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Filtros : "COSTA, ANNA HELENA REALI" Limpar

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  • Artigo de periodico

    Neural network meta-models for FPSO motion prediction from environmental data with different platform loads (2022)

    COTRIM, LUCAS P.; Barreira, Rodrigo Augusto; Santos, Ismael Humberto Ferreira dos; Gomi, Edson Satoshi; Costa, Anna Helena Reali; Tannuri, Eduardo Aoun

    Source: IEEE Access. Unidade: EP

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS

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      COTRIM, LUCAS P. et al. Neural network meta-models for FPSO motion prediction from environmental data with different platform loads. IEEE Access, v. 10, p. 86558-86577, 2022Tradução . . Disponível em: Digital Object Identifier 10.1109/ACCESS.2022.3199009. Acesso em: 04 fev. 2023.

    • APA

      COTRIM, L. U. C. A. S. P., Barreira, R. A., Santos, I. H. F. dos, Gomi, E. S., Costa, A. H. R., & Tannuri, E. A. (2022). Neural network meta-models for FPSO motion prediction from environmental data with different platform loads. IEEE Access, 10, 86558-86577. doi:10.1109/ACCESS.2022.3199009

    • NLM

      COTRIM LUCASP, Barreira RA, Santos IHF dos, Gomi ES, Costa AHR, Tannuri EA. Neural network meta-models for FPSO motion prediction from environmental data with different platform loads [Internet]. IEEE Access. 2022 ;10 86558-86577.[citado 2023 fev. 04 ] Available from: Digital Object Identifier 10.1109/ACCESS.2022.3199009

    • Vancouver

      COTRIM LUCASP, Barreira RA, Santos IHF dos, Gomi ES, Costa AHR, Tannuri EA. Neural network meta-models for FPSO motion prediction from environmental data with different platform loads [Internet]. IEEE Access. 2022 ;10 86558-86577.[citado 2023 fev. 04 ] Available from: Digital Object Identifier 10.1109/ACCESS.2022.3199009

  • Artigo de periodico

    Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market (2022)

    Felizardo, Leonardo Kanashiro ; Brandimarte, Paolo; Del Moral Hernandez, Emilio ; Costa, Anna Helena Reali ; Matsumoto, Elia Yathie; Paiva, Francisco Caio Lima; Graves, Catharine de Vita

    Source: Expert Systems with Applications. Unidade: EP

    Assunto: APRENDIZADO COMPUTACIONAL

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      FELIZARDO, Leonardo Kanashiro et al. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, v. 202, p. 117259, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117259. Acesso em: 04 fev. 2023.

    • APA

      Felizardo, L. K., Brandimarte, P., Del Moral Hernandez, E., Costa, A. H. R., Matsumoto, E. Y., Paiva, F. C. L., & Graves, C. de V. (2022). Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market. Expert Systems with Applications, 202, 117259. doi:10.1016/j.eswa.2022.117259

    • NLM

      Felizardo LK, Brandimarte P, Del Moral Hernandez E, Costa AHR, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ;202 117259.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259

    • Vancouver

      Felizardo LK, Brandimarte P, Del Moral Hernandez E, Costa AHR, Matsumoto EY, Paiva FCL, Graves C de V. Outperforming algorithmic trading reinforcement learning systems: a supervised approach to the cryptocurrency market [Internet]. Expert Systems with Applications. 2022 ;202 117259.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.eswa.2022.117259

  • Artigo de periodico

    Intelligent Techniques Laboratory, Universidade de São Paulo (USP), São Paulo 05508-900 (2021)

    Silva, Isaac José da; Vilão Junior, Claudio O; Costa, Anna Helena Reali; Bianchi, Reinaldo Augusto da Costa

    Source: Journal of Control, Automation and Electrical Systems. Unidade: EP

    Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, ROBÓTICA

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      SILVA, Isaac José da et al. Intelligent Techniques Laboratory, Universidade de São Paulo (USP), São Paulo 05508-900. Journal of Control, Automation and Electrical Systems, v. 32, p. 884–894, 2021Tradução . . Disponível em: https://doi.org/10.1007/s40313-021-00719-8. Acesso em: 04 fev. 2023.

