Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Saúl Calderón Ramírez"'
Publikováno v:
Mathematics, Vol 12, Iss 19, p 3153 (2024)
This paper proposes a novel method capable of both detecting OOD data and generating in-distribution data samples. To achieve this, a VAE model is adopted and augmented with a memory module, providing capacities for identifying OOD data and synthesis
Externí odkaz:
https://doaj.org/article/7a3825705ed94d06bc662a966a14c6b1
Autor:
Ricardo Javier Fuentes-Fino, Saúl Calderón-Ramírez, Enrique Domínguez, Ezequiel López-Rubio, Marco A. Hernandez-Vasquez, Miguel A. Molina-Cabello
Publikováno v:
Bioinformatics and Biomedical Engineering ISBN: 9783031078019
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::426db965de25b4419271e92f035916e0
https://doi.org/10.1007/978-3-031-07802-6_32
https://doi.org/10.1007/978-3-031-07802-6_32
Autor:
Indranil Balki, Dehan Kong, Afsaneh Amirabadi, Anne L. Martel, Pascal N. Tyrrell, Alan R. Moody, Jacob Levman, Ziga Emersic, Saúl Calderón Ramírez, Blaz Meden, Angel Garcia-Pedrero
Publikováno v:
Canadian Association of Radiologists Journal. 70:344-353
Purpose The required training sample size for a particular machine learning (ML) model applied to medical imaging data is often unknown. The purpose of this study was to provide a descriptive review of current sample-size determination methodologies
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783319751924
CIARP
CIARP
In this paper we propose an efficient implementation of the Deceived Non Local Means filter, using Integral Images and the Fast Fourier Transform, named DNLM-IFFT. The deceived non local means filter is part of the Deceived Weighted Averaging Filter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f74bdc4f1c899bb7a3448774e7f4c0f1
https://doi.org/10.1007/978-3-319-75193-1_16
https://doi.org/10.1007/978-3-319-75193-1_16
Publikováno v:
Kérwá
Universidad de Costa Rica
instacron:UCR
Universidad de Costa Rica
instacron:UCR
artículo -- Universidad de Costa Rica, Centro de Investigación en Tecnología de la Información y Comunicación. 2013. Este artículo es privado debido a limitaciones de derechos de autor. In this work we implement a parallel version of the pitch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::346fcc2cf909498f0ab67a86cd6719b4
http://www.actapress.com/Abstract.aspx?paperId=455433
http://www.actapress.com/Abstract.aspx?paperId=455433