Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Baani Leen Kaur Jolly"'
Autor:
Palash Aggrawal, Baani Leen Kaur Jolly, Amogh Gulati, Amarjit Sethi, Ponnurangam Kumaraguru, Tavpritesh Sethi
Publikováno v:
Frontiers in Communication, Vol 6 (2021)
COVID-19 infodemic has been spreading faster than the pandemic itself. The misinformation riding upon the infodemic wave poses a major threat to people’s health and governance systems. Managing this infodemic not only requires mitigating misinforma
Externí odkaz:
https://doaj.org/article/06d29a6bf7e8408a8c8569549fab16e7
Publikováno v:
JCDL
Journal Impact Factor is a popular metric for determining the quality of a journal in academia. The number of citations received by a journal is a crucial factor in determining the impact factor, which may be misused in multiple ways. Therefore, it i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b42ff9f1faeac0aca114f3b2283d09e4
http://arxiv.org/abs/2005.14343
http://arxiv.org/abs/2005.14343
Autor:
Baani Leen Kaur Jolly, Palash Aggrawal, Amarjit Singh Sethi, Ponnurangam Kumaraguru, Amogh Gulati, Tavpritesh Sethi
Publikováno v:
Frontiers in Communication, Vol 6 (2021)
COVID-19 infodemic has been spreading faster than the pandemic itself. The misinformation riding upon the infodemic wave poses a major threat to people's health and governance systems. Since social media is the largest source of information, managing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15469d1fce8d3a1afb7265da48287b02
Autor:
Viresh Gupta, Palash Aggrawal, Baani Leen Kaur Jolly, Manraj Singh Grover, Surabhi S. Nath, Rajiv Ratn Shah
Publikováno v:
BigMM
2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM)
2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM)
Brain Computer Interfaces (BCI) have become very popular with Electroencephalography (EEG) being one of the most commonly used signal acquisition techniques. A major challenge in BCI studies is the individualistic analysis required for each task. Thu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::196128ebc3d8d19d6313422cf410e966
Publikováno v:
SemEval@NAACL-HLT
Scopus-Elsevier
Scopus-Elsevier
In this paper, we present a news bias prediction system, which we developed as part of a SemEval 2019 task. We developed an XGBoost based system which uses character and word level n-gram features represented using TF-IDF, count vector based correlat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43b6e665d7e2ad28094b87764d119e29
https://doi.org/10.18653/v1/s19-2159
https://doi.org/10.18653/v1/s19-2159