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Banafsheh Rekabdar
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Books and Theses
- 2017
- [b1]Banafsheh Rekabdar:
Learning, Recognizing and Early Classification of Spatio-Temporal Patterns using Spike Timing Neural Networks. University of Nevada, Reno, USA, 2017
Journal Articles
- 2023
- [j9]Pedro Acevedo, Banafsheh Rekabdar, Christos Mousas:
Optimizing retroreflective marker set for motion capturing props. Comput. Graph. 115: 181-190 (2023) - 2022
- [j8]Hoda Gholami, Carl K. Chang, Pavan Aduri, Anxiang Ma, Banafsheh Rekabdar:
A data-driven situation-aware framework for predictive analysis in smart environments. J. Intell. Inf. Syst. 59(3): 679-704 (2022) - 2021
- [j7]Sourav Bhadra, Ruopu Li, Di Wu, Guangxing Wang, Banafsheh Rekabdar:
Assessing the impacts of anthropogenic drainage structures on hydrologic connectivity using high-resolution digital elevation models. Trans. GIS 25(5): 2596-2611 (2021) - [j6]Christos Mousas, Dominic Kao, Alexandros Koilias, Banafsheh Rekabdar:
Evaluating virtual reality locomotion interfaces on collision avoidance task with a virtual character. Vis. Comput. 37(9-11): 2823-2839 (2021) - 2018
- [j5]Banafsheh Rekabdar, Luke Fraser, Monica N. Nicolescu, Mircea Nicolescu:
A real-time spike-timing classifier of spatio-temporal patterns. Neurocomputing 311: 183-196 (2018) - 2017
- [j4]Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Sushil J. Louis:
Using patterns of firing neurons in spiking neural networks for learning and early recognition of spatio-temporal patterns. Neural Comput. Appl. 28(5): 881-897 (2017) - 2016
- [j3]Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Mohammad Taghi Saffar, Richard Kelley:
A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks. Neural Process. Lett. 43(2): 327-343 (2016) - 2015
- [j2]Banafsheh Rekabdar, Monica N. Nicolescu, Richard Kelley, Mircea Nicolescu:
An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks. J. Intell. Robotic Syst. 80(Supplement-1): 83-97 (2015) - [j1]Mohammad Taghi Saffar, Mircea Nicolescu, Monica N. Nicolescu, Banafsheh Rekabdar:
Intent Understanding Using an Activation Spreading Architecture. Robotics 4(3): 284-315 (2015)
Conference and Workshop Papers
- 2024
- [c39]Afnan Althoupety, Li-Yun Wang, Wu-Chi Feng, Banafsheh Rekabdar:
DaFF: Dual Attentive Feature Fusion for Multispectral Pedestrian Detection. CVPR Workshops 2024: 2997-3006 - [c38]Afnan Althoupety, Li-Yun Wang, Wu-Chi Feng, Banafsheh Rekabdar:
Night-to-Day: Unpaired Image-to-Image Translation for Nighttime Pedestrian Detection. ECAI 2024: 626-633 - 2023
- [c37]Tuan Tran, Sourav Dutta, Banafsheh Rekabdar, Chinwe Ekenna:
Transformer Based Approach for Sample Generation in Motion Planning. CASE 2023: 1-7 - [c36]Afnan Althoupety, Li-Yun Wang, Wu-Chi Feng, Banafsheh Rekabdar:
Illuminating the Bias in Pedestrian Detection. ISM 2023: 103-107 - [c35]Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, Chinwe Ekenna:
Spiking Convolutional Vision Transformer. ICSC 2023: 225-226 - 2022
- [c34]Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, Chinwe Ekenna:
Biologically Inspired Variational Auto-Encoders for Adversarial Robustness. DBB 2022: 79-93 - 2021
- [c33]Japa Sai Sharath, Banafsheh Rekabdar:
