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2020 – today
- 2024
[j1]Amir Samadi, Konstantinos Koufos, Kurt Debattista, Mehrdad Dianati:
SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policies. IEEE Robotics Autom. Lett. 9(11): 9994-10001 (2024)- [i5]Hamed Haghighi, Amir Samadi, Mehrdad Dianati, Valentina Donzella, Kurt Debattista:
Taming Transformers for Realistic Lidar Point Cloud Generation. CoRR abs/2404.05505 (2024) - [i4]Amir Samadi, Konstantinos Koufos, Kurt Debattista, Mehrdad Dianati:
SAFE-RL: Saliency-Aware Counterfactual Explainer for Deep Reinforcement Learning Policies. CoRR abs/2404.18326 (2024) - 2023
- [c3]MReza Alipour Sormoli, Amir Samadi, Sajjad Mozaffari, Konstantinos Koufos, Mehrdad Dianati, Roger Woodman
:
A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field. ITSC 2023: 4003-4010 - [c2]Amir Samadi, Amir Shirian, Konstantinos Koufos, Kurt Debattista, Mehrdad Dianati:
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems. ITSC 2023: 5655-5662 - [i3]Amir Samadi, Konstantinos Koufos, Mehrdad Dianati:
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation. CoRR abs/2305.16532 (2023) - [i2]Amir Samadi, Amir Shirian, Konstantinos Koufos, Kurt Debattista, Mehrdad Dianati:
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems. CoRR abs/2307.15786 (2023) - [i1]MReza Alipour Sormoli, Amir Samadi, Sajjad Mozaffari, Konstantinos Koufos, Mehrdad Dianati, Roger Woodman:
A Novel Deep Neural Network for Trajectory Prediction in Automated Vehicles Using Velocity Vector Field. CoRR abs/2309.10948 (2023)
2010 – 2019
- 2014
- [c1]Ehsan Qasemi, Amir Samadi, Mohammad H. Shadmehr, Bardia Azizian, Sajjad Mozaffari, Amir Shirian, Bijan Alizadeh:
Highly scalable, shared-memory, Monte-Carlo tree search based Blokus Duo Solver on FPGA. FPT 2014: 370-373
Coauthor Index
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