Filter based backward elimination in wrapper based PSO for feature selection in classification. - Bach Hoai Nguyen; Bing Xue 001; Ivy Liu; Mengjie Zhang 001 (IEEE Congress on Evolutionary Computation, 2014)

PSO and Statistical Clustering for Feature Selection: A New Representation. - Bach Hoai Nguyen; Bing Xue 001; Ivy Liu; Mengjie Zhang 001 (SEAL, 2014)

Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection. - Bach Hoai Nguyen; Bing Xue 001; Ivy Liu; Peter Andreae; Mengjie Zhang 001 (EvoApplications, 2015)

A Subset Similarity Guided Method for Multi-objective Feature Selection. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (ACALCI, 2016)

Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (EvoApplications (1), 2016)

Proceedings in Adaptation, Learning and Optimization. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (IES, 2016)

Mutual information for feature selection: estimation or counting? - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (Evol. Intell., 2016)

New mechanism for archive maintenance in PSO-based multi-objective feature selection. - Bach Hoai Nguyen; Bing Xue 001; Ivy Liu; Peter Andreae; Mengjie Zhang 001 (Soft Comput., 2016)

Particle Swarm Optimisation with genetic operators for feature selection. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae; Mengjie Zhang 001 (CEC, 2017)

Surrogate-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (EvoApplications (1), 2017)

Multiple reference points MOEA/D for feature selection. - Bach Hoai Nguyen; Bing Xue 001; Hisao Ishibuchi; Peter Andreae; Mengjie Zhang 001 (GECCO (Companion), 2017)

A Hybrid GA-GP Method for Feature Reduction in Classification. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (SEAL, 2017)

A particle swarm optimization based feature selection approach to transfer learning in classification. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (GECCO, 2018)

PSO with surrogate models for feature selection: static and dynamic clustering-based methods. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae (Memetic Comput., 2018)

Evolutionary Computation for Feature Selection in Classification. - Bach Hoai Nguyen (2018)

Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms. - Juhini Desai; Bach Hoai Nguyen; Bing Xue 001 (Australasian Conference on Artificial Intelligence, 2019)

Population-based ensemble classifier induction for domain adaptation. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001; Peter Andreae (GECCO, 2019)

Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms. - Juhini Desai; Bach Hoai Nguyen; Bing Xue 001 (SSCI, 2019)

A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (CEC, 2020)

A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection. - Inti Mateus Resende Albuquerque; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (SSCI, 2020)

A survey on swarm intelligence approaches to feature selection in data mining. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (Swarm Evol. Comput., 2020)

Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae; Hisao Ishibuchi; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2020)

Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (CEC, 2021)

Sparsity-based evolutionary multi-objective feature selection for multi-label classification. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2021)

Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (ICDM (Workshops), 2021)

Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (ICDM (Workshops), 2021)

A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae; Mengjie Zhang 001 (IEEE Trans. Cybern., 2021)

A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae; Mengjie Zhang 001 (IEEE Trans. Cybern., 2021)

Operation-based Greedy Algorithm for Discounted Knapsack Problem. - Binh Thanh Dang; Bach Hoai Nguyen; Peter Andreae (AI, 2022)

Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach. - Jesse Wood; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001; Daniel Killeen (AI, 2022)

Particle swarm optimisation for sparsity-based feature selection in multi-label classification. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2022)

Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection. - Yan Lu; Bach Hoai Nguyen; Bing Xue 001 (SSCI, 2022)

iANP-EC: Identifying Anticancer Natural Products Using Ensemble Learning Incorporated with Evolutionary Computation. - Loc Nguyen; Thanh-Hoang Nguyen-Vo; Quang H. Trinh; Bach Hoai Nguyen; Phuong-Uyen Nguyen-Hoang; Ly Le; Binh P. Nguyen (J. Chem. Inf. Model., 2022)

Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (GECCO, 2023)

Improving Inference of Biochemical Composition in Marine Biomass via Genetic Algorithm-Based Feature Selection on Raman Spectroscopic Data. - Kaan Demir; Bach Hoai Nguyen; Jeremy S. Rooney; Bing Xue 001; Mengjie Zhang 001; Kirill Lagutin; Andrew MacKenzie; Keith C. Gordon; Daniel P. Killeen (CEC, 2024)

Evolutionary Label Selection for Multi-label Classification. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (CEC, 2024)

Evolutionary Sparse Coding and Graph Regularisation for Embedded Multi-label Feature Selection. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (GECCO Companion, 2024)

A Consistent Lebesgue Measure for Multi-label Learning. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (CoRR, 2024)

Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection. - Kaan Demir; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (IEEE Comput. Intell. Mag., 2024)

A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

A Survey on Evolutionary Multiobjective Feature Selection in Classification: Approaches, Applications, and Challenges. - Ruwang Jiao; Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2024)

Evolutionary Sparsity Regularisation-Based Feature Selection for Binary Classification. - Bach Hoai Nguyen; Bing Xue 001; Mengjie Zhang 001 (Evol. Comput., 2025)

Evolutionary Instance Selection With Multiple Partial Adaptive Classifiers for Domain Adaptation. - Bach Hoai Nguyen; Bing Xue 001; Peter Andreae; Mengjie Zhang 001 (IEEE Trans. Evol. Comput., 2025)