Faculty of Engineering and Science - PDFSEARCH.IO - Document Search Engine

Faculty of Engineering and Science
Results: 1008

#	Item
31	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 Add to Reading List Source URL: faculty.cse.tamu.edu - Date: 2013-04-25 16:03:30
32	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 Add to Reading List Source URL: faculty.cse.tamu.edu - Date: 2009-09-16 10:08:34
33	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 Add to Reading List Source URL: faculty.cse.tamu.edu - Date: 2015-04-18 18:07:10
34	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 Add to Reading List Source URL: faculty.cse.tamu.edu - Date: 2011-08-26 16:56:36
35	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 Add to Reading List Source URL: faculty.cse.tamu.edu - Date: 2015-04-18 18:07:04
36	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 Add to Reading List Source URL: faculty.cse.tamu.edu - Date: 2018-03-29 12:38:12
37	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 Add to Reading List Source URL: faculty.cse.tamu.edu - Date: 2013-09-24 17:35:28
38	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, Add to Reading List Source URL: faculty.cse.tamu.edu - Date: 2013-04-25 16:02:51
39	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 Add to Reading List Source URL: faculty.cse.tamu.edu - Date: 2016-02-22 16:06:48
40	Online Deception Detection Refueled by Real World Data Collection Wenlin Yao, Zeyu Dai, Ruihong Huang, James Caverlee Department of Computer Science and Engineering Texas A&M University {wenlinyao, jzdaizeyu, huangrh, ca Add to Reading List Source URL: faculty.cse.tamu.edu - Date: 2017-08-02 14:38:32