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  1. Chapter and Conference Paper

    Beyond Outlier Detection: LookOut for Pictorial Explanation

    Why is a given point in a dataset marked as an outlier by an off-the-shelf detection algorithm? Which feature(s) explain it the best? What is the best way to convince a human analyst that the point is indeed a...

    Nikhil Gupta, Dhivya Eswaran, Neil Shah in Machine Learning and Knowledge Discovery i… (2019)

  2. Chapter and Conference Paper

    Social-Affiliation Networks: Patterns and the SOAR Model

    Given a social-affiliation network – a friendship graph where users have many, binary attributes e.g., check-ins, page likes or group memberships – what rules do its structural properties such as edge or triangle...

    Dhivya Eswaran, Reihaneh Rabbany in Machine Learning and Knowledge Discovery i… (2019)

  3. Chapter and Conference Paper

    GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid

    Given sensor readings over time from a power grid consisting of nodes (e.g. generators) and edges (e.g. power lines), how can we most accurately detect when an electrical component has failed? More challenging...

    Bryan Hooi, Dhivya Eswaran, Hyun Ah Song in Machine Learning and Knowledge Discovery i… (2019)