Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rayyan Ahmad Khan"'
Autor:
Muhammad Umer Anwaar, Zhiwei Han, Shyam Arumugaswamy, Rayyan Ahmad Khan, Thomas Weber, Tianming Qiu, Hao Shen, Yuanting Liu, Martin Kleinsteuber
Publikováno v:
Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation.
Autor:
Rayyan Ahmad Khan, Martin Kleinsteuber
Publikováno v:
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining.
Publikováno v:
ICMI
An object can be in several states. For different states (attributes) the object could look dramatically different. Thus, the smart information retrieval systems of the future need to learn good state-object representations. Such a system should not
Publikováno v:
Machine Learning and Knowledge Discovery in Databases. Research Track ISBN: 9783030865191
ECML/PKDD (2)
ECML/PKDD (2)
In graph analysis community detection and node representation learning are two highly correlated tasks. In this work, we propose an efficient generative model called J-ENC for learning Joint Embedding for Node representation and Community detection.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf713cdb840e0ad2a0fb0e2e97b64e8f
https://doi.org/10.1007/978-3-030-86520-7_2
https://doi.org/10.1007/978-3-030-86520-7_2
Publikováno v:
ICPR
Variational autoencoder (VAE) is a widely used generative model for learning latent representations. Burda et al. [3] in their seminal paper showed that learning capacity of VAE is limited by over-pruning. It is a phenomenon where a significant numbe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e276c648f61cf58910aa3597f6f24f7
Autor:
Muhammad Zaman Khan Assir, Ahmadullah Baig, Saad Javed, Suresh Kumar, Asma Abro, Tauseef R. Butt, Christopher Rainville, Muhammad Umer Anwaar, Muhammad Raffey Shabbir, Muhammad Osama, Farjad Adnan, Asad Ur Rehman, David E. Sterner, Rayyan Ahmad Khan, Waseh Ahsan, Syed B. Jamal
Publikováno v:
Computers in Biology and Medicine
The ongoing pandemic of Coronavirus Disease 2019 (COVID-19) has posed a serious threat to global public health. Drug repurposing is a time-efficient approach to finding effective drugs against SARS-CoV-2 in this emergency. Here, we present a robust e