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个人简介
Nicolás Tapia-Rivas received the B.S. and M.S. degrees in electrical engineering from the University of Chile, Santiago, Chile, in 2020.
From 2018 to 2019, he was a Research Assistant with the Complex Engineering Systems Institute. Since 2021, he has been a Data Scientist with Fintual, Santiago, and a Research Assistant with the Department of Electrical Engineering, University of Chile. He is the author of “RED: Deep recurrent neural networks for sleep EEG event detection” (International Joint Conference on Neural Networks, 2020) and “On the information plane of autoencoders” (International Joint Conference on Neural Networks, 2020). His research interests include pattern detection in electroencephalograms, characterization of information-theoretic training, review of applications in schizophrenia, and deep learning models applied to medical data.
Mr. Tapia-Rivas received several awards and honors, including the National Master Scholarship (Chile Research and Development Agency), the Emerging Leaders in the Americas Program (Canadian Bureau for International Education), and the International Mobility Scholarship (Santander Universities).
研究兴趣
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German Garcia-Jara,Angel Jimenez-Molina,Esteban Reyes,Nicolas Tapia-Rivas, Cristobal Ramos-Gomez,Jose De Grazia, Matias Sepulveda
IEEE Access (2023): 103177-103188
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