Memory Efficient Knowledge Base Question Answering with Chatbot Framework. BigMM 2021: 33-39 - [c32]Sourav Dutta, Tuan Tran, Banafsheh Rekabdar, Chinwe Ekenna:
Adaptive Speed Collision Avoidance For Dynamic Environments. CASE 2021: 1908-1913 - [c31]Sameerah Talafha, Banafsheh Rekabdar:
Poetry Generation Model via Deep learning incorporating Extended Phonetic and Semantic Embeddings. ICSC 2021: 48-55 - [c30]Japa Sai Sharath, Banafsheh Rekabdar:
Conversational Question Answering Over Knowledge Base using Chat-Bot Framework. ICSC 2021: 84-85 - [c29]Sameerah Talafha, Di Wu, Banafsheh Rekabdar, Ruopu Li, Guangxing Wang:
Classification and Feature Extraction for Hydraulic Structures Data Using Advanced CNN Architectures. TransAI 2021: 137-146 - [c28]Christos Mousas, Alexandros Koilias, Banafsheh Rekabdar, Dominic Kao, Dimitris Anastasiou:
Toward Understanding the Effects of Virtual Character Appearance on Avoidance Movement Behavior. VR 2021: 40-49 - 2020
- [c27]Sourav Dutta, Banafsheh Rekabdar, Chinwe Ekenna:
Uncertainty Measured Markov Decision Process in Dynamic Environments. ICRA 2020: 962-968 - [c26]Japa Sai Sharath, Banafsheh Rekabdar:
Question Answering over Knowledge Base using Language Model Embeddings. IJCNN 2020: 1-8 - [c25]Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, Chinwe Ekenna:
Biologically Inspired Sleep Algorithm for Variational Auto-Encoders. ISVC (1) 2020: 54-67 - [c24]Alexandros Koilias, Christos Mousas, Banafsheh Rekabdar, Christos-Nikolaos Anagnostopoulos:
Passenger Anxiety About Virtual Driver Awareness During a Trip with a Virtual Autonomous Vehicle. ISVC (1) 2020: 654-665 - [c23]Sameerah Talafha, Banafsheh Rekabdar, Chinwe Ekenna, Christos Mousas:
Attentional Adversarial Variational Video Generation via Decomposing Motion and Content. ICSC 2020: 45-52 - [c22]Christos Mousas, Dominic Kao, Alexandros Koilias, Banafsheh Rekabdar:
Real and Virtual Environment Mismatching Induces Arousal and Alters Movement Behavior. VR 2020: 626-635 - 2019
- [c21]Alexandros Koilias, Christos Mousas, Banafsheh Rekabdar:
The Effects of Driving Habits on Virtual Reality Car Passenger Anxiety. EuroVR 2019: 263-281 - [c20]Charith Atapattu, Banafsheh Rekabdar:
Improving the realism of synthetic images through a combination of adversarial and perceptual losses. IJCNN 2019: 1-7 - [c19]Indranil Roy, Koushik Maddali, Swathi Kaluvakuri, Banafsheh Rekabdar, Ziping Liu, Bidyut Gupta, Narayan C. Debnath:
Efficient Any Source Overlay Multicast In CRT-Based P2P Networks - A Capacity-Constrained Approach. INDIN 2019: 1351-1357 - [c18]Banafsheh Rekabdar, Christos Mousas, Bidyut Gupta:
Generative Adversarial Network with Policy Gradient for Text Summarization. ICSC 2019: 204-207 - [c17]Sameerah Talafha, Banafsheh Rekabdar:
Arabic Poem Generation with Hierarchical Recurrent Attentional Network. ICSC 2019: 316-323 - [c16]Christos Mousas, Alexandros Koilias, Dimitris Anastasiou, Banafsheh Rekabdar, Christos-Nikolaos Anagnostopoulos:
Effects of Self-Avatar and Gaze on Avoidance Movement Behavior. VR 2019: 726-734 - [c15]Alexandros Koilias, Christos Mousas, Banafsheh Rekabdar, Christos-Nikolaos Anagnostopoulos:
Passenger Anxiety when Seated in a Virtual Reality Self-Driving Car. VR 2019: 1024-1025 - 2018
- [c14]Banafsheh Rekabdar:
Anticipating Maneuvers with Dilated Convolutions. HRI (Companion) 2018: 213-214 - [c13]Banafsheh Rekabdar, Christos Mousas:
