Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Arpinar, I. Budak"'
Autor:
Miller, John A., Aldosari, Mohammed, Saeed, Farah, Barna, Nasid Habib, Rana, Subas, Arpinar, I. Budak, Liu, Ninghao
Deep Learning has been successfully applied to many application domains, yet its advantages have been slow to emerge for time series forecasting. For example, in the well-known Makridakis (M) Competitions, hybrids of traditional statistical or machin
Externí odkaz:
http://arxiv.org/abs/2401.13912
Autor:
Wijesiriwardene, Thilini, Inan, Hale, Kursuncu, Ugur, Gaur, Manas, Shalin, Valerie L., Thirunarayan, Krishnaprasad, Sheth, Amit, Arpinar, I. Budak
Publikováno v:
International Conference on Social Informatics. 12467 (2020) 427-439
The convenience of social media has also enabled its misuse, potentially resulting in toxic behavior. Nearly 66% of internet users have observed online harassment, and 41% claim personal experience, with 18% facing severe forms of online harassment.
Externí odkaz:
http://arxiv.org/abs/2008.06465
Autor:
Kursuncu, Ugur, Gaur, Manas, Castillo, Carlos, Alambo, Amanuel, Thirunarayan, K., Shalin, Valerie, Achilov, Dilshod, Arpinar, I. Budak, Sheth, Amit
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 3 (2019)
Terror attacks have been linked in part to online extremist content. Although tens of thousands of Islamist extremism supporters consume such content, they are a small fraction relative to peaceful Muslims. The efforts to contain the ever-evolving ex
Externí odkaz:
http://arxiv.org/abs/1908.06520
Autor:
Kursuncu, Ugur, Gaur, Manas, Lokala, Usha, Illendula, Anurag, Thirunarayan, Krishnaprasad, Daniulaityte, Raminta, Sheth, Amit, Arpinar, I. Budak
Publikováno v:
IEEE/WIC/ACM International Conference on Web Intelligence. (2018)
With 93% of pro-marijuana population in US favoring legalization of medical marijuana, high expectations of a greater return for Marijuana stocks, and public actively sharing information about medical, recreational and business aspects related to mar
Externí odkaz:
http://arxiv.org/abs/1806.06813
Autor:
Kursuncu, Ugur, Gaur, Manas, Lokala, Usha, Thirunarayan, Krishnaprasad, Sheth, Amit, Arpinar, I. Budak
Publikováno v:
Emerging Research Challenges and Opportunities in Computational Social Network Analysis and Mining. (2019) 67-104
Predictive analysis of social media data has attracted considerable attention from the research community as well as the business world because of the essential and actionable information it can provide. Over the years, extensive experimentation and
Externí odkaz:
http://arxiv.org/abs/1806.02377
Autor:
Arpinar, I. Budak1 budak@cs.uga.edu, Ramakrishnan, Cartic1, Azami, Molly2, Sheth, Amit1, Usery, E. Lynn2, Mei-Po Kwan3
Publikováno v:
Transactions in GIS. Jul2006, Vol. 10 Issue 4, p551-575. 25p. 3 Diagrams, 4 Charts, 1 Map.
Autor:
Basharat, Amna, Arpinar, I. Budak, Dastgheib, Shima, Kursuncu, Ugur, Kochut, Krys, Dogdu, Erdogan
Publikováno v:
2014 IEEE International Conference on Semantic Computing; 2014, p227-234, 8p
Autor:
Basharat, Amna, Arpinar, I. Budak, Dastgheib, Shima, Kursuncu, Ugur, Kochut, Krys, Dogdu, Erdogan
Publikováno v:
International Journal of Semantic Computing; Dec2014, Vol. 8 Issue 4, p415-439, 25p
Publikováno v:
2013 IEEE Seventh International Conference on Semantic Computing; 2013, p56-63, 8p
Autor:
Mcknight, Bobby, Arpinar, I. Budak
Publikováno v:
2012 IEEE International Conference on Bioinformatics & Biomedicine; 1/ 1/2012, p1-4, 4p