Banafsheh Rekabdar
According to our database1,
Banafsheh Rekabdar
authored at least 53 papers
between 2012 and 2024.
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Bibliography
2024
Enhanced Deep Reinforcement Learning based Group Recommendation System with Multi-head Attention for Varied Group Sizes.
Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024
Night-to-Day: Unpaired Image-to-Image Translation for Nighttime Pedestrian Detection.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Comput. Graph., October, 2023
Proceedings of the 17th IEEE International Conference on Semantic Computing, 2023
Proceedings of the IEEE International Symposium on Multimedia, 2023
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
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
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021
Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021
Proceedings of the Seventh IEEE International Conference on Multimedia Big Data, 2021
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
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
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
2019
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019
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
Proceedings of the Virtual Reality and Augmented Reality, 2019
2018
Neurocomputing, 2018
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018
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
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016
2015
An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks.
J. Intell. Robotic Syst., 2015
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
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
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
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