Zobrazeno 1 - 10
of 266
pro vyhledávání: '"Anagnostopoulos, Georgios"'
Autor:
Rasheed, Zimeena, Aravamudan, Akshay, Zhang, Xi, Anagnostopoulos, Georgios C., Nikolopoulos, Efthymios I.
Publikováno v:
In Advances in Water Resources October 2024 192
Publikováno v:
Social, Cultural, and Behavioral Modeling (2021) 204--213
It is widely understood that diffusion of and simultaneous interactions between narratives -- defined here as persistent point-of-view messaging -- significantly contributes to the shaping of political discourse and public opinion. In this work, we p
Externí odkaz:
http://arxiv.org/abs/2111.10402
Autor:
Anagnostopoulos, Georgios1 (AUTHOR) ankark@ee.duth.gr, Karkanis, Anastasios1 (AUTHOR) deythym@ee.duth.gr, Kampatagis, Athanasios2 (AUTHOR) a.kampatagis@dei.gr, Marhavilas, Panagiotis3 (AUTHOR) marhavil@pme.duth.gr, Menesidou, Sofia-Anna4 (AUTHOR) smenesid@ee.duth.gr, Efthymiadis, Dimitrios1 (AUTHOR) mdanikas@ee.duth.gr, Keskinis, Stefanos5 (AUTHOR) s.keskinis@deddie.gr, Ouzounov, Dimitar6 (AUTHOR) ouzounov@chapman.edu, Hatzigeorgiu, Nick7 (AUTHOR) nikos@berkeley.edu, Danikas, Michael1 (AUTHOR)
Publikováno v:
Remote Sensing. Mar2024, Vol. 16 Issue 6, p998. 37p.
Autor:
Garibay, Ivan, Oghaz, Toktam A., Yousefi, Niloofar, Mutlu, Ece C., Schiappa, Madeline, Scheinert, Steven, Anagnostopoulos, Georgios C., Bouwens, Christina, Fiore, Stephen M., Mantzaris, Alexander, Murphy, John T., Rand, William, Salter, Anastasia, Stanfill, Mel, Sukthankar, Gita, Baral, Nisha, Fair, Gabriel, Gunaratne, Chathika, Hajiakhoond, Neda B., Jasser, Jasser, Jayalath, Chathura, Newton, Olivia, Saadat, Samaneh, Senevirathna, Chathurani, Winter, Rachel, Zhang, Xi
This paper explains the design of a social network analysis framework, developed under DARPA's SocialSim program, with novel architecture that models human emotional, cognitive and social factors. Our framework is both theory and data-driven, and uti
Externí odkaz:
http://arxiv.org/abs/2003.11611
In this paper, we propose a novel hash learning approach that has the following main distinguishing features, when compared to past frameworks. First, the codewords are utilized in the Hamming space as ancillary techniques to accomplish its hash lear
Externí odkaz:
http://arxiv.org/abs/1902.08639
We propose a new method for local distance metric learning based on sample similarity as side information. These local metrics, which utilize conical combinations of metric weight matrices, are learned from the pooled spatial characteristics of the d
Externí odkaz:
http://arxiv.org/abs/1902.08313
Autor:
Rasheed, Zimeena, Aravamudan, Akshay, Gorji Sefidmazgi, Ali, Anagnostopoulos, Georgios C., Nikolopoulos, Efthymios I.
Publikováno v:
In Journal of Hydrology June 2022 609