Interval forecasting with Fuzzy Time Series. - Petrônio C. L. Silva; Hossein Javedani Sadaei; Frederico Gadelha Guimarães (SSCI, 2016)

Very short-term solar forecasting using fuzzy time series. - Carlos Alberto Severiano Junior; Petrônio C. L. Silva; Hossein Javedani Sadaei; Frederico Gadelha Guimarães (FUZZ-IEEE, 2017)

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 (ESANN, 2018)

A Distributed Algorithm for Scalable Fuzzy Time Series. - Petrônio Cândido de Lima e Silva; Patrícia de Oliveira e Lucas; Frederico Gadelha Guimarães (GPC, 2019)

Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps. - Omid Orang; Rodrigo Silva 001; Petrônio Cândido de Lima e Silva; Frederico Gadelha Guimarães (FUZZ-IEEE, 2020)

Forecasting in non-stationary environments with fuzzy time series. - Petrônio Cândido de Lima e Silva; Carlos Alberto Severiano Junior; Marcos Antonio Alves; Rodrigo Silva 001; Miri Weiss-Cohen; Frederico Gadelha Guimarães (Appl. Soft Comput., 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)

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)

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)

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)

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)

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)

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 (AIIoT, 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 002; Eduardo P. de Aguiar (FUZZ-IEEE, 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 (FUZZ-IEEE, 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 (FUZZ-IEEE, 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)

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)

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 002; Eduardo Pestana de Aguiar (Evol. Syst., 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 Silva 001; Frederico Gadelha Guimarães (Neurocomputing, 2022)

Time series forecasting using fuzzy cognitive maps: a survey. - Omid Orang; Petrônio Cândido de Lima e Silva; Frederico Gadelha Guimarães (Artif. Intell. Rev., 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., 2023)

Traffic Forecasting Using Federated Randomized High-Order Fuzzy Cognitive Maps. - Omid Orang; Felipe A. R. da Silva; Petrônio C. L. Silva; Pedro H. S. S. Barros; Heitor S. Ramos; Frederico G. Guimarães (BRACIS (2), 2024)

A Large Reservoir Computing Forecasting Method Based on Randomized Fuzzy Cognitive Maps. - Omid Orang; Fabricio Javier Erazo-Costa; Petrônio C. L. Silva; Guilherme de Alencar Barreto; Frederico Gadelha Guimarães (EAIS, 2024)

A weighted multivariate fuzzy time series method for multiple output high-dimensional time series forecasting in IoT applications. - Hugo Vinicius Bitencourt; Patrícia de Oliveira e Lucas; Omid Orang; Petrônio C. L. Silva; Frederico Gadelha Guimarães (LA-CCI, 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., 2024)

A Fuzzy-Probabilistic Representation Learning Method for Time Series Classification. - Fabricio Javier Erazo-Costa; Petrônio C. L. Silva; Frederico Gadelha Guimarães (IEEE Trans. Fuzzy Syst., 2024)

Multiple-Input-Multiple-Output Randomized Fuzzy Cognitive Map Method for High-Dimensional Time Series Forecasting. - Omid Orang; Hugo Vinicius Bitencourt; Luiz Augusto Facury de Souza; Patrícia de Oliveira e Lucas; Petrônio C. L. Silva; Frederico Gadelha Guimarães (IEEE Trans. Fuzzy Syst., 2024)

Time Series Classification Using Federated Convolutional Neural Networks and Image-Based Representations. - Felipe A. R. da Silva; Omid Orang; Fabricio Javier Erazo-Costa; Petrônio C. L. Silva; Pedro H. S. S. Barros; Ricardo Poley Martins Ferreira; Frederico Gadelha Guimarães (IEEE Access, 2025)

A Multistep Multivariate Fuzzy-Based Time-Series Forecasting on Internet of Things Data. - Hugo Vinicius Bitencourt; Patrícia de Oliveira e Lucas; Omid Orang; Petrônio C. L. Silva; Frederico Gadelha Guimarães (IEEE Internet Things J., 2025)

Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting. - Omid Orang; Patrícia de Oliveira e Lucas; Gabriel I. F. Paiva; Petrônio C. L. Silva; Felipe Augusto Rocha da Silva; Adriano Alonso Veloso; Frederico Gadelha Guimarães (CoRR, 2025)