GANexo: A Novel Framework for Synthetic Exoplanet Signal Generation, Noise Removal, and Characterization Based on Generative Learning

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	Undefined/Unknown
Title of host publication	2024 IEEE 6th International Conference on BioInspired Processing (BIP)
DOIs	https://doi.org/10.1109/bip63158.2024.10885398
State	Published - 4 Dec 2024

Access to Document

@inproceedings{d771813a8bd54ddfae32be8e52876635,

title = "GANexo: A Novel Framework for Synthetic Exoplanet Signal Generation, Noise Removal, and Characterization Based on Generative Learning",

author = "Felipe Meza-Obando and Crespo-Mari{\~n}o, \{Juan Luis\}",

year = "2024",

month = dec,

day = "4",

doi = "10.1109/bip63158.2024.10885398",

language = "Indefinido/desconocido",

booktitle = "2024 IEEE 6th International Conference on BioInspired Processing (BIP)",

}

TY - GEN

T1 - GANexo: A Novel Framework for Synthetic Exoplanet Signal Generation, Noise Removal, and Characterization Based on Generative Learning

AU - Meza-Obando, Felipe

AU - Crespo-Mariño, Juan Luis

PY - 2024/12/4

Y1 - 2024/12/4

UR - http://dx.doi.org/10.1109/bip63158.2024.10885398

U2 - 10.1109/bip63158.2024.10885398

DO - 10.1109/bip63158.2024.10885398

M3 - Contribución a la conferencia

BT - 2024 IEEE 6th International Conference on BioInspired Processing (BIP)

ER -