Learning Teamwork Behaviors Approach: Learning by Observation Meets Case-Based Planning. - Banafsheh Rekabdar; Bita Shadgar; Alireza Osareh (AIMSA, 2012)

Artificial Neural Network Ensemble Approach for Creating a Negotiation Model with Ethical Artificial Agents. - Banafsheh Rekabdar; Mahmood Joorabian; Bita Shadgar (ICAISC (2), 2012)

Unsupervised Learning of Spatio-temporal Patterns Using Spike Timing Dependent Plasticity. - Banafsheh Rekabdar; Monica N. Nicolescu; Richard Kelley; Mircea Nicolescu (AGI, 2014)

An Unsupervised Learning Approach for Classifying Sequence Data for Human Robotic Interaction Using Spiking Neural Network. - Banafsheh Rekabdar; Monica N. Nicolescu; Mircea Nicolescu (HRI (Extended Abstracts), 2015)

A biologically inspired approach to learning spatio-temporal patterns. - Banafsheh Rekabdar; Monica N. Nicolescu; Mircea Nicolescu; Richard Kelley (ICDL-EPIROB, 2015)

Forecasting the weather of Nevada: A deep learning approach. - Moinul Hossain; Banafsheh Rekabdar; Sushil J. Louis; Sergiu M. Dascalu (IJCNN, 2015)

Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks. - Banafsheh Rekabdar; Monica N. Nicolescu; Mircea Nicolescu; Richard Kelley (IJCNN, 2015)

Face recognition in unconstrained environments. - Mohammad Taghi Saffar; Banafsheh Rekabdar; Sushil J. Louis; Mircea Nicolescu (IJCNN, 2015)

Context-based intent understanding using an Activation Spreading architecture. - Mohammad Taghi Saffar; Mircea Nicolescu; Monica N. Nicolescu; Banafsheh Rekabdar (IROS, 2015)

An Unsupervised Approach to Learning and Early Detection of Spatio-Temporal Patterns Using Spiking Neural Networks. - Banafsheh Rekabdar; Monica N. Nicolescu; Richard Kelley; Mircea Nicolescu (J. Intell. Robotic Syst., 2015)

Intent Understanding Using an Activation Spreading Architecture. - Mohammad Taghi Saffar; Mircea Nicolescu; Monica N. Nicolescu; Banafsheh Rekabdar (Robotics, 2015)

A compact task representation for hierarchical robot control. - Luke Fraser; Banafsheh Rekabdar; Monica N. Nicolescu; Mircea Nicolescu; David Feil-Seifer; George Bebis (Humanoids, 2016)

Are Spiking Neural Networks Useful for Classifying and Early Recognition of Spatio-Temporal Patterns?. - Banafsheh Rekabdar (IJCAI, 2016)

A Scale and Translation Invariant Approach for Early Classification of Spatio-Temporal Patterns Using Spiking Neural Networks. - Banafsheh Rekabdar; Monica N. Nicolescu; Mircea Nicolescu; Mohammad Taghi Saffar; Richard Kelley (Neural Process. Lett., 2016)

A Game-Theoretic Model for Analysis and Design of Self-organization Mechanisms in IoT. - Vahid Behzadan; Banafsheh Rekabdar (GAMENETS, 2017)

Using patterns of firing neurons in spiking neural networks for learning and early recognition of spatio-temporal patterns. - Banafsheh Rekabdar; Monica N. Nicolescu; Mircea Nicolescu; Sushil J. Louis (Neural Comput. Appl., 2017)

Learning, Recognizing and Early Classification of Spatio-Temporal Patterns using Spike Timing Neural Networks. - Banafsheh Rekabdar (2017)

Anticipating Maneuvers with Dilated Convolutions. - Banafsheh Rekabdar (HRI (Companion), 2018)

Dilated Convolutional Neural Network for Predicting Driver's Activity. - Banafsheh Rekabdar; Christos Mousas (ITSC, 2018)

A real-time spike-timing classifier of spatio-temporal patterns. - Banafsheh Rekabdar; Luke Fraser; Monica N. Nicolescu; Mircea Nicolescu (Neurocomputing, 2018)

The Effects of Driving Habits on Virtual Reality Car Passenger Anxiety. - Alexandros Koilias; Christos Mousas; Banafsheh Rekabdar (EuroVR, 2019)

Improving the realism of synthetic images through a combination of adversarial and perceptual losses. - Charith Atapattu; Banafsheh Rekabdar (IJCNN, 2019)

