Banafsheh Rekabdar

76 papers A* 7A 2B 6C 2Misc 1Journal 22Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM-Enhanced Reinforcement Learning for Time Series Anomaly Detection. CoRR Bahareh Golchin, Banafsheh Rekabdar, Danielle Justo
2025	—	`conf`	A Time Series Transformer Attention Model for Enhancing Bicyclist Volume Estimation Using Data Fusion and Feature Selection Techniques. ICSC Saba Izadkhah, Banafsheh Rekabdar, Andrew Wagner, Joseph Broach, Sirisha Kothuri
2025	J	`jnl`	Anomaly Detection in Time Series Data Using Reinforcement Learning, Variational Autoencoder, and Active Learning. CoRR Bahareh Golchin, Banafsheh Rekabdar
2025	J	`jnl`	DRTA: Dynamic Reward Scaling for Reinforcement Learning in Time Series Anomaly Detection. CoRR Bahareh Golchin, Banafsheh Rekabdar, Kunpeng Liu
2025	J	`jnl`	Deep learning classification of drainage crossings based on high-resolution DEM-derived geomorphological information. Frontiers Artif. Intell. Michael Edidem, Bill Xu, Ruopu Li, Di Wu, Banafsheh Rekabdar, Guangxing Wang
2025	—	`conf`	Dynamic Reward Scaling for Multivariate Time Series Anomaly Detection: A VAE-Enhanced Reinforcement Learning Approach. CogMI Bahareh Golchin, Banafsheh Rekabdar
2025	J	`jnl`	Dynamic Reward Scaling for Multivariate Time Series Anomaly Detection: A VAE-Enhanced Reinforcement Learning Approach. CoRR Bahareh Golchin, Banafsheh Rekabdar
2025	A*	`conf`	Dynamic and Adaptive Feature Generation with LLM. IJCAI Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu
2025	J	`jnl`	GeoAI-based drainage crossing detection for elevation-derived hydrographic mapping. Environ. Model. Softw. Michael Edidem, Ruopu Li, Di Wu, Banafsheh Rekabdar, Guangxing Wang
2025	—	`conf`	Hierarchical Vector-Quantized Latents for Perceptual Low-Resolution Video Compression. ISVC (2) Manikanta Kotthapalli, Banafsheh Rekabdar
2025	J	`jnl`	Hierarchical Vector-Quantized Latents for Perceptual Low-Resolution Video Compression. CoRR Manikanta Kotthapalli, Banafsheh Rekabdar
2025	—	`conf`	OSA-Diff: An Origin Sampling Based Adversarial Attack Using Diffusion Models. ICSC Shayan Jalalipour, Banafsheh Rekabdar
2025	—	`conf`	Online Decision Mamba. CogMI Trenton W. Ruf, Banafsheh Rekabdar
2025	—	`conf`	Spike Timing Dependent Plasticity Organizes Type Ia Muscle Afferents in a Synthetic Nervous System. Living Machines Mark Pupkiewicz, Manuel Mansilla, Banafsheh Rekabdar, Alex Hunt
2024	—	`conf`	DaFF: Dual Attentive Feature Fusion for Multispectral Pedestrian Detection. CVPR Workshops Afnan Althoupety, Li-Yun Wang, Wu-chi Feng, Banafsheh Rekabdar
2024	J	`jnl`	Dynamic and Adaptive Feature Generation with LLM. CoRR Xinhao Zhang, Jinghan Zhang, Banafsheh Rekabdar, Yuanchun Zhou, Pengfei Wang, Kunpeng Liu
2024	B	`conf`	Enhanced Deep Reinforcement Learning based Group Recommendation System with Multi-head Attention for Varied Group Sizes. ESANN Saba Izadkhah, Banafsheh Rekabdar
2024	—	`conf`	GAN-Based Defense Mechanism Against Word-Level Attacks for Arabic Transformer-Based Model. ICECET Hanin Alshalan, Banafsheh Rekabdar
2024	A	`conf`	Night-to-Day: Unpaired Image-to-Image Translation for Nighttime Pedestrian Detection. ECAI Afnan Althoupety, Li-Yun Wang, Wu-chi Feng, Banafsheh Rekabdar
