University Station

Results: 3763



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71Predicting Semantic Annotations on the Real-Time Web⇤ Elham Khabiri Texas A&M University College Station, TX

Predicting Semantic Annotations on the Real-Time Web⇤ Elham Khabiri Texas A&M University College Station, TX

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Source URL: faculty.cse.tamu.edu

- Date: 2012-10-22 10:09:04
    72Seven Months with the Devils: A Long-Term Study of Content Polluters on Twitter Kyumin Lee and Brian David Eoff and James Caverlee Texas A&M University College Station, TX 77843 {kyumin, bde, caverlee} @cse.tamu.edu

    Seven Months with the Devils: A Long-Term Study of Content Polluters on Twitter Kyumin Lee and Brian David Eoff and James Caverlee Texas A&M University College Station, TX 77843 {kyumin, bde, caverlee} @cse.tamu.edu

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    Source URL: faculty.cse.tamu.edu

    - Date: 2011-04-01 12:07:54
      73Uncovering Crowdsourced Manipulation of Online Reviews Amir Fayazi Texas A&M University College Station, TX 77843

      Uncovering Crowdsourced Manipulation of Online Reviews Amir Fayazi Texas A&M University College Station, TX 77843

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      Source URL: faculty.cse.tamu.edu

      - Date: 2015-07-21 16:04:15
        74Spatial Influence vs. Community Influence: Modeling the Global Spread of Social Media Krishna Y. Kamath, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station,

        Spatial Influence vs. Community Influence: Modeling the Global Spread of Social Media Krishna Y. Kamath, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station,

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        Source URL: faculty.cse.tamu.edu

        - Date: 2012-10-22 10:07:50
          75Behavioral Analysis of Review Fraud: Linking Malicious Crowdsourcing to Amazon and Beyond Parisa Kaghazgaran, James Caverlee, and Majid Alfifi Texas A&M University College Station, TX 77843 {kaghazgaran,caverlee,alfifi}@

          Behavioral Analysis of Review Fraud: Linking Malicious Crowdsourcing to Amazon and Beyond Parisa Kaghazgaran, James Caverlee, and Majid Alfifi Texas A&M University College Station, TX 77843 {kaghazgaran,caverlee,alfifi}@

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          Source URL: faculty.cse.tamu.edu

          - Date: 2017-05-09 12:05:41
            76Detecting Collective Attention Spam Kyumin Lee, James Caverlee, Krishna Y. Kamath, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station, TX 77843 {kyumin, caverlee, kykamath,

            Detecting Collective Attention Spam Kyumin Lee, James Caverlee, Krishna Y. Kamath, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station, TX 77843 {kyumin, caverlee, kykamath,

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            Source URL: faculty.cse.tamu.edu

            - Date: 2012-03-20 01:37:10
              77Spatio-Temporal Dynamics of Online Memes: A Study of Geo-Tagged Tweets Krishna Y. Kamath, James Caverlee, Kyumin Lee, and Zhiyuan Cheng Department of Computer Science and Engineering, Texas A&M University College Station

              Spatio-Temporal Dynamics of Online Memes: A Study of Geo-Tagged Tweets Krishna Y. Kamath, James Caverlee, Kyumin Lee, and Zhiyuan Cheng Department of Computer Science and Engineering, Texas A&M University College Station

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              Source URL: faculty.cse.tamu.edu

              - Date: 2013-04-25 16:03:30
                78Probabilistic Generative Models of the Social Annotation Process Said Kashoob, James Caverlee, Elham Khabiri Department of Computer Science and Engineering Texas A&M University College Station, TX 77843

                Probabilistic Generative Models of the Social Annotation Process Said Kashoob, James Caverlee, Elham Khabiri Department of Computer Science and Engineering Texas A&M University College Station, TX 77843

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                Source URL: faculty.cse.tamu.edu

                - Date: 2009-09-16 10:08:34
                  79Raspberry Pi Applications in Digital Communications: A Mobile XastirBased APRS Station John A. Hansen, W2FS Department of Computer Information Sciences State University of New York at Fredonia

                  Raspberry Pi Applications in Digital Communications: A Mobile XastirBased APRS Station John A. Hansen, W2FS Department of Computer Information Sciences State University of New York at Fredonia

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                  Source URL: tnc-x.com

                  - Date: 2014-01-15 10:57:45
                    80A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media Yuan Liang, James Caverlee, and Cheng Cao Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {y

                    A Noise-Filtering Approach for Spatio-temporal Event Detection in Social Media Yuan Liang, James Caverlee, and Cheng Cao Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {y

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                    Source URL: faculty.cse.tamu.edu

                    - Date: 2015-04-18 18:07:10