Diane Oyen
Multivariate time series data compiled from the USGS Streamflow database.
Postdoctoral Research Associate
Space Data Systems
Mentor, Reid Porter
doyen at cs dot unm dot edu
Research InterestS
I develop machine learning methods that help scientists to understand complex data.
Data
Professional Activities
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•Board Member, New Mexico Network for Women in Science and Engineering
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•Senior Program Committee Member, AAAI-13
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•Scholar, National Security Studies Program (NSSP)
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•past Organizer, Women in Machine Learning Workshop
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•past Vice President, Computer Science Graduate Student Association
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•past Program Chair, Computer Science @ UNM Student Conference
Select Publications
D. Oyen and T. Lane, “Bayesian Discovery of Multiple Bayesian Network Structures via Transfer Learning,” ICDM, 2013.
D. Oyen and T. Lane, “Leveraging Domain Knowledge in Multitask Bayesian Network Structure Learning,” AAAI, 2012.
D. Oyen, E. Eaton and T. Lane, “Inferring Tasks for Improved Network Structure Discovery”, The Learning Workshop, Snowbird, 2012.
D. Oyen, “Active Learning of Transfer Relationships for Multiple Related Bayesian Network Structures,” IEEE ICDM Workshops, 2011.
D. Oyen and T. Lane, “Exploiting Task Relatedness for Multitask Learning of Bayesian Network Structures,” Technical Report , www.cs.unm.edu/~treport/tr/10-04/paper-2011-02.pdf, 2011.
D. Oyen and T. Lane, “Exploiting Task Relatedness to Learn Multiple Bayesian Network Structures,” Technical Report, www.cs.unm.edu/~treport/tr/10-04/paper-2010-08.pdf, 2010.
E. Besada-Portas and D. Oyen, “Redes Bayesianas,” in Aprendizaje Automatico: Un Enfoque Practico, Ra-Ma, 2010.
Courses Taught at UNM
Honors 302-005: How to Lie with Statistics: Uses and Misuses of Numbers in Argument
Education
PhD, Computer Science, University of New Mexico
Dissertation: Interactive Exploration of Multitask Dependency Networks (link)
Advisor, Terran Lane
BS, Electrical and Computer Engineering, Carnegie Mellon University