Nahavandi, Saeid

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., Ghavamzadeh, M., Fieguth, P., Cao, X., Khosravi, A., Acharya, U. R., et al. (2021) · Information Fusion

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 3,111

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

Nguyen, T. T., Nguyen, N. D., & Nahavandi, S. (2020) · IEEE Transactions on Cybernetics

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 1,306

A Review of Explainable Artificial Intelligence in Healthcare

Sadeghi, Z., Alizadehsani, R., CIFCI, M. A., Kausar, S., Rehman, R., Mahanta, P., Bora, P. K., Almasri, A., Alkhawaldeh, R. S., Hussain, S., et al. (2024) · Computers and Electrical Engineering

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 598

Deep learning for deepfakes creation and detection: A survey

Nguyen, T. T., Nguyen, Q. V. H., Nguyen, D. T., Nguyen, D. T., Huynh-The, T., Nahavandi, S., Nguyen, T. T., Pham, Q.-V., & Nguyen, C. M. (2022) · Computer Vision and Image Understanding

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 464

Deep Learning for Deepfakes Creation and Detection: A Survey

Nguyen, T. T., Nguyen, Q. V. H., Nguyen, D. T., Nguyen, D. T., Huynh-The, T., Nahavandi, S., Nguyen, T. T., Pham, Q.-V., & Nguyen, C. M. (2019) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 464

Wearable sensors: At the frontier of personalised health monitoring, smart prosthetics and assistive technologies

Khoshmanesh, F., Thurgood, P., Pirogova, E., Nahavandi, S., & Baratchi, S. (2021) · Biosensors and Bioelectronics

Advanced Sensor and Energy Harvesting MaterialsNon-Invasive Vital Sign Monitoring

Cited by 204

A multi-objective deep reinforcement learning framework

Nguyen, T. T., Nguyen, N. D., Vamplew, P., Nahavandi, S., Dazeley, R., & Lim, C. P. (2020) · Engineering Applications of Artificial Intelligence

Reinforcement Learning in RoboticsAdvanced Multi-Objective Optimization Algorithms

Cited by 152

Deep learning for deepfakes creation and detection: a survey

Nguyen, T. T., Nguyen, Q. V. H., Nguyen, D. T., Nguyen, D. T., Huynh-The, T., Nahavandi, S., Nguyen, T. T., Pham, Q.-V., & Nguyen, C. M. (2022) · SSRN Electronic Journal

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 112

Automatic inspection of metallic surface defects using genetic algorithms

Zheng, H., Kong, L. X., & Nahavandi, S. (2002) · Journal of Materials Processing Technology

Industrial Vision Systems and Defect DetectionNon-Destructive Testing Techniques

Cited by 112

Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks

Saleh, K., Hossny, M., & Nahavandi, S. (2018) · IEEE Transactions on Intelligent Vehicles

Autonomous Vehicle Technology and SafetyTraffic and Road Safety

Cited by 103

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

Nguyen, N. D., Nguyen, T., & Nahavandi, S. (2017) · IEEE Access

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 100

Optimal uncertainty-guided neural network training

Kabir, H. M. D., Khosravi, A., Kavousi-Fard, A., Nahavandi, S., & Srinivasan, D. (2021) · Applied Soft Computing

Energy Load and Power ForecastingNeural Networks and Applications

Cited by 48

Material Recognition for Automated Progress Monitoring using Deep Learning Methods

Mahami, H., Ghassemi, N., Darbandy, M. T., Shoeibi, A., Hussain, S., Nasirzadeh, F., Alizadehsani, R., Nahavandi, D., Khosravi, A., & Nahavandi, S. (2020) · arXiv

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 25

Haptically-Enabled VR-Based Immersive Fire Fighting Training Simulator

Nahavandi, S., Wei, L., Mullins, J., Fielding, M., Deshpande, S., Watson, M., Korany, S., Nahavandi, D., Hettiarachchi, I., Najdovski, Z., et al. (2019) · Advances in Intelligent Systems and Computing

Simulation and Modeling ApplicationsVirtual Reality Applications and Impacts

Cited by 19