The Crowd

Results: 1420



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31You can follow the crowd or LEAD Sign up for

You can follow the crowd or LEAD Sign up for

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Source URL: people.westminstercollege.edu

- Date: 2016-08-18 13:01:30
    32Results of the 2010 CQ WW DX 160 Meter Contests BY ANDY BLANK,* N2NT hile the delay of strong activity in sunspot Cycle 24 probably makes 10-meter enthusiasts unhappy, the 160-meter crowd certainly

    Results of the 2010 CQ WW DX 160 Meter Contests BY ANDY BLANK,* N2NT hile the delay of strong activity in sunspot Cycle 24 probably makes 10-meter enthusiasts unhappy, the 160-meter crowd certainly

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    Source URL: www.cq160.com

    - Date: 2011-01-20 12:06:11
      33Meta: Enabling Programming Languages to Learn from the Crowd Ethan Fast, Michael S. Bernstein Stanford University {ethan.fast, msb}@cs.stanford.edu ABSTRACT

      Meta: Enabling Programming Languages to Learn from the Crowd Ethan Fast, Michael S. Bernstein Stanford University {ethan.fast, msb}@cs.stanford.edu ABSTRACT

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      Source URL: hci.stanford.edu

      - Date: 2016-08-19 18:16:21
        34Content-Based Crowd Retrieval on the Real-Time Web Krishna Y. Kamath James Caverlee Texas A&M University

        Content-Based Crowd Retrieval on the Real-Time Web Krishna Y. Kamath James Caverlee Texas A&M University

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        Source URL: faculty.cse.tamu.edu

        - Date: 2012-10-22 10:08:12
          35Examining Crowd Work and Gig Work Through The Historical Lens of Piecework Ali Alkhatib, Michael S. Bernstein, Margaret Levi Computer Science Department and CASBS Stanford University {ali.alkhatib, msb}@cs.stanford.edu,

          Examining Crowd Work and Gig Work Through The Historical Lens of Piecework Ali Alkhatib, Michael S. Bernstein, Margaret Levi Computer Science Department and CASBS Stanford University {ali.alkhatib, msb}@cs.stanford.edu,

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          Source URL: hci.stanford.edu

          - Date: 2017-03-29 18:03:09
            36How Big is the Crowd? Event and Location Based Population Modeling in Social Media Yuan Liang, James Caverlee, Zhiyuan Cheng, Krishna Y. Kamath Department of Computer Science and Engineering Texas A&M University {yliang,

            How Big is the Crowd? Event and Location Based Population Modeling in Social Media Yuan Liang, James Caverlee, Zhiyuan Cheng, Krishna Y. Kamath Department of Computer Science and Engineering Texas A&M University {yliang,

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            Source URL: faculty.cse.tamu.edu

            - Date: 2013-04-25 16:02:51
              37Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research Jennifer Wortman Vaughan Microsoft Research 641 Avenue of the Americas, 7th Floor New York, NY 10011

              Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research Jennifer Wortman Vaughan Microsoft Research 641 Avenue of the Americas, 7th Floor New York, NY 10011

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              Source URL: www.jennwv.com

              - Date: 2017-11-27 17:09:39
                38Meta: Enabling Programming Languages to Learn from the Crowd Ethan Fast, Michael Bernstein Stanford HCI

                Meta: Enabling Programming Languages to Learn from the Crowd Ethan Fast, Michael Bernstein Stanford HCI

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                Source URL: hci.stanford.edu

                - Date: 2016-10-19 03:27:41
                  39Transient Crowd Discovery on the Real-Time Social Web∗ Krishna Y. Kamath James Caverlee Texas A&M University

                  Transient Crowd Discovery on the Real-Time Social Web∗ Krishna Y. Kamath James Caverlee Texas A&M University

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                  Source URL: faculty.cse.tamu.edu

                  - Date: 2010-12-06 18:46:00
                    40Measuring Crowd Collectiveness Bolei Zhou, Xiaoou Tang, and Xiaogang Wang The Chinese University of Hong Kong Outline 

                    Measuring Crowd Collectiveness Bolei Zhou, Xiaoou Tang, and Xiaogang Wang The Chinese University of Hong Kong Outline 

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                    Source URL: mmlab.ie.cuhk.edu.hk

                    - Date: 2014-03-09 21:02:26