Filtros : "INTELIGÊNCIA ARTIFICIAL" "SILVA, VALDINEI FREIRE DA" Removidos: "Brasil" "Applied Intelligence" Limpar

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  • Source: Multimedia Tools and Applications. Unidade: EACH

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      SANCHES, Silvio Ricardo Rodrigues et al. Automatic generation of difficulty maps for datasets using neural network. Multimedia Tools and Applications, n. Ja 2024, p. 01-18, 2024Tradução . . Disponível em: http://dx.doi.org/10.1007/s11042-024-18271-3. Acesso em: 14 nov. 2024.
    • APA

      Sanches, S. R. R., Custódio Junior, E., Corrêa, C. G., Oliveira, C., Silva, V. F. da, Saito, P. T. M., & Bugatti, P. H. (2024). Automatic generation of difficulty maps for datasets using neural network. Multimedia Tools and Applications, ( Ja 2024), 01-18. doi:10.1007/s11042-024-18271-3
    • NLM

      Sanches SRR, Custódio Junior E, Corrêa CG, Oliveira C, Silva VF da, Saito PTM, Bugatti PH. Automatic generation of difficulty maps for datasets using neural network [Internet]. Multimedia Tools and Applications. 2024 ;( Ja 2024): 01-18.[citado 2024 nov. 14 ] Available from: http://dx.doi.org/10.1007/s11042-024-18271-3
    • Vancouver

      Sanches SRR, Custódio Junior E, Corrêa CG, Oliveira C, Silva VF da, Saito PTM, Bugatti PH. Automatic generation of difficulty maps for datasets using neural network [Internet]. Multimedia Tools and Applications. 2024 ;( Ja 2024): 01-18.[citado 2024 nov. 14 ] Available from: http://dx.doi.org/10.1007/s11042-024-18271-3
  • Source: Applied Intelligence: the international journal of artificial intelligence, neural networks, and complex problem-solving technologies. Unidade: EACH

    Subjects: INTELIGÊNCIA ARTIFICIAL, ALGORITMOS, PROCESSAMENTO DE IMAGENS

    Acesso à fonteDOIHow to cite
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    • ABNT

      SANCHES, Silvio Ricardo Rodrigues et al. Challenging situations for background subtraction algorithms. Applied Intelligence: the international journal of artificial intelligence, neural networks, and complex problem-solving technologies, v. 49, n. 5, p. 1771–1784, 2019Tradução . . Disponível em: https://doi.org/10.1007/s10489-018-1346-4. Acesso em: 14 nov. 2024.
    • APA

      Sanches, S. R. R., Oliveira, C., Sementille, A. C., & Silva, V. F. da. (2019). Challenging situations for background subtraction algorithms. Applied Intelligence: the international journal of artificial intelligence, neural networks, and complex problem-solving technologies, 49( 5), 1771–1784. doi:10.1007/s10489-018-1346-4
    • NLM

      Sanches SRR, Oliveira C, Sementille AC, Silva VF da. Challenging situations for background subtraction algorithms [Internet]. Applied Intelligence: the international journal of artificial intelligence, neural networks, and complex problem-solving technologies. 2019 ; 49( 5): 1771–1784.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10489-018-1346-4
    • Vancouver

      Sanches SRR, Oliveira C, Sementille AC, Silva VF da. Challenging situations for background subtraction algorithms [Internet]. Applied Intelligence: the international journal of artificial intelligence, neural networks, and complex problem-solving technologies. 2019 ; 49( 5): 1771–1784.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s10489-018-1346-4
  • Source: IEEE Transactions on Cybernetics. Unidades: EACH, EP

    Subjects: DINÂMICA ESTOCÁSTICA, ANÁLISE ESTOCÁSTICA, APRENDIZADO COMPUTACIONAL, INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      KOGA, Marcelo Li e SILVA, Valdinei Freire da e REALI COSTA, Anna Helena. Stochastic abstract policies: generalizing knowledge to improve reinforcement learning. IEEE Transactions on Cybernetics, v. 45, n. ja 2015, p. 77-88, 2015Tradução . . Disponível em: https://doi.org/10.1109/TCYB.2014.2319733. Acesso em: 14 nov. 2024.
    • APA

      Koga, M. L., Silva, V. F. da, & Reali Costa, A. H. (2015). Stochastic abstract policies: generalizing knowledge to improve reinforcement learning. IEEE Transactions on Cybernetics, 45( ja 2015), 77-88. doi:10.1109/TCYB.2014.2319733
    • NLM

