| Forecasting the weather of Nevada: A deep learning approach M Hossain, B Rekabdar, SJ Louis, S Dascalu 2015 international joint conference on neural networks (IJCNN), 1-6, 2015 | 58 | 2015 |
| An unsupervised approach to learning and early detection of spatio-temporal patterns using spiking neural networks B Rekabdar, M Nicolescu, R Kelley, M Nicolescu Journal of Intelligent & Robotic Systems 80 (1), 83-97, 2015 | 20 | 2015 |
| Effects of self-avatar and gaze on avoidance movement behavior C Mousas, A Koilias, D Anastasiou, B Rekabdar, CN Anagnostopoulos 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 726-734, 2019 | 14 | 2019 |
| Generative adversarial network with policy gradient for text summarization B Rekabdar, C Mousas, B Gupta 2019 IEEE 13th international conference on semantic computing (ICSC), 204-207, 2019 | 13 | 2019 |
| Dilated convolutional neural network for predicting driver's activity B Rekabdar, C Mousas 2018 21st International Conference on Intelligent Transportation Systems …, 2018 | 12 | 2018 |
| Using patterns of firing neurons in spiking neural networks for learning and early recognition of spatio-temporal patterns B Rekabdar, M Nicolescu, M Nicolescu, S Louis Neural Computing and Applications 28 (5), 881-897, 2017 | 12 | 2017 |
| A scale and translation invariant approach for early classification of spatio-temporal patterns using spiking neural networks B Rekabdar, M Nicolescu, M Nicolescu, MT Saffar, R Kelley Neural Processing Letters 43 (2), 327-343, 2016 | 10 | 2016 |
| Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks B Rekabdar, M Nicolescu, M Nicolescu, R Kelley 2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015 | 10 | 2015 |
| Artificial neural network ensemble approach for creating a negotiation model with ethical artificial agents B Rekabdar, M Joorabian, B Shadgar International Conference on Artificial Intelligence and Soft Computing, 493-501, 2012 | 10 | 2012 |
| Learning teamwork behaviors approach: learning by observation meets case-based planning B Rekabdar, B Shadgar, A Osareh International Conference on Artificial Intelligence: Methodology, Systems …, 2012 | 9 | 2012 |
| A compact task representation for hierarchical robot control L Fraser, B Rekabdar, M Nicolescu, M Nicolescu, D Feil-Seifer, G Bebis 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids …, 2016 | 8 | 2016 |
| Unsupervised learning of spatio-temporal patterns using spike timing dependent plasticity B Rekabdar, M Nicolescu, R Kelley, M Nicolescu International Conference on Artificial General Intelligence, 254-257, 2014 | 8 | 2014 |
| Real and virtual environment mismatching induces arousal and alters movement behavior C Mousas, D Kao, A Koilias, B Rekabdar 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 626-635, 2020 | 5 | 2020 |
| Passenger anxiety when seated in a virtual reality self-driving car A Koilias, C Mousas, B Rekabdar, CN Anagnostopoulos 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 1024-1025, 2019 | 5 | 2019 |
| A game-theoretic model for analysis and design of self-organization mechanisms in iot V Behzadan, B Rekabdar International Conference on Game Theory for Networks, 74-85, 2017 | 3 | 2017 |
| A biologically inspired approach to learning spatio-temporal patterns B Rekabdar, M Nicolescu, M Nicolescu, R Kelley 2015 Joint IEEE International Conference on Development and Learning and …, 2015 | 3 | 2015 |
| The Effects of Driving Habits on Virtual Reality Car Passenger Anxiety A Koilias, C Mousas, B Rekabdar International Conference on Virtual Reality and Augmented Reality, 263-281, 2019 | 2 | 2019 |
| A real-time spike-timing classifier of spatio-temporal patterns B Rekabdar, L Fraser, M Nicolescu, M Nicolescu Neurocomputing 311, 183-196, 2018 | 2 | 2018 |
| A hierarchical control architecture for robust and adaptive collaborative robot task execution L Fraser, B Rekabdar, M Nicolescu, M Nicolescu, D Feil-Seifer Robotics: Science & Systems: Workshop on Planning for Human-Robot …, 2016 | 2 | 2016 |
| An unsupervised learning approach for classifying sequence data for human robotic interaction using spiking neural network B Rekabdar, M Nicolescu, M Nicolescu Proceedings of the Tenth Annual ACM/IEEE International Conference on Human …, 2015 | 2 | 2015 |
