Zobrazeno 1 - 10
of 2 190
pro vyhledávání: '"Gonzalez, Alejandro"'
We study algorithms to analyze a particular class of Markov population processes that is often used in epidemiology. More specifically, Markov binomial chains are the model that arises from stochastic time-discretizations of classical compartmental m
Externí odkaz:
http://arxiv.org/abs/2408.04902
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:
Khoche, Ajinkya, Asefaw, Aron, Gonzalez, Alejandro, Timus, Bogdan, Mansouri, Sina Sharif, Jensfelt, Patric
Data annotation in autonomous vehicles is a critical step in the development of Deep Neural Network (DNN) based models or the performance evaluation of the perception system. This often takes the form of adding 3D bounding boxes on time-sequential an
Externí odkaz:
http://arxiv.org/abs/2403.18649
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:
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
We study the instability of a thin film composed of two miscible fluids (binary fluid) placed on a solid planar surface. We include the fact that both the free surface and wetting energies depend on the mixture concentration. By assuming a linear rel
Externí odkaz:
http://arxiv.org/abs/2303.13658
Autor:
Blanco-Gonzalez, Alexandre, Cabezon, Alfonso, Seco-Gonzalez, Alejandro, Conde-Torres, Daniel, Antelo-Riveiro, Paula, Pineiro, Angel, Garcia-Fandino, Rebeca
Publikováno v:
Pharmaceuticals 2023, 16(6), 891
Artificial intelligence (AI) has the potential to revolutionize the drug discovery process, offering improved efficiency, accuracy, and speed. However, the successful application of AI is dependent on the availability of high-quality data, the addres
Externí odkaz:
http://arxiv.org/abs/2212.08104
We study the equilibrium solutions of a sessile drop on top of a horizontal substrate when it is partially covered by another inmiscible liquid, so that part of the drop is in contact with a third fluid (typically, air). The shapes of the interfaces
Externí odkaz:
http://arxiv.org/abs/2211.05743
Publikováno v:
Presented at the 2022 American Control Conference, Atlanta, GA, USA, June 8 - 10
We study the problem of target stabilization with robust obstacle avoidance in robots and vehicles that have access only to vision-based sensors for the purpose of realtime localization. This problem is particularly challenging due to the topological
Externí odkaz:
http://arxiv.org/abs/2209.01597