Engineering and Science of Texas

Results: 270



#Item
11Detecting 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
    12Spatio-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
      13Probabilistic 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
        14A 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
          15Toward Traffic-Driven Location-Based Web Search Zhiyuan Cheng, James Caverlee, Krishna Y. Kamath, and Kyumin Lee Department of Computer Science and Engineering Texas A&M University College Station, TX, USA

          Toward Traffic-Driven Location-Based Web Search Zhiyuan Cheng, James Caverlee, Krishna Y. Kamath, and Kyumin Lee Department of Computer Science and Engineering Texas A&M University College Station, TX, USA

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          Source URL: faculty.cse.tamu.edu

          - Date: 2011-08-26 16:56:36
            16Detecting Spam URLs in Social Media via Behavioral Analysis Cheng Cao and James Caverlee Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {chengcao,caverlee}@cse.tamu.edu

            Detecting Spam URLs in Social Media via Behavioral Analysis Cheng Cao and James Caverlee Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {chengcao,caverlee}@cse.tamu.edu

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            Source URL: faculty.cse.tamu.edu

            - Date: 2015-04-18 18:07:04
              17Multi-Aspect Streaming Tensor Completion Qingquan Song,† Xiao Huang,† Hancheng Ge,† James Caverlee,† Xia Hu†, ‡ Department of Computer Science and Engineering, Texas A&M University Center for Remote Health Te

              Multi-Aspect Streaming Tensor Completion Qingquan Song,† Xiao Huang,† Hancheng Ge,† James Caverlee,† Xia Hu†, ‡ Department of Computer Science and Engineering, Texas A&M University Center for Remote Health Te

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              Source URL: faculty.cse.tamu.edu

              - Date: 2018-03-29 12:38:12
                18Location Prediction in Social Media Based on Tie Strength Jeffrey McGee, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station, TX, USA

                Location Prediction in Social Media Based on Tie Strength Jeffrey McGee, James Caverlee, Zhiyuan Cheng Department of Computer Science and Engineering Texas A&M University College Station, TX, USA

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                Source URL: faculty.cse.tamu.edu

                - Date: 2013-09-24 17:35:28
                  19How 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
                    20LExL: A Learning Approach for Local Expert Discovery on Twitter Wei Niu, Zhijiao Liu, James Caverlee Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {wei,lzj,caverlee}@cse

                    LExL: A Learning Approach for Local Expert Discovery on Twitter Wei Niu, Zhijiao Liu, James Caverlee Department of Computer Science and Engineering, Texas A&M University College Station, Texas, USA {wei,lzj,caverlee}@cse

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                    Source URL: faculty.cse.tamu.edu

                    - Date: 2016-02-22 16:06:48