Zobrazeno 1 - 10
of 20 002
pro vyhledávání: '"Shaban AN"'
Autor:
Silkina Galina, Shaban Anton
Publikováno v:
π-Economy, Vol 16, Iss 5 (2023)
Digitalization has acquired a total socio-economic nature, which means that digital innovations have had a large-scale effect in the economy: they play the role of basic, industry-forming, and developing innovations as the pace of product restock and
Externí odkaz:
https://doaj.org/article/d2094dbf069c48cdb9291c55b8887064
Autor:
Ding, Tong, Wagner, Sophia J., Song, Andrew H., Chen, Richard J., Lu, Ming Y., Zhang, Andrew, Vaidya, Anurag J., Jaume, Guillaume, Shaban, Muhammad, Kim, Ahrong, Williamson, Drew F. K., Chen, Bowen, Almagro-Perez, Cristina, Doucet, Paul, Sahai, Sharifa, Chen, Chengkuan, Komura, Daisuke, Kawabe, Akihiro, Ishikawa, Shumpei, Gerber, Georg, Peng, Tingying, Le, Long Phi, Mahmood, Faisal
The field of computational pathology has been transformed with recent advances in foundation models that encode histopathology region-of-interests (ROIs) into versatile and transferable feature representations via self-supervised learning (SSL). Howe
Externí odkaz:
http://arxiv.org/abs/2411.19666
This work tackles the challenge of efficiently selecting high-performance pre-trained vision backbones for specific target tasks. Although exhaustive search within a finite set of backbones can solve this problem, it becomes impractical for large dat
Externí odkaz:
http://arxiv.org/abs/2410.08592
Accurately and efficiently predicting the infrared (IR) spectra of a molecule can provide insights into the structure-properties relationships of molecular species, which has led to a proliferation of machine learning tools designed for this purpose.
Externí odkaz:
http://arxiv.org/abs/2409.18070
In this paper, a space-air-ground quantum (SPARQ) network is developed as a means for providing a seamless on-demand entanglement distribution. The node mobility in SPARQ poses significant challenges to entanglement routing. Existing quantum routing
Externí odkaz:
http://arxiv.org/abs/2409.12891
Background: The rapid advancement of Machine Learning (ML) represents novel opportunities to enhance public health research, surveillance, and decision-making. However, there is a lack of comprehensive understanding of algorithmic bias, systematic er
Externí odkaz:
http://arxiv.org/abs/2408.13295
Autor:
Shaban, Ali, Paulheim, Heiko
Snapshot ensembles have been widely used in various fields of prediction. They allow for training an ensemble of prediction models at the cost of training a single one. They are known to yield more robust predictions by creating a set of diverse base
Externí odkaz:
http://arxiv.org/abs/2408.02707
Publikováno v:
Cancer Innovation 2024;3:e136
With the advances in artificial intelligence (AI), data-driven algorithms are becoming increasingly popular in the medical domain. However, due to the nonlinear and complex behavior of many of these algorithms, decision-making by such algorithms is n
Externí odkaz:
http://arxiv.org/abs/2407.12058
Autor:
Sulejman, Shaban B., Wesemann, Lukas, McCormack, Mikkaela, Meng, Jiajun, Hutchison, James A., Priscilla, Niken, McColl, Gawain, Read, Katrina, Sim, Wilson, Sukhorukov, Andrey A., Crozier, Kenneth B., Roberts, Ann
Different imaging modalities are used to extract the diverse information carried in an optical field. Two prominent modalities include bright field and phase contrast microscopy that can visualize the amplitude and phase features of a sample, respect
Externí odkaz:
http://arxiv.org/abs/2406.04576
Autor:
Kumsa, Fekede Asefa, Fowke, Jay H., Hashtarkhani, Soheil, White, Brianna M., Shrubsole, Martha J., Shaban-Nejad, Arash
Publikováno v:
Front Oncol Frontiers in Oncology, 2024 Apr 9:14:1343070
Prostate cancer is one of the leading causes of cancer-related mortality among men in the U.S. We examined the role of neighborhood obesogenic attributes on prostate cancer risk and mortality in the Southern Community Cohort Study (SCCS). From 34,166
Externí odkaz:
http://arxiv.org/abs/2405.18456