Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Sylvio Barbon Junior"'
Publikováno v:
IEEE Access, Vol 12, Pp 54256-54271 (2024)
Concept drifts can occur due to various factors such as changes in the environment or sensor degradation, posing significant challenges to machine learning systems by potentially skewing decision-making processes. Therefore, detecting drifts is essen
Externí odkaz:
https://doaj.org/article/6232f7d64a3145239a9bc70faa8223fa
Publikováno v:
IEEE Access, Vol 12, Pp 24583-24595 (2024)
Machine learning models are routinely integrated into process mining pipelines to carry out tasks like data transformation, noise reduction, anomaly detection, classification, and prediction. Often, the design of such models is based on some ad-hoc a
Externí odkaz:
https://doaj.org/article/b10f8b2e37da47d9bf0aaa01a72b4039
Autor:
Iuliana Malina Grigore, Gabriel Marques Tavares, Matheus Camilo da Silva, Paolo Ceravolo, Sylvio Barbon Junior
Publikováno v:
Information, Vol 15, Iss 4, p 241 (2024)
Business processes have undergone a significant transformation with the advent of the process-oriented view in organizations. The increasing complexity of business processes and the abundance of event data have driven the development and widespread a
Externí odkaz:
https://doaj.org/article/4ff052859a0246c3a36470e4b0119113
Autor:
Matheus Camilo da Silva, Gabriel Marques Tavares, Marcos Cesar Gritti, Paolo Ceravolo, Sylvio Barbon Junior
Publikováno v:
FinTech, Vol 2, Iss 1, Pp 120-137 (2023)
In the context of online banking, new users have to register their information to become clients through mobile applications; this process is called digital onboarding. Fraudsters often commit identity fraud by impersonating other people to obtain ac
Externí odkaz:
https://doaj.org/article/9658fa91c7df4b85958a42225a3d6fc3
Autor:
Fabio Giuliano Caetano, Sylvio Barbon Junior, Ricardo da Silva Torres, Sergio Augusto Cunha, Paulo Régis Caron Ruffino, Luiz Eduardo Barreto Martins, Felipe Arruda Moura
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
Abstract Dominant regions are defined as regions of the pitch where a player can reach before any other and are commonly determined without considering the free-spaces in the pitch. We presented an approach to football players’ dominant regions ana
Externí odkaz:
https://doaj.org/article/da298dad05f4405c961e8a3d30e49e51
Publikováno v:
Future Internet, Vol 15, Iss 5, p 169 (2023)
The stream mining paradigm has become increasingly popular due to the vast number of algorithms and methodologies it provides to address the current challenges of Internet of Things (IoT) and modern machine learning systems. Change detection algorith
Externí odkaz:
https://doaj.org/article/cac091a8ee584f95ab47f4e5202fced3
Autor:
Sylvio Barbon Junior, Saulo Martielo Mastelini, Ana Paula A.C. Barbon, Douglas Fernandes Barbin, Rosalba Calvini, Jessica Fernandes Lopes, Alessandro Ulrici
Publikováno v:
Information Processing in Agriculture, Vol 7, Iss 2, Pp 342-354 (2020)
Near Infrared (NIR) spectroscopy is an analytical technology widely used for the non-destructive characterisation of organic samples, considering both qualitative and quantitative attributes. In the present study, the combination of Multi-target (MT)
Externí odkaz:
https://doaj.org/article/764cc66afda64805a95677d6ec992d11
Publikováno v:
Sensors, Vol 21, Iss 21, p 7333 (2021)
A wide range of applications based on sequential data, named time series, have become increasingly popular in recent years, mainly those based on the Internet of Things (IoT). Several different machine learning algorithms exploit the patterns extract
Externí odkaz:
https://doaj.org/article/35fab8c149124520ace8803a6f6d67c6
Publikováno v:
Information, Vol 12, Iss 10, p 394 (2021)
With data collected by Internet of Things sensors, deep learning (DL) models can forecast the generation capacity of photovoltaic (PV) power plants. This functionality is especially relevant for PV power operators and users as PV plants exhibit irreg
Externí odkaz:
https://doaj.org/article/8dcd3143098d45b395eba3a506ddb04b
Autor:
Hugo Queiroz Abonizio, Janaina Ignacio de Morais, Gabriel Marques Tavares, Sylvio Barbon Junior
Publikováno v:
Future Internet, Vol 12, Iss 5, p 87 (2020)
Online Social Media (OSM) have been substantially transforming the process of spreading news, improving its speed, and reducing barriers toward reaching out to a broad audience. However, OSM are very limited in providing mechanisms to check the credi
Externí odkaz:
https://doaj.org/article/7abc2a924ab54a22a4e2f64baa1a9439