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Improving astronomical time-series classification via data augmentation with generative adversarial networks
(IOP Publishing, 2022)
Due to the latest advances in technology, telescopes with significant sky coverage will produce millions of astronomical alerts per night that must be classified both rapidly and automatically. Currently, classification ...
Evolution of Generative Adversarial Networks for the Synthesis of Biomedical Images
(Universidad Veracruzana. Instituto de Investigación en Inteligencia Artificial. Región Xalapa., 2021-06)
EsPADA: Enhanced Payload Analyzer for malware Detection robust against Adversarial threats
(ElsevierNL, 2020)
The emergent communication technologies landscape has consolidated the anomaly-based intrusion detection paradigm as one of the most prominent solutions able to discover unprecedented malicious traits. It relied on building ...
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
(Pontificia Universidad Católica del PerúPE, 2018)
3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversarial Network
(Pontificia Universidad Católica del PerúPE, 2018)
Codificación y reconstrucción de rostros con redes adversarias generativas
(Facultad de Ciencias Exactas, Ingeniería y Agrimensura. Universidad Nacional de Rosario, 2022)
Generative Adversarial Neural Networks for the generation of High Resolution Galaxy Images
(Universidad de Concepción.Departamento de Ingeniería Informática y Ciencias de la Computación, 2023)
Las imágenes de alta resolución de galaxias cercanas son difíciles de obtener ya que su
gran tamaño angular requiere varias observaciones o telescopios de alta demanda. En
este trabajo presentamos un nuevo método para ...