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Omid Orang

ORCID: 0000-0002-4077-3775
Observed ORCID: 0000-0002-4077-3775
OpenAlex ID: A5038448571
Time series forecasting using fuzzy cognitive maps: a survey
2022 · Omid Orang, Petrônio Cândido de Lima e Silva, et al. · Artificial Intelligence Review · 105
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Short-term electric load and temperature forecasting using wavelet echo state networks with neural reconstruction
2013 · Ali Deihimi, Omid Orang, et al. · Energy · 101
A Tutorial on Fuzzy Time Series Forecasting Models: Recent Advances and Challenges
2022 · Patrícia O. Lucas, Omid Orang, et al. · Learning and Nonlinear Models · 33
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Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps
2020 · Omid Orang, Rodrigo Silva, et al. · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · 31
Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications
2022 · Omid Orang, Petrônio Cândido de Lima e Silva, et al. · Neurocomputing · 20
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An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications
2022 · Hugo Vinicius Bitencourt, Omid Orang, et al. · Neural Computing and Applications · 16
Multiple-Input–Multiple-Output Randomized Fuzzy Cognitive Map Method for High-Dimensional Time Series Forecasting
2024 · Omid Orang, Hugo Vinicius Bitencourt, et al. · IEEE Transactions on Fuzzy Systems · 13
Multi-output time series forecasting with randomized multivariate Fuzzy Cognitive Maps
2023 · Omid Orang, Petrônio Cândido de Lima e Silva, et al. · Chaos Solitons & Fractals · 9
A Multistep Multivariate Fuzzy-Based Time-Series Forecasting on Internet of Things Data
2025 · Hugo Vinicius Bitencourt, Patrícia de Oliveira Lucas, et al. · IEEE Internet of Things Journal · 8
A Large Reservoir Computing Forecasting Method Based on Randomized Fuzzy Cognitive Maps
2024 · Omid Orang, Fabricio J. Erazo-Costa, et al. · IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) · 5
Time Series Classification Using Federated Convolutional Neural Networks and Image-Based Representations
2025 · Felipe A. R. Silva, Omid Orang, et al. · IEEE Access · 3
Traffic Forecasting Using Federated Randomized High-Order Fuzzy Cognitive Maps
2025 · Omid Orang, Felipe A. R. da Silva, et al. · Lecture notes in computer science · 2
Leveraging Large Language Models for time series forecasting: A systematic literature review
2026 · Gabriel Ikaro Fonseca de Paiva, Arthur Caio Vargas e Pinto, et al. · Knowledge-Based Systems · 1
Automated forecasting model leveraging large reservoirs of randomized fuzzy cognitive maps
2025 · Omid Orang, Fabricio J. Erazo-Costa, et al. · Evolving Systems · 1
A New Data-Driven Interval Type-2 Fuzzy Forecasting Approach for Load Forecasting
2025 · Arthur Caio Vargas e Pinto, Omid Orang, et al. · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) · 1
Flautim: A Federated Learning Platform using K8S and Flower
2024 · Pedro H. S. S. Barros, Marcelo Q. A. Oliveira, et al. · Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia) · 1
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Time Series Forecasting Using Parallel Randomized Fuzzy Cognitive Maps and Reservoir Computing
2024 · Omid Orang, Hugo Vinicius Bitencourt, et al. · Lecture notes in networks and systems · 1
One-Shot Federated Class-Incremental Learning for Medical Imaging via Variational Feature Transfer
2026 · Pedro H. Barros, Omid Orang, et al. · International Joint Conference on Artificial Intelligence
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Spatiotemporal modeling with graph neural cellular automata for modular traffic forecasting
2026 · Lucas Malacarne Astore, Gustavo Henrique Pinheiro da Silva, et al. · Expert Systems with Applications
Time Series Classification via Large Randomized High-Order Fuzzy Cognitive Maps: A First Proposal
2026 · Fabricio Erazo-Costa, Omid Orang, et al. · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Enhanced Forecasting Model Using Transformers, Extended Long-Short-Term Memory, and Randomized Fuzzy Cognitive Maps
2026 · Omid Orang, Petrônio C. L. Silva, et al. · Lecture notes in computer science
Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting
2025 · Omid Orang, Patrícia de Oliveira Lucas, et al. · Congresso Brasileiro de Inteligência Computacional (CBIC)
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Federated Short-Term Household Load Forecasting with FedProx and Differential Privacy
2025 · Julia Zibetti Castilhos de Mellos, Lucas Malacarne Astore, et al. · International Conference on Federated Learning Technologies and Applications (FLTA)
Driver Maneuver Classification Based on Multivariate Fuzzy Time Series
2025 · Petrônio C. L. Silva, Omid Orang, et al. · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
A weighted multivariate fuzzy time series method for multiple output high-dimensional time series forecasting in IoT applications
2024 · Hugo Vinicius Bitencourt, Patrícia de Oliveira Lucas, et al. · IEEE Latin American Conference on Computational Intelligence (LA-CCI)
Works count: 26
Citation count: 351
H-index: 8
I10-index: 7
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