Search Results - "Bravo, Mario"

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    The time between Palaeolithic hearths by Herrejón-Lagunilla, Ángela, Villalaín, Juan José, Pavón-Carrasco, Francisco Javier, Serrano Sánchez-Bravo, Mario, Sossa-Ríos, Santiago, Mayor, Alejandro, Galván, Bertila, Hernández, Cristo M., Mallol, Carolina, Carrancho, Ángel

    Published in Nature (London) (20-06-2024)
    “…Resolving the timescale of human activity in the Palaeolithic Age is one of the most challenging problems in prehistoric archaeology. The duration and…”
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    Environmental Rights Between Constitutional Law and Local Context: Reflections on a Moving Target by Hanschel, Dirk, Aguilera Bravo, Mario G., Dashpurev, Bayar, Idris, Abduletif Kedir

    Published in German law journal (01-09-2022)
    “…Abstract Environmental rights such as the right to a sound environment and rights of nature, while playing an increasingly important role in global…”
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    A semi-empirical risk panel to monitor epidemics: multi-faceted tool to assist healthcare and public health professionals by Perramon-Malavez, Aida, Bravo, Mario, de Rioja, Víctor López, Català, Martí, Alonso, Sergio, Álvarez-Lacalle, Enrique, López, Daniel, Soriano-Arandes, Antoni, Prats, Clara

    Published in Frontiers in public health (08-01-2024)
    “…Bronchiolitis, mostly caused by Respiratory Syncytial Virus (RSV), and influenza among other respiratory infections, lead to seasonal saturation at healthcare…”
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    Classification of Alzheimer's disease stages from magnetic resonance images using deep learning by Mora-Rubio, Alejandro, Bravo-Ortíz, Mario Alejandro, Quiñones Arredondo, Sebastián, Saborit Torres, Jose Manuel, Ruz, Gonzalo A, Tabares-Soto, Reinel

    Published in PeerJ. Computer science (24-08-2023)
    “…Alzheimer's disease (AD) is a progressive type of dementia characterized by loss of memory and other cognitive abilities, including speech. Since AD is a…”
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    Machine learning applications to predict two-phase flow patterns by Arteaga-Arteaga, Harold Brayan, Mora-Rubio, Alejandro, Florez, Frank, Murcia-Orjuela, Nicolas, Diaz-Ortega, Cristhian Eduardo, Orozco-Arias, Simon, delaPava, Melissa, Bravo-Ortíz, Mario Alejandro, Robinson, Melvin, Guillen-Rondon, Pablo, Tabares-Soto, Reinel

    Published in PeerJ. Computer science (29-11-2021)
    “…Recent advances in artificial intelligence with traditional machine learning algorithms and deep learning architectures solve complex classification problems…”
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    El periodismo deportivo y rol de la formación académica en la era digital en Ecuador by Morales Verduga, Ramon, Cedeño Bravo, Mario Junior

    Published in Revista San Gregorio (01-05-2024)
    “…Se ha cuestionado cómo los periodistas deportivos ecuatorianos perciben la influencia de su preparación académica, o la ausencia de esta, en su capacidad para…”
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    Sensitivity of deep learning applied to spatial image steganalysis by Tabares-Soto, Reinel, Arteaga-Arteaga, Harold Brayan, Mora-Rubio, Alejandro, Bravo-Ortíz, Mario Alejandro, Arias-Garzón, Daniel, Alzate-Grisales, Jesús Alejandro, Orozco-Arias, Simon, Isaza, Gustavo, Ramos-Pollán, Raúl

    Published in PeerJ. Computer science (31-08-2021)
    “…In recent years, the traditional approach to spatial image steganalysis has shifted to deep learning (DL) techniques, which have improved the detection…”
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    Using qualitative approaches to improve quantitative inferences in environmental psychology by Lewis, Neil A., Bravo, Mario, Naiman, Sarah, Pearson, Adam R., Romero-Canyas, Rainer, Schuldt, Jonathon P., Song, Hwanseok

    Published in MethodsX (01-01-2020)
    “…This article describes the qualitative approach used to generate and interpret the quantitative study reported by Song and colleagues’ (2020) in their article,…”
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    Propuesta de modelo tecnológico para Flipped Classroom (T-FliC) en educación superior by Castro Riquelme, Antonella, Bravo Molina, Mario, Basso Aránguiz, Matilde, Moraga Contreras, César

    Published in Revista educare (01-08-2018)
    “…Resumen Se presenta una propuesta de modelo tecnológico para Flipped Classroom (FC) o aula invertida, denominado T-FliC. El objetivo es dar un soporte mediado…”
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    An Adjusted Payoff-Based Procedure for Normal Form Games by Bravo, Mario

    Published in Mathematics of operations research (01-11-2016)
    “…We study a simple adaptive model in the framework of an N -player normal form game. The model consists of a repeated game where the players only know their own…”
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    On the robustness of learning in games with stochastically perturbed payoff observations by Bravo, Mario, Mertikopoulos, Panayotis

    Published in Games and economic behavior (01-05-2017)
    “…Motivated by the scarcity of accurate payoff feedback in practical applications of game theory, we examine a class of learning dynamics where players adjust…”
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    Sharp convergence rates for averaged nonexpansive maps by Bravo, Mario, Cominetti, Roberto

    Published in Israel journal of mathematics (01-08-2018)
    “…We establish sharp estimates for the convergence rate of the Kranosel’skiĭ–Mann fixed point iteration in general normed spaces, and we use them to show that…”
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    Trombosis venosa portal extrahepática, manejo quirúrgico con derivación meso-Rex. Serie de 3 casos by Jiménez Jiménez, Cesar Eduardo, Randial Tagliapetra, Leonardo, Silva Restrepo, Iván Enrique, Hossman-Galindo, Manuel Augusto, Bravo, Mario, Moreno Beltrán, Osiris

    Published in Revista colombiana de cirugía (01-03-2021)
    “…La vena porta es un conducto que drena el flujo esplácnico al hígado y se puede ocluir por diferentes patologías, variando su presentación clínica de acuerdo…”
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    Rates of convergence for inexact Krasnosel’skii–Mann iterations in Banach spaces by Bravo, Mario, Cominetti, Roberto, Pavez-Signé, Matías

    Published in Mathematical programming (01-05-2019)
    “…We study the convergence of an inexact version of the classical Krasnosel’skii–Mann iteration for computing fixed points of nonexpansive maps. Our main result…”
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    Learning with minimal information in continuous games by Bervoets, Sebastian, Bravo, Mario, Faure, Mathieu

    Published in Theoretical economics (01-11-2020)
    “…While payoff-based learning models are almost exclusively devised for finite action games, where players can test every action, it is harder to design such…”
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