Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Konstantin Pogorelov"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Online social networks are ubiquitous, have billions of users, and produce large amounts of data. While platforms like Reddit are based on a forum-like organization where users gather around topics, Facebook and Twitter implement a concept i
Externí odkaz:
https://doaj.org/article/c104197a106d4de4867bb79b57fa32ac
Autor:
Johannes Langguth, Konstantin Pogorelov, Stefan Brenner, Petra Filkuková, Daniel Thilo Schroeder
Publikováno v:
Frontiers in Communication, Vol 6 (2021)
We review the phenomenon of deepfakes, a novel technology enabling inexpensive manipulation of video material through the use of artificial intelligence, in the context of today’s wider discussion on fake news. We discuss the foundation as well as
Externí odkaz:
https://doaj.org/article/788b172455bc420db63bc9264e40de78
Autor:
Johannes Langguth, Daniel Thilo Schroeder, Petra Filkuková, Stefan Brenner, Jesper Phillips, Konstantin Pogorelov
Publikováno v:
Journal of Computational Social Science.
The COVID-19 pandemic has been accompanied by a surge of misinformation on social media which covered a wide range of different topics and contained many competing narratives, including conspiracy theories. To study such conspiracy theories, we creat
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Autor:
Andreas Huber, Daniel Thilo Schroeder, Konstantin Pogorelov, Carsten Griwodz, Johannes Langguth
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Autor:
Johannes Langguth, Petra Filkuková, Stefan Brenner, Daniel Thilo Schroeder, Konstantin Pogorelov
Publikováno v:
International Journal of Data Science and Analytics (JDSA)
The COVID-19 pandemic has severely affected the lives of people worldwide, and consequently, it has dominated world news since March 2020. Thus, it is no surprise that it has also been the topic of a massive amount of misinformation, which was most l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34786ab643e37e4d72ebdc5e2e596178
https://hdl.handle.net/11250/3016343
https://hdl.handle.net/11250/3016343
Autor:
Konstantin Pogorelov, Johannes Langguth, Petra Filkuková, Stefan Brenner, Daniel Thilo Schroeder
Publikováno v:
OASIS@HT
The COVID-19 pandemic has been accompanied by a flood of misinformation on social media, which has been labeled an "infodemic". While a large part of such fake news is ultimately inconsequential, some of it has the potential to real-world harm, but d
Autor:
Johannes Langguth, Sunidhi Dhandhania, Konstantin Pogorelov, Swarnendu Biswas, Akshay Deodhar
Publikováno v:
ICPP Workshops
50th International Conference on Parallel Processing Workshop
ICPP Workshops '21: 50th International Conference on Parallel Processing Workshop
50th International Conference on Parallel Processing Workshop
ICPP Workshops '21: 50th International Conference on Parallel Processing Workshop
The performance of sparse matrix-vector multiplication kernels (SpMV) depends on the sparse matrix storage format and the architecture and the memory hierarchy of the target processor. Many sparse matrix storage formats along with corresponding SpMV
Autor:
Ferdinand S. Schaal, Petra Filkuková, Johannes Langguth, Daniel Thilo Schroeder, Konstantin Pogorelov
Publikováno v:
ICAART (2)
In the wake of the COVID-19 pandemic, a surge of misinformation has flooded social media and other internet channels, and some of it has the potential to cause real-world harm To counteract this misinformation, reliably identifying it is a principal
Autor:
Debesh Jha, Muhammad Atif Tahir, Minh-Triet Tran, Philipp Harzig, Yuan Chang, Zeshan Khan, Dag Johansen, Pia H. Smedsrud, Taruna Agrawal, Hanna Borgli, Michael Riegler, Tobey H. Ko, Sharib Ali, Thomas de Lange, Steven Alexander Hicks, Konstantin Pogorelov, Danielle Dias, Olga Ostroukhova, Mathias Lux, Mathias Kirkerød, Håvard D. Johansen, Wenhua Meng, Xiaowei Wang, Yang Liu, Vajira Thambawita, Pål Halvorsen, Trung-Hieu Hoang
Publikováno v:
Medical Image Analysis
Gastrointestinal (GI) endoscopy has been an active field of research motivated by the large number of highly lethal GI cancers. Early GI cancer precursors are often missed during the endoscopic surveillance. The high missed rate of such abnormalities
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd6591d618002099c5d4b84fd86a8813
https://hdl.handle.net/11250/2778657
https://hdl.handle.net/11250/2778657