Banafsheh Rekabdar
Banafsheh Rekabdar
Assistant Professor, Southern Illinois University
Verified email at cs.siu.edu - Homepage
Title
Cited by
Cited by
Year
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
582015
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
202015
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
142019
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
132019
Dilated convolutional neural network for predicting driver's activity
B Rekabdar, C Mousas
2018 21st International Conference on Intelligent Transportation Systems …, 2018
122018
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
122017
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
102016
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
102015
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
102012
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
92012
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
82016
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
82014
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
52020
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
52019
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
32017
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
32015
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
22019
A real-time spike-timing classifier of spatio-temporal patterns
B Rekabdar, L Fraser, M Nicolescu, M Nicolescu
Neurocomputing 311, 183-196, 2018
22018
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
22016
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
22015
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Articles 1–20