Bach Hoai Nguyen

45 papers A 3B 8C 1Misc 2Journal 14Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	A Consistent Lebesgue Measure for Multi-label Learning. PRICAI Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2025	—	`conf`	Differential Evolutionary for Label Ordering in Multi-label Classification. ADMA (4) Bach Hoai Nguyen, Binh P. Nguyen, Vinh Truong Hoang, Viet-Tuan Le
2025	J	`jnl`	Evolutionary Instance Selection With Multiple Partial Adaptive Classifiers for Domain Adaptation. IEEE Trans. Evol. Comput. Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang
2025	J	`jnl`	Evolutionary Sparsity Regularisation-Based Feature Selection for Binary Classification. Evol. Comput. Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024	J	`jnl`	A Consistent Lebesgue Measure for Multi-label Learning. CoRR Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024	J	`jnl`	A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection. IEEE Trans. Evol. Comput. Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024	J	`jnl`	A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges. IEEE Trans. Evol. Comput. Ruwang Jiao, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024	J	`jnl`	Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection. IEEE Comput. Intell. Mag. Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024	B	`conf`	Evolutionary Label Selection for Multi-label Classification. CEC Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024	—	`conf`	Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. GECCO Companion Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2024	B	`conf`	Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. CEC Kaan Demir, Bach Hoai Nguyen, Jeremy S. Rooney, Bing Xue, Mengjie Zhang, Kirill Lagutin, Andrew Mackenzie, Keith C. Gordon, Daniel P. Killeen
2023	A	`conf`	Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. GECCO Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2022	Misc	`conf`	Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach. AI Jesse Wood, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Daniel Killeen
2022	—	`conf`	Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection. SSCI Yan Lu, Bach Hoai Nguyen, Bing Xue
2022	Misc	`conf`	Operation-based Greedy Algorithm for Discounted Knapsack Problem. AI Binh Thanh Dang, Bach Hoai Nguyen, Peter Andreae
2022	—	`conf`	Particle swarm optimisation for sparsity-based feature selection in multi-label classification. GECCO Companion Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2022	J	`jnl`	iANP-EC: Identifying Anticancer Natural Products Using Ensemble Learning Incorporated with Evolutionary Computation. J. Chem. Inf. Model. Loc Nguyen, Thanh-Hoang Nguyen-Vo, Quang H. Trinh, Bach Hoai Nguyen, Phuong-Uyen Nguyen-Hoang, Ly Le, Binh P. Nguyen
2021	J	`jnl`	A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation. IEEE Trans. Cybern. Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang
2021	J	`jnl`	A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation. IEEE Trans. Cybern. Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang
2021	—	`conf`	Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector. ICDM (Workshops) Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2021	—	`conf`	Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification. ICDM (Workshops) Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2021	B	`conf`	Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation. CEC Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2021	—	`conf`	Sparsity-based evolutionary multi-objective feature selection for multi-label classification. GECCO Companion Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2020	B	`conf`	A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection. CEC Kaan Demir, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2020	—	`conf`	A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection. SSCI Inti Mateus Resende Albuquerque, Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2020	J	`jnl`	A survey on swarm intelligence approaches to feature selection in data mining. Swarm Evol. Comput. Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2020	J	`jnl`	Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms. IEEE Trans. Evol. Comput. Bach Hoai Nguyen, Bing Xue, Peter Andreae, Hisao Ishibuchi, Mengjie Zhang
2019	—	`conf`	Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms. SSCI Juhini Desai, Bach Hoai Nguyen, Bing Xue
2019	—	`conf`	Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms. Australasian Conference on Artificial Intelligence Juhini Desai, Bach Hoai Nguyen, Bing Xue
2019	A	`conf`	Population-based ensemble classifier induction for domain adaptation. GECCO Bach Hoai Nguyen, Bing Xue, Mengjie Zhang, Peter Andreae
2018	A	`conf`	A particle swarm optimization based feature selection approach to transfer learning in classification. GECCO Bach Hoai Nguyen, Bing Xue, Peter Andreae
2018	—	`—`	Evolutionary Computation for Feature Selection in Classification. Bach Hoai Nguyen
2018	J	`jnl`	PSO with surrogate models for feature selection: static and dynamic clustering-based methods. Memetic Comput. Bach Hoai Nguyen, Bing Xue, Peter Andreae
2017	—	`conf`	A Hybrid GA-GP Method for Feature Reduction in Classification. SEAL Bach Hoai Nguyen, Bing Xue, Peter Andreae
2017	—	`conf`	Multiple reference points MOEA/D for feature selection. GECCO (Companion) Bach Hoai Nguyen, Bing Xue, Hisao Ishibuchi, Peter Andreae, Mengjie Zhang
2017	B	`conf`	Particle Swarm Optimisation with genetic operators for feature selection. CEC Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang
2017	—	`conf`	Surrogate-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification. EvoApplications (1) Bach Hoai Nguyen, Bing Xue, Peter Andreae
2016	—	`conf`	A Subset Similarity Guided Method for Multi-objective Feature Selection. ACALCI Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
2016	—	`conf`	Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization. EvoApplications (1) Bach Hoai Nguyen, Bing Xue, Peter Andreae
2016	J	`jnl`	Mutual information for feature selection: estimation or counting? Evol. Intell. Bach Hoai Nguyen, Bing Xue, Peter Andreae
2016	J	`jnl`	New mechanism for archive maintenance in PSO-based multi-objective feature selection. Soft Comput. Bach Hoai Nguyen, Bing Xue, Ivy Liu, Peter Andreae, Mengjie Zhang
2016	C	`conf`	Proceedings in Adaptation, Learning and Optimization. IES Bach Hoai Nguyen, Bing Xue, Peter Andreae
2015	B	`conf`	Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection. EvoApplications Bach Hoai Nguyen, Bing Xue, Ivy Liu, Peter Andreae, Mengjie Zhang
2014	B	`conf`	Filter based backward elimination in wrapper based PSO for feature selection in classification. IEEE Congress on Evolutionary Computation Bach Hoai Nguyen, Bing Xue, Ivy Liu, Mengjie Zhang
2014	—	`conf`	PSO and Statistical Clustering for Feature Selection: A New Representation. SEAL Bach Hoai Nguyen, Bing Xue, Ivy Liu, Mengjie Zhang