Search Results for author: R. Molina

Found 2 papers, 1 papers with code

Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection

1 code implementation21 Mar 2024 F. M. Castro-Macías, P. Morales-Álvarez, Y. Wu, R. Molina, A. K. Katsaggelos

This approach yields the same variational posterior approximations as the original VGPMIL, which is a consequence of the two representations that the Hyperbolic Secant distribution admits.

Gaussian Processes Multiple Instance Learning +1

Sequential single pion production explaining the dibaryon "$d^*(2380)$" peak

no code implementations10 Feb 2021 R. Molina, N. Ikeno, E. Oset

We study the two step sequential one pion production mechanism, $np(I=0)\to \pi^-pp$, followed by the fusion reaction $pp\to \pi^+d$, in order to describe the $np\to \pi^+\pi^-d$ reaction with $\pi^+\pi^-$ in $I=0$, where a narrow peak, so far identified with a "$d(2380)$" dibaryon, has been observed.

Nuclear Theory High Energy Physics - Experiment High Energy Physics - Phenomenology

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