Zobrazeno 1 - 10
of 66 313
pro vyhledávání: '"Valdez A"'
Autor:
Bunnell, Arianna, Valdez, Dustin, Strand, Fredrik, Glaser, Yannik, Sadowski, Peter, Shepherd, John A.
Background. Breast cancer screening programs using mammography have led to significant mortality reduction in high-income countries. However, many low- and middle-income countries lack resources for mammographic screening. Handheld breast ultrasound
Externí odkaz:
http://arxiv.org/abs/2411.07322
In this paper, we present axiomatic characterizations of some simple risk-sharing (RS) rules, such as the uniform, the mean-proportional and the covariance-based linear RS rules. These characterizations make it easier to understand the underlying pri
Externí odkaz:
http://arxiv.org/abs/2411.06240
Data are the medium through which individuals' identities and experiences are filtered in contemporary states and systems, and AI is increasingly the layer mediating between people, data, and decisions. The history of data and AI is often one of disa
Externí odkaz:
http://arxiv.org/abs/2411.03885
Autor:
Bunnell, Arianna, Valdez, Dustin, Wolfgruber, Thomas K., Quon, Brandon, Hung, Kailee, Hernandez, Brenda Y., Seto, Todd B., Killeen, Jeffrey, Miyoshi, Marshall, Sadowski, Peter, Shepherd, John A.
Background: Breast density, as derived from mammographic images and defined by the American College of Radiology's Breast Imaging Reporting and Data System (BI-RADS), is one of the strongest risk factors for breast cancer. Breast ultrasound (BUS) is
Externí odkaz:
http://arxiv.org/abs/2411.00891
We study the connected sum of Hopf links in $S^3$. Particularly, we compute the entanglement entropy (EE) as a function of the number of link components. We find evidence of lower and upper bounds for the entanglement entropy. We show that the $SU(2)
Externí odkaz:
http://arxiv.org/abs/2408.13439
Autor:
Bunnell, Arianna, Glaser, Yannik, Valdez, Dustin, Wolfgruber, Thomas, Altamirano, Aleen, González, Carol Zamora, Hernandez, Brenda Y., Sadowski, Peter, Shepherd, John A.
Detecting and classifying lesions in breast ultrasound images is a promising application of artificial intelligence (AI) for reducing the burden of cancer in regions with limited access to mammography. Such AI systems are more likely to be useful in
Externí odkaz:
http://arxiv.org/abs/2407.00267
Phylogenetic trees summarize evolutionary relationships between organisms, and tools to analyze collections of phylogenetic trees enable contrasts between different genes' ancestry. The BHV metric space has enabled the analysis of collections of tree
Externí odkaz:
http://arxiv.org/abs/2407.00227
Autor:
So, Banghee, Valdez, Emiliano A.
In this paper, we explore advanced modifications to the Tweedie regression model in order to address its limitations in modeling aggregate claims for various types of insurance such as automobile, health, and liability. Traditional Tweedie models, wh
Externí odkaz:
http://arxiv.org/abs/2406.16206
Autor:
Rogers, Mitchell, Knowles, Kobe, Gendron, Gaël, Heidari, Shahrokh, Valdez, David Arturo Soriano, Azhar, Mihailo, O'Leary, Padriac, Eyre, Simon, Witbrock, Michael, Delmas, Patrice
Deep learning approaches for animal re-identification have had a major impact on conservation, significantly reducing the time required for many downstream tasks, such as well-being monitoring. We propose a method called Recurrence over Video Frames
Externí odkaz:
http://arxiv.org/abs/2406.13002
Background: As a core practice in software engineering, the nature of code review has been frequently subject to research. Prior exploratory studies found that code review, the discussion around a code change among humans, forms a communication netwo
Externí odkaz:
http://arxiv.org/abs/2406.12553