Banafsheh Rekabdar

According to our database1, Banafsheh Rekabdar authored at least 48 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Optimizing retroreflective marker set for motion capturing props.
Comput. Graph., October, 2023

A Survey of AI Music Generation Tools and Models.
CoRR, 2023

Spiking Convolutional Vision Transformer.
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023

Transformer Based Approach for Sample Generation in Motion Planning.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
A data-driven situation-aware framework for predictive analysis in smart environments.
J. Intell. Inf. Syst., 2022

Biologically Inspired Variational Auto-Encoders for Adversarial Robustness.
Proceedings of the International Conference on Deep Learning, 2022

2021
Evaluating virtual reality locomotion interfaces on collision avoidance task with a virtual character.
Vis. Comput., 2021

Assessing the impacts of anthropogenic drainage structures on hydrologic connectivity using high-resolution digital elevation models.
Trans. GIS, 2021

Toward Understanding the Effects of Virtual Character Appearance on Avoidance Movement Behavior.
Proceedings of the IEEE Virtual Reality and 3D User Interfaces, 2021

Classification and Feature Extraction for Hydraulic Structures Data Using Advanced CNN Architectures.
Proceedings of the Third International Conference on Transdisciplinary AI, 2021

Poetry Generation Model via Deep learning incorporating Extended Phonetic and Semantic Embeddings.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

Conversational Question Answering Over Knowledge Base using Chat-Bot Framework.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

Adaptive Speed Collision Avoidance For Dynamic Environments.
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

Memory Efficient Knowledge Base Question Answering with Chatbot Framework.
Proceedings of the Seventh IEEE International Conference on Multimedia Big Data, 2021

2020
Predictive Probability Path Planning Model For Dynamic Environments.
CoRR, 2020

Real and Virtual Environment Mismatching Induces Arousal and Alters Movement Behavior.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2020

Attentional Adversarial Variational Video Generation via Decomposing Motion and Content.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

Biologically Inspired Sleep Algorithm for Variational Auto-Encoders.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Passenger Anxiety About Virtual Driver Awareness During a Trip with a Virtual Autonomous Vehicle.
Proceedings of the Advances in Visual Computing - 15th International Symposium, 2020

Question Answering over Knowledge Base using Language Model Embeddings.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Uncertainty Measured Markov Decision Process in Dynamic Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Effects of Self-Avatar and Gaze on Avoidance Movement Behavior.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

Passenger Anxiety when Seated in a Virtual Reality Self-Driving Car.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

Arabic Poem Generation with Hierarchical Recurrent Attentional Network.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

Generative Adversarial Network with Policy Gradient for Text Summarization.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

Efficient Any Source Overlay Multicast In CRT-Based P2P Networks - A Capacity-Constrained Approach.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

Improving the realism of synthetic images through a combination of adversarial and perceptual losses.
Proceedings of the International Joint Conference on Neural Networks, 2019

The Effects of Driving Habits on Virtual Reality Car Passenger Anxiety.
Proceedings of the Virtual Reality and Augmented Reality, 2019

2018
A real-time spike-timing classifier of spatio-temporal patterns.
Neurocomputing, 2018

Dilated Convolutional Neural Network for Predicting Driver's Activity.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Anticipating Maneuvers with Dilated Convolutions.
Proceedings of the Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction, 2018

2017
Learning, Recognizing and Early Classification of Spatio-Temporal Patterns using Spike Timing Neural Networks.
PhD thesis, 2017

Using patterns of firing neurons in spiking neural networks for learning and early recognition of spatio-temporal patterns.
Neural Comput. Appl., 2017

A Game-Theoretic Model for Analysis and Design of Self-organization Mechanisms in IoT.
Proceedings of the Game Theory for Networks - 7th International EAI Conference, 2017

2016
A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks.
Neural Process. Lett., 2016

Are Spiking Neural Networks Useful for Classifying and Early Recognition of Spatio-Temporal Patterns?.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A compact task representation for hierarchical robot control.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

2015
Intent Understanding Using an Activation Spreading Architecture.
Robotics, 2015

An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks.
J. Intell. Robotic Syst., 2015

Context-based intent understanding using an Activation Spreading architecture.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Face recognition in unconstrained environments.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Forecasting the weather of Nevada: A deep learning approach.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A biologically inspired approach to learning spatio-temporal patterns.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

An Unsupervised Learning Approach for Classifying Sequence Data for Human Robotic Interaction Using Spiking Neural Network.
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015

2014
Unsupervised Learning of Spatio-temporal Patterns Using Spike Timing Dependent Plasticity.
Proceedings of the Artificial General Intelligence - 7th International Conference, 2014

2012
Artificial Neural Network Ensemble Approach for Creating a Negotiation Model with Ethical Artificial Agents.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Learning Teamwork Behaviors Approach: Learning by Observation Meets Case-Based Planning.
Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2012


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