Zobrazeno 1 - 10
of 1 329
pro vyhledávání: '"HALL, WENDY"'
Autor:
Hall, Wendy A.1,2 (AUTHOR) wendy.hall@ubc.ca, Moynihan, Melissa1 (AUTHOR), Reid, Graham J.3,4,5 (AUTHOR), McMillan, Robin6 (AUTHOR)
Publikováno v:
BMC Public Health. 9/27/2024, Vol. 24 Issue 1, p1-10. 10p.
Autor:
Chawla, Sanjay, Nakov, Preslav, Ali, Ahmed, Hall, Wendy, Khalil, Issa, Ma, Xiaosong, Sencar, Husrev Taha, Weber, Ingmar, Wooldridge, Michael, Yu, Ting
It is ten years since neural networks made their spectacular comeback. Prompted by this anniversary, we take a holistic perspective on Artificial Intelligence (AI). Supervised Learning for cognitive tasks is effectively solved - provided we have enou
Externí odkaz:
http://arxiv.org/abs/2210.01797
Publikováno v:
Communications of the ACM. Jan2024, Vol. 67 Issue 1, p22-26. 5p.
Publikováno v:
Data & Policy, 4(Article e21), 1-16 (2022)
Trustworthiness is typically regarded as a desirable feature of national identification systems (NISs); but the variegated nature of the trustor communities associated with such systems makes it difficult to see how a single system could be equally t
Externí odkaz:
http://arxiv.org/abs/2112.09674
Publikováno v:
Scientometrics 126, 2329-2348 (2021)
The Turing Award is recognized as the most influential and prestigious award in the field of computer science(CS). With the rise of the science of science (SciSci), a large amount of bibliographic data has been analyzed in an attempt to understand th
Externí odkaz:
http://arxiv.org/abs/2106.11534
Autor:
Hu, Yang, Wen, Guihua, Chapman, Adriane, Yang, Pei, Luo, Mingnan, Xu, Yingxue, Dai, Dan, Hall, Wendy
Publikováno v:
[J]. IEEE Transactions on Multimedia, 2021
Zero-shot learning uses semantic attributes to connect the search space of unseen objects. In recent years, although the deep convolutional network brings powerful visual modeling capabilities to the ZSL task, its visual features have severe pattern
Externí odkaz:
http://arxiv.org/abs/2006.04648
Chinese herbs play a critical role in Traditional Chinese Medicine. Due to different recognition granularity, they can be recognized accurately only by professionals with much experience. It is expected that they can be recognized automatically using
Externí odkaz:
http://arxiv.org/abs/2005.06423
Despite the tremendous success in computer vision, deep convolutional networks suffer from serious computation costs and redundancies. Although previous works address this issue by enhancing diversities of filters, they have not considered the comple
Externí odkaz:
http://arxiv.org/abs/1904.12639
Autor:
O'Hara, Kieron, author, Hall, Wendy, author
Externí odkaz:
https://doi.org/10.1093/oso/9780197523681.001.0001