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    Author information
    First name: Foster J.
    Last name: Provost
    DBLP: p/FosterJProvost
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    Below you find the publications which have been written by this author.

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    Conference paper
    Foster J. Provost.
    The Predictive Power of Massive Data about our Fine-Grained Behavior.
    Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016 2016 (0) 2016
    Journal article
    Daizhuo Chen, Samuel P. Fraiberger, Robert Moakler, Foster J. Provost.
    Enhancing Transparency and Control when Drawing Data-Driven Inferences about Individuals.
    CoRR 2016, Volume 0 (0) 2016
    Journal article
    Julie Moeyersoms, Brian Dalessandro, Foster J. Provost, David Martens.
    Explaining Classification Models Built on High-Dimensional Sparse Data.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    David Martens, Foster J. Provost, Jessica Clark, Enric Junqué de Fortuny.
    Mining Massive Fine-Grained Behavior Data to Improve Predictive Analytics.
    MIS Quarterly 2016, Volume 40 (0) 2016
    Journal article
    Josh Attenberg, Panagiotis G. Ipeirotis, Foster J. Provost.
    Beat the Machine: Challenging Humans to Find a Predictive Model's "Unknown Unknowns".
    J. Data and Information Quality 2015, Volume 6 (0) 2015
    Conference paper
    Foster J. Provost, David Martens, Alan Murray.
    Finding Similar Mobile Consumers with a Privacy-Friendly Geosocial Design.
    Information Systems Research 2015, Volume 26 (0) 2015
    Conference paper
    Enric Junqué de Fortuny, Theodoros Evgeniou, David Martens, Foster J. Provost.
    Iteratively refining SVMs using priors.
    2015 IEEE International Conference on Big Data, Big Data 2015, Santa Clara, CA, USA, October 29 - November 1, 2015 2015 (0) 2015
    Journal article
    Panagiotis G. Ipeirotis, Foster J. Provost, Victor S. Sheng, Jing Wang.
    Repeated labeling using multiple noisy labelers.
    Data Min. Knowl. Discov. 2014, Volume 28 (0) 2014
    Journal article
    Claudia Perlich, Brian Dalessandro, Troy Raeder, Ori Stitelman, Foster J. Provost.
    Machine learning for targeted display advertising: transfer learning in action.
    Machine Learning 2014, Volume 95 (0) 2014
    Conference paper
    Enric Junqué de Fortuny, Marija Stankova, Julie Moeyersoms, Bart Minnaert, Foster J. Provost, David Martens.
    Corporate residence fraud detection.
    The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD '14, New York, NY, USA - August 24 - 27, 2014 2014 (0) 2014
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