Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Sebastian Garcia Lopez"'
Publikováno v:
PLoS ONE, Vol 9, Iss 9, p e107353 (2014)
Advances in sequencing have led to a rapid accumulation of mutations, some of which are associated with diseases. However, to draw mechanistic conclusions, a biochemical understanding of these mutations is necessary. For coding mutations, accurate pr
Externí odkaz:
https://doaj.org/article/6e6fb2cb5bf94ec58f35a250b9f2a400
Autor:
Paula Andrea Rodriguez-Marin, Andrés Felipe Giraldo-Forero, Oscar Cardona, Juan Pablo Martinez, Juan Acosta, Sebastian Garcia-Lopez, Luis Carlos Trujillo, Yohan Ricardo Céspedes-Villar
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030339036
CIARP
CIARP
The analysis of urban dynamics has taken on a fundamental role in recent years, even more so considering the accelerated population growth of cities throughout the world. Within this dynamic, one of the most important tasks is urban planning, being a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::578d01fd0d8263d611e74b1b77fe2a1c
https://doi.org/10.1007/978-3-030-33904-3_48
https://doi.org/10.1007/978-3-030-33904-3_48
Publikováno v:
Biomedical Engineering Systems and Technologies ISBN: 9783662444849
BIOSTEC (Selected Papers)
BIOSTEC (Selected Papers)
The prediction of unknown protein functions is one of the main concerns at field of computational biology. This fact is reflected specifically in the prediction of molecular functions such as catalytic and binding activities. This, along with the mas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::951b85bf1f0defee2be550238a94753c
https://doi.org/10.1007/978-3-662-44485-6_15
https://doi.org/10.1007/978-3-662-44485-6_15
Publikováno v:
Scopus-Elsevier
EMBC
EMBC
Learning from imbalanced data sets presents an important challenge to the machine learning community. Traditional classification methods, seeking to minimize the overall error rate of the whole training set, do not perform well on imbalanced data sin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0581e9722cba4094db09146f40a1016
https://pubmed.ncbi.nlm.nih.gov/23367372
https://pubmed.ncbi.nlm.nih.gov/23367372
Autor:
Germán Castellanos-Domínguez, J. A. Jaramillo-Garzon, Sebastian Garcia-Lopez, C.C. Ceballes-Serrano
Publikováno v:
2012 XVII Symposium of Image, Signal Processing, and Artificial Vision (STSIVA).
Learning from imbalanced data has taken great interest on machine learning community because it is often present on many practical applications and reliability of learning algorithms is affected. A dataset is imbalanced if there is a great difference
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::428cc92b075941238c7c09c730f29ef2
https://doi.org/10.1109/stsiva.2012.6340585
https://doi.org/10.1109/stsiva.2012.6340585