T. Nguyen

发表

Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2014, Journal of Neuroscience Methods.

Deep Reinforcement Learning for Cyber Security pdf

Vijay Janapa Reddi, Thanh Thi Nguyen, V. Reddi, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Optimal Ground Control Points for Geometric Correction Using Genetic Algorithm with Global Accuracy

T. Nguyen, Thanh Nguyen, 2015 .

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

Saeid Nahavandi, Ngoc Duy Nguyen, Thanh Thi Nguyen, 2018, ArXiv.

Portfolio selection under higher moments using fuzzy multi-objective linear programming

Thanh Nguyen, T. Nguyen, 2016, J. Intell. Fuzzy Syst..

Towards designing a generic and comprehensive deep reinforcement learning framework

Ngoc Duy Nguyen, Nhat Truong Pham, Hai V. Nguyen, 2022, Applied Intelligence.

Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions pdf

Thanh Thi Nguyen, T. Nguyen, 2020, ArXiv.

EEG data classification using wavelet features selected by Wilcoxon statistics

S. Nahavandi, A. Khosravi, D. Creighton, 2015, Neural Computing and Applications.

Convolutional Neural Network for Medical Image Classification using Wavelet Features

Saeid Nahavandi, Asef Nazari, Amin Beheshti, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes

Chee Peng Lim, Saeid Nahavandi, Asim Bhatti, 2015, ICONIP.

Modified AHP for Gene Selection and Cancer Classification Using Type-2 Fuzzy Logic

Saeid Nahavandi, Thanh Nguyen, S. Nahavandi, 2016, IEEE Transactions on Fuzzy Systems.

System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey

Saeid Nahavandi, Thanh Nguyen, Ngoc Duy Nguyen, 2017, IEEE Access.

A review on cluster estimation methods and their application to neural spike data

Saeid Nahavandi, Steven B. Cogill, James Zhang, 2018, Journal of neural engineering.

Fuzzy Portfolio Allocation Models Through a New Risk Measure and Fuzzy Sharpe Ratio

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, IEEE Transactions on Fuzzy Systems.

Structural classification of proteins through amino acid sequence using interval type-2 fuzzy logic system

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Neural network and interval type-2 fuzzy system for stock price forecasting

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Hidden Markov models for cancer classification using gene expression profiles

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Inf. Sci..

Medical data classification using interval type-2 fuzzy logic system and wavelets

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Appl. Soft Comput..

Classification of healthcare data using genetic fuzzy logic system and wavelets

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Expert Syst. Appl..

Medical diagnosis by fuzzy standard additive model with wavelets

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery

Saeid Nahavandi, Asim Bhatti, Thanh Nguyen, 2019, 2019 IEEE International Systems Conference (SysCon).

A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting

Saeid Nahavandi, Fernando Bello, Thanh Thi Nguyen, 2019, 2019 IEEE International Conference on Industrial Technology (ICIT).

Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes

Saeid Nahavandi, Abbas Khosravi, Asim Bhatti, 2015, Neurocomputing.

Deep Auto-Encoders With Sequential Learning for Multimodal Dimensional Emotion Recognition pdf

Sridha Sridharan, Clinton Fookes, Duc Thanh Nguyen, 2020, IEEE Transactions on Multimedia.

A novel aggregate gene selection method for microarray data classification

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Pattern Recognit. Lett..

Deep learning for deepfakes creation and detection: A survey

Saeid Nahavandi, Duc Thanh Nguyen, Quoc Viet Hung Nguyen, 2019, Comput. Vis. Image Underst..

Classification of Multi-Class BCI Data by Common Spatial Pattern and Fuzzy System

Chee Peng Lim, Saeid Nahavandi, Imali Hettiarachchi, 2018, IEEE Access.

Hierarchical Gene Selection and Genetic Fuzzy System for Cancer Microarray Data Classification

Saeid Nahavandi, Abbas Khosravi, Douglas Creighton, 2015, PloS one.

Fuzzy system with tabu search learning for classification of motor imagery data

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Biomed. Signal Process. Control..

EEG data classification using wavelet features selected by Wilcoxon statistics

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2014, Neural Computing and Applications.

Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications

Saeid Nahavandi, Thanh Thi Nguyen, Ngoc Duy Nguyen, 2018, IEEE Transactions on Cybernetics.

Mass spectrometry-based proteomic data for cancer diagnosis using interval type-2 fuzzy system

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Classification of neural action potentials using mean shift clustering

Saeid Nahavandi, Abbas Khosravi, Imali Hettiarachchi, 2014, 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Neural signal analysis by landmark-based spectral clustering with estimated number of clusters

Saeid Nahavandi, Abbas Khosravi, Asim Bhatti, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

A novel wrapper-based feature subset selection method using modified binary differential evolution algorithm

Samaneh Mazaheri, Omid Tarkhaneh, Thanh Thi Nguyen, 2021, Inf. Sci..

