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Petrônio C. L. Silva
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2020 – today
- 2024
- [j13]Arthur Caio Vargas Pinto
, Larissa C. C. da Silva, Petrônio C. L. Silva, Frederico G. Guimarães, Eduardo P. de Aguiar
Autonomous data partitioning for type-2 fuzzy set based time series. Evol. Syst. 15(2): 575-590 (2024) - [j12]Fabricio Javier Erazo-Costa
A Fuzzy-Probabilistic Representation Learning Method for Time Series Classification. IEEE Trans. Fuzzy Syst. 32(5): 2940-2952 (2024) - [j11]Omid Orang
Multiple-Input-Multiple-Output Randomized Fuzzy Cognitive Map Method for High-Dimensional Time Series Forecasting. IEEE Trans. Fuzzy Syst. 32(6): 3703-3715 (2024) - [c10]Omid Orang, Fabricio Javier Erazo-Costa, Petrônio C. L. Silva, Guilherme de Alencar Barreto, Frederico Gadelha Guimarães:
A Large Reservoir Computing Forecasting Method Based on Randomized Fuzzy Cognitive Maps. EAIS 2024: 1-8 - 2023
- [j10]Omid Orang, Petrônio Cândido de Lima e Silva
Time series forecasting using fuzzy cognitive maps: a survey. Artif. Intell. Rev. 56(8): 7733-7794 (2023) - [j9]Hugo Vinicius Bitencourt, Omid Orang
An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications. Neural Comput. Appl. 35(13): 9407-9420 (2023) - 2022
- [j8]Arthur Caio Vargas Pinto
Interval type-2 fuzzy set based time series forecasting using a data-driven partitioning approach. Evol. Syst. 13(5): 703-721 (2022) - [j7]Omid Orang, Petrônio Cândido de Lima e Silva
Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications. Neurocomputing 512: 153-177 (2022) - [i5]Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães:
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting. CoRR abs/2201.02158 (2022) - [i4]Omid Orang, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães:
Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey. CoRR abs/2201.02297 (2022) - 2021
- [c9]Breno Costa Dolabela Dias, Hossein Javedani Sadaei, Petrônio Cândido de Lima e Silva
Aggregation of Sentiment Analysis Index with Hesitant Fuzzy Sets for Financial Time Series Forecasting. AIIoT 2021: 433-439 - [c8]Arthur Caio Vargas Pinto, Petrônio C. L. Silva
Self-Organised Direction Aware Data Partitioning for Type-2 Fuzzy Time Series Prediction. FUZZ-IEEE 2021: 1-6 - [c7]Matheus Cascalho dos Santos, Frederico Gadelha Guimarães, Petrônio Cândido de Lima e Silva
High-dimensional Multivariate Time Series Forecasting using Self-Organizing Maps and Fuzzy Time Series. FUZZ-IEEE 2021: 1-6 - [c6]Rafael R. C. Silva, Walmir Matos Caminhas, Petrônio Cândido de Lima e Silva
A C4.5 Fuzzy Decision Tree Method for Multivariate Time Series Forecasting. FUZZ-IEEE 2021: 1-6 - [i3]Hugo Vinicius Bitencourt, Luiz Augusto Facury de Souza, Matheus Cascalho dos Santos, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães:
Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications. CoRR abs/2112.02140 (2021) - 2020
- [j6]Petrônio Cândido de Lima e Silva
Forecasting in non-stationary environments with fuzzy time series. Appl. Soft Comput. 97(Part B): 106825 (2020) - [j5]Patrícia de Oliveira e Lucas
Reference evapotranspiration time series forecasting with ensemble of convolutional neural networks. Comput. Electron. Agric. 177: 105700 (2020) - [j4]Yousif Alyousifi, Mahmod Othman, Ibrahima Faye, Rajalingam Sokkalingam, Petrônio C. L. Silva
Markov Weighted Fuzzy Time-Series Model Based on an Optimum Partition Method for Forecasting Air Pollution. Int. J. Fuzzy Syst. 22(5): 1468-1486 (2020) - [j3]Yousif Alyousifi, Mahmod Othman
Predicting Daily Air Pollution Index Based on Fuzzy Time Series Markov Chain Model. Symmetry 12(2): 293 (2020) - [j2]Petrônio Cândido de Lima e Silva
Probabilistic Forecasting With Fuzzy Time Series. IEEE Trans. Fuzzy Syst. 28(8): 1771-1784 (2020) - [j1]Petrônio C. L. Silva
Distributed Evolutionary Hyperparameter Optimization for Fuzzy Time Series. IEEE Trans. Netw. Serv. Manag. 17(3): 1309-1321 (2020) - [c5]Omid Orang, Rodrigo César Pedrosa Silva, Petrônio Cândido de Lima e Silva
Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps. FUZZ-IEEE 2020: 1-8 - [i2]Petrônio Cândido de Lima e Silva
Forecasting in Non-stationary Environments with Fuzzy Time Series. CoRR abs/2004.12554 (2020) - [i1]Petrônio C. L. Silva
COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions. CoRR abs/2006.10532 (2020)
2010 – 2019
- 2019
- [c4]Petrônio Cândido de Lima e Silva
A Distributed Algorithm for Scalable Fuzzy Time Series. GPC 2019: 42-56 - 2018
- [c3]Marcos Antonio Alves, Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano Junior, Gustavo Linhares Vieira, Frederico Gadelha Guimarães, Hossein Javedani Sadaei:
An extension of nonstationary fuzzy sets to heteroskedastic fuzzy time series. ESANN 2018 - 2017
- [c2]Carlos Alberto Severiano Junior, Petrônio C. L. Silva
Very short-term solar forecasting using fuzzy time series. FUZZ-IEEE 2017: 1-6 - 2016
- [c1]Petrônio C. L. Silva
Interval forecasting with Fuzzy Time Series. SSCI 2016: 1-8
Coauthor Index
aka: Frederico Gadelha Guimarães
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