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Daniel Neill

Associate Professor of Computer Science and Public Service

    20012019
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    Fingerprint Weighted list of dominant concepts in the researcher's publications (titles and abstracts).

    Statistics Engineering & Materials Science
    Scan Statistic Mathematics
    Anomalous Mathematics
    Subset Mathematics
    Gaussian Process Mathematics
    Learning systems Engineering & Materials Science
    Event Detection Mathematics
    Set theory Engineering & Materials Science

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 2001 2019

    Change surfaces for expressive multidimensional changepoints and counterfactual prediction

    Herlands, W., Neill, D., Nickisch, H. & Wilson, A. G., Jun 1 2019, In : Journal of Machine Learning Research. 20

    Research output: Contribution to journalArticle

    Change Point
    Prediction
    Gaussian Process
    Change-point Model
    Posterior Mean

    Keeping Score: Predictive Analytics in Policing

    Fitzpatrick, D. J., Gorr, W. L. & Neill, D., Jan 13 2019, In : Annual Review of Criminology. 2, p. 473-491 19 p.

    Research output: Contribution to journalReview article

    police
    offense
    crime prevention
    jurisdiction
    evaluation

    Automated local regression discontinuity design discovery

    Herlands, W., Wilson, A. G., McFowland, E. & Neill, D., Jul 19 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1512-1520 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learning systems

    Cytogenetic analysis of adult T-Cell leukemia/lymphoma: evaluation of a Caribbean cohort

    Sun, Y., Murty, V. V., Leeman-Neill, R., Soderquist, C., Park, D., Neill, D., Bhagat, G. & Alobeid, B., Jan 1 2018, (Accepted/In press) In : Leukemia and Lymphoma.

    Research output: Contribution to journalArticle

    Adult T Cell Leukemia Lymphoma
    Cytogenetic Analysis

    Discovering anomalous patterns in large digital pathology images

    Somanchi, S., Neill, D. & Parwani, A. V., Nov 10 2018, In : Statistics in Medicine. 37, 25, p. 3599-3615 17 p.

    Research output: Contribution to journalArticle

    Digital Image
    Anomalous
    Pathology
    Cancer
    Region of Interest