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Mostrando resultados 1 a 12 de 12
Fecha de publicaciónTítuloAutor(es)
2021A multi-scale a contrario method for unsupervised image anomaly detectionTailanian, Matias; Musé, Pablo; Pardo, Álvaro
2023A novel strategy for wind power forecast through neural networks : Applications to the uruguayan electricity systemFlieller Alfonso, Guillermo Francisco; Solari, Alfredo; Bruno Cotelo, Rafael; Chaer, Ruben
2018Genetic algorithm applied to the specialization of neural networks for the forecast of wind and solar generationVallejo, Damián; Cornalino, Eliana; Chaer, Ruben
2022Learning the optimal joint operation of the energy systems of Uruguay, Brazil, Paraguay and ArgentinaChaer, Ruben; Ramírez Paulino, Ignacio; Camacho, Vanina; Caporale, Ximena; Casaravilla, Gonzalo
2023Multiplicative processing in the modeling of cognitive activities in large neural networksValle Lisboa, Juan C.; Pomi, Andrés; Mizraji Nathan, Eduardo Jacobo
2023NILMEV : Electric Vehicle disaggregation for residential customer energy efficiency incentivesMariño, Camilo; Cossio, Guillermo; Massaferro Saquieres, Pablo; Di Martino, Matías; Gómez, Alvaro; Fernández, Alicia
2017Not afraid of the dark : NIR-VIS face recognition via cross-spectral hallucination and low-rank embeddingSapiro, Guillermo; Qiu, Qiang; Lezama, José
2018OLE : orthogonal low-rank embedding, a plug and play geometric loss for deep learningLezama, José; Qiu, Qiang; Musé, Pablo; Sapiro, Guillermo
2021Redes neuronales artificiales para la predicción de flujos de carga aplicadas al sistema de trasmisión de UruguayGarabedián, Santiago; Porteiro, Rodrigo; Pena, Pablo
2020Spike transmission between electrically coupled sensory neurons is improved by filter properties.Davoine, Federico; Curti, Sebastián; Monzón, Pablo
2020Statistical Deep parsing for spanishChiruzzo, Luis
1999Training guidelines for neural networks to estimate stability regionsFerreira, Enrique; Krogh, Bruce