    • APA

      Silva, I. J. da, Vilão Junior, C. O., Costa, A. H. R., & Bianchi, R. A. da C. (2021). Intelligent Techniques Laboratory, Universidade de São Paulo (USP), São Paulo 05508-900. Journal of Control, Automation and Electrical Systems, 32, 884–894. doi:10.1007/s40313-021-00719-8

    • NLM

      Silva IJ da, Vilão Junior CO, Costa AHR, Bianchi RA da C. Intelligent Techniques Laboratory, Universidade de São Paulo (USP), São Paulo 05508-900 [Internet]. Journal of Control, Automation and Electrical Systems. 2021 ;32 884–894.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1007/s40313-021-00719-8

    • Vancouver

      Silva IJ da, Vilão Junior CO, Costa AHR, Bianchi RA da C. Intelligent Techniques Laboratory, Universidade de São Paulo (USP), São Paulo 05508-900 [Internet]. Journal of Control, Automation and Electrical Systems. 2021 ;32 884–894.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1007/s40313-021-00719-8

  • Artigo de periodico

    Using neural network approaches to detect mooring line failure (2021)

    Saad, Amir Muhammed ; Schopp, Florian ; Barreira, Rodrigo Augusto ; Santos, Ismael Humberto Ferreira dos; Tannuri, Eduardo Aoun ; Gomi, Edson Satoshi ; Reali Costa, Anna Helena

    Source: IEEE Access. Unidade: EP

    Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, AMARRAÇÃO, CABOS DE AMARRAÇÃO, ESTRUTURAS FLUTUANTES

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      SAAD, Amir Muhammed et al. Using neural network approaches to detect mooring line failure. IEEE Access, v. fe 2021, p. 27678-27695, 2021Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/b872384c-71c9-40e6-abf5-a8ebc82c814e/Tannuri-2021-Using%20neural%20network%20approaches%20to%20detect%20mooring%20line%20failure.pdf. Acesso em: 04 fev. 2023.

    • APA

      Saad, A. M., Schopp, F., Barreira, R. A., Santos, I. H. F. dos, Tannuri, E. A., Gomi, E. S., & Reali Costa, A. H. (2021). Using neural network approaches to detect mooring line failure. IEEE Access, fe 2021, 27678-27695. doi:10.1109/ACCESS.2021.3058592

    • NLM

      Saad AM, Schopp F, Barreira RA, Santos IHF dos, Tannuri EA, Gomi ES, Reali Costa AH. Using neural network approaches to detect mooring line failure [Internet]. IEEE Access. 2021 ; fe 2021 27678-27695.[citado 2023 fev. 04 ] Available from: https://repositorio.usp.br/directbitstream/b872384c-71c9-40e6-abf5-a8ebc82c814e/Tannuri-2021-Using%20neural%20network%20approaches%20to%20detect%20mooring%20line%20failure.pdf

    • Vancouver

      Saad AM, Schopp F, Barreira RA, Santos IHF dos, Tannuri EA, Gomi ES, Reali Costa AH. Using neural network approaches to detect mooring line failure [Internet]. IEEE Access. 2021 ; fe 2021 27678-27695.[citado 2023 fev. 04 ] Available from: https://repositorio.usp.br/directbitstream/b872384c-71c9-40e6-abf5-a8ebc82c814e/Tannuri-2021-Using%20neural%20network%20approaches%20to%20detect%20mooring%20line%20failure.pdf

  • Trabalho de evento

    Pirá: a bilingual portuguese-english dataset for question-answering about the ocean (2021)

