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SciPy 1.0: Fundamental algorithms for scientific computing in Python

P. Virtanen, R. Gommers, T. Oliphant, M. Haberland, T. Reddy, D. Cournapeau, E. Burovski, P. Peterson, W. Weckesser, J. Bright, S. van der Walt, M. Brett, J. Wilson, K. Millman, N. Mayorov, A. Nelson, E. Jones, R. Kern, E. Larson, C. Carey, İ. Polat, Y. Feng, E. Moore, J. VanderPlas, D. Laxalde, J. Perktold, R. Cimrman, I. Henriksen, E. Quintero, C. Harris, A. Archibald, A. Ribeiro, F. Pedregosa, P. van Mulbregt, and S. Contributors. Nature Methods, (March 2020)
DOI: 10.1038/s41592-019-0686-2

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Antonio Castrillón H

João António Muralha Ribeiro Farinha

Hugo Ribeiro

Andrea Ribeiro

Horst Ribeiro

Other publications of authors with the same name

"Parallel Training Considered Harmful?": Comparing series-parallel and parallel feedforward network training.A. Ribeiro, and L. Aguirre. Neurocomputing, (2018)On Merging Feature Engineering and Deep Learning for Diagnosis, Risk-Prediction and Age Estimation Based on the 12-Lead ECG.E. Zvuloni, J. Read, A. Ribeiro, A. Ribeiro, and J. Behar. CoRR, (2022)End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks.T. Habineza, A. Ribeiro, D. Gedon, J. Behar, A. Ribeiro, and T. Schön. CoRR, (2023)On the Smoothness of Nonlinear System Identification.A. Ribeiro, K. Tiels, J. Umenberger, T. Schön, and L. Aguirre. CoRR, (2019)Beyond Occam's Razor in System Identification: Double-Descent when Modeling Dynamics.A. Ribeiro, J. Hendriks, A. Wills, and T. Schön. CoRR, (2020)Regularization properties of adversarially-trained linear regression.A. Ribeiro, D. Zachariah, F. Bach, and T. Schön. CoRR, (2023)Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study.A. Ribeiro, M. Ribeiro, G. Paixão, D. de Oliveira, P. Gomes, J. Canazart, M. Ferreira, C. Andersson, P. Macfarlane, W. Jr. and 2 other author(s). CoRR, (2019)"Parallel Training Considered Harmful?": Comparing Series-Parallel and Parallel Feedforward Network Training.A. Ribeiro, and L. Aguirre. CoRR, (2017)SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python.P. Virtanen, R. Gommers, T. Oliphant, M. Haberland, T. Reddy, D. Cournapeau, E. Burovski, P. Peterson, W. Weckesser, J. Bright and 25 other author(s). CoRR, (2019)Explaining End-to-End ECG Automated Diagnosis Using Contextual Features.D. de Oliveira, A. Ribeiro, J. Pedrosa, G. Paixão, A. Ribeiro, and W. Jr.. ECML/PKDD (5), volume 12461 of Lecture Notes in Computer Science, page 204-219. Springer, (2020)

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Disambiguation of "Ribeiro, Antônio H."

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SciPy 1.0: Fundamental algorithms for scientific computing in Python

Please choose a person to relate this publication to

Antonio Castrillón H

João António Muralha Ribeiro Farinha

Hugo Ribeiro

Andrea Ribeiro

Horst Ribeiro

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ribeiro, Antônio H."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML SciPy 1.0: Fundamental algorithms for scientific computing in Python

Please choose a person to relate this publication to

Antonio Castrillón H

João António Muralha Ribeiro Farinha

Hugo Ribeiro

Andrea Ribeiro

Horst Ribeiro

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
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SciPy 1.0: Fundamental algorithms for scientific computing in Python