Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Paulo S G de Mattos Neto

Showing results (1-10 of 7) with videos related to

Pageof 1
Sort By:
IEEE Transactions on Neural Networks and Learning Systems|January 29, 2021
A Hybrid System Based on Dynamic Selection for Time Series ForecastingJoao F L de Oliveira, Eraylson G Silva, Paulo S G de Mattos Neto
Neural Networks : the Official Journal of the International Neural Network Society|November 19, 2013
Correcting and combining time series forecastersPaulo Renato A Firmino, Paulo S G de Mattos Neto, Tiago A E Ferreira
Plos One|September 29, 2015
An Approach to Improve the Performance of PM ForecastersPaulo S G de Mattos Neto, George D C Cavalcanti, Francisco Madeiro, et al.
Scientific Reports|January 12, 2022
Hybrid systems using residual modeling for sea surface temperature forecastingPaulo S G de Mattos Neto, George D C Cavalcanti, Domingos S de O Santos Júnior, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 26, 2017
A perturbative approach for enhancing the performance of time series forecastingPaulo S G de Mattos Neto, Tiago A E Ferreira, Aranildo R Lima, et al.
Sensors (Basel, Switzerland)|December 10, 2021
Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine EnsemblePaulo S G de Mattos Neto, João F L de Oliveira, Priscilla Bassetto, et al.
Scientific Reports|January 31, 2026
A genetic algorithm-based ensemble framework for wind speed forecastingTathiana Mikamura Barchi, João Lucas Ferreira Dos Santos, Thiago Antonini Alves, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|January 29, 2021
A Hybrid System Based on Dynamic Selection for Time Series ForecastingJoao F L de Oliveira, Eraylson G Silva, Paulo S G de Mattos Neto
Neural Networks : the Official Journal of the International Neural Network Society|November 19, 2013
Correcting and combining time series forecastersPaulo Renato A Firmino, Paulo S G de Mattos Neto, Tiago A E Ferreira
Plos One|September 29, 2015
An Approach to Improve the Performance of PM ForecastersPaulo S G de Mattos Neto, George D C Cavalcanti, Francisco Madeiro, et al.
Scientific Reports|January 12, 2022
Hybrid systems using residual modeling for sea surface temperature forecastingPaulo S G de Mattos Neto, George D C Cavalcanti, Domingos S de O Santos Júnior, et al.
Neural Networks : the Official Journal of the International Neural Network Society|February 26, 2017
A perturbative approach for enhancing the performance of time series forecastingPaulo S G de Mattos Neto, Tiago A E Ferreira, Aranildo R Lima, et al.
Sensors (Basel, Switzerland)|December 10, 2021
Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine EnsemblePaulo S G de Mattos Neto, João F L de Oliveira, Priscilla Bassetto, et al.
Scientific Reports|January 31, 2026
A genetic algorithm-based ensemble framework for wind speed forecastingTathiana Mikamura Barchi, João Lucas Ferreira Dos Santos, Thiago Antonini Alves, et al.
Pageof 1