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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting

Participants in the publication
Sara Silva (Author)
BioISI - Biosystems & Integrative Sciences Institute
 Leonardo Vanneschi (Author)
Ana I.R. Cabral (Author)
Maria J. Vasconcelos (Author)

Date of Publication
2018-04-00

Where published
Swarm and Evolutionary Computation

Publication Identifiers
ISSN - 2210-6502

Publisher
Elsevier BV

Volume
39

Starting page
323
Last page
338

Document Identifiers
DOI - https://doi.org/10.1016/j.swevo.2017.11.003
URL - http://dx.doi.org/10.1016/j.swevo.2017.11.003


Export

APA
Sara Silva, Leonardo Vanneschi, Ana I.R. Cabral, Maria J. Vasconcelos, (2018). A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting. Swarm and Evolutionary Computation, 39, 323-338. ISSN 2210-6502. eISSN . http://dx.doi.org/10.1016/j.swevo.2017.11.003

IEEE
Sara Silva, Leonardo Vanneschi, Ana I.R. Cabral, Maria J. Vasconcelos, "A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting" in Swarm and Evolutionary Computation, vol. 39, pp. 323-338, 2018. 10.1016/j.swevo.2017.11.003

BIBTEX
@article{37809, author = {Sara Silva and Leonardo Vanneschi and Ana I.R. Cabral and Maria J. Vasconcelos}, title = {A semi-supervised Genetic Programming method for dealing with noisy labels and hidden overfitting}, journal = {Swarm and Evolutionary Computation}, year = 2018, pages = {323-338}, volume = 39 }