    Paschoal, André Faleiros Alves; Pirozelli, Paulo ; Silva, Valdinei Freire da ; Delgado, Karina Valdivia ; Peres, Sarajane Marques ; José, Marcos Menon; Nakasato, Flávio; Oliveira, André Seidel; Brandão, Anarosa Alves Franco ; Costa, Anna Helena Reali ; Cozman, Fabio Gagliardi

    Source: Proceedings. Conference titles: ACM International Conference on Information and Knowledge Management - CIKM. Unidades: EACH, EP

    Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, TRADUÇÃO AUTOMÁTICA, COMPUTAÇÃO APLICADA

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      PASCHOAL, André Faleiros Alves et al. Pirá: a bilingual portuguese-english dataset for question-answering about the ocean. 2021, Anais.. Aachen: CEUR-WS, 2021. Disponível em: https://doi.org/10.1145/3459637.3482012. Acesso em: 04 fev. 2023.

    • APA

      Paschoal, A. F. A., Pirozelli, P., Silva, V. F. da, Delgado, K. V., Peres, S. M., José, M. M., et al. (2021). Pirá: a bilingual portuguese-english dataset for question-answering about the ocean. In Proceedings. Aachen: CEUR-WS. doi:10.1145/3459637.3482012

    • NLM

      Paschoal AFA, Pirozelli P, Silva VF da, Delgado KV, Peres SM, José MM, Nakasato F, Oliveira AS, Brandão AAF, Costa AHR, Cozman FG. Pirá: a bilingual portuguese-english dataset for question-answering about the ocean [Internet]. Proceedings. 2021 ;[citado 2023 fev. 04 ] Available from: https://doi.org/10.1145/3459637.3482012

    • Vancouver

      Paschoal AFA, Pirozelli P, Silva VF da, Delgado KV, Peres SM, José MM, Nakasato F, Oliveira AS, Brandão AAF, Costa AHR, Cozman FG. Pirá: a bilingual portuguese-english dataset for question-answering about the ocean [Internet]. Proceedings. 2021 ;[citado 2023 fev. 04 ] Available from: https://doi.org/10.1145/3459637.3482012

  • Parte de monografia/livro

    Trajetória acadêmica da inteligência artificial no Brasil (2021)

    Costa, Anna Helena Reali ; Barros, Leliane Nunes de ; Rezende, Solange Oliveira ; Sichman, Jaime S. ; Munhoz, Hugo Neri

    Source: Inteligência artificial : avanços e tendências. Unidades: EP, IME, ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      COSTA, Anna Helena Reali et al. Trajetória acadêmica da inteligência artificial no Brasil. Inteligência artificial : avanços e tendências. Tradução . São Paulo: Instituto de Estudos Avançados, 2021. . Disponível em: https://doi.org/10.11606/9786587773131. Acesso em: 04 fev. 2023.

    • APA

      Costa, A. H. R., Barros, L. N. de, Rezende, S. O., Sichman, J. S., & Munhoz, H. N. (2021). Trajetória acadêmica da inteligência artificial no Brasil. In Inteligência artificial : avanços e tendências. São Paulo: Instituto de Estudos Avançados. doi:10.11606/9786587773131

    • NLM

      Costa AHR, Barros LN de, Rezende SO, Sichman JS, Munhoz HN. Trajetória acadêmica da inteligência artificial no Brasil [Internet]. In: Inteligência artificial : avanços e tendências. São Paulo: Instituto de Estudos Avançados; 2021. [citado 2023 fev. 04 ] Available from: https://doi.org/10.11606/9786587773131

    • Vancouver

      Costa AHR, Barros LN de, Rezende SO, Sichman JS, Munhoz HN. Trajetória acadêmica da inteligência artificial no Brasil [Internet]. In: Inteligência artificial : avanços e tendências. São Paulo: Instituto de Estudos Avançados; 2021. [citado 2023 fev. 04 ] Available from: https://doi.org/10.11606/9786587773131

