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  • Source: Proceedings of Machine Learning Research. Conference titles: Annual AAAI Conference on Artificial Intelligence. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, ANÁLISE DE DESEMPENHO, EDUCAÇÃO

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      SILVA, Priscylla e SILVA, Claudio e NONATO, Luis Gustavo. Exploring the relationship between feature attribution methods and model performance. Proceedings of Machine Learning Research. Vancouver: AAAI. Disponível em: https://proceedings.mlr.press/v257/silva24a.html. Acesso em: 12 fev. 2026. , 2024
    • APA

      Silva, P., Silva, C., & Nonato, L. G. (2024). Exploring the relationship between feature attribution methods and model performance. Proceedings of Machine Learning Research. Vancouver: AAAI. Recuperado de https://proceedings.mlr.press/v257/silva24a.html
    • NLM

      Silva P, Silva C, Nonato LG. Exploring the relationship between feature attribution methods and model performance [Internet]. Proceedings of Machine Learning Research. 2024 ; 257 29-38.[citado 2026 fev. 12 ] Available from: https://proceedings.mlr.press/v257/silva24a.html
    • Vancouver

      Silva P, Silva C, Nonato LG. Exploring the relationship between feature attribution methods and model performance [Internet]. Proceedings of Machine Learning Research. 2024 ; 257 29-38.[citado 2026 fev. 12 ] Available from: https://proceedings.mlr.press/v257/silva24a.html
  • Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence. Unidade: ICMC

    Subjects: ENGENHARIA DE SOFTWARE, APRENDIZAGEM, JOGOS DE COMPUTADOR, ALGORITMOS

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    • ABNT

      MARIÑO, Julian Ricardo Hernandez et al. Programmatic strategies for real-Time strategy games. 2021, Anais.. Palo Alto: AAAI, 2021. Disponível em: https://doi.org/10.1609/aaai.v35i1.16114. Acesso em: 12 fev. 2026.
    • APA

      Mariño, J. R. H., Moraes, R. O., Oliveira, T. C., Toledo, C. F. M., & Lelis, L. H. S. (2021). Programmatic strategies for real-Time strategy games. In Proceedings. Palo Alto: AAAI. doi:10.1609/aaai.v35i1.16114
    • NLM

      Mariño JRH, Moraes RO, Oliveira TC, Toledo CFM, Lelis LHS. Programmatic strategies for real-Time strategy games [Internet]. Proceedings. 2021 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.1609/aaai.v35i1.16114
    • Vancouver

      Mariño JRH, Moraes RO, Oliveira TC, Toledo CFM, Lelis LHS. Programmatic strategies for real-Time strategy games [Internet]. Proceedings. 2021 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.1609/aaai.v35i1.16114
  • Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence. Unidade: IME

    Assunto: APRENDIZADO COMPUTACIONAL

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      BUENO, Thiago Pereira et al. Deep reactive policies for planning in stochastic nonlinear domains. 2019, Anais.. Palo Alto: AAAI, 2019. Disponível em: https://doi.org/10.1609/aaai.v33i01.33017530. Acesso em: 12 fev. 2026.
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      Bueno, T. P., Barros, L. N. de, Mauá, D. D., & Sanner, S. (2019). Deep reactive policies for planning in stochastic nonlinear domains. In Proceedings. Palo Alto: AAAI. doi:10.1609/aaai.v33i01.33017530
    • NLM

      Bueno TP, Barros LN de, Mauá DD, Sanner S. Deep reactive policies for planning in stochastic nonlinear domains [Internet]. Proceedings. 2019 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.1609/aaai.v33i01.33017530
    • Vancouver

      Bueno TP, Barros LN de, Mauá DD, Sanner S. Deep reactive policies for planning in stochastic nonlinear domains [Internet]. Proceedings. 2019 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.1609/aaai.v33i01.33017530
  • Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence. Unidade: IME

    Subjects: LÓGICA MATEMÁTICA, SEMÂNTICA DE PROGRAMAÇÃO

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      RIBEIRO, Jandson S e NAYAK, Abhaya e WASSERMANN, Renata. Belief change and non-monotonic reasoning sans compactness. 2019, Anais.. Palo Alto: AAAI, 2019. Disponível em: https://doi.org/10.1609/aaai.v33i01.33013019. Acesso em: 12 fev. 2026.
    • APA

      Ribeiro, J. S., Nayak, A., & Wassermann, R. (2019). Belief change and non-monotonic reasoning sans compactness. In Proceedings. Palo Alto: AAAI. doi:10.1609/aaai.v33i01.33013019
    • NLM

      Ribeiro JS, Nayak A, Wassermann R. Belief change and non-monotonic reasoning sans compactness [Internet]. Proceedings. 2019 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.1609/aaai.v33i01.33013019
    • Vancouver

