Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Gullal Singh Cheema"'
Publikováno v:
Companion Proceedings of the Web Conference 2022.
The detection of offensive, hateful content on social media is a challenging problem that affects many online users on a daily basis. Hateful content is often used to target a group of people based on ethnicity, gender, religion and other factors. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1342b66f1a95bbe3bfb5246e08defce
Autor:
Gullal Singh Cheema, Sherzod Hakimov, Abdul Sittar, Eric Müller-Budack, Christian Otto, Ralph Ewerth
In recent years, the problem of misinformation on the web has become widespread across languages, countries, and various social media platforms. Although there has been much work on automated fake news detection, the role of images and their variety
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5e743d57597dca7a211af3bc418ca39
Publikováno v:
MMPT@ICMR
Proceedings of the 2021 Workshop on Multi-Modal Pre-Training for Multimedia Understanding
Workshop on Multi-ModalPre-Training for Multimedia Understanding (MMPT 2021)
Proceedings of the 2021 Workshop on Multi-Modal Pre-Training for Multimedia Understanding
Workshop on Multi-ModalPre-Training for Multimedia Understanding (MMPT 2021)
Opinion and sentiment analysis is a vital task to characterize subjective information in social media posts. In this paper, we present a comprehensive experimental evaluation and comparison with six state-of-the-art methods, from which we have re-imp
Publikováno v:
PRICAI 2019: Trends in Artificial Intelligence ISBN: 9783030298937
PRICAI (3)
PRICAI (3)
Ecological imbalance owing to rapid urbanization and deforestation has adversely affected the population of several wild animals. This loss of habitat has skewed the population of several non-human primate species like chimpanzees and macaques and ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::068a1f4dae7101cbe91b9b25ed17a937
https://doi.org/10.1007/978-3-030-29894-4_32
https://doi.org/10.1007/978-3-030-29894-4_32
Publikováno v:
BigMM
Clustering using neural networks has recently demonstrated promising performance in machine learning and computer vision applications. However, the performance of current approaches is limited either by unsupervised learning or their dependence on la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2542356b0ed28f17d235afa7cf160c0b
http://arxiv.org/abs/1806.01547
http://arxiv.org/abs/1806.01547
Autor:
Gullal Singh Cheema, Saket Anand
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783319712727
ECML/PKDD (3)
ECML/PKDD (3)
Visual animal biometrics is rapidly gaining popularity as it enables a non-invasive and cost-effective approach for wildlife monitoring applications. Widespread usage of camera traps has led to large volumes of collected images, making manual process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45e4f684f5256e144cb86c6c3a78c53e
https://doi.org/10.1007/978-3-319-71273-4_3
https://doi.org/10.1007/978-3-319-71273-4_3