  • Artigo de periodico

    Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning (2020)

    Amendola, Jose; Miura, Lucas S; Costa, Anna Helena Reali ; Cozman, Fabio Gagliardi ; Tannuri, Eduardo Aoun

    Source: IEE ACCESS. Unidade: EP

    Assunto: APRENDIZADO COMPUTACIONAL

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      AMENDOLA, Jose et al. Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning. IEE ACCESS, v. 8, p. 149199, 2020Tradução . . Disponível em: Digital Object Identifier 10.1109/ACCESS.2020.3015661. Acesso em: 04 fev. 2023.

    • APA

      Amendola, J., Miura, L. S., Costa, A. H. R., Cozman, F. G., & Tannuri, E. A. (2020). Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning. IEE ACCESS, 8, 149199. doi:10.1109/ACCESS.2020.3015661

    • NLM

      Amendola J, Miura LS, Costa AHR, Cozman FG, Tannuri EA. Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning [Internet]. IEE ACCESS. 2020 ;8 149199.[citado 2023 fev. 04 ] Available from: Digital Object Identifier 10.1109/ACCESS.2020.3015661

    • Vancouver

      Amendola J, Miura LS, Costa AHR, Cozman FG, Tannuri EA. Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning [Internet]. IEE ACCESS. 2020 ;8 149199.[citado 2023 fev. 04 ] Available from: Digital Object Identifier 10.1109/ACCESS.2020.3015661

  • Artigo de periodico

    Qualitative case-based reasoning and learning (2020)

    Homem, Thiago Pedro Donadon; Costa, Anna Helena Reali; Bianchi, Reinaldo Augusto da Costa; Santos, Paulo Eduardo; López de Mantaras, Ramón

    Source: Artificial Intelligence. Unidade: EP

    Subjects: ROBÓTICA, APRENDIZADO COMPUTACIONAL

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      HOMEM, Thiago Pedro Donadon et al. Qualitative case-based reasoning and learning. Artificial Intelligence, v. 283, p. 103258, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.artint.2020.103258. Acesso em: 04 fev. 2023.

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      Homem, T. P. D., Costa, A. H. R., Bianchi, R. A. da C., Santos, P. E., & López de Mantaras, R. (2020). Qualitative case-based reasoning and learning. Artificial Intelligence, 283, 103258. doi:10.1016/j.artint.2020.103258

    • NLM

      Homem TPD, Costa AHR, Bianchi RA da C, Santos PE, López de Mantaras R. Qualitative case-based reasoning and learning [Internet]. Artificial Intelligence. 2020 ;283 103258.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.artint.2020.103258

    • Vancouver

      Homem TPD, Costa AHR, Bianchi RA da C, Santos PE, López de Mantaras R. Qualitative case-based reasoning and learning [Internet]. Artificial Intelligence. 2020 ;283 103258.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.artint.2020.103258

  • Artigo de periodico

    DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning (2020)

    Glatt, Ruben; Silva, Felipe Leno da; Bianchi, Reinaldo Augusto da Costa; Costa, Anna Helena Reali

    Source: Expert Systems with Applications. Unidade: EP

    Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL

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      GLATT, Ruben et al. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, v. 156, p. 113420, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2020.113420. Acesso em: 04 fev. 2023.

    • APA

      Glatt, R., Silva, F. L. da, Bianchi, R. A. da C., & Costa, A. H. R. (2020). DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning. Expert Systems with Applications, 156, 113420. doi:10.1016/j.eswa.2020.113420

    • NLM

      Glatt R, Silva FL da, Bianchi RA da C, Costa AHR. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420

    • Vancouver

      Glatt R, Silva FL da, Bianchi RA da C, Costa AHR. DECAF: deep case-based policy inference for knowledge transfer in reinforcement learning [Internet]. Expert Systems with Applications. 2020 ; 156 113420.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.eswa.2020.113420

