 24(1): 170-184 (2020) - [c16]Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection. CEC 2020: 1-8 - [c15]Inti Mateus Resende Albuquerque, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection. SSCI 2020: 616-623
2010 – 2019
- 2019
- [c14]Juhini Desai, Bach Hoai Nguyen, Bing Xue:
Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms. Australasian Conference on Artificial Intelligence 2019: 510-522 - [c13]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Peter Andreae:
Population-based ensemble classifier induction for domain adaptation. GECCO 2019: 437-445 - [c12]Juhini Desai, Bach Hoai Nguyen, Bing Xue:
Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms. SSCI 2019: 1762-1769 - 2018
- [b1]Bach Hoai Nguyen:
Evolutionary Computation for Feature Selection in Classification. Victoria University of Wellington, New Zealand, 2018 - [j3]Bach Hoai Nguyen, Bing Xue, Peter Andreae:
PSO with surrogate models for feature selection: static and dynamic clustering-based methods. Memetic Comput. 10(3): 291-300 (2018) - [c11]Bach Hoai Nguyen, Bing Xue, Peter Andreae:
A particle swarm optimization based feature selection approach to transfer learning in classification. GECCO 2018: 37-44 - 2017
- [c10]Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang:
Particle Swarm Optimisation with genetic operators for feature selection. CEC 2017: 286-293 - [c9]Bach Hoai Nguyen, Bing Xue, Peter Andreae:
Surrogate-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification. EvoApplications (1) 2017: 487-505 - [c8]Bach Hoai Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, Mengjie Zhang:
Multiple reference points MOEA/D for feature selection. GECCO (Companion) 2017: 157-158 - [c7]Bach Hoai Nguyen, Bing Xue, Peter Andreae:
A Hybrid GA-GP Method for Feature Reduction in Classification. SEAL 2017: 591-604 - 2016
- [j2]Bach Hoai Nguyen, Bing Xue, Peter Andreae:
Mutual information for feature selection: estimation or counting? Evol. Intell. 9(3): 95-110 (2016) - [j1]Bach Hoai Nguyen, Bing Xue, Ivy Liu, Peter Andreae, Mengjie Zhang:
New mechanism for archive maintenance in PSO-based multi-objective feature selection. Soft Comput. 20(10): 3927-3946 (2016) - [c6]Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
A Subset Similarity Guided Method for Multi-objective Feature Selection. ACALCI 2016: 298-310 - [c5]Bach Hoai Nguyen, Bing Xue, Peter Andreae:
Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization. EvoApplications (1) 2016: 719-736 - [c4]Bach Hoai Nguyen, Bing Xue, Peter Andreae:
Proceedings in Adaptation, Learning and Optimization. IES 2016: 319-332 - 2015
- [c3]Bach Hoai Nguyen, Bing Xue, Ivy Liu, Peter Andreae, Mengjie Zhang:
Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection. EvoApplications 2015: 541-553 - 2014
- [c2]Bach Hoai Nguyen, Bing Xue, Ivy Liu, Mengjie Zhang:
Filter based backward elimination in wrapper based PSO for feature selection in classification. IEEE Congress on Evolutionary Computation 2014: 3111-3118 - [c1]Bach Hoai Nguyen, Bing Xue, Ivy Liu, Mengjie Zhang:
PSO and Statistical Clustering for Feature Selection: A New Representation. SEAL 2014: 569-581
Coauthor Index
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