2023	J	`jnl`	A Survey of AI Music Generation Tools and Models. CoRR Yueyue Zhu, Jared Baca, Banafsheh Rekabdar, Reza Rawassizadeh
2023	—	`conf`	Attacking a Transformer-Based Models for Arabic Language as Low Resources Language (LRL) Using Word-Substitution Methods. TransAI Hanin Alshalan, Banafsheh Rekabdar
2023	—	`conf`	Deep Hierarchical Variational Autoencoders for World Models in Reinforcement Learning. TransAI Sriharshitha Ayyalasomayajula, Banafsheh Rekabdar, Christos Mousas
2023	—	`conf`	Deep Learning-Based Spatial Detection of Drainage Structures using Advanced Object Detection Methods. TransAI Shayan Jalalipour, Sriharshitha Ayyalasomayjula, Hashem Damrah, Junfan Lin, Banafsheh Rekabdar, Ruopu Li
2023	—	`conf`	Deep Reinforcement Learning Based Group Recommendation System with Multi-Head Attention Mechanism. TransAI Saba Izadkhah, Banafsheh Rekabdar
2023	C	`conf`	Illuminating the Bias in Pedestrian Detection. ISM Afnan Althoupety, Li-Yun Wang, Wu-chi Feng, Banafsheh Rekabdar
2023	—	`conf`	Noisy-Defense Variational Auto-Encoder (ND-VAE): An Adversarial Defense Framework to Eliminate Adversarial Attacks. TransAI Shayan Jalalinour, Banafsheh Rekabdar
2023	J	`jnl`	Optimizing retroreflective marker set for motion capturing props. Comput. Graph. Pedro Acevedo, Banafsheh Rekabdar, Christos Mousas
2023	—	`conf`	Spiking Convolutional Vision Transformer. ICSC Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, Chinwe Ekenna
2023	—	`conf`	Transformer Based Approach for Sample Generation in Motion Planning. CASE Tuan Tran, Sourav Dutta, Banafsheh Rekabdar, Chinwe Ekenna
2022	J	`jnl`	A data-driven situation-aware framework for predictive analysis in smart environments. J. Intell. Inf. Syst. Hoda Gholami, Carl K. Chang, Pavan Aduri, Anxiang Ma, Banafsheh Rekabdar
2022	—	`conf`	Biologically Inspired Variational Auto-Encoders for Adversarial Robustness. DBB Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, Chinwe Ekenna
2021	—	`conf`	Adaptive Speed Collision Avoidance For Dynamic Environments. CASE Sourav Dutta, Tuan Tran, Banafsheh Rekabdar, Chinwe Ekenna
2021	J	`jnl`	Assessing the impacts of anthropogenic drainage structures on hydrologic connectivity using high-resolution digital elevation models. Trans. GIS Sourav Bhadra, Ruopu Li, Di Wu, Guangxing Wang, Banafsheh Rekabdar
2021	—	`conf`	Classification and Feature Extraction for Hydraulic Structures Data Using Advanced CNN Architectures. TransAI Sameerah Talafha, Di Wu, Banafsheh Rekabdar, Ruopu Li, Guangxing Wang
2021	—	`conf`	Conversational Question Answering Over Knowledge Base using Chat-Bot Framework. ICSC Japa Sai Sharath, Banafsheh Rekabdar
2021	J	`jnl`	Evaluating virtual reality locomotion interfaces on collision avoidance task with a virtual character. Vis. Comput. Christos Mousas, Dominic Kao, Alexandros Koilias, Banafsheh Rekabdar
2021	—	`conf`	Memory Efficient Knowledge Base Question Answering with Chatbot Framework. BigMM Japa Sai Sharath, Banafsheh Rekabdar
2021	—	`conf`	Poetry Generation Model via Deep learning incorporating Extended Phonetic and Semantic Embeddings. ICSC Sameerah Talafha, Banafsheh Rekabdar