  • Artigo de periodico

    Combining novelty and popularity on personalised recommendations via user profile learning (2020)

    Bertani, Ricardo Mitollo ; Bianchi, Reinaldo Augusto da Costa ; Reali Costa, Anna Helena

    Source: Expert Systems with Applications. Unidade: EP

    Assunto: ALGORITMOS

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      BERTANI, Ricardo Mitollo e BIANCHI, Reinaldo Augusto da Costa e REALI COSTA, Anna Helena. Combining novelty and popularity on personalised recommendations via user profile learning. Expert Systems with Applications, v. 146, p. 113149, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2019.113149. Acesso em: 04 fev. 2023.

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      Bertani, R. M., Bianchi, R. A. da C., & Reali Costa, A. H. (2020). Combining novelty and popularity on personalised recommendations via user profile learning. Expert Systems with Applications, 146, 113149. doi:10.1016/j.eswa.2019.113149

    • NLM

      Bertani RM, Bianchi RA da C, Reali Costa AH. Combining novelty and popularity on personalised recommendations via user profile learning [Internet]. Expert Systems with Applications. 2020 ; 146 113149.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149

    • Vancouver

      Bertani RM, Bianchi RA da C, Reali Costa AH. Combining novelty and popularity on personalised recommendations via user profile learning [Internet]. Expert Systems with Applications. 2020 ; 146 113149.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.eswa.2019.113149

  • Artigo de periodico

    Agents teaching agents: a survey on inter-agent transfer learning (2020)

    Silva, Felipe Leno da ; Reali Costa, Anna Helena ; Stone, Peter; Warnell, Garrett

    Source: Autonomous Agents and Multi-Agent Systems. Unidade: EP

    Subjects: SISTEMAS MULTIAGENTES, APRENDIZAO COMPUTACIONAL

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      SILVA, Felipe Leno da et al. Agents teaching agents: a survey on inter-agent transfer learning. Autonomous Agents and Multi-Agent Systems, v. 34, n. 9, p. 1-17, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10458-019-09430-0. Acesso em: 04 fev. 2023.

    • APA

      Silva, F. L. da, Reali Costa, A. H., Stone, P., & Warnell, G. (2020). Agents teaching agents: a survey on inter-agent transfer learning. Autonomous Agents and Multi-Agent Systems, 34( 9), 1-17. doi:10.1007/s10458-019-09430-0

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      Silva FL da, Reali Costa AH, Stone P, Warnell G. Agents teaching agents: a survey on inter-agent transfer learning [Internet]. Autonomous Agents and Multi-Agent Systems. 2020 ; 34( 9): 1-17.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1007/s10458-019-09430-0

    • Vancouver

      Silva FL da, Reali Costa AH, Stone P, Warnell G. Agents teaching agents: a survey on inter-agent transfer learning [Internet]. Autonomous Agents and Multi-Agent Systems. 2020 ; 34( 9): 1-17.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1007/s10458-019-09430-0

  • Artigo de periodico

    Coordination of electric vehicle charging through multiagent reinforcement learning (2020)

    Silva, Felipe Leno da; Nishida, Cyntia Eico Hayama; ROIJERS, DIEDERIK M; Costa, Anna Helena Reali

    Source: EEE TRANSACTIONS ON SMART GRID. Unidade: EP

    Subjects: SISTEMAS MULTIAGENTES, APRENDIZADO COMPUTACIONAL

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      SILVA, Felipe Leno da et al. Coordination of electric vehicle charging through multiagent reinforcement learning. EEE TRANSACTIONS ON SMART GRID, v. 11, p. 2347-2356, 2020Tradução . . Disponível em: http://www.ieee.org/publications_standards/publications/rights/index.html for more information. Acesso em: 04 fev. 2023.