      Ribeiro JS, Nayak A, Wassermann R. Belief change and non-monotonic reasoning sans compactness [Internet]. Proceedings. 2019 ;[citado 2026 fev. 12 ] Available from: https://doi.org/10.1609/aaai.v33i01.33013019
  • Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence. Unidade: IME

    Subjects: PROCESSOS DE MARKOV, PROGRAMAÇÃO DINÂMICA

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      VIANNA, Luis Gustavo Rocha e BARROS, Leliane Nunes de e SANNER, Scott. Real-time symbolic dynamic programming for hybrid MDPs. 2015, Anais.. Palo Alto: AAAI, 2015. Disponível em: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9701. Acesso em: 12 fev. 2026.
    • APA

      Vianna, L. G. R., Barros, L. N. de, & Sanner, S. (2015). Real-time symbolic dynamic programming for hybrid MDPs. In Proceedings. Palo Alto: AAAI. Recuperado de http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9701
    • NLM

      Vianna LGR, Barros LN de, Sanner S. Real-time symbolic dynamic programming for hybrid MDPs [Internet]. Proceedings. 2015 ;[citado 2026 fev. 12 ] Available from: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9701
    • Vancouver

      Vianna LGR, Barros LN de, Sanner S. Real-time symbolic dynamic programming for hybrid MDPs [Internet]. Proceedings. 2015 ;[citado 2026 fev. 12 ] Available from: http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/9701
  • Source: Proceedings. Conference titles: International Conference on Automated Planning and Scheduling - ICAPS. Unidades: EACH, IME, EP

    Subjects: PROCESSOS DE MARKOV, INTELIGÊNCIA ARTIFICIAL

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      DELGADO, Karina Valdivia et al. Factored Markov decision process with imprecise transition probabilities. 2014, Anais.. Palo Alto: AAAI, 2014. Disponível em: http://icaps14.icaps-conference.org/proceedings/mppu/MPPU_proceedings.pdf#page=5. Acesso em: 12 fev. 2026.
    • APA

      Delgado, K. V., Barros, L. N. de, Sanner, S., & Cozman, F. G. (2014). Factored Markov decision process with imprecise transition probabilities. In Proceedings. Palo Alto: AAAI. Recuperado de http://icaps14.icaps-conference.org/proceedings/mppu/MPPU_proceedings.pdf#page=5
    • NLM

      Delgado KV, Barros LN de, Sanner S, Cozman FG. Factored Markov decision process with imprecise transition probabilities [Internet]. Proceedings. 2014 ;[citado 2026 fev. 12 ] Available from: http://icaps14.icaps-conference.org/proceedings/mppu/MPPU_proceedings.pdf#page=5
    • Vancouver

      Delgado KV, Barros LN de, Sanner S, Cozman FG. Factored Markov decision process with imprecise transition probabilities [Internet]. Proceedings. 2014 ;[citado 2026 fev. 12 ] Available from: http://icaps14.icaps-conference.org/proceedings/mppu/MPPU_proceedings.pdf#page=5
  • Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence. Unidade: EP

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      CAMPOS, Cassio Polpo de e COZMAN, Fabio Gagliardi. Complexity of inferences in polytree-shaped semi-qualitative probabilistic networks. 2013, Anais.. San Francisco: AAAI, 2013. Disponível em: https://repositorio.usp.br/directbitstream/beff8521-2d0c-4770-b720-196853d9f9f5/Cozman-2013-Complexity%20of%20inferences%20in%20polytree%20shaped%20semi%20qualitative%20ok.pdf. Acesso em: 12 fev. 2026.
    • APA

      Campos, C. P. de, & Cozman, F. G. (2013). Complexity of inferences in polytree-shaped semi-qualitative probabilistic networks. In Proceedings. San Francisco: AAAI. Recuperado de https://repositorio.usp.br/directbitstream/beff8521-2d0c-4770-b720-196853d9f9f5/Cozman-2013-Complexity%20of%20inferences%20in%20polytree%20shaped%20semi%20qualitative%20ok.pdf
    • NLM

      Campos CP de, Cozman FG. Complexity of inferences in polytree-shaped semi-qualitative probabilistic networks [Internet]. Proceedings. 2013 ;[citado 2026 fev. 12 ] Available from: https://repositorio.usp.br/directbitstream/beff8521-2d0c-4770-b720-196853d9f9f5/Cozman-2013-Complexity%20of%20inferences%20in%20polytree%20shaped%20semi%20qualitative%20ok.pdf
    • Vancouver

      Campos CP de, Cozman FG. Complexity of inferences in polytree-shaped semi-qualitative probabilistic networks [Internet]. Proceedings. 2013 ;[citado 2026 fev. 12 ] Available from: https://repositorio.usp.br/directbitstream/beff8521-2d0c-4770-b720-196853d9f9f5/Cozman-2013-Complexity%20of%20inferences%20in%20polytree%20shaped%20semi%20qualitative%20ok.pdf
  • Source: Proceedings. Conference titles: AAAI Conference on Artificial Intelligence, 25. Unidade: IME

