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Banafsheh Rekabdar
Banafsheh Rekabdar
Assistant Professor, Portland State University
Verified email at pdx.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
1232015
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
342019
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
272019
Dilated convolutional neural network for predicting driver's activity
B Rekabdar, C Mousas
2018 21st International Conference on Intelligent Transportation Systems …, 2018
262018
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, 83-97, 2015
232015
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
202020
Toward understanding the effects of virtual character appearance on avoidance movement behavior
C Mousas, A Koilias, B Rekabdar, D Kao, D Anastaslou
2021 IEEE Virtual Reality and 3D User Interfaces (VR), 40-49, 2021
192021
Improving the realism of synthetic images through a combination of adversarial and perceptual losses
C Atapattu, B Rekabdar
2019 International Joint Conference on Neural Networks (IJCNN), 1-7, 2019
172019
Efficient Capacity-Constrained Multicast in RC-Based P2P Networks
K Maddali, B Rekabdar, S Kaluvakuri, B Gupta
Proceedings of 32nd International Conference on Computer Applications in …, 2019
152019
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, 881-897, 2017
142017
Question answering over knowledge base using language model embeddings
JS Sharath, R Banafsheh
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
132020
Evaluating virtual reality locomotion interfaces on collision avoidance task with a virtual character
C Mousas, D Kao, A Koilias, B Rekabdar
The Visual Computer 37, 2823-2839, 2021
122021
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
122019
Arabic poem generation with hierarchical recurrent attentional network
S Talafha, B Rekabdar
2019 IEEE 13th International Conference on Semantic Computing (ICSC), 316-323, 2019
122019
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
122016
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, 327-343, 2016
122016
Unsupervised learning of spatio-temporal patterns using spike timing dependent plasticity
B Rekabdar, M Nicolescu, R Kelley, M Nicolescu
Artificial General Intelligence: 7th International Conference, AGI 2014 …, 2014
122014
Artificial neural network ensemble approach for creating a negotiation model with ethical artificial agents
B Rekabdar, M Joorabian, B Shadgar
Artificial Intelligence and Soft Computing: 11th International Conference …, 2012
122012
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
112015
From machine learning to deep learning: A comprehensive study of alcohol and drug use disorder
B Rekabdar, DL Albright, JT McDaniel, S Talafha, H Jeong
Healthcare Analytics 2, 100104, 2022
92022
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Articles 1–20