Kayur Patel
http://www.cs.washington.edu/homes/kayurGraduate Student
Computer Science & Engineering
Keywords: machine learning, development tools, software engineering
I am a class-taking, code-writing, paper-reading, conference-attending, knowledge-producing, PhD-seeking, grad student in the School of Computer Science at the University of Washington. My research interests lie in the intersection between Human Computer Interaction and Artificial Intelligence. As part of the DuB group, I receive excellent advice from James Landay and James Fogarty. My work is funded by the US government in the form of a NDSEG fellowship.
Currently there are a number of exciting, potentially life-changing applications of machine learning, such as activity recognition systems and brain computer interfaces. However, these applications are hard to develop, especially for those without extensive expertise in machine learning. I want to make it so that more people can adopt machine learning to build cool new applications. To this end, I am working on tools that make it easier for developers to integrate statistical machine learning into their applications.
Projects
Publications
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Amplifying Community Content Creation with Mixed Initiative Information Extraction Raphael Hoffmann, Saleema Amershi, Kayur Patel, Fei Wu, James Fogarty and Daniel S. Weld Conference on Human Factors in Computing Systems, 2009. Full Paper (PDF) |
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VoiceLabel: Using Speech to Label Mobile Sensor Data Susumu Harada, Jonathan Lester, Kayur Patel, T. Scott Saponas, James Fogarty, James A. Landay and Jacob O. Wobbrock International Conference on Multimodal Interfaces, 2008. Full Paper (PDF) |
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Investigating Statistical Machine Learning as a Tool for Software Development Kayur Patel, James Fogarty, James A. Landay and Beverly Harrison Conference on Human Factors in Computing Systems, 2008. Full Paper (PDF) |
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Personalizing Routes Kayur Patel, Mike Chen, Ian Smith and James A. Landay Symposium on User Interface Software and Technology, 2006. Tech Note (PDF) |