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  • Source: Neurocomputing. Unidade: ICMC

    Subjects: VEÍCULOS AUTÔNOMOS, MÉTODOS DE PREVISÃO E CORREÇÃO, TRAJETÓRIA, TOMADA DE DECISÃO

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    • ABNT

      GOMES, Iago Pachêco e WOLF, Denis Fernando. A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving. Neurocomputing, v. 651, p. 1-19, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2025.131014. Acesso em: 29 nov. 2025.
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      Gomes, I. P., & Wolf, D. F. (2025). A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving. Neurocomputing, 651, 1-19. doi:10.1016/j.neucom.2025.131014
    • NLM

      Gomes IP, Wolf DF. A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving [Internet]. Neurocomputing. 2025 ; 651 1-19.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1016/j.neucom.2025.131014
    • Vancouver

      Gomes IP, Wolf DF. A comprehensive review of deep learning techniques for interaction-aware trajectory prediction in urban autonomous driving [Internet]. Neurocomputing. 2025 ; 651 1-19.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1016/j.neucom.2025.131014
    GDS 09. Industry, innovation and infrastructure
  • Source: Expert Systems With Applications. Unidade: ICMC

    Subjects: COMPORTAMENTO, REDES NEURAIS, VEÍCULOS AUTÔNOMOS, AMBIENTES URBANOS

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      GOMES, Iago Pachêco e PREMEBIDA, Cristiano e WOLF, Denis Fernando. Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads. Expert Systems With Applications, v. 270, p. 1-12, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2025.126485. Acesso em: 29 nov. 2025.
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      Gomes, I. P., Premebida, C., & Wolf, D. F. (2025). Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads. Expert Systems With Applications, 270, 1-12. doi:10.1016/j.eswa.2025.126485
    • NLM

      Gomes IP, Premebida C, Wolf DF. Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads [Internet]. Expert Systems With Applications. 2025 ; 270 1-12.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1016/j.eswa.2025.126485
    • Vancouver

      Gomes IP, Premebida C, Wolf DF. Multi-agent interaction-aware behavior intention prediction using graph mixture of experts attention network on urban roads [Internet]. Expert Systems With Applications. 2025 ; 270 1-12.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1016/j.eswa.2025.126485
  • Source: International Journal of Fuzzy Systems. Unidade: ICMC

    Subjects: LÓGICA FUZZY, TOMADA DE DECISÃO, ALGORITMOS, VEÍCULOS

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      GOMES, Iago Pachêco e WOLF, Denis Fernando. Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making. International Journal of Fuzzy Systems, v. 26, n. 2, p. 553-571, 2024Tradução . . Disponível em: https://doi.org/10.1007/s40815-023-01616-9. Acesso em: 29 nov. 2025.
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      Gomes, I. P., & Wolf, D. F. (2024). Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making. International Journal of Fuzzy Systems, 26( 2), 553-571. doi:10.1007/s40815-023-01616-9
    • NLM

      Gomes IP, Wolf DF. Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making [Internet]. International Journal of Fuzzy Systems. 2024 ; 26( 2): 553-571.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1007/s40815-023-01616-9
    • Vancouver

      Gomes IP, Wolf DF. Driving style recognition using interval type-2 fuzzy inference system and multiple experts decision-making [Internet]. International Journal of Fuzzy Systems. 2024 ; 26( 2): 553-571.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1007/s40815-023-01616-9
  • Source: Sensors. Unidade: ICMC

    Subjects: VEÍCULOS AUTÔNOMOS, SIMULAÇÃO, DIREÇÃO VEICULAR, SEGURANÇA VEICULAR

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      ROSERO, Luis Alberto Rosero et al. Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems. Sensors, v. 24, n. 7, p. 1-30, 2024Tradução . . Disponível em: https://doi.org/10.3390/s24072097. Acesso em: 29 nov. 2025.
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      Rosero, L. A. R., Gomes, I. P., Silva, J. A. R. da, Przewodowski Filho, C. A. B., Wolf, D. F., & Osório, F. S. (2024). Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems. Sensors, 24( 7), 1-30. doi:10.3390/s24072097
    • NLM

      Rosero LAR, Gomes IP, Silva JAR da, Przewodowski Filho CAB, Wolf DF, Osório FS. Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems [Internet]. Sensors. 2024 ; 24( 7): 1-30.[citado 2025 nov. 29 ] Available from: https://doi.org/10.3390/s24072097
    • Vancouver

      Rosero LAR, Gomes IP, Silva JAR da, Przewodowski Filho CAB, Wolf DF, Osório FS. Integrating modular pipelines with end-to-end learning: a hybrid approach for robust and reliable autonomous driving systems [Internet]. Sensors. 2024 ; 24( 7): 1-30.[citado 2025 nov. 29 ] Available from: https://doi.org/10.3390/s24072097
  • Source: Proceedings. Conference titles: International Conference on Intelligent Transportation Systems - ITSC. Unidade: ICMC

    Subjects: PREDIÇÃO, TRÁFEGO RODOVIÁRIO, SISTEMAS INTELIGENTES DE TRANSPORTES

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      GOMES, Iago Pachêco e PREMEBIDA, Cristiano e WOLF, Denis Fernando. Interaction-aware maneuver intention prediction using gated mixture-of-experts attention mechanism. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/ITSC57777.2023.10421818. Acesso em: 29 nov. 2025.
    • APA

      Gomes, I. P., Premebida, C., & Wolf, D. F. (2023). Interaction-aware maneuver intention prediction using gated mixture-of-experts attention mechanism. In Proceedings. Piscataway: IEEE. doi:10.1109/ITSC57777.2023.10421818
    • NLM

      Gomes IP, Premebida C, Wolf DF. Interaction-aware maneuver intention prediction using gated mixture-of-experts attention mechanism [Internet]. Proceedings. 2023 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/ITSC57777.2023.10421818
    • Vancouver

      Gomes IP, Premebida C, Wolf DF. Interaction-aware maneuver intention prediction using gated mixture-of-experts attention mechanism [Internet]. Proceedings. 2023 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/ITSC57777.2023.10421818
  • Source: Applied Soft Computing. Unidade: ICMC

    Subjects: RECONHECIMENTO DE IMAGEM, REDES NEURAIS

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      WATANABE, Thomio e WOLF, Denis Fernando. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, v. No 2021, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.107851. Acesso em: 29 nov. 2025.
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      Watanabe, T., & Wolf, D. F. (2021). Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function. Applied Soft Computing, No 2021, 1-10. doi:10.1016/j.asoc.2021.107851
    • NLM

      Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851
    • Vancouver

      Watanabe T, Wolf DF. Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function [Internet]. Applied Soft Computing. 2021 ; No 2021 1-10.[citado 2025 nov. 29 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851

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