      Koga ML, Silva VF da, Reali Costa AH. Stochastic abstract policies: generalizing knowledge to improve reinforcement learning [Internet]. IEEE Transactions on Cybernetics. 2015 ; 45( ja 2015): 77-88.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/TCYB.2014.2319733
    • Vancouver

      Koga ML, Silva VF da, Reali Costa AH. Stochastic abstract policies: generalizing knowledge to improve reinforcement learning [Internet]. IEEE Transactions on Cybernetics. 2015 ; 45( ja 2015): 77-88.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/TCYB.2014.2319733
  • Conference titles: RoboCup International Symposium. Unidades: EP, EACH

    Subjects: INTELIGÊNCIA ARTIFICIAL, ROBÓTICA, APRENDIZADO COMPUTACIONAL

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    • ABNT

      SILVA, Valdinei Freire da et al. Reusing risk-aware stochastic abstract policies in robotic navigation learning. 2014, Anais.. Berlin: Springer, 2014. Disponível em: https://repositorio.usp.br/directbitstream/5d87c375-54fa-41a7-aedb-8375552526dc/Cozman-2014-Reusing%20risk-aware%20stochastic%20abstract%20policies%20in%20robotic%20navigation%20learning.pdf. Acesso em: 14 nov. 2024.
    • APA

      Silva, V. F. da, Koga, M. L., Cozman, F. G., & Reali Costa, A. H. (2014). Reusing risk-aware stochastic abstract policies in robotic navigation learning. In . Berlin: Springer. Recuperado de https://repositorio.usp.br/directbitstream/5d87c375-54fa-41a7-aedb-8375552526dc/Cozman-2014-Reusing%20risk-aware%20stochastic%20abstract%20policies%20in%20robotic%20navigation%20learning.pdf
    • NLM

      Silva VF da, Koga ML, Cozman FG, Reali Costa AH. Reusing risk-aware stochastic abstract policies in robotic navigation learning [Internet]. 2014 ;[citado 2024 nov. 14 ] Available from: https://repositorio.usp.br/directbitstream/5d87c375-54fa-41a7-aedb-8375552526dc/Cozman-2014-Reusing%20risk-aware%20stochastic%20abstract%20policies%20in%20robotic%20navigation%20learning.pdf
    • Vancouver

      Silva VF da, Koga ML, Cozman FG, Reali Costa AH. Reusing risk-aware stochastic abstract policies in robotic navigation learning [Internet]. 2014 ;[citado 2024 nov. 14 ] Available from: https://repositorio.usp.br/directbitstream/5d87c375-54fa-41a7-aedb-8375552526dc/Cozman-2014-Reusing%20risk-aware%20stochastic%20abstract%20policies%20in%20robotic%20navigation%20learning.pdf
  • Conference titles: International Conference on Autonomous Agents and Multiagent Systems. Unidades: EP, EACH

    Subjects: INTELIGÊNCIA ARTIFICIAL, ROBÓTICA, APRENDIZADO COMPUTACIONAL

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    • ABNT

      KOGA, Marcelo Li et al. Speeding-up reinforcement learning through abstraction and transfer learning. 2013, Anais.. Red Hook, NY: IFAAMAS, 2013. Disponível em: https://repositorio.usp.br/directbitstream/7350f883-bab6-4471-ba96-5144fdee1a5b/Cozman-2013-Speeding%20up%20reinforcement%20learning%20ok.pdf. Acesso em: 14 nov. 2024.
    • APA

      Koga, M. L., Silva, V. F. da, Cozman, F. G., & Reali Costa, A. H. (2013). Speeding-up reinforcement learning through abstraction and transfer learning. In . Red Hook, NY: IFAAMAS. Recuperado de https://repositorio.usp.br/directbitstream/7350f883-bab6-4471-ba96-5144fdee1a5b/Cozman-2013-Speeding%20up%20reinforcement%20learning%20ok.pdf
    • NLM

      Koga ML, Silva VF da, Cozman FG, Reali Costa AH. Speeding-up reinforcement learning through abstraction and transfer learning [Internet]. 2013 ;[citado 2024 nov. 14 ] Available from: https://repositorio.usp.br/directbitstream/7350f883-bab6-4471-ba96-5144fdee1a5b/Cozman-2013-Speeding%20up%20reinforcement%20learning%20ok.pdf
    • Vancouver

      Koga ML, Silva VF da, Cozman FG, Reali Costa AH. Speeding-up reinforcement learning through abstraction and transfer learning [Internet]. 2013 ;[citado 2024 nov. 14 ] Available from: https://repositorio.usp.br/directbitstream/7350f883-bab6-4471-ba96-5144fdee1a5b/Cozman-2013-Speeding%20up%20reinforcement%20learning%20ok.pdf

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