RT Journal Article
T1 Semi-supervised generative adversarial networks with spatial coevolution for enhanced image generation and classification
A1 Toutouh-el-Alamin, Jamal
A1 Nalluru, Subhash
A1 Hemberg, Erik
A1 O’Reilly, Una-May
K1 Aprendizaje automático (Inteligencia artificial)
K1 Distribución (Teoría de probabilidades)
K1 Algoritmos computacionales
K1 Computación evolutiva
K1 Redes neuronales (Informática)
PB Elsevier
YR 2023
FD 2023-09-30
LK https://hdl.handle.net/10630/27872
UL https://hdl.handle.net/10630/27872
LA eng
NO 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
NO Funding for open access charge: Universidad de Málaga / CBUAThis   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.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026