    • APA

      Silva, F. L. da, Nishida, C. E. H., ROIJERS, D. I. E. D. E. R. I. K. M., & Costa, A. H. R. (2020). Coordination of electric vehicle charging through multiagent reinforcement learning. EEE TRANSACTIONS ON SMART GRID, 11, 2347-2356. doi:10.1109/TSG.2019.2952331

    • NLM

      Silva FL da, Nishida CEH, ROIJERS DIEDERIKM, Costa AHR. Coordination of electric vehicle charging through multiagent reinforcement learning [Internet]. EEE TRANSACTIONS ON SMART GRID. 2020 ;11 2347-2356.[citado 2023 fev. 04 ] Available from: http://www.ieee.org/publications_standards/publications/rights/index.html for more information.

    • Vancouver

      Silva FL da, Nishida CEH, ROIJERS DIEDERIKM, Costa AHR. Coordination of electric vehicle charging through multiagent reinforcement learning [Internet]. EEE TRANSACTIONS ON SMART GRID. 2020 ;11 2347-2356.[citado 2023 fev. 04 ] Available from: http://www.ieee.org/publications_standards/publications/rights/index.html for more information.

  • Artigo de periodico

    A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning (2020)

    Nishida, Cyntia Eico Hayama; Bianchi, Reinaldo Augusto da Costa; Costa, Anna Helena Reali

    Source: Artificial Intelligence in Medicine. Unidade: EP

    Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS

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      NISHIDA, Cyntia Eico Hayama e BIANCHI, Reinaldo Augusto da Costa e COSTA, Anna Helena Reali. A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning. Artificial Intelligence in Medicine, v. 107, p. 101853, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.artmed.2020.101853. Acesso em: 04 fev. 2023.

    • APA

      Nishida, C. E. H., Bianchi, R. A. da C., & Costa, A. H. R. (2020). A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning. Artificial Intelligence in Medicine, 107, 101853. doi:10.1016/j.artmed.2020.101853

    • NLM

      Nishida CEH, Bianchi RA da C, Costa AHR. A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning [Internet]. Artificial Intelligence in Medicine. 2020 ; 107 101853.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.artmed.2020.101853

    • Vancouver

      Nishida CEH, Bianchi RA da C, Costa AHR. A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning [Internet]. Artificial Intelligence in Medicine. 2020 ; 107 101853.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.artmed.2020.101853

  • Artigo de periodico

    MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning (2019)

    Silva, Felipe Leno da ; Reali Costa, Anna Helena ; Glatt, Ruben

    Source: IEEE Transactions on Cybernetics. Unidade: EP

    Assunto: APRENDIZADO COMPUTACIONAL

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      SILVA, Felipe Leno da e REALI COSTA, Anna Helena e GLATT, Ruben. MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning. IEEE Transactions on Cybernetics, v. 49 , n. 2, p. 567-579, 2019Tradução . . Disponível em: https://doi.org/10.1109/TCYB.2017.2781130. Acesso em: 04 fev. 2023.

    • APA

      Silva, F. L. da, Reali Costa, A. H., & Glatt, R. (2019). MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning. IEEE Transactions on Cybernetics, 49 ( 2), 567-579. doi:10.1109/TCYB.2017.2781130

    • NLM

      Silva FL da, Reali Costa AH, Glatt R. MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning [Internet]. IEEE Transactions on Cybernetics. 2019 ; 49 ( 2): 567-579.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1109/TCYB.2017.2781130

    • Vancouver

      Silva FL da, Reali Costa AH, Glatt R. MOO-MDP: an Object-Oriented Representation for Cooperative Multiagent Reinforcement Learning [Internet]. IEEE Transactions on Cybernetics. 2019 ; 49 ( 2): 567-579.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1109/TCYB.2017.2781130

  • Artigo de periodico

    A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems (2019)

    Silva, Felipe Leno da ; Reali Costa, Anna Helena

    Source: Journal of Artificial Intelligence Research. Unidade: EP

    Assunto: APRENDIZADO COMPUTACIONAL

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      SILVA, Felipe Leno da e REALI COSTA, Anna Helena. A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems. Journal of Artificial Intelligence Research, v. 64, p. 645-703, 2019Tradução . . Disponível em: https://doi.org/10.1613/jair.1.11396. Acesso em: 04 fev. 2023.