Multi-Output Interval Type-2 Fuzzy Logic System for Protein Secondary Structure Prediction

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

Deep Learning for Deepfakes Creation and Detection pdf

Saeid Nahavandi, Duc Thanh Nguyen, Thanh Thi Nguyen, 2019, ArXiv.

Seeded transfer learning for regression problems with deep learning

Saeid Nahavandi, Abbas Khosravi, Thanh Nguyen, 2019, Expert Syst. Appl..

A Review of Situation Awareness Assessment Approaches in Aviation Environments

Chee Peng Lim, Saeid Nahavandi, Lee Gordon-Brown, 2018, IEEE Systems Journal.

EEG signal analysis for BCI application using fuzzy system

Saeid Nahavandi, Abbas Khosravi, Imali Hettiarachchi, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

RNA-Seq Count Data Modelling by Grey Relational Analysis and Nonparametric Gaussian Process

Saeid Nahavandi, Asim Bhatti, Samuel Yang, 2016, PloS one.

EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2015, Expert Syst. Appl..

A Multi-Objective Deep Reinforcement Learning Framework

Thanh Thi Nguyen, T. Nguyen, 2018, Eng. Appl. Artif. Intell..

From ranking fuzzy numbers to solving fuzzy linear programming: a comprehensive review

Thanh Nguyen, T. Nguyen, 2014, Int. J. Comput. Sci. Math..

A Soft Computing Fusion for River Flow Time Series Forecasting

Saeid Nahavandi, Thanh Nguyen, Syed Moshfeq Salaken, 2018, 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Prioritized objective actor-critic method for deep reinforcement learning

Saeid Nahavandi, Peter Vamplew, Richard Dazeley, 2021, Neural Computing and Applications.

A fresh look at functional link neural network for motor imagery-based brain–computer interface

Saeid Nahavandi, Toktam Babaei, Thanh Nguyen, 2018, Journal of Neuroscience Methods.

Motor Imagery Data Classification for BCI Application Using Wavelet Packet Feature Extraction

Saeid Nahavandi, Imali Hettiarachchi, Thanh Thi Nguyen, 2014, ICONIP.

Deep Learning Methods for Credit Card Fraud Detection pdf

Hammad Tahir, Ali Babar, Mohamed Abdelrazek, 2020, ArXiv.

Epidemiological dynamics modeling by fusion of soft computing techniques

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Review, Analyze, and Design a Comprehensive Deep Reinforcement Learning Framework pdf

Saeid Nahavandi, Ngoc Duy Nguyen, Hai Nguyen, 2020, ArXiv.

Extreme learning machine based transfer learning algorithms: A survey

Saeid Nahavandi, Abbas Khosravi, Thanh Nguyen, 2017, Neurocomputing.

Multi-agent behavioral control system using deep reinforcement learning

Saeid Nahavandi, Ngoc Duy Nguyen, Thanh Nguyen, 2019, Neurocomputing.

Multi-Agent Deep Reinforcement Learning with Human Strategies

Saeid Nahavandi, Thanh Nguyen, Ngoc Duy Nguyen, 2018, 2019 IEEE International Conference on Industrial Technology (ICIT).

A Hybrid Supervised Approach to Human Population Identification Using Genomics Data

Sahar Araghi, Thanh Thi Nguyen, T. Nguyen, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

RNA-seq data analysis using nonparametric Gaussian process models

Saeid Nahavandi, Abbas Khosravi, Douglas C. Creighton, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Modelling RNA-seq read counts by grey relational analysis

Saeid Nahavandi, Thanh Nguyen, S. Nahavandi, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A Human Mixed Strategy Approach to Deep Reinforcement Learning

Saeid Nahavandi, Thanh Nguyen, Ngoc Duy Nguyen, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

A multi-objective deep reinforcement learning framework

Ngoc Duy Nguyen, P. Vamplew, S. Nahavandi, 2020, Eng. Appl. Artif. Intell..

Output uncertainty score for decision making processes using interval type-2 fuzzy systems

Saeid Nahavandi, Abbas Khosravi, Thanh Nguyen, 2017, Eng. Appl. Artif. Intell..

Multivariate Adaptive Autoregressive Modeling and Kalman Filtering for Motor Imagery BCI

Saeid Nahavandi, Imali Hettiarachchi, Thanh Nguyen, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Medical image analysis using wavelet transform and deep belief networks

Chee Peng Lim, Saeid Nahavandi, Abbas Khosravi, 2017, Expert Syst. Appl..