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Filtros : "2021" "ICMC" "WOLF, DENIS FERNANDO" Limpar

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  • Artigo de periodico

    An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation (2021)

    Nakamura, Angelica Tiemi Mizuno ; Grassi Júnior, Valdir ; Wolf, Denis Fernando

    Source: Engineering Applications of Artificial Intelligence. Unidades: EESC, ICMC

    Subjects: TOMADA DE DECISÃO, ANÁLISE DE DESEMPENHO, APRENDIZADO COMPUTACIONAL

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    • ABNT

      NAKAMURA, Angelica Tiemi Mizuno e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation. Engineering Applications of Artificial Intelligence, v. 100, p. 1-10, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2021.104205. Acesso em: 14 nov. 2024.

    • APA

      Nakamura, A. T. M., Grassi Júnior, V., & Wolf, D. F. (2021). An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation. Engineering Applications of Artificial Intelligence, 100, 1-10. doi:10.1016/j.engappai.2021.104205

    • NLM

      Nakamura ATM, Grassi Júnior V, Wolf DF. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation [Internet]. Engineering Applications of Artificial Intelligence. 2021 ; 100 1-10.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.engappai.2021.104205

    • Vancouver

      Nakamura ATM, Grassi Júnior V, Wolf DF. An effective combination of loss gradients for multi-task learning applied on instance segmentation and depth estimation [Internet]. Engineering Applications of Artificial Intelligence. 2021 ; 100 1-10.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.engappai.2021.104205

  • Artigo de periodico

    Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties (2021)

    Massera Filho, Carlos Alberto de Magalhães ; Terra, Marco Henrique ; Wolf, Denis Fernando

    Source: International Journal of Control. Unidades: EESC, ICMC

    Subjects: CONTROLE (TEORIA DE SISTEMAS E CONTROLE), CONTROLE ÓTIMO, SISTEMAS LINEARES

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    • ABNT

      MASSERA FILHO, Carlos Alberto de Magalhães e TERRA, Marco Henrique e WOLF, Denis Fernando. Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties. International Journal of Control, v. 94, n. 4, p. 1132-1142, 2021Tradução . . Disponível em: https://doi.org/10.1080/00207179.2019.1634838. Acesso em: 14 nov. 2024.

    • APA

      Massera Filho, C. A. de M., Terra, M. H., & Wolf, D. F. (2021). Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties. International Journal of Control, 94( 4), 1132-1142. doi:10.1080/00207179.2019.1634838

    • NLM

      Massera Filho CA de M, Terra MH, Wolf DF. Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties [Internet]. International Journal of Control. 2021 ; 94( 4): 1132-1142.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/00207179.2019.1634838

    • Vancouver

      Massera Filho CA de M, Terra MH, Wolf DF. Optimal guaranteed cost control of discrete-time linear systems subject to structured uncertainties [Internet]. International Journal of Control. 2021 ; 94( 4): 1132-1142.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1080/00207179.2019.1634838

  • Artigo de periodico-carta/editorial

    ICAR 2019 Special Issue [Editorial] (2021)

    Pereira, Guilherme A. S (Editor) ; Drews Junior, Paulo L. J (Editor) ; Wolf, Denis Fernando (Editor) ; Mattos, Leonardo S (Editor)

    Source: Journal of Intelligent & Robotic Systems. Unidade: ICMC

    Assunto: ROBÓTICA

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      ICAR 2019 Special Issue [Editorial]. Journal of Intelligent & Robotic Systems. Dordrecht: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10846-021-01460-9. Acesso em: 14 nov. 2024. , 2021

    • APA

      ICAR 2019 Special Issue [Editorial]. (2021). ICAR 2019 Special Issue [Editorial]. Journal of Intelligent & Robotic Systems. Dordrecht: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/s10846-021-01460-9

    • NLM

      ICAR 2019 Special Issue [Editorial] [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 102 1-2.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10846-021-01460-9

    • Vancouver

      ICAR 2019 Special Issue [Editorial] [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 102 1-2.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10846-021-01460-9

  • Artigo de periodico

    Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function (2021)

    Watanabe, Thomio ; Wolf, Denis Fernando

    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: 14 nov. 2024.