2021	A*	`conf`	Toward Understanding the Effects of Virtual Character Appearance on Avoidance Movement Behavior. VR Christos Mousas, Alexandros Koilias, Banafsheh Rekabdar, Dominic Kao, Dimitris Anastasiou
2020	—	`conf`	Attentional Adversarial Variational Video Generation via Decomposing Motion and Content. ICSC Sameerah Talafha, Banafsheh Rekabdar, Chinwe Ekenna, Christos Mousas
2020	—	`conf`	Biologically Inspired Sleep Algorithm for Variational Auto-Encoders. ISVC (1) Sameerah Talafha, Banafsheh Rekabdar, Christos Mousas, Chinwe Ekenna
2020	—	`conf`	Passenger Anxiety About Virtual Driver Awareness During a Trip with a Virtual Autonomous Vehicle. ISVC (1) Alexandros Koilias, Christos Mousas, Banafsheh Rekabdar, Christos-Nikolaos Anagnostopoulos
2020	J	`jnl`	Predictive Probability Path Planning Model For Dynamic Environments. CoRR Sourav Dutta, Tuan Tran, Banafsheh Rekabdar, Chinwe Ekenna
2020	B	`conf`	Question Answering over Knowledge Base using Language Model Embeddings. IJCNN Japa Sai Sharath, Banafsheh Rekabdar
2020	J	`jnl`	Question Answering over Knowledge Base using Language Model Embeddings. CoRR Japa Sai Sharath, Banafsheh Rekabdar
2020	A*	`conf`	Real and Virtual Environment Mismatching Induces Arousal and Alters Movement Behavior. VR Christos Mousas, Dominic Kao, Alexandros Koilias, Banafsheh Rekabdar
2020	A*	`conf`	Uncertainty Measured Markov Decision Process in Dynamic Environments. ICRA Sourav Dutta, Banafsheh Rekabdar, Chinwe Ekenna
2019	—	`conf`	Arabic Poem Generation with Hierarchical Recurrent Attentional Network. ICSC Sameerah Talafha, Banafsheh Rekabdar
2019	A*	`conf`	Effects of Self-Avatar and Gaze on Avoidance Movement Behavior. VR Christos Mousas, Alexandros Koilias, Dimitris Anastasiou, Banafsheh Rekabdar, Christos-Nikolaos Anagnostopoulos
2019	J	`jnl`	Effects of Self-Avatar and Gaze on Avoidance Movement Behavior. CoRR Christos Mousas, Alexandros Koilias, Dimitris Anastasiou, Banafsheh Rekabdar, Christos-Nikolaos Anagnostopoulos
2019	C	`conf`	Efficient Any Source Overlay Multicast In CRT-Based P2P Networks - A Capacity-Constrained Approach. INDIN Indranil Roy, Koushik Maddali, Swathi Kaluvakuri, Banafsheh Rekabdar, Ziping Liu, Bidyut Gupta, Narayan C. Debnath
2019	—	`conf`	Generative Adversarial Network with Policy Gradient for Text Summarization. ICSC Banafsheh Rekabdar, Christos Mousas, Bidyut Gupta
2019	B	`conf`	Improving the realism of synthetic images through a combination of adversarial and perceptual losses. IJCNN Charith Atapattu, Banafsheh Rekabdar
2019	A*	`conf`	Passenger Anxiety when Seated in a Virtual Reality Self-Driving Car. VR Alexandros Koilias, Christos Mousas, Banafsheh Rekabdar, Christos-Nikolaos Anagnostopoulos
2019	—	`conf`	The Effects of Driving Habits on Virtual Reality Car Passenger Anxiety. EuroVR Alexandros Koilias, Christos Mousas, Banafsheh Rekabdar
2018	J	`jnl`	A real-time spike-timing classifier of spatio-temporal patterns. Neurocomputing Banafsheh Rekabdar, Luke Fraser, Monica N. Nicolescu, Mircea Nicolescu
2018	—	`conf`	Anticipating Maneuvers with Dilated Convolutions. HRI (Companion) Banafsheh Rekabdar
