Manh Truong Dang

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

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

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

Assessing the Clinicians' Pathway to Embed Artificial Intelligence for Assisted Diagnostics of Fracture Detection.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

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

High-Throughput Machine Learning Approaches for Network Attacks Detection on FPGA.
Proceedings of the Context-Aware Systems and Applications, and Nature of Computation and Communication, 2019

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

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


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