Efficient Any Source Overlay Multicast In CRT-Based P2P Networks - A Capacity-Constrained Approach. - Indranil Roy; Koushik Maddali; Swathi Kaluvakuri; Banafsheh Rekabdar; Ziping Liu; Bidyut Gupta; Narayan C. Debnath (INDIN, 2019)

Generative Adversarial Network with Policy Gradient for Text Summarization. - Banafsheh Rekabdar; Christos Mousas; Bidyut Gupta (ICSC, 2019)

Arabic Poem Generation with Hierarchical Recurrent Attentional Network. - Sameerah Talafha; Banafsheh Rekabdar (ICSC, 2019)

Passenger Anxiety when Seated in a Virtual Reality Self-Driving Car. - Alexandros Koilias; Christos Mousas; Banafsheh Rekabdar; Christos-Nikolaos Anagnostopoulos (VR, 2019)

Effects of Self-Avatar and Gaze on Avoidance Movement Behavior. - Christos Mousas; Alexandros Koilias; Dimitris Anastasiou; Banafsheh Rekabdar; Christos-Nikolaos Anagnostopoulos (VR, 2019)

Uncertainty Measured Markov Decision Process in Dynamic Environments. - Sourav Dutta; Banafsheh Rekabdar; Chinwe Ekenna (ICRA, 2020)

Question Answering over Knowledge Base using Language Model Embeddings. - Japa Sai Sharath; Banafsheh Rekabdar (IJCNN, 2020)

Passenger Anxiety About Virtual Driver Awareness During a Trip with a Virtual Autonomous Vehicle. - Alexandros Koilias; Christos Mousas; Banafsheh Rekabdar; Christos-Nikolaos Anagnostopoulos (ISVC (1), 2020)

Biologically Inspired Sleep Algorithm for Variational Auto-Encoders. - Sameerah Talafha; Banafsheh Rekabdar; Christos Mousas; Chinwe Ekenna (ISVC (1), 2020)

Attentional Adversarial Variational Video Generation via Decomposing Motion and Content. - Sameerah Talafha; Banafsheh Rekabdar; Chinwe Ekenna; Christos Mousas (ICSC, 2020)

Real and Virtual Environment Mismatching Induces Arousal and Alters Movement Behavior. - Christos Mousas; Dominic Kao; Alexandros Koilias; Banafsheh Rekabdar (VR, 2020)

Predictive Probability Path Planning Model For Dynamic Environments. - Sourav Dutta; Tuan Tran; Banafsheh Rekabdar; Chinwe Ekenna (CoRR, 2020)

Memory Efficient Knowledge Base Question Answering with Chatbot Framework. - Japa Sai Sharath; Banafsheh Rekabdar (BigMM, 2021)

Adaptive Speed Collision Avoidance For Dynamic Environments. - Sourav Dutta; Tuan Tran; Banafsheh Rekabdar; Chinwe Ekenna (CASE, 2021)

Conversational Question Answering Over Knowledge Base using Chat-Bot Framework. - Japa Sai Sharath; Banafsheh Rekabdar (ICSC, 2021)

Poetry Generation Model via Deep learning incorporating Extended Phonetic and Semantic Embeddings. - Sameerah Talafha; Banafsheh Rekabdar (ICSC, 2021)

Classification and Feature Extraction for Hydraulic Structures Data Using Advanced CNN Architectures. - Sameerah Talafha; Di Wu; Banafsheh Rekabdar; Ruopu Li; Guangxing Wang (TransAI, 2021)

Toward Understanding the Effects of Virtual Character Appearance on Avoidance Movement Behavior. - Christos Mousas; Alexandros Koilias; Banafsheh Rekabdar; Dominic Kao; Dimitris Anastasiou (VR, 2021)

Assessing the impacts of anthropogenic drainage structures on hydrologic connectivity using high-resolution digital elevation models. - Sourav Bhadra; Ruopu Li; Di Wu; Guangxing Wang; Banafsheh Rekabdar (Trans. GIS, 2021)

Evaluating virtual reality locomotion interfaces on collision avoidance task with a virtual character. - Christos Mousas; Dominic Kao; Alexandros Koilias; Banafsheh Rekabdar (Vis. Comput., 2021)

Biologically Inspired Variational Auto-Encoders for Adversarial Robustness. - Sameerah Talafha; Banafsheh Rekabdar; Christos Mousas; Chinwe Ekenna (DBB, 2022)

