PUBLICATIONS

Please see my Google Scholar profile for my list of publications.

Refereed Journal Articles

[J1]  Banafsheh Rekabdar, Luke Fraser, Monica Nicolescu, and Mircea Nicolescu. Real-time classification and early detection of human hand motion patterns using spike-timing neural networks. Submitted to Pattern Recognition Letters (Impact Factor 1.586), 2016. [Link]

[J2]  Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, and Sushil Louis. Using patterns of firing neurons in spiking neural networks for learning and early recognition of spatio-temporal patterns. Neural Computing and Applications Journal (Impact Factor 1.492), pages 1–17, 2016. [Link]

[J3]  Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, Mohammad Taghi Saffar, and Richard Kelley. A scale and translation invariant approach for early classification of spatio-temporal patterns using spiking neural networks. Neural Processing Letters (Impact Factor 1.747), 43(2):1–17, 2016. [Link]

[J4]  Banafsheh Rekabdar, Monica Nicolescu, Richard Kelley, and Mircea Nicolescu. An unsupervised approach to learning and early detection of spatio-temporal patterns using spiking neural networks. Journal of Intelligent & Robotic Systems (Impact Factor 0.932), 80(1):1–15, 2015. [Link]

[J5]  Mohammad Taghi Saffar, Mircea Nicolescu, Monica Nicolescu, and Banafsheh Rekabdar. Intent understanding using an activation spreading architecture. Robotics, 4(3):284–315, 2015. [Link]

Refereed Conference Proceedings

[C1] Luke Fraser, Banafsheh Rekabdar, Monica Nicolescu, and Mircea Nicolescu. A hierarchical control architecture for robust and adaptive robot control. In IEEE RAS Humanoids Conference. IEEE, 2016. [Link]

[C2] Mohammad Taghi Saffar, Mircea Nicolescu, Monica Nicolescu, and Banafsheh Rekabdar. Context-based intent understanding in rgb-d videos using an activation spreading architecture. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, pages 3002–3009. IEEE, 2015. [Link]

[C3]  Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, and Richard Kelley. A biologically inspired approach to learning spatio-temporal patterns. In 5th International Conference on Development and Learning and on Epigenetic Robotics, (ICDL-Epirob), Providence, RI, USA , (Acceptance Rate: 34%), pages 291–297. IEEE, 2015. [Link]

[C4]  Mohammad Taghi Saffar, Banafsheh Rekabdar, Sushil Louis, and Mircea Nicolescu. Face recognition in unconstrained environments. In International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, pages 1–7. IEEE, 2015. [Link]

[C5]  Moinul Hossain, Banafsheh Rekabdar, Sushil J Louis, and Sergiu Dascalu. Forecasting the weather of nevada: A deep learning approach. In International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, pages 1–6. IEEE, 2015. [Link]

[C6]  Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, and Richard Kelley. Scale and translation invariant learning of spatio-temporal patterns using longest common subsequences and spiking neural networks. In International Joint Conference on Neural Networks (IJCNN), Killarney, Ireland, pages 1–7. IEEE, 2015. [Link]

[C7] Banafsheh Rekabdar, Monica Nicolescu, and Mircea Nicolescu. An unsupervised learning approach for classifying sequence data for human robotic interaction using spiking neural network. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts (HRI) (Acceptance Rate: 30%), Portland, OR, USA, pages 213–214. ACM/IEEE, 2015. [Link]

[C8] Banafsheh Rekabdar, Monica Nicolescu, Richard Kelley, and Mircea Nicolescu. Unsupervised learning of spatio-temporal patterns using spike timing dependent plasticity. In Artificial General Intelligence (AGI), (Acceptance Rate: 46%), Quebec City, Canada, pages 254–257. Springer, 2014. [Link]

[C9] Banafsheh Rekabdar, Bita Shadgar, and Alireza Osareh. Learning teamwork behaviors approach: learning by observation meets case-based planning. In International Conference on Artificial Intelligence: Methodology, Systems, and Applications (AIMSA), Varna, Bulgaria, pages 195–201. Springer, 2012. [Link]

[C10] Banafsheh Rekabdar, Mahmood Joorabian, and Bita Shadgar. Artificial neural network ensemble approach for creating a negotiation model with ethical artificial agents. In Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, pages 493–501. Springer, 2012. [Link]

[C11] Banafsheh Rekabdar, Majid Zare, Afshin Ghanbarzadeh, and Mehdi Ghanavati. Robot navigation in an unknown environment by using particle swarm optimization (persian). Robotic Conference, Mahshahr, Iran, pages 201–206, 2011. [Link]

Refereed Workshop papers

[W1] Banafsheh Rekabdar. Are spiking neural networks useful for classifying and early recognition of spatio-temporal patterns? In International Joint Conference on Artificial Intelligence (IJCAI), Doctoral Consortium, New York City, USA, 2016. [Link]

[W2] Banafsheh Rekabdar, Luke Fraser, Monica Nicolescu, and Mircea Nicolescu. Spiking neural network for human hand gesture recognition: A real-time approach. RSS workshop on Model Learning for Human-Robot Communication, Ann Arbor, Mich, USA, 2016. [Link]

[W3]  Luke Fraser, Banafsheh Rekabdar, Monica Nicolescu, Mircea Nicolescu, and David Feil-Seifer. A hierarchical control architecture for robust and adaptive collaborative robot task execution. RSS workshop on Planning for Human-Robot Interaction: Shared Autonomy and Collaborative Robotics, Ann Arbor, Mich, USA, 2016. [Link]