Tien Thanh Nguyen

Orcid: 0000-0002-7107-5611

According to our database1, Tien Thanh Nguyen authored at least 52 papers between 2014 and 2023.

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Bibliography

2023
A comparative study of anomaly detection methods for gross error detection problems.
Comput. Chem. Eng., July, 2023

DEFEG: Deep Ensemble with Weighted Feature Generation.
Knowl. Based Syst., 2023

A Weighted Ensemble of Regression Methods for Gross Error Identification Problem.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

2022
Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for Medical Image Segmentation.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Ensemble of deep learning models with surrogate-based optimization for medical image segmentation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Heterogeneous ensemble selection for evolving data streams.
Pattern Recognit., 2021

Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation.
CoRR, 2021

Two layer Ensemble of Deep Learning Models for Medical Image Segmentation.
CoRR, 2021

Weighted ensemble of gross error detection methods based on particle swarm optimization.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Streaming Multi-layer Ensemble Selection using Dynamic Genetic Algorithm.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Weighted Ensemble of Deep Learning Models based on Comprehensive Learning Particle Swarm Optimization for Medical Image Segmentation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

VEGAS: A Variable Length-Based Genetic Algorithm for Ensemble Selection in Deep Ensemble Learning.
Proceedings of the Intelligent Information and Database Systems - 13th Asian Conference, 2021

2020
Ensemble Selection based on Classifier Prediction Confidence.
Pattern Recognit., 2020

Evolving interval-based representation for multiple classifier fusion.
Knowl. Based Syst., 2020

Streaming Active Deep Forest for Evolving Data Stream Classification.
CoRR, 2020

A Homogeneous-Heterogeneous Ensemble of Classifiers.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Toward an Ensemble of Object Detectors.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Multi-layer heterogeneous ensemble with classifier and feature selection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Evolved ensemble of detectors for gross error detection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

WEC: Weighted Ensemble of Text Classifiers.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Confidence in Prediction: An Approach for Dynamic Weighted Ensemble.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020

2019
Aggregation of Classifiers: A Justifiable Information Granularity Approach.
IEEE Trans. Cybern., 2019

Multi-label classification via label correlation and first order feature dependance in a data stream.
Pattern Recognit., 2019

Multi-label classification via incremental clustering on an evolving data stream.
Pattern Recognit., 2019

A lossless online Bayesian classifier.
Inf. Sci., 2019

A weighted multiple classifier framework based on random projection.
Inf. Sci., 2019

Deep Heterogeneous Ensemble.
Aust. J. Intell. Inf. Process. Syst., 2019

Evolving an Optimal Decision Template for Combining Classifiers.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

An Online Variational Inference and Ensemble Based Multi-label Classifier for Data Streams.
Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019

Simultaneous meta-data and meta-classifier selection in multiple classifier system.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Variational inference based bayes online classifiers with concept drift adaptation.
Pattern Recognit., 2018

Heterogeneous classifier ensemble with fuzzy rule-based meta learner.
Inf. Sci., 2018

Combining heterogeneous classifiers via granular prototypes.
Appl. Soft Comput., 2018

High-Level Reliability Evaluation of Reconfiguration-Based Fault Tolerance Techniques.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

Automatic Image Region Annotation by Genetic Algorithm-Based Joint Classifier and Feature Selection in Ensemble System.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

An Ensemble System with Random Projection and Dynamic Ensemble Selection.
Proceedings of the Intelligent Information and Database Systems - 10th Asian Conference, 2018

2017
An ensemble-based online learning algorithm for streaming data.
CoRR, 2017

Learning from Data Stream Based on Random Projection and Hoeffding Tree Classifier.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

A Novel Bayesian Framework for Online Imbalanced Learning.
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Model-driven reliability evaluation for MPSoC design.
Proceedings of the 2017 Conference on Design and Architectures for Signal and Image Processing, 2017

2016
A novel combining classifier method based on Variational Inference.
Pattern Recognit., 2016

A Novel Online Bayes Classifier.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

2014
Synthetic tracking controller for robot manipulator with flexible joints, dynamics of executive motors and affect of disturbance based on radial basic function (RBF) neural network.
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

Application of digital technology in ballistic mortar for determining the power of high explosives.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014

A Hough Transform-Based Biclustering Algorithm for Gene Expression Data.
Proceedings of the Machine Learning and Cybernetics, 2014

Fuzzy If-Then Rules Classifier on Ensemble Data.
Proceedings of the Machine Learning and Cybernetics, 2014

Fusion of Classifiers Based on a Novel 2-Stage Model.
Proceedings of the Machine Learning and Cybernetics, 2014

Combining Classifiers Based on Gaussian Mixture Model Approach to Ensemble Data.
Proceedings of the Machine Learning and Cybernetics, 2014

Optimization of ensemble classifier system based on multiple objectives genetic algorithm.
Proceedings of the 2014 International Conference on Machine Learning and Cybernetics, 2014

Combining Multi Classifiers Based on a Genetic Algorithm - A Gaussian Mixture Model Framework.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

A Novel 2-Stage Combining Classifier Model with Stacking and Genetic Algorithm Based Feature Selection.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014

A novel genetic algorithm approach for simultaneous feature and classifier selection in multi classifier system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014


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