Zobrazeno 1 - 10
of 1 435
pro vyhledávání: '"Pena, Jose"'
Autor:
Hussain, Sadam, Ali, Mansoor, Naseem, Usman, Palomo, Beatriz Alejandra Bosques, Molina, Mario Alexis Monsivais, Abdala, Jorge Alberto Garza, Avalos, Daly Betzabeth Avendano, Cardona-Huerta, Servando, Gulliver, T. Aaron, Pena, Jose Gerardo Tamez
Rising breast cancer (BC) occurrence and mortality are major global concerns for women. Deep learning (DL) has demonstrated superior diagnostic performance in BC classification compared to human expert readers. However, the predominant use of unimoda
Externí odkaz:
http://arxiv.org/abs/2410.10146
Autor:
Peña, Jose M.
We report assumption-free bounds for any contrast between the probabilities of the potential outcome under exposure and non-exposure when the confounders are missing not at random. We assume that the missingness mechanism is outcome-independent. We a
Externí odkaz:
http://arxiv.org/abs/2410.06726
Publikováno v:
Swarm and Evolutionary Computation, vol. 75, p. 101176, Dec. 2022
Heuristic optimisation algorithms explore the search space by sampling solutions, evaluating their fitness, and biasing the search in the direction of promising solutions. However, in many cases, this fitness function involves executing expensive com
Externí odkaz:
http://arxiv.org/abs/2410.03409
Publikováno v:
Expert Systems with Applications, vol. 183, p. 115443, Nov. 2021
Background Analyzing images to accurately estimate the number of different cell types in the brain using automatic methods is a major objective in neuroscience. The automatic and selective detection and segmentation of neurons would be an important s
Externí odkaz:
http://arxiv.org/abs/2410.03248
Autor:
LaTorre, Antonio, Kwong, Man Ting, García-Grajales, Julián A., Shi, Riyi, Jérusalem, Antoine, Peña, José-María
Publikováno v:
Journal of Computational Science, vol. 39, p. 101053, Jan. 2020
Neuronal damage, in the form of both brain and spinal cord injuries, is one of the major causes of disability and death in young adults worldwide. One way to assess the direct damage occurring after a mechanical insult is the simulation of the neuron
Externí odkaz:
http://arxiv.org/abs/2409.12567
Autor:
Peña, Jose M.
We extend our previous work on sensitivity analysis for the risk ratio and difference contrasts under unmeasured confounding to any contrast. We prove that the bounds produced are still arbitrarily sharp, i.e. practically attainable. We illustrate th
Externí odkaz:
http://arxiv.org/abs/2406.07940
Explaining social events is a primary objective of applied data-driven sociology. To achieve that objective, many sociologists use statistical causal inference to identify causality using observational studies research context where the analyst does
Externí odkaz:
http://arxiv.org/abs/2311.13410
Autor:
Peña, Jose M.
This work is devoted to the study of the probability of immunity, i.e. the effect occurs whether exposed or not. We derive necessary and sufficient conditions for non-immunity and $\epsilon$-bounded immunity, i.e. the probability of immunity is zero
Externí odkaz:
http://arxiv.org/abs/2309.11942
Autor:
Peña, Jose M.
There are a number of measures of direct and indirect effects in the literature. They are suitable in some cases and unsuitable in others. We describe a case where the existing measures are unsuitable and propose new suitable ones. We also show that
Externí odkaz:
http://arxiv.org/abs/2306.01292
Autor:
Peña, Jose M.
We present two methods for bounding the probabilities of benefit and harm under unmeasured confounding. The first method computes the (upper or lower) bound of either probability as a function of the observed data distribution and two intuitive sensi
Externí odkaz:
http://arxiv.org/abs/2303.05396