    • APA

      Silva, F. L. da, & Reali Costa, A. H. (2019). A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems. Journal of Artificial Intelligence Research, 64, 645-703. doi:10.1613/jair.1.11396

    • NLM

      Silva FL da, Reali Costa AH. A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems [Internet]. Journal of Artificial Intelligence Research. 2019 ; 64 645-703.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1613/jair.1.11396

    • Vancouver

      Silva FL da, Reali Costa AH. A Survey on Transfer Learning for Multiagent Reinforcement Learning Systems [Internet]. Journal of Artificial Intelligence Research. 2019 ; 64 645-703.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1613/jair.1.11396

  • Artigo de periodico

    Introduction to the Special Section on Artificial Intelligence for Smart Systems (2019)

    Bajwa, Imran Sarwar; Reali Costa, Anna Helena ; Bentahar, Jamal

    Source: Computers & Electrical Engineering. Unidade: EP

    Assunto: INTELIGÊNCIA ARTIFICIAL

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    • ABNT

      BAJWA, Imran Sarwar e REALI COSTA, Anna Helena e BENTAHAR, Jamal. Introduction to the Special Section on Artificial Intelligence for Smart Systems. Computers & Electrical Engineering, v. 79, p. 1-3, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compeleceng.2019.106469. Acesso em: 04 fev. 2023.

    • APA

      Bajwa, I. S., Reali Costa, A. H., & Bentahar, J. (2019). Introduction to the Special Section on Artificial Intelligence for Smart Systems. Computers & Electrical Engineering, 79, 1-3. doi:10.1016/j.compeleceng.2019.106469

    • NLM

      Bajwa IS, Reali Costa AH, Bentahar J. Introduction to the Special Section on Artificial Intelligence for Smart Systems [Internet]. Computers & Electrical Engineering. 2019 ; 79 1-3.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.compeleceng.2019.106469

    • Vancouver

      Bajwa IS, Reali Costa AH, Bentahar J. Introduction to the Special Section on Artificial Intelligence for Smart Systems [Internet]. Computers & Electrical Engineering. 2019 ; 79 1-3.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.compeleceng.2019.106469

  • Artigo de periodico

    Pairwise registration in indoor environments using adaptive combination of 2D and 3D cues (2018)

    Perafan Villota, Juan Carlos; Reali Costa, Anna Helena ; Silva, Felipe Leno da ; Jacomini, Ricardo de Souza

    Source: Image and Vision Computing. Unidade: EP

    Subjects: VISÃO COMPUTACIONAL, IMAGEM 3D

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      PERAFAN VILLOTA, Juan Carlos et al. Pairwise registration in indoor environments using adaptive combination of 2D and 3D cues. Image and Vision Computing, v. 69, p. 113-124, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.imavis.2017.08.008. Acesso em: 04 fev. 2023.

    • APA

      Perafan Villota, J. C., Reali Costa, A. H., Silva, F. L. da, & Jacomini, R. de S. (2018). Pairwise registration in indoor environments using adaptive combination of 2D and 3D cues. Image and Vision Computing, 69, 113-124. doi:10.1016/j.imavis.2017.08.008

    • NLM

      Perafan Villota JC, Reali Costa AH, Silva FL da, Jacomini R de S. Pairwise registration in indoor environments using adaptive combination of 2D and 3D cues [Internet]. Image and Vision Computing. 2018 ; 69 113-124.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.imavis.2017.08.008

