Zobrazeno 1 - 10
of 837
pro vyhledávání: '"Diaz-Rodriguez P"'
Autor:
Ramsay, Kelly, Diaz-Rodriguez, Jairo
Despite the potential of differentially private data visualization to harmonize data analysis and privacy, research in this area remains relatively underdeveloped. Boxplots are a widely popular visualization used for summarizing a dataset and for com
Externí odkaz:
http://arxiv.org/abs/2405.20415
Autor:
Diaz-Rodriguez, Jairo, Gomez, Juan Pablo, Orange, Jeremy P., Burkett-Cadena, Nathan D., Wisely, Samantha M., Blackburn, Jason K., Sardy, Sylvain
Identifying areas in a landscape where individuals have higher probability of becoming infected with a pathogen is a crucial step towards disease management. We perform a novel epidemiological tomography for the estimation of landscape propensity to
Externí odkaz:
http://arxiv.org/abs/2404.04455
In this work, we investigate the means of using curiosity on replay buffers to improve offline multi-task continual reinforcement learning when tasks, which are defined by the non-stationarity in the environment, are non labeled and not evenly expose
Externí odkaz:
http://arxiv.org/abs/2312.03177
Autor:
Nin-Ruiz, Elias, Diaz-Rodriguez, Jairo
This paper proposes two practical implementations of Four-Dimensional Variational (4D-Var) Ensemble Kalman Filter (4D-EnKF) methods for non-linear data assimilation. Our formulations' main idea is to avoid the intrinsic need for adjoint models in the
Externí odkaz:
http://arxiv.org/abs/2305.02896
Autor:
Díaz-Rodríguez, Natalia, Del Ser, Javier, Coeckelbergh, Mark, de Prado, Marcos López, Herrera-Viedma, Enrique, Herrera, Francisco
Trustworthy Artificial Intelligence (AI) is based on seven technical requirements sustained over three main pillars that should be met throughout the system's entire life cycle: it should be (1) lawful, (2) ethical, and (3) robust, both from a techni
Externí odkaz:
http://arxiv.org/abs/2305.02231
Autor:
Koplitz, Brad, Johnson, Jared, Williams, Benjamin F., Diaz-Rodriguez, Mariangelly, Murphy, Jeremiah W., Lazzarini, Margaret, Guzman, Joseph, Dalcanton, Julianne J., Dolphin, Andrew, Durbin, Meredith
Using resolved optical stellar photometry from the Panchromatic Hubble Andromeda Treasury Triangulum Extended Region (PHATTER) survey, we measured the star formation history (SFH) near the position of 85 supernova remnants (SNRs) in M33. We constrain
Externí odkaz:
http://arxiv.org/abs/2303.07318
Publikováno v:
Knowledge-Based Systems 260 (2023) 110189
A quantitative assessment of the global importance of an agent in a team is as valuable as gold for strategists, decision-makers, and sports coaches. Yet, retrieving this information is not trivial since in a cooperative task it is hard to isolate th
Externí odkaz:
http://arxiv.org/abs/2212.03041
Although Deep Neural Networks (DNNs) have great generalization and prediction capabilities, their functioning does not allow a detailed explanation of their behavior. Opaque deep learning models are increasingly used to make important predictions in
Externí odkaz:
http://arxiv.org/abs/2209.14974
Rendering programs have changed the design process completely as they permit to see how the products will look before they are fabricated. However, the rendering process is complicated and takes a significant amount of time, not only in the rendering
Externí odkaz:
http://arxiv.org/abs/2207.08989
Autor:
Jani Pacheco-Aranibar, Karla Diaz-Rodriguez, Rosemary Zapana-Begazo, Steven Criollo-Arteaga, Jose A. Villanueva-Salas, Julio C. Bernabe-Ortiz
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110681- (2024)
Anemia is the most common hematological disorder affecting humans. In Peru, anemia is a pressing issue that present the most significant concern due to its adverse effects, such as delayed growth and psychomotor development, in addition to a deficien
Externí odkaz:
https://doaj.org/article/715486843b644a12b390959663bb072e
