Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification
| dc.centro | E.T.S.I. Informática | es_ES |
| dc.contributor.author | Toutouh-el-Alamin, Jamal | |
| dc.contributor.author | Nalluru, Subhash | |
| dc.contributor.author | Hemberg, Erik | |
| dc.contributor.author | O’Reilly, Una-May | |
| dc.date.accessioned | 2023-10-19T13:22:37Z | |
| dc.date.available | 2023-10-19T13:22:37Z | |
| dc.date.created | 2023 | |
| dc.date.issued | 2023-09-30 | |
| dc.departamento | Lenguajes y Ciencias de la Computación | |
| dc.description.sponsorship | Funding for open access charge: Universidad de Málaga / CBUA This research was partially funded by the Universidad de Málaga; the project PID 2020-116727RB-I00 (HUmove) funded by MCIN/AEI/10.13039/501100011033; TAILOR ICT-48 Network (No.952215) funded by EU Horizon 2020 research and innovation pro-gramme; and by Universidad de Málaga (grant B1-2022_18). TheSystems that learn initiative at MIT CSAIL. | es_ES |
| dc.identifier.citation | Jamal Toutouh, Subhash Nalluru, Erik Hemberg, and Una-May O’Reilly. 2023.Semi-Supervised Learning with Coevolutionary Generative AdversarialNetworks. InGenetic and Evolutionary Computation Conference (GECCO’23), July 15–19, 2023, Lisbon, Portugal.ACM, New York, NY, USA, 12 pages.https://doi.org/10.1145/3583131.3590426 | es_ES |
| dc.identifier.doi | doi.org/10.1145/3583131.3590426 | |
| dc.identifier.uri | https://hdl.handle.net/10630/27872 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Elsevier | es_ES |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Aprendizaje automático (Inteligencia artificial) | es_ES |
| dc.subject | Distribución (Teoría de probabilidades) | es_ES |
| dc.subject | Algoritmos computacionales | es_ES |
| dc.subject | Computación evolutiva | es_ES |
| dc.subject | Redes neuronales (Informática) | es_ES |
| dc.subject.other | Spatial distribution | es_ES |
| dc.subject.other | Coevolution | es_ES |
| dc.subject.other | Semi supervised learning | es_ES |
| dc.subject.other | Generative adversarial network | es_ES |
| dc.title | Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification | es_ES |
| dc.type | journal article | es_ES |
| dc.type.hasVersion | VoR | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | a18a3827-4066-4bb2-9338-7e7510191857 | |
| relation.isAuthorOfPublication.latestForDiscovery | a18a3827-4066-4bb2-9338-7e7510191857 |
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