Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Boechi, Leonardo"'
Autor:
Barrera, Yamila, Boechi, Leonardo, Jonckheere, Matthieu, Lefieux, Vincent, Picard, Dominique, Smucler, Ezequiel, Somacal, Agustin, Umfurer, Alfredo
The Reseau de Transport d'Electricit\'e (RTE) is the French main electricity network operational manager and dedicates large number of resources and efforts towards understanding climate time series data. We discuss here the problem and the methodolo
Externí odkaz:
http://arxiv.org/abs/2012.07487
Autor:
Somacal, Agustín, Barrera, Yamila, Boechi, Leonardo, Jonckheere, Matthieu, Lefieux, Vincent, Picard, Dominique, Smucler, Ezequiel
SINDy is a method for learning system of differential equations from data by solving a sparse linear regression optimization problem [Brunton et al., 2016]. In this article, we propose an extension of the SINDy method that learns systems of different
Externí odkaz:
http://arxiv.org/abs/2002.02250
Autor:
Barrera, Yamila, Boechi, Leonardo, Jonckheere, Matthieu, Lefieux, Vincent, Picard, Dominique, Smucler, Ezequiel, Somacal, Agustín, Umfurer, Alfredo
Publikováno v:
In International Journal of Approximate Reasoning December 2021 139:1-11
Akademický článek
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Autor:
Capece, Luciana, Boechi, Leonardo, Perissinotti, Laura L., Arroyo-Mañez, Pau, Bikiel, Damián E., Smulevich, Giulietta, Marti, Marcelo A., Estrin, Dario A.
Publikováno v:
In BBA - Proteins and Proteomics September 2013 1834(9):1722-1738
Publikováno v:
In Journal of Inorganic Biochemistry February 2013 119:75-84
Autor:
Arroyo-Mañez, Pau, Bikiel, Damián E., Boechi, Leonardo, Capece, Luciana, Di Lella, Santiago, Estrin, Darío A., Martí, Marcelo A., Moreno, Diego M., Nadra, Alejandro D., Petruk, Ariel A.
Publikováno v:
In BBA - Proteins and Proteomics 2011 1814(8):1054-1064
Autor:
Arrar, Mehrnoosh, Belloli, Laouen Mayal Louan, Bianco, Ana María, Boechi, Leonardo, Castro, Rodrigo Daniel, Duran, Guillermo Alfredo, Etchenique, Roberto Argentino, Fernández, Natalia Brenda, Ferrer, Luciana, Garbervetsky, Diego David, Goldsmit, Rodrigo, Grillo, Carolina, Kamienkowsk, Juan E., Laciana, Pablo, Lanzarotti, Esteban, Lozano, Mario Enrique, Maidana, Rodrigo, Mendiluce, Mauricio, Minoldo, Sol, Daniel Pecker Marcosig, Ezequiel Puerta, Ezequiel Quiroga, Rodrigo Solovey, Guillermo Valdora, Marina Silvia Zapatero, Mariano, Pepino, Leonardo Daniel, Pecker Marcosig, Ezequiel, Puerta, Ezequiel, Quiroga, Rodrigo, Solovey, Guillermo, Valdora, Marina Silvia, Zapatero, Mariano
Publikováno v:
Repositorio Digital Universitario (UNC)
Universidad Nacional de Córdoba
instacron:UNC
Universidad Nacional de Córdoba
instacron:UNC
With the arrival of the pandemic in Argentina in March 2020, a working group of scientists from two institutes belonging to the Faculty of Exact and Natural Sciences of the University of Buenos Aires and CONICET, together with colleagues from differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3056::4087fb9cfe76930cdea70aadcf74658c
http://www.scirevfew.net/index.php/sciencereviews/article/view/38
http://www.scirevfew.net/index.php/sciencereviews/article/view/38
Autor:
Arrar, Mehrnoosh, Belloli, Laouen Mayal Louan, Bianco, Ana Maria, Boechi, Leonardo, Castro, Rodrigo Daniel, Duran, Guillermo Alfredo, Etchenique, Roberto Argentino, Fernández, Natalia Brenda, Ferrer, Luciana, Garbervetsky, Diego David, Goldsmit, Rodrigo, Grillo, Carolina, Maidana, Rodrigo, Mendiluce, Mauricio, Minoldo, Sol, Pepino, Leonardo Daniel, Pecker Marcosig, Ezequiel, Puerta, Ezequiel, Quiroga, Rodrigo, Solovey, Guillermo, Valdora, Marina Silvia, Zapatero, Mariano
Publikováno v:
Repositorio Digital Universitario (UNC)
Universidad Nacional de Córdoba
instacron:UNC
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Universidad Nacional de Córdoba
instacron:UNC
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Con la llegada de la pandemia a la Argentina, en marzo de 2020, se creó un grupo multidisciplinario con base en la Universidad de Buenos Aires y amplia trayectoria y experiencia en el desarrollo e investigación de herramientas matemático-computaci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::db33ae7aa438cbab0e66800ae745e970
http://www.dii.uchile.cl/ris/tabla.php
http://www.dii.uchile.cl/ris/tabla.php
Autor:
Somacal, Agust��n, Barrera, Yamila, Boechi, Leonardo, Jonckheere, Matthieu, Lefieux, Vincent, Picard, Dominique, Smucler, Ezequiel
SINDy is a method for learning system of differential equations from data by solving a sparse linear regression optimization problem [Brunton et al., 2016]. In this article, we propose an extension of the SINDy method that learns systems of different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f248128912022e932e40b24cc50c5729
http://arxiv.org/abs/2002.02250
http://arxiv.org/abs/2002.02250