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pro vyhledávání: '"Echeveste P"'
Autor:
Ferrante, Enzo, Echeveste, Rodrigo
Recently, the research community of computerized medical imaging has started to discuss and address potential fairness issues that may emerge when developing and deploying AI systems for medical image analysis. This chapter covers some of the pressin
Externí odkaz:
http://arxiv.org/abs/2407.16953
We revisit the evolution of low-mass close binary systems under different magnetic braking (MB) prescriptions. We study binaries with a neutron star accretor. During mass transfer episodes, these systems emit X-rays and are known as Low Mass X-ray Bi
Externí odkaz:
http://arxiv.org/abs/2404.16185
Deep learning methods are increasingly becoming instrumental as modeling tools in computational neuroscience, employing optimality principles to build bridges between neural responses and perception or behavior. Developing models that adequately repr
Externí odkaz:
http://arxiv.org/abs/2404.15390
It has recently been shown that deep learning models for anatomical segmentation in medical images can exhibit biases against certain sub-populations defined in terms of protected attributes like sex or ethnicity. In this context, auditing fairness o
Externí odkaz:
http://arxiv.org/abs/2309.00451
In recent years the development of artificial intelligence (AI) systems for automated medical image analysis has gained enormous momentum. At the same time, a large body of work has shown that AI systems can systematically and unfairly discriminate a
Externí odkaz:
http://arxiv.org/abs/2305.05101
Autor:
Devin P. Effinger, Jessica L. Hoffman, Sarah E. Mott, Sarah N. Magee, Sema G. Quadir, Christian S. Rollison, Daniel Toedt, Maria Echeveste Sanchez, Margaret W. High, Clyde W. Hodge, Melissa A. Herman
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Psychedelics have experienced renewed interest following positive clinical effects, however the neurobiological mechanisms underlying effects remain unclear. The paraventricular nucleus of the hypothalamus (PVN) plays an integral role in str
Externí odkaz:
https://doaj.org/article/5c9edec683a641259bc478837e518a8c
Autor:
Bharti Sharma, Mankirat Kaur Pandher, Ana Quetzali Alcaraz Echeveste, Rene Kenny Romo, Marianellie Bravo
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
The complex zygomorphic flowers of the early-diverging eudicot Delphinium provide an opportunity to explore intriguing evolutionary, developmental, and genetic questions. The dorsal perianth organs, consisting of a spurred sepal and the nectar-bearin
Externí odkaz:
https://doaj.org/article/8593625fec294f6d91cc90d860118d5b
The standard model of stellar evolution in Close Binary Systems assumes that during mass transfer episodes the system is in a synchronised and circularised state. Remarkably, the redback system PSR J1723-2837 has an orbital period derivative $\dot{P}
Externí odkaz:
http://arxiv.org/abs/2109.13985
In real-life applications, machine learning models often face scenarios where there is a change in data distribution between training and test domains. When the aim is to make predictions on distributions different from those seen at training, we inc
Externí odkaz:
http://arxiv.org/abs/2108.01621
Theories for autism spectrum disorder (ASD) have been formulated at different levels: ranging from physiological observations to perceptual and behavioral descriptions. Understanding the physiological underpinnings of perceptual traits in ASD remains
Externí odkaz:
http://arxiv.org/abs/2106.04366