Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Victoria E. Sánchez"'
Publikováno v:
ICASSP
The purpose of signal extrapolation is to estimate unknown signal parts from known samples. This task is especially important for error concealment in image and video communication. For obtaining a high quality reconstruction, assumptions have to be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5f43e2faf2f784eddbf2bf54e458c2b
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)
Digibug. Repositorio Institucional de la Universidad de Granada
Consorcio Madroño
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-21 (2021)
Digibug. Repositorio Institucional de la Universidad de Granada
Consorcio Madroño
Background Current state-of-the-art deep learning approaches for protein fold recognition learn protein embeddings that improve prediction performance at the fold level. However, there still exists aperformance gap at the fold level and the (relative
Autor:
Angel M. Gomez, Roeland C. H. J. van Ham, Amelia Villegas-Morcillo, Victoria E. Sánchez, Stavros Makrodimitris, Marcel J. T. Reinders
Publikováno v:
Digibug: Repositorio Institucional de la Universidad de Granada
Universidad de Granada (UGR)
Bioinformatics
Bioinformatics, 37(2)
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Universidad de Granada (UGR)
Bioinformatics
Bioinformatics, 37(2)
Digibug. Repositorio Institucional de la Universidad de Granada
instname
This work was supported by Keygene N.V., a crop innovation company in the Netherlands and by the Spanish MINECO/FEDER Project TEC201680141-P with the associated FPI grant BES-2017-079792.
The authors thank Dr. Elvin Isufi and Chirag Raman for th
The authors thank Dr. Elvin Isufi and Chirag Raman for th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fb821b61244702a2612025188e59b11
http://hdl.handle.net/10481/69200
http://hdl.handle.net/10481/69200
Publikováno v:
Signal Processing: Image Communication. 55:41-54
In this paper we carry out a statistical analysis of a multivariate minimum mean square error (MMSE) estimator developed from a nonparametric kernel-based probability density function. This kernel-based MMSE (KMMSE) estimation has been recently propo
Autor:
Victoria E. Sánchez, Francisco Gonzalez-Lopez, Amelia Villegas-Morcillo, Angel M. Gomez, Juan A. Morales-Cordovilla
Publikováno v:
BIBM
Protein-Protein interactions (PPIs) are key to many important life processes, such as cancer replication or DNA transcription. While in vivo or in vitro methods for PPI screening exist, they are expensive and computational approaches have been propos
Publikováno v:
IEEE Transactions on Multimedia. 18:1245-1256
The importance of packet-based speech transmissions has grown since it offers cheaper and efficient communications. However, frame erasures are a common hurdle in these networks and concealment techniques are necessary to ensure a minimum quality of
Publikováno v:
EUSIPCO
A protein contact map is a simplified matrix representation of the protein structure, where the spatial proximity of two amino acid residues is reflected. Although the accurate prediction of protein inter-residue contacts from the amino acid sequence
Autor:
Oscar Olvera-Montaño, Leopoldo Martín Baiza-Durán, Félix Gil-Carrasco, Jose A Paczka, Victoria E Sánchez-Castellanos, Curt Hartleben, Patricia Muñoz-Villegas, Alejandra Sanchez-Rios, Francisco Gomez-Aguayo
Publikováno v:
New Frontiers in Ophthalmology. 4
Autor:
Concepcion Iribar, Victoria E. Sánchez, Jose M. Peinado, Antonio M. Peinado, Juan A. Morales-Cordovilla, Juan D. Clares
Publikováno v:
TSP
With the explosion of protein sequences generated in the postgenomic era, there is a need for the development of computational methods to characterize and classify them as an alternative to the experimental methods that are expensive and time consumi
Publikováno v:
IEEE Transactions on Multimedia. 16:1729-1738
This paper proposes a novel approach for multimedia signal reconstruction based on kernel density estimation (KDE). We make use of a vector formalism in which vectors consist of a first subvector containing a set of missing samples and a second one c