Ian Fasel, Assistant Research Professor
Tucson, Arizona, United StatesResearch field: Computer and Information Science - Artificial Intelligence
Cognitive Science, AI, Robotics, Computer Vision, Speech Processing, Human-Robot Interaction, Face Perception, Emotion, Reinforcement Learning
Publications
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Conference Proceedings (20)
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Ian R. Fasel, Michael Quinlan, Peter Stone (2009) A Task Specification Language for Bootstrap Learning. In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers.Download PDF (407.2 KB)
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Ian R. Fasel, Michael Quinlan, Peter Stone et al. (2009) A Task Specification Language for Bootstrap Learning (Extended Abstract), 1169-1170. In 8th International Conference on Autonomous Agents and Multiagent Systems.Download PDF (210.31 KB)
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W.B. Knox, Ian R. Fasel, Peter Stone (2009) Design principles for creating human-shapable agents. In AAAI Spring 2009 Symposium on Agents that Learn from Human Teachers.Download PDF (400.82 KB)
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Ian R. Fasel, Masahiro Shiomi, Pilippe-Emmanuel Chadutaud et al. (2009) Multi-modal features for real-time detection of human-robot interaction categories. In International Conference on Multimodal Interfaces.
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P. Ruvolo, I. Fasel, J. Movellan (2008) Auditory mood detection for social and educational robots, 3551-3556. In International Conference on Robotics and Automation.Download PDF (685.17 KB)
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P. Ruvolo, I. Fasel, J. Movellan (2008) Optimization on a Budget: A Reinforcement Learning Approach, 1385--1392. In Advances in Neural Information Processing Systems 2.Download PDF (124.43 KB)
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Fabio Dalla Libera, Takashi Minato, Ian R. Fasel et al. (2007) Teaching by touching: An intuitive method for development of humanoid robot motions, 352-359. In 2007 7th IEEE-RAS International Conference on Humanoid Robots.Download PDF (697 KB)
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Kevin Gold, Ian R. Fasel, Nathan G. Freier et al. (2007) Young researchers' views on the current and future state of HRI, 357. In Proceeding of the ACM/IEEE international conference on Human-robot interaction - HRI '07.Download PDF (388.08 KB)
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Ian R. Fasel, Javier R. Movellan, G.O. Deák (2006) Computational Analysis of the Face Learning Problem in Neonates. In Society for Research in Child Development Biannual Meeting (SRCD).Download PDF (241.32 KB)
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Marian Stewart Bartlett, Gwen Littlewort, Mark G Frank et al. (2005) Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior, 568-573. In 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).Download PDF (173.45 KB)
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Journal Article (7)
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Paul Ruvolo, Ian Fasel, Javier R. Movellan (2010) A learning approach to hierarchical feature selection and aggregation for audio classification. In Pattern Recognition Letters.Download PDF (623.56 KB)
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Fabio Dalla Libera, Takashi Minato, Ian R. Fasel et al. (2009) A new paradigm of humanoid robot motion programming based on touch interpretation, 846-859. In Robotics and Autonomous Systems 57 (8).Download PDF (6.52 MB)
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Micah Eckhardt, Ian R. Fasel, Javier R. Movellan (2009) Towards Practical Facial Feature Detection, 379. In International Journal of Pattern Recognition and Artificial Intelligence 23 (03).Download PDF (1.26 MB)
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M.S. Bartlett, G.C. Littlewort, M.G. Frank et al. (2006) Automatic recognition of facial actions in spontaneous expressions, 22–35. In Journal of Multimedia 1 (6).Download PDF (1 MB)
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Gwen Littlewort, Marian Stewart Bartlett, Ian R. Fasel et al. (2006) Dynamics of facial expression extracted automatically from video, 615-625. In Image and Vision Computing 24 (6).Download PDF (563.26 KB)
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Marian Stewart Bartlett, Gwen Littlewort, Mark G Frank et al. (2006) Fully Automatic Facial Action Recognition in Spontaneous Behavior, 223-230. In 7th International Conference on Automatic Face and Gesture Recognition (FGR06).Download PDF (435.21 KB)
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I. Fasel, J. Movellan, B. Fortenberry (2005) A generative framework for real time object detection and classification, 182–210. In Computer Vision and Image Understanding 98 (1).Download PDF (1.53 MB)
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Thesis (1)
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Ian R. Fasel (2006) Learning Real-Time Object Detectors: Probabilistic Generative Approaches, 110.Download PDF (4.93 MB)
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