Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification

Author:

Santana Roberto1ORCID,Hidago-Cenalmor Iván1ORCID,Garciarena Unai1ORCID,Mendiburu Alexander1ORCID,Lozano Jose Antonio1ORCID

Affiliation:

1. University of the Basque Country, San Sebastian, Spain

Funder

Basque Government

Spanish Ministry of Science, Innovation and Universities

Publisher

ACM

Reference13 articles.

1. Martín Abadi , Paul Barham , Jianmin Chen , Zhifeng Chen , Andy Davis , Jeffrey Dean , Matthieu Devin , Sanjay Ghemawat , Geoffrey Irving , Michael Isard , 2016 . Tensorflow: a system for large-scale machine learning . In Osdi , Vol. 16 . Savannah, GA, USA, 265--283. Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. 2016. Tensorflow: a system for large-scale machine learning. In Osdi, Vol. 16. Savannah, GA, USA, 265--283.

2. Semi-supervised genetic programming for classification

3. The Balanced Accuracy and Its Posterior Distribution

4. GEML: Evolutionary Unsupervised and Semi-Supervised Learning of Multi-class Classification with Grammatical Evolution

5. Unai Garciarena , Roberto Santana , and Alexander Mendiburu . 2018 . EvoFlow: A Python library for evolving deep neural network architectures in tensorflow . In Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI-2020) (Camberra, Australia). IEEE, 2288--2295. https://ieeexplore.ieee.org/document/9308214 Unai Garciarena, Roberto Santana, and Alexander Mendiburu. 2018. EvoFlow: A Python library for evolving deep neural network architectures in tensorflow. In Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence (SSCI-2020) (Camberra, Australia). IEEE, 2288--2295. https://ieeexplore.ieee.org/document/9308214

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