Zobrazeno 1 - 10
of 111
pro vyhledávání: '"Marcelo Mendoza"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract The rise of bots that mimic human behavior represents one of the most pressing threats to healthy information environments on social media. Many bots are designed to increase the visibility of low-quality content, spread misinformation, and
Externí odkaz:
https://doaj.org/article/05dbe9c2389b47d09c54a07d4e16d985
Autor:
Camila Vera, Francesca Lucchini, Naim Bro, Marcelo Mendoza, Hans Löbel, Felipe Gutiérrez, Jan Dimter, Gabriel Cuchacovic, Axel Reyes, Hernán Valdivieso, Nicolás Alvarado, Sergio Toro
Publikováno v:
EPJ Data Science, Vol 11, Iss 1, Pp 1-22 (2022)
Abstract Urban clustering detects geographical units that are internally homogeneous and distinct from their surroundings. It has applications in urban planning, but few studies compare the effectiveness of different methods. We study two techniques
Externí odkaz:
https://doaj.org/article/e15a409afec8413e822e4eeb59293e39
Autor:
Marcelo Mendoza, Sebastián Valenzuela, Enrique Núñez-Mussa, Fabián Padilla, Eliana Providel, Sebastián Campos, Renato Bassi, Andrea Riquelme, Valeria Aldana, Claudia López
Publikováno v:
Applied Sciences, Vol 13, Iss 9, p 5347 (2023)
Information disorders on social media can have a significant impact on citizens’ participation in democratic processes. To better understand the spread of false and inaccurate information online, this research analyzed data from Twitter, Facebook,
Externí odkaz:
https://doaj.org/article/08e06dbda3464344bc189e347b0b074f
Publikováno v:
IEEE Access, Vol 7, Pp 155671-155685 (2019)
Current data processing tasks require efficient approaches capable of dealing with large databases. A promising strategy consists in distributing the data along with several computers that partially solve the undertaken problem. Finally, these partia
Externí odkaz:
https://doaj.org/article/aaf0d0b3e1a1492486eb339f7905b6de
Publikováno v:
EPJ Data Science, Vol 8, Iss 1, Pp 1-23 (2019)
Abstract The Modified Mercalli intensity scale (Mercalli scale for short) is a qualitative measure used to express the perceived intensity of an earthquake in terms of damages. Accurate intensity reports are vital to estimate the type of emergency re
Externí odkaz:
https://doaj.org/article/14543958c3a240f799fa56e2301d3ff8
Autor:
Naim Bro, Marcelo Mendoza
Publikováno v:
PLoS ONE, Vol 16, Iss 1, p e0244372 (2021)
Based on a geocoded registry of more than four million residents of Santiago, Chile, we build two surname-based networks that reveal the city's population structure. The first network is formed from paternal and maternal surname pairs. The second net
Externí odkaz:
https://doaj.org/article/70748358f18747f0b53fe0ad53066870
Autor:
Marcelo Mendoza, Naim Bro
Publikováno v:
PLoS ONE, Vol 16, Iss 9, p e0256603 (2021)
From administrative registers of last names in Santiago, Chile, we create a surname affinity network that encodes socioeconomic data. This network is a multi-relational graph with nodes representing surnames and edges representing the prevalence of i
Externí odkaz:
https://doaj.org/article/0dc752a27f1843c78f6285fa9ba79f8b
Publikováno v:
Inteligencia Artificial, Vol 23, Iss 65 (2020)
This paper presents an analytic study showing that it is entirely possible to analyze the sentiment of an Arabic dialect without constructing any resources. The idea of this work is to use the resources dedicated to a given dialect \textit{X} for ana
Externí odkaz:
https://doaj.org/article/0788378c56c242018fdd0c0a08969a01
Autor:
Marcelo Mendoza
Publikováno v:
Publications, Vol 9, Iss 4, p 47 (2021)
The evaluation of research proposals and academic careers is subject to indicators of scientific productivity. Citations are critical signs of impact for researchers, and many indicators are based on these data. The literature shows that there are di
Externí odkaz:
https://doaj.org/article/50d55593cc794fa39554114a5c974b19
Publikováno v:
Information, Vol 12, Iss 9, p 360 (2021)
Ad hoc information retrieval (ad hoc IR) is a challenging task consisting of ranking text documents for bag-of-words (BOW) queries. Classic approaches based on query and document text vectors use term-weighting functions to rank the documents. Some o
Externí odkaz:
https://doaj.org/article/10c4770367ec48389e935bfa9660fe35