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

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)

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)

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)

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)

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)