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pro vyhledávání: '"Rodríguez gonzález, A."'
A considerable number of asymptotic giant branch (AGB) stars exhibit UV excess and/or X-ray emission indicative of the presence of a binary companion. AGB stars are so bright that they easily outshine their companions, making almost impossible their
Externí odkaz:
http://arxiv.org/abs/2411.14270
Autor:
Krithara, Anastasia, Aisopos, Fotis, Rentoumi, Vassiliki, Nentidis, Anastasios, Bougatiotis, Konstantinos, Vidal, Maria-Esther, Menasalvas, Ernestina, Rodriguez-Gonzalez, Alejandro, Samaras, Eleftherios G., Garrard, Peter, Torrente, Maria, Pulla, Mariano Provencio, Dimakopoulos, Nikos, Mauricio, Rui, De Argila, Jordi Rambla, Tartaglia, Gian Gaetano, Paliouras, George
Publikováno v:
2019 IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS), Cordoba, Spain, 2019, pp. 106-111
The vision of IASIS project is to turn the wave of big biomedical data heading our way into actionable knowledge for decision makers. This is achieved by integrating data from disparate sources, including genomics, electronic health records and bibli
Externí odkaz:
http://arxiv.org/abs/2407.06748
Autor:
Benítez-Andrades, José Alberto, Rodríguez-González, Alejandro, Benavides, Carmen, Sánchez-Valdeón, Leticia, García, Isaías
Publikováno v:
Int. J. Environ. Res. Public Health 2018, 15(11), 2420
Social Network Analysis (SNA) is a set of techniques developed in the field of social and behavioral sciences research, in order to characterize and study the social relationships that are established among a set of individuals. When building a socia
Externí odkaz:
http://arxiv.org/abs/2402.12390
Autor:
Benítez-Andrades, José Alberto, García-Rodríguez, Isaías, Benavides, Carmen, Alaiz-Moretón, Héctor, Rodríguez-González, Alejandro
Publikováno v:
Future Generation Computer Systems, Volume 106, May 2020, Pages 154-170
Alcohol Use Disorder (AUD) is a major concern for public health organizations worldwide, especially as regards the adolescent population. The consumption of alcohol in adolescents is known to be influenced by seeing friends and even parents drinking
Externí odkaz:
http://arxiv.org/abs/2402.10967
Autor:
Meliani, Z., Cristofari, P., Rodriguez-Gonzalez, A., de Clairfontaine, G. Fichet, Proust, E., Peretti, E.
Context. The galactic winds of starburst galaxies (SBGs) give rise to remarkable structures on kiloparsec scales. However, the evolution and shape of these giant wind bubbles, as well as the properties of the shocks they develop, are not yet fully un
Externí odkaz:
http://arxiv.org/abs/2402.01541
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-3-2024, Pp 371-375 (2024)
This study evaluates four Machine Learning Algorithms—Random Forest (RF), K-Means Clustering, Support Vector Machine (SVM), and Classification and Regression Trees (CART)—for precise land use and land cover (LULC) classification in the Monterrey
Externí odkaz:
https://doaj.org/article/5cb12997ea784b1e80000536a6dfe32c
Autor:
Rodríguez-González, Ary, Peña, Miriam, Hernández-Martínez, Liliana, Ruiz-Escobedo, Francisco, Raga, Alejandro, Stasińska, Grazyna, Castorena, Jorge Ivan
Publikováno v:
ApJ, 2023
We have studied the evolution of HuBi 1-like planetary nebulae, considering several stages of mass injection. We have carried out numerical ionization+1D hydrodynamics+atomic/ionic rate models with our code Coral 1D to reproduce planetary nebulae tha
Externí odkaz:
http://arxiv.org/abs/2308.13190
Autor:
Gómez-Bravo, Daniel, García, Aaron, Vigueras, Guillermo, Ríos, Belén, Rodríguez-González, Alejandro
Pattern discovery is a machine learning technique that aims to find sets of items, subsequences, or substructures that are present in a dataset with a higher frequency value than a manually set threshold. This process helps to identify recurring patt
Externí odkaz:
http://arxiv.org/abs/2307.15089
Autor:
Rodriguez-Gonzalez, Arnaldo
This work describes the way that topological mixing and chaos in continua, as induced by discrete dynamical systems, can or can't be understood through topological conjugacy with symbolic dynamical systems. For example, there is no symbolic dynamical
Externí odkaz:
http://arxiv.org/abs/2304.02820
Autor:
Oprea, Maria, Walth, Mark, Stephany, Robert, Nothaft, Gabriella Torres, Rodriguez-Gonzalez, Arnaldo, Clark, William
The intersection of machine learning and dynamical systems has generated considerable interest recently. Neural Ordinary Differential Equations (NODEs) represent a rich overlap between these fields. In this paper, we develop a continuous time neural
Externí odkaz:
http://arxiv.org/abs/2304.01329