Petrônio C. L. Silva

According to our database, Petrônio C. L. Silva authored at least 23 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Autonomous data partitioning for type-2 fuzzy set based time series.

Arthur Caio Vargas Pinto, Larissa C. C. da Silva, Petrônio C. L. Silva, Frederico G. Guimarães, Eduardo P. de Aguiar

Evol. Syst., April, 2024

2023

An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications.

Hugo Vinicius Bitencourt, Omid Orang, Luiz Augusto Facury de Souza, Petrônio C. L. Silva, Frederico Gadelha Guimarães

Neural Comput. Appl., May, 2023

Time series forecasting using fuzzy cognitive maps: a survey.

Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães

Artif. Intell. Rev., 2023

2022

Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications.

Omid Orang, Petrônio Cândido de Lima e Silva, Rodrigo César Pedrosa Silva, Frederico Gadelha Guimarães

Neurocomputing, 2022

Interval type-2 fuzzy set based time series forecasting using a data-driven partitioning approach.

Arthur Caio Vargas Pinto, Thiago E. Fernandes, Petrônio C. L. Silva, Frederico G. Guimarães, Christian Wagner, Eduardo Pestana de Aguiar

Evol. Syst., 2022

Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting.

Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães

CoRR, 2022

2021

Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications.

Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Matheus Cascalho dos Santos, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães

CoRR, 2021

A C4.5 Fuzzy Decision Tree Method for Multivariate Time Series Forecasting.

Rafael R. C. Silva, Walmir Matos Caminhas, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

High-dimensional Multivariate Time Series Forecasting using Self-Organizing Maps and Fuzzy Time Series.

Matheus Cascalho dos Santos, Frederico Gadelha Guimarães, Petrônio Cândido de Lima e Silva

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Self-Organised Direction Aware Data Partitioning for Type-2 Fuzzy Time Series Prediction.

Arthur Caio Vargas Pinto, Petrônio C. L. Silva, Frederico G. Guimarães, Christian Wagner, Eduardo P. de Aguiar

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Aggregation of Sentiment Analysis Index with Hesitant Fuzzy Sets for Financial Time Series Forecasting.

Breno Costa Dolabela Dias, Hossein Javedani Sadaei, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães

Proceedings of the IEEE World AI IoT Congress, 2021

2020

Distributed Evolutionary Hyperparameter Optimization for Fuzzy Time Series.

Petrônio C. L. Silva, Patrícia de Oliveira e Lucas, Hossein Javedani Sadaei, Frederico Gadelha Guimarães

IEEE Trans. Netw. Serv. Manag., 2020

Probabilistic Forecasting With Fuzzy Time Series.

Petrônio Cândido de Lima e Silva, Hossein Javedani Sadaei, Rosangela Ballini, Frederico Gadelha Guimarães

IEEE Trans. Fuzzy Syst., 2020

Predicting Daily Air Pollution Index Based on Fuzzy Time Series Markov Chain Model.

Yousif Alyousifi, Mahmod Othman, Rajalingam Sokkalingam, Ibrahima Faye, Petrônio C. L. Silva

Symmetry, 2020

Markov Weighted Fuzzy Time-Series Model Based on an Optimum Partition Method for Forecasting Air Pollution.

Yousif Alyousifi, Mahmod Othman, Ibrahima Faye, Rajalingam Sokkalingam, Petrônio C. L. Silva

Int. J. Fuzzy Syst., 2020

COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions.

Petrônio C. L. Silva, Paulo V. C. Batista, Helder Seixas Lima, Marcos Antonio Alves, Frederico G. Guimarães, Rodrigo C. P. Silva

CoRR, 2020

Reference evapotranspiration time series forecasting with ensemble of convolutional neural networks.

Patrícia de Oliveira e Lucas, Marcos Antonio Alves, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães

Comput. Electron. Agric., 2020

Forecasting in non-stationary environments with fuzzy time series.

Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano Junior, Marcos Antonio Alves, Rodrigo César Pedrosa Silva, Miri Weiss-Cohen, Frederico Gadelha Guimarães

Appl. Soft Comput., 2020

Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps.

Omid Orang, Rodrigo César Pedrosa Silva, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães

Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2019

A Distributed Algorithm for Scalable Fuzzy Time Series.

Petrônio Cândido de Lima e Silva, Patrícia de Oliveira e Lucas, Frederico Gadelha Guimarães

Proceedings of the Green, Pervasive, and Cloud Computing - 14th International Conference, 2019

2018

An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series.

Marcos Antonio Alves, Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano Junior, Gustavo Linhares Vieira, Frederico Gadelha Guimarães, Hossein Javedani Sadaei

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Very short-term solar forecasting using fuzzy time series.

Carlos Alberto Severiano Junior, Petrônio C. L. Silva, Hossein Javedani Sadaei, Frederico Gadelha Guimarães

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

Interval forecasting with Fuzzy Time Series.

Petrônio C. L. Silva, Hossein Javedani Sadaei, Frederico Gadelha Guimarães

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016