Paulo Canas Rodrigues
Paulo Canas Rodrigues
Federal University of Bahia, Salvador, Brazil
Email confirmado em - Página inicial
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Citado por
Indonesian electricity load forecasting using singular spectrum analysis, fuzzy systems and neural networks
W Sulandari, MH Lee, PC Rodrigues
Energy 190, 116408, 2020
A Weighted AMMI Algorithm to Study Genotype-by-Environment Interaction and QTL-by-Environment Interaction
PC Rodrigues, M Malosetti, HG Gauch, FA van Eeuwijk
Crop Science 54, 1555-1570, 2014
Tracking the US business cycle with a singular spectrum analysis
M De Carvalho, PC Rodrigues, A Rua
Economics Letters, 2011
A robust AMMI model for the analysis of genotype-by-environment data
PC Rodrigues, A Monteiro, VM Lourenço
Bioinformatics 32 (1), 58-66, 2016
Two New Strategies for Detecting and Understanding QTL× Environment Interactions
HG GAUCH, PC Rodrigues, JD Munkvold, EL Heffner, M Sorrells
Crop science 51 (1), 96-113, 2011
The benefits of multivariate singular spectrum analysis over the univariate version
PC Rodrigues, R Mahmoudvand
Journal of the Franklin Institute 355 (1), 544-564, 2018
Air quality assessment and pollution forecasting using artificial neural networks in Metropolitan Lima-Peru
CH Cordova, MNL Portocarrero, R Salas, R Torres, PC Rodrigues, ...
Scientific Reports 11 (1), 24232, 2021
Missing value imputation in time series using Singular Spectrum Analysis
R Mahmoudvand, PC Rodrigues
International Journal of Energy and Statistics 4 (01), 1650005, 2016
Adaptation of Winter Wheat Cultivars to Different Environments: A Case Study in Poland
M Iwańska, J Paderewski, M Stępień, PC Rodrigues
Agronomy 10 (5), 632, 2020
Genetic and QTL analyses of yield and a set of physiological traits in pepper
NA Alimi, M Bink, JA Dieleman, M Nicolaï, M Wubs, E Heuvelink, J Magan, ...
Euphytica 190 (2), 181-201, 2013
The usefulness of EM-AMMI to study the influence of missing data pattern and application to Polish post-registration winter wheat data
J Paderewski, PC Rodrigues
Australian Journal of Crop Science 8 (4), 2014
Spectral modeling of time series with missing data
PC Rodrigues, M De Carvalho
Applied Mathematical Modelling 37 (7), 4676-4684, 2013
Neural Networks for Financial Time Series Forecasting
K Sako, BN Mpinda, PC Rodrigues
Entropy 24 (5), 657, 2022
Statistical and Artificial Neural Networks Models for Electricity Consumption Forecasting in the Brazilian Industrial Sector
F Leite Coelho da Silva, K da Costa, P Canas Rodrigues, R Salas, ...
Energies 15 (2), 588, 2022
A comparison between joint regression analysis and the additive main and multiplicative interaction model: the robustness with increasing amounts of missing data
PC Rodrigues, DGS Pereira, JT Mexia
Scientia Agricola 68 (6), 679-686, 2011
Exponential Smoothing on Modeling and Forecasting Multiple Seasonal Time Series: An Overview
W Sulandari, Suhartono, Subanar, PC Rodrigues
Fluctuation and Noise Letters 20 (04), 2130003, 2021
A new parsimonious recurrent forecasting model in singular spectrum analysis
R Mahmoudvand, PC Rodrigues
Journal of Forecasting, 2017
Yield response of winter wheat to agro-ecological conditions using additive main effects and multiplicative interaction and cluster analysis
J Paderewski, HG Gauch, W Mądry, T Drzazga, PC Rodrigues
Crop Science 51 (3), 969-980, 2011
Forecasting mortality rate by singular spectrum analysis
R Mahmoudvand, F Alehosseini, PC Rodrigues
RevStat-Statistical Journal 13 (3), 193–206-193–206, 2015
Time series forecasting using singular spectrum analysis, fuzzy systems and neural networks
W Sulandari, S Subanar, MH Lee, PC Rodrigues
MethodsX, 101015, 2020
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