    • APA

      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 2024 nov. 14 ] 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 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.asoc.2021.107851

  • Trabalho de evento

    Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information (2021)

    Silva, Júnior Anderson Rodrigues da ; Grassi Júnior, Valdir ; Wolf, Denis Fernando

    Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidades: EESC, ICMC

    Subjects: VEÍCULOS AUTÔNOMOS, VISÃO COMPUTACIONAL, PROCESSOS DE MARKOV

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      SILVA, Júnior Anderson Rodrigues da e GRASSI JÚNIOR, Valdir e WOLF, Denis Fernando. Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/ICAR53236.2021.9659406. Acesso em: 14 nov. 2024.

    • APA

      Silva, J. A. R. da, Grassi Júnior, V., & Wolf, D. F. (2021). Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICAR53236.2021.9659406

    • NLM

      Silva JAR da, Grassi Júnior V, Wolf DF. Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659406

    • Vancouver

      Silva JAR da, Grassi Júnior V, Wolf DF. Decision making for autonomous vehicles at signalized intersection under uncertain traffic signal phase and timing information [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659406

  • Trabalho de evento

    Improving multi-goal and target-driven reinforcement learning with supervised auxiliary task (2021)

    Horita, Luiz Ricardo Takeshi ; Nakamura, Angelica Tiemi Mizuno ; Wolf, Denis Fernando ; Grassi Júnior, Valdir

    Source: Proceedings. Conference titles: International Conference on Advanced Robotics - ICAR. Unidades: ICMC, EESC

    Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, VEÍCULOS AUTÔNOMOS

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      HORITA, Luiz Ricardo Takeshi et al. Improving multi-goal and target-driven reinforcement learning with supervised auxiliary task. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/ICAR53236.2021.9659467. Acesso em: 14 nov. 2024.

    • APA

      Horita, L. R. T., Nakamura, A. T. M., Wolf, D. F., & Grassi Júnior, V. (2021). Improving multi-goal and target-driven reinforcement learning with supervised auxiliary task. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICAR53236.2021.9659467

    • NLM

      Horita LRT, Nakamura ATM, Wolf DF, Grassi Júnior V. Improving multi-goal and target-driven reinforcement learning with supervised auxiliary task [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659467

    • Vancouver

      Horita LRT, Nakamura ATM, Wolf DF, Grassi Júnior V. Improving multi-goal and target-driven reinforcement learning with supervised auxiliary task [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/ICAR53236.2021.9659467

  • Artigo de periodico

    Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis (2021)

    Gomes, Iago Pachêco ; Wolf, Denis Fernando

    Source: Journal of Intelligent & Robotic Systems. Unidade: ICMC

    Subjects: VEÍCULOS AUTÔNOMOS, FALHAS COMPUTACIONAIS, APRENDIZADO COMPUTACIONAL, SISTEMAS DINÂMICOS

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      GOMES, Iago Pachêco e WOLF, Denis Fernando. Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis. Journal of Intelligent & Robotic Systems, v. 101, n. Ja 2021, p. 1-21, 2021Tradução . . Disponível em: https://doi.org/10.1007/s10846-020-01293-y. Acesso em: 14 nov. 2024.

    • APA

      Gomes, I. P., & Wolf, D. F. (2021). Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis. Journal of Intelligent & Robotic Systems, 101( Ja 2021), 1-21. doi:10.1007/s10846-020-01293-y

    • NLM

      Gomes IP, Wolf DF. Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 101( Ja 2021): 1-21.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10846-020-01293-y

    • Vancouver

      Gomes IP, Wolf DF. Health monitoring system for autonomous vehicles using dynamic bayesian networks for diagnosis and prognosis [Internet]. Journal of Intelligent & Robotic Systems. 2021 ; 101( Ja 2021): 1-21.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10846-020-01293-y
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