Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics

Carlos Fernandez-Lozano, Jose A. Seoane, Pablo Mesejo, Youssef S. G. Nashed, Stefano Cagnoni, Julian Dorado

Open source

DOI
10.1007/978-3-662-44485-6_9
Published
2014
Container
Communications in Computer and Information Science
Publisher
Springer Berlin Heidelberg
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1007/978-3-662-44485-6_9,
  title = {Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics},
  author = {Carlos Fernandez-Lozano and Jose A. Seoane and Pablo Mesejo and Youssef S. G. Nashed and Stefano Cagnoni and Julian Dorado},
  year = {2014},
  journal = {Communications in Computer and Information Science},
  doi = {10.1007/978-3-662-44485-6_9},
  url = {https://doi.org/10.1007/978-3-662-44485-6_9}
}

RIS

TY  - JOUR
TI  - Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics
AU  - Carlos Fernandez-Lozano
AU  - Jose A. Seoane
AU  - Pablo Mesejo
AU  - Youssef S. G. Nashed
AU  - Stefano Cagnoni
AU  - Julian Dorado
PY  - 2014
JO  - Communications in Computer and Information Science
DO  - 10.1007/978-3-662-44485-6_9
UR  - https://doi.org/10.1007/978-3-662-44485-6_9
ER  - 

APA

Fernandez-Lozano, C., Seoane, J. A., Mesejo, P., Nashed, Y. S. G., Cagnoni, S., & Dorado, J. (2014). Texture Classification of Proteins Using Support Vector Machines and Bio-inspired Metaheuristics. Communications in Computer and Information Science. https://doi.org/10.1007/978-3-662-44485-6_9

Source records