A data-driven situation-aware framework for predictive analysis in smart environments. - Hoda Gholami; Carl K. Chang; Pavan Aduri; Anxiang Ma; Banafsheh Rekabdar (J. Intell. Inf. Syst., 2022)

Transformer Based Approach for Sample Generation in Motion Planning. - Tuan Tran; Sourav Dutta; Banafsheh Rekabdar; Chinwe Ekenna (CASE, 2023)

Illuminating the Bias in Pedestrian Detection. - Afnan Althoupety; Li-Yun Wang; Wu-Chi Feng; Banafsheh Rekabdar (ISM, 2023)

Spiking Convolutional Vision Transformer. - Sameerah Talafha; Banafsheh Rekabdar; Christos Mousas; Chinwe Ekenna (ICSC, 2023)

Attacking a Transformer-Based Models for Arabic Language as Low Resources Language (LRL) Using Word-Substitution Methods. - Hanin Alshalan; Banafsheh Rekabdar (TransAI, 2023)

Deep Hierarchical Variational Autoencoders for World Models in Reinforcement Learning. - Sriharshitha Ayyalasomayajula; Banafsheh Rekabdar; Christos Mousas (TransAI, 2023)

Deep Reinforcement Learning Based Group Recommendation System with Multi-Head Attention Mechanism. - Saba Izadkhah; Banafsheh Rekabdar (TransAI, 2023)

Noisy-Defense Variational Auto-Encoder (ND-VAE): An Adversarial Defense Framework to Eliminate Adversarial Attacks. - Shayan Jalalinour; Banafsheh Rekabdar (TransAI, 2023)

Deep Learning-Based Spatial Detection of Drainage Structures using Advanced Object Detection Methods. - Shayan Jalalipour; Sriharshitha Ayyalasomayjula; Hashem Damrah; Junfan Lin; Banafsheh Rekabdar; Ruopu Li (TransAI, 2023)

A Survey of AI Music Generation Tools and Models. - Yueyue Zhu; Jared Baca; Banafsheh Rekabdar; Reza Rawassizadeh (CoRR, 2023)

Optimizing retroreflective marker set for motion capturing props. - Pedro Acevedo 001; Banafsheh Rekabdar; Christos Mousas (Comput. Graph., 2023)

DaFF: Dual Attentive Feature Fusion for Multispectral Pedestrian Detection. - Afnan Althoupety; Li-Yun Wang; Wu-Chi Feng; Banafsheh Rekabdar (CVPR Workshops, 2024)

Night-to-Day: Unpaired Image-to-Image Translation for Nighttime Pedestrian Detection. - Afnan Althoupety; Li-Yun Wang; Wu-Chi Feng; Banafsheh Rekabdar (ECAI, 2024)

Enhanced Deep Reinforcement Learning based Group Recommendation System with Multi-head Attention for Varied Group Sizes. - Saba Izadkhah; Banafsheh Rekabdar (ESANN, 2024)

GAN-Based Defense Mechanism Against Word-Level Attacks for Arabic Transformer-Based Model. - Hanin Alshalan; Banafsheh Rekabdar (ICECET, 2024)

Dynamic and Adaptive Feature Generation with LLM. - Xinhao Zhang 001; Jinghan Zhang 002; Banafsheh Rekabdar; Yuanchun Zhou; Pengfei Wang 008; Kunpeng Liu 001 (CoRR, 2024)

A Time Series Transformer Attention Model for Enhancing Bicyclist Volume Estimation Using Data Fusion and Feature Selection Techniques. - Saba Izadkhah; Banafsheh Rekabdar; Andrew Wagner; Joseph Broach; Sirisha Kothuri (ICSC, 2025)

OSA-Diff: An Origin Sampling Based Adversarial Attack Using Diffusion Models. - Shayan Jalalipour; Banafsheh Rekabdar (ICSC, 2025)

GeoAI-based drainage crossing detection for elevation-derived hydrographic mapping. - Michael Edidem; Ruopu Li; Di Wu; Banafsheh Rekabdar; Guangxing Wang (Environ. Model. Softw., 2025)

Deep learning classification of drainage crossings based on high-resolution DEM-derived geomorphological information. - Michael Edidem; Bill Xu; Ruopu Li; Di Wu; Banafsheh Rekabdar; Guangxing Wang (Frontiers Artif. Intell., 2025)

Anomaly Detection in Time Series Data Using Reinforcement Learning, Variational Autoencoder, and Active Learning. - Bahareh Golchin; Banafsheh Rekabdar (CoRR, 2025)