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      MENEZES, Maria Viviane de e BARROS, Leliane Nunes de. Model update for automated planning. 2011, Anais.. Menlo Park: AAAI, 2011. Disponível em: https://www.aaai.org/ocs/index.php/DC/DC11/paper/view/3536/4047. Acesso em: 12 fev. 2026.
    • APA

      Menezes, M. V. de, & Barros, L. N. de. (2011). Model update for automated planning. In Proceedings. Menlo Park: AAAI. Recuperado de https://www.aaai.org/ocs/index.php/DC/DC11/paper/view/3536/4047
    • NLM

      Menezes MV de, Barros LN de. Model update for automated planning [Internet]. Proceedings. 2011 ;[citado 2026 fev. 12 ] Available from: https://www.aaai.org/ocs/index.php/DC/DC11/paper/view/3536/4047
    • Vancouver

      Menezes MV de, Barros LN de. Model update for automated planning [Internet]. Proceedings. 2011 ;[citado 2026 fev. 12 ] Available from: https://www.aaai.org/ocs/index.php/DC/DC11/paper/view/3536/4047
  • Source: Proceedings. Conference titles: International Conference on Automated Planning and Scheduling - ICAPS. Unidades: EP, IME

    Subjects: PROBABILIDADE, PROCESSOS DE MARKOV

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      TREVIZAN, Felipe Werndl e COZMAN, Fabio Gagliardi e BARROS, Leliane Nunes de. Mixed probabilistic and nondeterministic factored planning through Markov decision processes with Set-valued transitions. 2008, Anais.. Menlo Park: AAAI, 2008. Disponível em: https://felipe.trevizan.org/papers/trevizan08:pdl.pdf. Acesso em: 12 fev. 2026.
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      Trevizan, F. W., Cozman, F. G., & Barros, L. N. de. (2008). Mixed probabilistic and nondeterministic factored planning through Markov decision processes with Set-valued transitions. In Proceedings. Menlo Park: AAAI. Recuperado de https://felipe.trevizan.org/papers/trevizan08:pdl.pdf
    • NLM

      Trevizan FW, Cozman FG, Barros LN de. Mixed probabilistic and nondeterministic factored planning through Markov decision processes with Set-valued transitions [Internet]. Proceedings. 2008 ;[citado 2026 fev. 12 ] Available from: https://felipe.trevizan.org/papers/trevizan08:pdl.pdf
    • Vancouver

      Trevizan FW, Cozman FG, Barros LN de. Mixed probabilistic and nondeterministic factored planning through Markov decision processes with Set-valued transitions [Internet]. Proceedings. 2008 ;[citado 2026 fev. 12 ] Available from: https://felipe.trevizan.org/papers/trevizan08:pdl.pdf
  • Source: Proceedings. Conference titles: Workshop on Evaluation Methods for Machine Learning II. Unidade: ICMC

    Assunto: COMPUTAÇÃO BIOINSPIRADA

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      COSTA, Eduardo de Paula et al. A review of performance evaluation measures for hierarchical classifiers. 2007, Anais.. Menlo Park: AAAI, 2007. . Acesso em: 12 fev. 2026.
    • APA

      Costa, E. de P., Lorena, A. C., Carvalho, A. C. P. de L. F. de, & Freitas, A. (2007). A review of performance evaluation measures for hierarchical classifiers. In Proceedings. Menlo Park: AAAI.
    • NLM

      Costa E de P, Lorena AC, Carvalho ACP de LF de, Freitas A. A review of performance evaluation measures for hierarchical classifiers. Proceedings. 2007 ;[citado 2026 fev. 12 ]
    • Vancouver

      Costa E de P, Lorena AC, Carvalho ACP de LF de, Freitas A. A review of performance evaluation measures for hierarchical classifiers. Proceedings. 2007 ;[citado 2026 fev. 12 ]
  • Source: Proceedings. Conference titles: American Association for Artificial Intelligence 98. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      WALDHERR, Stefan et al. Template-based recognition of pose and motion gestures on a mobile robot. 1998, Anais.. Wisconsin: AAAI, 1998. . Acesso em: 12 fev. 2026.
    • APA

      Waldherr, S., Thrun, S., Romero, R. A. F., & Margaritis, D. (1998). Template-based recognition of pose and motion gestures on a mobile robot. In Proceedings. Wisconsin: AAAI.
    • NLM

      Waldherr S, Thrun S, Romero RAF, Margaritis D. Template-based recognition of pose and motion gestures on a mobile robot. Proceedings. 1998 ;[citado 2026 fev. 12 ]
    • Vancouver

      Waldherr S, Thrun S, Romero RAF, Margaritis D. Template-based recognition of pose and motion gestures on a mobile robot. Proceedings. 1998 ;[citado 2026 fev. 12 ]

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