Sadeghi, S., Scheutz, M., Krause, E. (2017). An Embodied Incremental Bayesian Model of Cross-Situational Word Learning. In Proceedings of the 2017 Joint IEEE International Conference on Development and learning and Epigenetic Robotics (ICDL-EPIROB). pdf (Demo is available here).
Scheutz, M., Krause, E., and Sadeghi, S. (2014). An Embodied Real-Time Model of Language-Guided Incremental Visual Search. In Proceedings of the 36th annual meeting of the cognitive science society. pdf
Sadeghi, S., Scheutz, M., Pu, H., Holcomb, P. J., and Midgley, K. J. (2013). A PDP Model for Capturing N400 Effects in Early L2 Learners during Bilingual Word Reading Tasks. In Proceedings of the 35th annual conference of the cognitive science society. pdf
Sadeghi, S., and Ramanathan, K. (2011, July). A Hubel Wiesel model of early concept generalization based on local correlation of input features. In Neural Networks (IJCNN), The 2011 International Joint Conference on (pp. 709-716). IEEE. pdf
Sadeghi, S., Fusion of Color and Infrared images for pedestrian detection using SVM, B.Sc. Thesis.