Bach Hoai Nguyen

Orcid: 0000-0002-6930-6863

According to our database1, Bach Hoai Nguyen authored at least 37 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection.
IEEE Trans. Evol. Comput., February, 2024

Dual Sparse Structured Subspaces and Graph Regularisation for Particle Swarm Optimisation-Based Multi-Label Feature Selection.
IEEE Comput. Intell. Mag., February, 2024

A Consistent Lebesgue Measure for Multi-label Learning.
CoRR, 2024

2023
Co-operative Co-evolutionary Many-objective Embedded Multi-label Feature Selection with Decomposition-based PSO.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

2022
iANP-EC: Identifying Anticancer Natural Products Using Ensemble Learning Incorporated with Evolutionary Computation.
J. Chem. Inf. Model., 2022

Label Clustering for Particle Swarm Optimisation based Multi-Label Feature Selection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Particle swarm optimisation for sparsity-based feature selection in multi-label classification.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Automated Fish Classification Using Unprocessed Fatty Acid Chromatographic Data: A Machine Learning Approach.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

Operation-based Greedy Algorithm for Discounted Knapsack Problem.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
A Hybrid Evolutionary Computation Approach to Inducing Transfer Classifiers for Domain Adaptation.
IEEE Trans. Cybern., 2021

A New Binary Particle Swarm Optimization Approach: Momentum and Dynamic Balance Between Exploration and Exploitation.
IEEE Trans. Cybern., 2021

Automated and Efficient Sparsity-based Feature Selection via a Dual-component Vector.
Proceedings of the 2021 International Conference on Data Mining, 2021

Multi-objective Feature Selection with a Sparsity-based Objective Function and Gradient Local Search for Multi-label Classification.
Proceedings of the 2021 International Conference on Data Mining, 2021

Sparsity-based evolutionary multi-objective feature selection for multi-label classification.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Multi-objective Multi-label Feature Selection with an Aggregated Performance Metric and Dominance-based Initialisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020
Multiple Reference Points-Based Decomposition for Multiobjective Feature Selection in Classification: Static and Dynamic Mechanisms.
IEEE Trans. Evol. Comput., 2020

A survey on swarm intelligence approaches to feature selection in data mining.
Swarm Evol. Comput., 2020

A Novel Genetic Algorithm Approach to Simultaneous Feature Selection and Instance Selection.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Decomposition based Multi-objective Evolutionary Algorithm with ReliefF based Local Search and Solution Repair Mechanism for Feature Selection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Multi-Label Feature Selection Using Particle Swarm Optimization: Novel Local Search Mechanisms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Population-based ensemble classifier induction for domain adaptation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Multi-label Feature Selection Using Particle Swarm Optimization: Novel Initialization Mechanisms.
Proceedings of the AI 2019: Advances in Artificial Intelligence, 2019

2018
Evolutionary Computation for Feature Selection in Classification.
PhD thesis, 2018

PSO with surrogate models for feature selection: static and dynamic clustering-based methods.
Memetic Comput., 2018

A particle swarm optimization based feature selection approach to transfer learning in classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
A Hybrid GA-GP Method for Feature Reduction in Classification.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Multiple reference points MOEA/D for feature selection.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Surrogate-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification.
Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

Particle Swarm Optimisation with genetic operators for feature selection.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
New mechanism for archive maintenance in PSO-based multi-objective feature selection.
Soft Comput., 2016

Mutual information for feature selection: estimation or counting?
Evol. Intell., 2016

Proceedings in Adaptation, Learning and Optimization.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

Mutual Information Estimation for Filter Based Feature Selection Using Particle Swarm Optimization.
Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

A Subset Similarity Guided Method for Multi-objective Feature Selection.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection.
Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

2014
PSO and Statistical Clustering for Feature Selection: A New Representation.
Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Filter based backward elimination in wrapper based PSO for feature selection in classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014


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