    • Vancouver

      Perafan Villota JC, Reali Costa AH, Silva FL da, Jacomini R de S. Pairwise registration in indoor environments using adaptive combination of 2D and 3D cues [Internet]. Image and Vision Computing. 2018 ; 69 113-124.[citado 2023 fev. 04 ] Available from: https://doi.org/10.1016/j.imavis.2017.08.008

  • Artigo de periodico

    GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis (2017)

    Jacomini, Ricardo de Souza; Martins-Jr, David ; Silva, Felipe Leno da ; Reali Costa, Anna Helena

    Source: Journal of Computational Biology. Unidade: EP

    Assunto: FRAMEWORKS

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      JACOMINI, Ricardo de Souza et al. GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis. Journal of Computational Biology, 2017Tradução . . Disponível em: https://doi.org/10.1089/cmb.2017.0022. Acesso em: 04 fev. 2023.

    • APA

      Jacomini, R. de S., Martins-Jr, D., Silva, F. L. da, & Reali Costa, A. H. (2017). GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis. Journal of Computational Biology. doi:10.1089/cmb.2017.0022

    • NLM

      Jacomini R de S, Martins-Jr D, Silva FL da, Reali Costa AH. GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis [Internet]. Journal of Computational Biology. 2017 ;[citado 2023 fev. 04 ] Available from: https://doi.org/10.1089/cmb.2017.0022

    • Vancouver

      Jacomini R de S, Martins-Jr D, Silva FL da, Reali Costa AH. GeNICE: a Novel Framework for Gene Network Inference by Clustering, Exhaustive Search, and Multivariate Analysis [Internet]. Journal of Computational Biology. 2017 ;[citado 2023 fev. 04 ] Available from: https://doi.org/10.1089/cmb.2017.0022

  • Artigo de periodico

    Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images (2015)

    Silva, Felipe Leno da ; Grassi-Sella, Marina Lopes; Francoy, Tiago Mauricio ; Reali Costa, Anna Helena

    Source: Computers and Electronics in Agriculture. Unidades: EACH, EP, FMRP

    Subjects: ABELHAS (CLASSIFICAÇÃO;IDENTIFICAÇÃO), MORFOMETRIA

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    • ABNT

      SILVA, Felipe Leno da et al. Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images. Computers and Electronics in Agriculture, v. 114, n. ju 2015, p. 68-77, 2015Tradução . . Disponível em: http://dx.doi.org/10.1016/j.compag.2015.03.012. Acesso em: 04 fev. 2023.

    • APA

      Silva, F. L. da, Grassi-Sella, M. L., Francoy, T. M., & Reali Costa, A. H. (2015). Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images. Computers and Electronics in Agriculture, 114( ju 2015), 68-77. doi:10.1016/j.compag.2015.03.012

    • NLM

      Silva FL da, Grassi-Sella ML, Francoy TM, Reali Costa AH. Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images [Internet]. Computers and Electronics in Agriculture. 2015 ; 114( ju 2015): 68-77.[citado 2023 fev. 04 ] Available from: http://dx.doi.org/10.1016/j.compag.2015.03.012

    • Vancouver

      Silva FL da, Grassi-Sella ML, Francoy TM, Reali Costa AH. Evaluating classification and feature selection techniques for honeybee subspecies identification using wing images [Internet]. Computers and Electronics in Agriculture. 2015 ; 114( ju 2015): 68-77.[citado 2023 fev. 04 ] Available from: http://dx.doi.org/10.1016/j.compag.2015.03.012

  • Artigo de periodico

    Stochastic abstract policies: generalizing knowledge to improve reinforcement learning (2015)

    Koga, Marcelo Li; Silva, Valdinei Freire da; Reali Costa, Anna Helena

    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: http://dx.doi.org/10.1109/TCYB.2014.2319733. Acesso em: 04 fev. 2023.

    • 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 2023 fev. 04 ] Available from: http://dx.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 2023 fev. 04 ] Available from: http://dx.doi.org/10.1109/TCYB.2014.2319733

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