Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Ronaldo R. Goldschmidt"'
Publikováno v:
C&T, Vol 37, Iss 1 (2020)
A Morfogênese é o processo de crescimento dos seres vivos a partir de células individuais. Ela tem sido bastante inspiradora para criação de algoritmos para o controle de coletividade de agentes. A Pesquisa nessa área começou com o primeiro mo
Externí odkaz:
https://doaj.org/article/4abffb75bc7f46b9bb281ee03ef9c328
Autor:
Ronaldo R. Goldschmidt, Isabel Fernandes, Paulo Márcio Souza Freire, Claudio Passos, Flávio Roberto Matias da Silva
Publikováno v:
Revista Brasileira de Informática na Educação. 29:634-661
Uma das estratégias para combater o crescente problema das fake news é capacitar pessoas para identificar esse tipo de notícia. Embora existam iniciativas em que tal capacitação é apoiada por jogos educacionais digitais (JED), os JED utilizados
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ac0a4840f38f62a1be0e9b76ef8ee55
https://doi.org/10.5753/rbie.2021.29.0.634
https://doi.org/10.5753/rbie.2021.29.0.634
Publikováno v:
iSys - Brazilian Journal of Information Systems. 15
A identificação de pessoas suspeitas de crimes em redes sociais (e.g. pedofilia, terrorismo etc.) tem tido destaque nos últimos anos. Contudo, na literatura, as interações geradas, a partir de conteúdos textuais postados nessas redes, nem sempr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a041b3c015ed09ab74289f7bdf1f04a7
https://doi.org/10.5753/isys.2022.2227
https://doi.org/10.5753/isys.2022.2227
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 15:1-23
Internet of Things (IoT) systems usually involve interconnected, low processing capacity, and low memory sensor nodes (devices) that collect data in several sorts of applications that interconnect people and things. In this scenario, mining tasks, su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed35618bff9b3abe5a44bd1e4dddbef7
https://doi.org/10.1145/3423139
https://doi.org/10.1145/3423139
Autor:
Ronaldo R. Goldschmidt, Guilherme dos Santos Villote, Raquel Lopes Costa, Felipe Alves de Oliveira, Maria Cláudia Cavalcanti
Publikováno v:
iSys - Brazilian Journal of Information Systems. 13:77-100
A Web de Dados é uma relevante e crescente fonte de dados que contém informações distribuídas em diferentes datasets interligados. A maioria dos algoritmos de mineração de dados foi projetada para analisar um único dataset por vez, e, consequ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9516a646686344f8a4153995baeb7bf
https://doi.org/10.5753/isys.2020.830
https://doi.org/10.5753/isys.2020.830
Autor:
Ronaldo R. Goldschmidt, Flávio Roberto Matias da Silva, Paulo Márcio Souza Freire, Marcelo Pereira de Souza, Igor Maffei Libonati Maia
Publikováno v:
WebMedia
The dissemination of news through digital media has amplified Fake News proliferation. In the face of this scenario, sentiment-based methods have presented promising results in Fake News detection. Although sentiment-based methods can extract sentime
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59bb88d63607a498faec46e75ea0b975
https://doi.org/10.1145/3470482.3479467
https://doi.org/10.1145/3470482.3479467
Publikováno v:
IEEE Latin America Transactions. 17:236-244
Community detection is an important network analysis task that has been studied by academy and industry for the last years. Community detection algorithms try to maximize the number of connections in each community and minimize the number of connecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d0727f126fbb1c4eda0bade43ef0793
https://doi.org/10.1109/tla.2019.8863169
https://doi.org/10.1109/tla.2019.8863169
Publikováno v:
SBSI
The identification of crime suspects on social networks (e.g. pedophilia, terrorism, etc.) has been one of the most relevant topics in social network analysis. The vast majority of methods are based on the extraction of textual content, senders and r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f487a26dbd0d3da3a131be7e4000611e
https://doi.org/10.1145/3466933.3466967
https://doi.org/10.1145/3466933.3466967
Publikováno v:
SBSI
Social Commerce has risen and evolved in the last years due to changes either in e-commerce or social networks applications. On top of that, the number of online ads and transactions in Social Commerce has grown. This environment is attractive to eit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a4d340a0bdc1fe3416c5b85484f6a9f
https://doi.org/10.1145/3466933.3466986
https://doi.org/10.1145/3466933.3466986
Publikováno v:
WebMedia
Identifying suspects of crimes on social networks is one of the most relevant tasks in the analysis of this type of network. Most of the computational methods focused on this task involve supervised machine learning, and, therefore, require previousl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71343c5c8545068eafdd341d33c951d0
https://doi.org/10.1145/3428658.3431091
https://doi.org/10.1145/3428658.3431091