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)

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)

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)

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)