13 citations · 61 across the 16 of their papers we have counts for
8 papers · 1 filter
Machine Learning Meets Advanced Robotic Manipulation
Saeid Nahavandi, Roohallah Alizadehsani, Darius Nahavandi +3
Automated industries lead to high quality production, lower manufacturing cost and better utilization of human resources. Robotic manipulator arms have major role in the automation…
A Review of Machine Learning-based Security in Cloud Computing
Aptin Babaei, Parham M. Kebria, Mohsen Moradi Dalvand +1
Cloud Computing (CC) is revolutionizing the way IT resources are delivered to users, allowing them to access and manage their systems with increased cost-effectiveness and simplifi…
A Review on Robot Manipulation Methods in Human-Robot Interactions
Haoxu Zhang, Parham M. Kebria, Shady Mohamed +2
Robot manipulation is an important part of human-robot interaction technology. However, traditional pre-programmed methods can only accomplish simple and repetitive tasks. To enabl…
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
Maryam Zare, Parham M. Kebria, Abbas Khosravi +1
In recent years, the development of robotics and artificial intelligence (AI) systems has been nothing short of remarkable. As these systems continue to evolve, they are being util…
Uncertainty Aware Neural Network from Similarity and Sensitivity
H M Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam +8
Researchers have proposed several approaches for neural network (NN) based uncertainty quantification (UQ). However, most of the approaches are developed considering strong assumpt…
Survey on Leveraging Uncertainty Estimation Towards Trustworthy Deep Neural Networks: The Case of Reject Option and Post-training Processing
Mehedi Hasan, Moloud Abdar, Abbas Khosravi +5
Although neural networks (especially deep neural networks) have achieved \textit{better-than-human} performance in many fields, their real-world deployment is still questionable du…
A Brief Review of Explainable Artificial Intelligence in Healthcare
Zahra Sadeghi, Roohallah Alizadehsani, Mehmet Akif Cifci +13
XAI refers to the techniques and methods for building AI applications which assist end users to interpret output and predictions of AI models. Black box AI applications in high-sta…
A Deep Reinforcement Learning Based Motion Cueing Algorithm for Vehicle Driving Simulation
Hendrik Scheidel, Houshyar Asadi, Tobias Bellmann +3
Motion cueing algorithms (MCA) are used to control the movement of motion simulation platforms (MSP) to reproduce the motion perception of a real vehicle driver as accurately as po…