2018	—	`conf`	Dilated Convolutional Neural Network for Predicting Driver's Activity. ITSC Banafsheh Rekabdar, Christos Mousas
2017	J	`jnl`	A Game-Theoretic Model for Analysis and Design of Self-Organization Mechanisms in IoT. CoRR Vahid Behzadan, Banafsheh Rekabdar
2017	—	`conf`	A Game-Theoretic Model for Analysis and Design of Self-organization Mechanisms in IoT. GAMENETS Vahid Behzadan, Banafsheh Rekabdar
2017	—	`—`	Learning, Recognizing and Early Classification of Spatio-Temporal Patterns using Spike Timing Neural Networks. Banafsheh Rekabdar
2017	J	`jnl`	Using patterns of firing neurons in spiking neural networks for learning and early recognition of spatio-temporal patterns. Neural Comput. Appl. Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Sushil J. Louis
2016	J	`jnl`	A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks. Neural Process. Lett. Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Mohammad Taghi Saffar, Richard Kelley
2016	—	`conf`	A compact task representation for hierarchical robot control. Humanoids Luke Fraser, Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, David Feil-Seifer, George Bebis
2016	A*	`conf`	Are Spiking Neural Networks Useful for Classifying and Early Recognition of Spatio-Temporal Patterns?. IJCAI Banafsheh Rekabdar
2015	—	`conf`	A biologically inspired approach to learning spatio-temporal patterns. ICDL-EPIROB Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Richard Kelley
2015	J	`jnl`	An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks. J. Intell. Robotic Syst. Banafsheh Rekabdar, Monica N. Nicolescu, Richard Kelley, Mircea Nicolescu
2015	—	`conf`	An Unsupervised Learning Approach for Classifying Sequence Data for Human Robotic Interaction Using Spiking Neural Network. HRI (Extended Abstracts) Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu
2015	A	`conf`	Context-based intent understanding using an Activation Spreading architecture. IROS Mohammad Taghi Saffar, Mircea Nicolescu, Monica N. Nicolescu, Banafsheh Rekabdar
2015	B	`conf`	Face recognition in unconstrained environments. IJCNN Mohammad Taghi Saffar, Banafsheh Rekabdar, Sushil J. Louis, Mircea Nicolescu
2015	B	`conf`	Forecasting the weather of Nevada: A deep learning approach. IJCNN Moinul Hossain, Banafsheh Rekabdar, Sushil J. Louis, Sergiu M. Dascalu
2015	J	`jnl`	Intent Understanding Using an Activation Spreading Architecture. Robotics Mohammad Taghi Saffar, Mircea Nicolescu, Monica N. Nicolescu, Banafsheh Rekabdar
2015	B	`conf`	Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks. IJCNN Banafsheh Rekabdar, Monica N. Nicolescu, Mircea Nicolescu, Richard Kelley
2014	—	`conf`	Unsupervised Learning of Spatio-temporal Patterns Using Spike Timing Dependent Plasticity. AGI Banafsheh Rekabdar, Monica N. Nicolescu, Richard Kelley, Mircea Nicolescu
2012	—	`conf`	Artificial Neural Network Ensemble Approach for Creating a Negotiation Model with Ethical Artificial Agents. ICAISC (2) Banafsheh Rekabdar, Mahmood Joorabian, Bita Shadgar
2012	Misc	`conf`	Learning Teamwork Behaviors Approach: Learning by Observation Meets Case-Based Planning. AIMSA Banafsheh Rekabdar, Bita Shadgar, Alireza Osareh