Dilated Convolutional Neural Network for Predicting Driver's Activity. ITSC 2018: 3245-3250 - 2017
- [c12]Vahid Behzadan, Banafsheh Rekabdar:
A Game-Theoretic Model for Analysis and Design of Self-organization Mechanisms in IoT. GAMENETS 2017: 74-85 - 2016
- [c11]Luke Fraser, Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, David Feil-Seifer, George Bebis:
A compact task representation for hierarchical robot control. Humanoids 2016: 697-704 - [c10]Banafsheh Rekabdar:
Are Spiking Neural Networks Useful for Classifying and Early Recognition of Spatio-Temporal Patterns?. IJCAI 2016: 4022-4023 - 2015
- [c9]Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu:
An Unsupervised Learning Approach for Classifying Sequence Data for Human Robotic Interaction Using Spiking Neural Network. HRI (Extended Abstracts) 2015: 213-214 - [c8]Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Richard Kelley:
A biologically inspired approach to learning spatio-temporal patterns. ICDL-EPIROB 2015: 291-297 - [c7]Moinul Hossain, Banafsheh Rekabdar, Sushil J. Louis, Sergiu M. Dascalu:
Forecasting the weather of Nevada: A deep learning approach. IJCNN 2015: 1-6 - [c6]Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Richard Kelley:
Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks. IJCNN 2015: 1-7 - [c5]Mohammad Taghi Saffar, Banafsheh Rekabdar, Sushil J. Louis, Mircea Nicolescu:
Face recognition in unconstrained environments. IJCNN 2015: 1-7 - [c4]Mohammad Taghi Saffar, Mircea Nicolescu, Monica N. Nicolescu, Banafsheh Rekabdar:
Context-based intent understanding using an Activation Spreading architecture. IROS 2015: 3002-3009 - 2014
- [c3]Banafsheh Rekabdar, Monica N. Nicolescu, Richard Kelley, Mircea Nicolescu:
Unsupervised Learning of Spatio-temporal Patterns Using Spike Timing Dependent Plasticity. AGI 2014: 254-257 - 2012
- [c2]Banafsheh Rekabdar, Bita Shadgar, Alireza Osareh:
Learning Teamwork Behaviors Approach: Learning by Observation Meets Case-Based Planning. AIMSA 2012: 195-201 - [c1]Banafsheh Rekabdar, Mahmood Joorabian, Bita Shadgar:
Artificial Neural Network Ensemble Approach for Creating a Negotiation Model with Ethical Artificial Agents. ICAISC (2) 2012: 493-501
Informal and Other Publications
- 2024
- [i6]Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu:
Dynamic and Adaptive Feature Generation with LLM. CoRR abs/2406.03505 (2024) - 2023
- [i5]Yueyue Zhu, Jared Baca, Banafsheh Rekabdar, Reza Rawassizadeh:
A Survey of AI Music Generation Tools and Models. CoRR abs/2308.12982 (2023) - 2020
- [i4]Sourav Dutta, Tuan Tran, Banafsheh Rekabdar, Chinwe Ekenna:
Predictive Probability Path Planning Model For Dynamic Environments. CoRR abs/2007.14603 (2020) - [i3]Japa Sai Sharath, Banafsheh Rekabdar:
Question Answering over Knowledge Base using Language Model Embeddings. CoRR abs/2010.08883 (2020) - 2019
- [i2]Christos Mousas, Alexandros Koilias, Dimitris Anastasiou, Banafsheh Rekabdar, Christos-Nikolaos Anagnostopoulos:
Effects of Self-Avatar and Gaze on Avoidance Movement Behavior. CoRR abs/1903.06657 (2019) - 2017
- [i1]Vahid Behzadan, Banafsheh Rekabdar:
A Game-Theoretic Model for Analysis and Design of Self-Organization Mechanisms in IoT. CoRR abs/1701.04562 (2017)
Coauthor Index
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