Thanh Nguyen

Orcid: 0000-0001-9709-1663

Affiliations:
  • Deakin University, Waurn Ponds, Victoria, Australia
  • Monash University, Clayton, Victoria, Australia (PhD 2013)


According to our database1, Thanh Nguyen authored at least 78 papers between 2008 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
3D-IncNet: Head and Neck (H&N) Primary Tumors Segmentation and Survival Prediction.
IEEE J. Biomed. Health Informatics, March, 2024

A Deep Convolutional Spiking Neural Network for embedded applications.
Prog. Artif. Intell., March, 2024

SAWIT: A small-sized animal wild image dataset with annotations.
Multim. Tools Appl., March, 2024

Isomorphic Graph Embedding for Progressive Maximal Frequent Subgraph Mining.
ACM Trans. Intell. Syst. Technol., February, 2024

2023
Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition.
Expert Syst. Appl., November, 2023

Deep Reinforcement Learning for Cyber Security.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Meta-transfer learning for emotion recognition.
Neural Comput. Appl., May, 2023

Example-based explanations for streaming fraud detection on graphs.
Inf. Sci., April, 2023

Fruit-CoV: An efficient vision-based framework for speedy detection and diagnosis of SARS-CoV-2 infections through recorded cough sounds.
Expert Syst. Appl., 2023

Artificial intelligence for the metaverse: A survey.
Eng. Appl. Artif. Intell., 2023

Towards designing a generic and comprehensive deep reinforcement learning framework.
Appl. Intell., 2023

Towards designing a generic and comprehensive deep reinforcement learning framework.
Appl. Intell., 2023

2022
RanNet: Learning Residual-Attention Structure in CNNs for Automatic Modulation Classification.
IEEE Wirel. Commun. Lett., 2022

Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition.
IEEE Trans. Multim., 2022

Advancements in Algorithms and Neuromorphic Hardware for Spiking Neural Networks.
Neural Comput., 2022

Epileptic seizure detection in EEG using mutual information-based best individual feature selection.
Expert Syst. Appl., 2022

Deep learning for deepfakes creation and detection: A survey.
Comput. Vis. Image Underst., 2022

2021
A Hybrid Supervised Approach to Human Population Identification Using Genomics Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A Prioritized objective actor-critic method for deep reinforcement learning.
Neural Comput. Appl., 2021

A novel wrapper-based feature subset selection method using modified binary differential evolution algorithm.
Inf. Sci., 2021

Automatic Modulation Classification: A Deep Architecture Survey.
IEEE Access, 2021

2020
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications.
IEEE Trans. Cybern., 2020

A multi-objective deep reinforcement learning framework.
Eng. Appl. Artif. Intell., 2020

Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework.
CoRR, 2020

A Visual Communication Map for Multi-Agent Deep Reinforcement Learning.
CoRR, 2020

Convolutional Neural Network for Medical Image Classification using Wavelet Features.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A Review of Situation Awareness Assessment Approaches in Aviation Environments.
IEEE Syst. J., 2019

Multi-agent behavioral control system using deep reinforcement learning.
Neurocomputing, 2019

Seeded transfer learning for regression problems with deep learning.
Expert Syst. Appl., 2019

Deep Learning for Deepfakes Creation and Detection.
CoRR, 2019

Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery.
Proceedings of the 2019 IEEE International Systems Conference, 2019

A GA-Based Pruning Fully Connected Network for Tuned Connections in Deep Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Multi-Agent Deep Reinforcement Learning with Human Strategies.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

2018
A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval.
Expert Syst. Appl., 2018

Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications.
CoRR, 2018

Classification of Multi-Class BCI Data by Common Spatial Pattern and Fuzzy System.
IEEE Access, 2018

Semi-Supervised Transfer Learning with Genetic Algorithm Tuned Transformation and Novel Label Transfer Mechanism.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Human Mixed Strategy Approach to Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Soft Computing Fusion for River Flow Time Series Forecasting.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017
Extreme learning machine based transfer learning algorithms: A survey.
Neurocomputing, 2017

Medical image analysis using wavelet transform and deep belief networks.
Expert Syst. Appl., 2017

Output uncertainty score for decision making processes using interval type-2 fuzzy systems.
Eng. Appl. Artif. Intell., 2017

System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey.
IEEE Access, 2017

Multiclass EEG data classification using fuzzy systems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Modified AHP for Gene Selection and Cancer Classification Using Type-2 Fuzzy Logic.
IEEE Trans. Fuzzy Syst., 2016

Portfolio selection under higher moments using fuzzy multi-objective linear programming.
J. Intell. Fuzzy Syst., 2016

Modelling RNA-seq read counts by grey relational analysis.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

RNA-seq data analysis using nonparametric Gaussian process models.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Fuzzy Portfolio Allocation Models Through a New Risk Measure and Fuzzy Sharpe Ratio.
IEEE Trans. Fuzzy Syst., 2015

A novel aggregate gene selection method for microarray data classification.
Pattern Recognit. Lett., 2015

EEG data classification using wavelet features selected by Wilcoxon statistics.
Neural Comput. Appl., 2015

Hidden Markov models for cancer classification using gene expression profiles.
Inf. Sci., 2015

Multi-Output Interval Type-2 Fuzzy Logic System for Protein Secondary Structure Prediction.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2015

Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes.
Neurocomputing, 2015

EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems.
Expert Syst. Appl., 2015

Classification of healthcare data using genetic fuzzy logic system and wavelets.
Expert Syst. Appl., 2015

Fuzzy system with tabu search learning for classification of motor imagery data.
Biomed. Signal Process. Control., 2015

Medical data classification using interval type-2 fuzzy logic system and wavelets.
Appl. Soft Comput., 2015

Multivariate Adaptive Autoregressive Modeling and Kalman Filtering for Motor Imagery BCI.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

EEG signal analysis for BCI application using fuzzy system.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Mass spectrometry-based proteomic data for cancer diagnosis using interval type-2 fuzzy system.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2014
From ranking fuzzy numbers to solving fuzzy linear programming: a comprehensive review.
Int. J. Comput. Sci. Math., 2014

Solving fuzzy programming with a consistent fuzzy number ranking.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Classification of neural action potentials using mean shift clustering.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Neural signal analysis by landmark-based spectral clustering with estimated number of clusters.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Motor Imagery Data Classification for BCI Application Using Wavelet Packet Feature Extraction.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Medical diagnosis by fuzzy standard additive model with wavelets.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Structural classification of proteins through amino acid sequence using interval type-2 fuzzy logic system.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
Epidemiological dynamics modeling by fusion of soft computing techniques.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Neural network and interval type-2 fuzzy system for stock price forecasting.
Proceedings of the FUZZ-IEEE 2013, 2013

2012
Constrained Fuzzy Hierarchical Analysis for Portfolio Selection Under Higher Moments.
IEEE Trans. Fuzzy Syst., 2012

2010
Financial Time Series Prediction in Cooperating with Event Knowledge: A Fuzzy Approach.
Proceedings of the Advances in Soft Computing, 2010

Standard Additive Fuzzy System for Stock Price Forecasting.
Proceedings of the Intelligent Information and Database Systems, 2010

2009
GA-SVM Based Framework for Time Series Forecasting.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2008
Enhancing the Performance of the Fuzzy System Approach to Prediction.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

The Optimal Rule Structure for Fuzzy Systems in Function Approximation by Hybrid Approach in Learning Process.
Proceedings of the 2008 International Conferences on Computational Intelligence for Modelling, 2008


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