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  1. Article

    Open Access

    Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions

    Science teams for rover-based planetary exploration missions like the Mars Science Laboratory Curiosity rover have limited time for analyzing new data before making decisions about follow-up observations. Ther...

    Hannah R. Kerner, Kiri L. Wagstaff, Brian D. Bue… in Data Mining and Knowledge Discovery (2020)

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  2. No Access

    Article

    Visualizing image content to explain novel image discovery

    The initial analysis of any large data set can be divided into two phases: (1) the identification of common trends or patterns and (2) the identification of anomalies or outliers that deviate from those trends...

    Jake H. Lee, Kiri L. Wagstaff in Data Mining and Knowledge Discovery (2020)

  3. Article

    Machine learning for science and society

    The special issue on “Machine Learning for Science and Society” showcases machine learning work with influence on our current and future society. These papers address several key problems such as how we perfor...

    Cynthia Rudin, Kiri L. Wagstaff in Machine Learning (2014)

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  4. Article

    Machine learning in space: extending our reach

    We introduce the challenge of using machine learning effectively in space applications and motivate the domain for future researchers. Machine learning can be used to enable greater autonomy to improve the dur...

    Amy McGovern, Kiri L. Wagstaff in Machine Learning (2011)

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  5. No Access

    Article

    Progressive refinement for support vector machines

    Support vector machines (SVMs) have good accuracy and generalization properties, but they tend to be slow to classify new examples. In contrast to previous work that aims to reduce the time required to fully c...

    Kiri L. Wagstaff, Michael Kocurek, Dominic Mazzoni… in Data Mining and Knowledge Discovery (2010)