1.3k citations · 2.8k across the 15 of their papers we have counts for
15 papers
Deep Learning Methods for Credit Card Fraud Detection
Thanh Thi Nguyen, Hammad Tahir, Mohamed Abdelrazek +1
Credit card frauds are at an ever-increasing rate and have become a major problem in the financial sector. Because of these frauds, card users are hesitant in making purchases and…
Meta Transfer Learning for Emotion Recognition
Dung Nguyen, Sridha Sridharan, Duc Thanh Nguyen +3
Deep learning has been widely adopted in automatic emotion recognition and has lead to significant progress in the field. However, due to insufficient annotated emotion datasets, p…
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition
Dung Nguyen, Duc Thanh Nguyen, Rui Zeng +5
Multimodal dimensional emotion recognition has drawn a great attention from the affective computing community and numerous schemes have been extensively investigated, making a sign…
Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework
Ngoc Duy Nguyen, Thanh Thi Nguyen, Hai Nguyen +2
The integration of deep learning to reinforcement learning (RL) has enabled RL to perform efficiently in high-dimensional environments. Deep RL methods have been applied to solve m…
A Visual Communication Map for Multi-Agent Deep Reinforcement Learning
Ngoc Duy Nguyen, Thanh Thi Nguyen, Doug Creighton +1
Deep reinforcement learning has been applied successfully to solve various real-world problems and the number of its applications in the multi-agent settings has been increasing. M…
Deep Learning for Deepfakes Creation and Detection: A Survey
Thanh Thi Nguyen, Quoc Viet Hung Nguyen, Dung Tien Nguyen +6
Deep learning has been successfully applied to solve various complex problems ranging from big data analytics to computer vision and human-level control. Deep learning advances how…
Deep Reinforcement Learning for Cyber Security
Thanh Thi Nguyen, Vijay Janapa Reddi
The scale of Internet-connected systems has increased considerably, and these systems are being exposed to cyber attacks more than ever. The complexity and dynamics of cyber attack…
Manipulating Soft Tissues by Deep Reinforcement Learning for Autonomous Robotic Surgery
Ngoc Duy Nguyen, Thanh Nguyen, Saeid Nahavandi +2
In robotic surgery, pattern cutting through a deformable material is a challenging research field. The cutting procedure requires a robot to concurrently manipulate a scissor and a…
A New Tensioning Method using Deep Reinforcement Learning for Surgical Pattern Cutting
Thanh Thi Nguyen, Ngoc Duy Nguyen, Fernando Bello +1
Surgeons normally need surgical scissors and tissue grippers to cut through a deformable surgical tissue. The cutting accuracy depends on the skills to manipulate these two tools.…
Deep Reinforcement Learning for Multi-Agent Systems: A Review of Challenges, Solutions and Applications
Thanh Thi Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi
Reinforcement learning (RL) algorithms have been around for decades and employed to solve various sequential decision-making problems. These algorithms however have faced great cha…
Learning to Attend Relevant Regions in Videos from Eye Fixations
Thanh T. Nguyen, Dung Nguyen
Attentively important regions in video frames account for a majority part of the semantics in each frame. This information is helpful in many applications not only for entertainmen…
Multi-Agent Deep Reinforcement Learning with Human Strategies
Thanh Nguyen, Ngoc Duy Nguyen, Saeid Nahavandi
Deep learning has enabled traditional reinforcement learning methods to deal with high-dimensional problems. However, one of the disadvantages of deep reinforcement learning method…
A Human Mixed Strategy Approach to Deep Reinforcement Learning
Ngoc Duy Nguyen, Saeid Nahavandi, Thanh Nguyen
In 2015, Google's DeepMind announced an advancement in creating an autonomous agent based on deep reinforcement learning (DRL) that could beat a professional player in a series of…
A Review of Situation Awareness Assessment Approaches in Aviation Environments
Thanh Nguyen, Chee Peng Lim, Ngoc Duy Nguyen +2
Situation awareness (SA) is an important constituent in human information processing and essential in pilots' decision-making processes. Acquiring and maintaining appropriate level…
A Multi-Objective Deep Reinforcement Learning Framework
Thanh Thi Nguyen, Ngoc Duy Nguyen, Peter Vamplew +3
This paper introduces a new scalable multi-objective deep reinforcement learning (MODRL) framework based on deep Q-networks. We develop a high-performance MODRL framework that supp…