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  • Source: Proceedings. Conference titles: European Conference on Artificial Intelligence - ECAI. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, COMPUTAÇÃO GRÁFICA

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      RIVA, Mateus e PONTI, Moacir Antonelli e CAMPOS, Teófilo de. One-class to multi-class model update using the class-incremental optimum-path forest classifier. 2016, Anais.. Amsterdam: IOS Press, 2016. Disponível em: https://doi.org/10.3233/978-1-61499-672-9-216. Acesso em: 29 maio 2024.
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      Riva, M., Ponti, M. A., & Campos, T. de. (2016). One-class to multi-class model update using the class-incremental optimum-path forest classifier. In Proceedings. Amsterdam: IOS Press. doi:10.3233/978-1-61499-672-9-216
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      Riva M, Ponti MA, Campos T de. One-class to multi-class model update using the class-incremental optimum-path forest classifier [Internet]. Proceedings. 2016 ;[citado 2024 maio 29 ] Available from: https://doi.org/10.3233/978-1-61499-672-9-216
    • Vancouver

      Riva M, Ponti MA, Campos T de. One-class to multi-class model update using the class-incremental optimum-path forest classifier [Internet]. Proceedings. 2016 ;[citado 2024 maio 29 ] Available from: https://doi.org/10.3233/978-1-61499-672-9-216
  • Source: Proceedings. Conference titles: European Conference on Artificial Intelligence - ECAI. Unidade: IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, LÓGICA MATEMÁTICA

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      HERZIG, Andreas et al. On the revision of planning tasks. 2014, Anais.. Amsterdam: IOS Press, 2014. Disponível em: https://doi.org/10.3233/978-1-61499-419-0-435. Acesso em: 29 maio 2024.
    • APA

      Herzig, A., Menezes, M. V., Barros, L. N. de, & Wassermann, R. (2014). On the revision of planning tasks. In Proceedings. Amsterdam: IOS Press. doi:10.3233/978-1-61499-419-0-435
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      Herzig A, Menezes MV, Barros LN de, Wassermann R. On the revision of planning tasks [Internet]. Proceedings. 2014 ;[citado 2024 maio 29 ] Available from: https://doi.org/10.3233/978-1-61499-419-0-435
    • Vancouver

      Herzig A, Menezes MV, Barros LN de, Wassermann R. On the revision of planning tasks [Internet]. Proceedings. 2014 ;[citado 2024 maio 29 ] Available from: https://doi.org/10.3233/978-1-61499-419-0-435
  • Source: Web intelligence and security : advances in data and text mining techniques for detecting and preventing terrorist activities on the web. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS

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      GAMA, João et al. Knowledge discovery from data streams. Web intelligence and security : advances in data and text mining techniques for detecting and preventing terrorist activities on the web. Tradução . Amsterdam: IOS Press, 2010. . Disponível em: https://doi.org/10.3233/978-1-60750-611-9-125. Acesso em: 29 maio 2024.
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      Gama, J., Rodrigues, P. P., Spinosa, E., & Carvalho, A. C. P. de L. F. de. (2010). Knowledge discovery from data streams. In Web intelligence and security : advances in data and text mining techniques for detecting and preventing terrorist activities on the web. Amsterdam: IOS Press. doi:10.3233/978-1-60750-611-9-125
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      Gama J, Rodrigues PP, Spinosa E, Carvalho ACP de LF de. Knowledge discovery from data streams [Internet]. In: Web intelligence and security : advances in data and text mining techniques for detecting and preventing terrorist activities on the web. Amsterdam: IOS Press; 2010. [citado 2024 maio 29 ] Available from: https://doi.org/10.3233/978-1-60750-611-9-125
    • Vancouver

      Gama J, Rodrigues PP, Spinosa E, Carvalho ACP de LF de. Knowledge discovery from data streams [Internet]. In: Web intelligence and security : advances in data and text mining techniques for detecting and preventing terrorist activities on the web. Amsterdam: IOS Press; 2010. [citado 2024 maio 29 ] Available from: https://doi.org/10.3233/978-1-60750-611-9-125
  • Source: Proceedings. Conference titles: European Conference on Artificial Intelligence - ECAI. Unidade: IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, REPRESENTAÇÃO DE CONHECIMENTO

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      BOOTH, Richard et al. Horn belief change: a contraction core. 2010, Anais.. Amsterdam: IOS Press, 2010. Disponível em: https://doi.org/10.3233/978-1-60750-606-5-1065. Acesso em: 29 maio 2024.
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      Booth, R., Meyer, T., Varzinczak, I., & Wassermann, R. (2010). Horn belief change: a contraction core. In Proceedings. Amsterdam: IOS Press. doi:10.3233/978-1-60750-606-5-1065
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      Booth R, Meyer T, Varzinczak I, Wassermann R. Horn belief change: a contraction core [Internet]. Proceedings. 2010 ;[citado 2024 maio 29 ] Available from: https://doi.org/10.3233/978-1-60750-606-5-1065
    • Vancouver

      Booth R, Meyer T, Varzinczak I, Wassermann R. Horn belief change: a contraction core [Internet]. Proceedings. 2010 ;[citado 2024 maio 29 ] Available from: https://doi.org/10.3233/978-1-60750-606-5-1065
  • Source: Proceedings. Conference titles: European Conference on Artificial Intelligence - ECAI. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      GUTIÉRREZ, Víctor Antonio Laguna e LOPES, Alneu de Andrade. Combining local and global KNN with cotraining. 2010, Anais.. Amsterdam: IOS Press, 2010. Disponível em: https://doi.org/10.3233/978-1-60750-606-5-815. Acesso em: 29 maio 2024.
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      Gutiérrez, V. A. L., & Lopes, A. de A. (2010). Combining local and global KNN with cotraining. In Proceedings. Amsterdam: IOS Press. doi:10.3233/978-1-60750-606-5-815
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      Gutiérrez VAL, Lopes A de A. Combining local and global KNN with cotraining [Internet]. Proceedings. 2010 ;[citado 2024 maio 29 ] Available from: https://doi.org/10.3233/978-1-60750-606-5-815
    • Vancouver

      Gutiérrez VAL, Lopes A de A. Combining local and global KNN with cotraining [Internet]. Proceedings. 2010 ;[citado 2024 maio 29 ] Available from: https://doi.org/10.3233/978-1-60750-606-5-815
  • Source: Advances in Logic Based Intelligent Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      BERNARDINI, Flávia Cristina e MONARD, Maria Carolina. Methods for constructing symbolic ensembles from symbolic classifiers. Advances in Logic Based Intelligent Systems. Tradução . Amsterdam: IOS Press, 2005. . . Acesso em: 29 maio 2024.
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      Bernardini, F. C., & Monard, M. C. (2005). Methods for constructing symbolic ensembles from symbolic classifiers. In Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press.
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      Bernardini FC, Monard MC. Methods for constructing symbolic ensembles from symbolic classifiers. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2024 maio 29 ]
    • Vancouver

      Bernardini FC, Monard MC. Methods for constructing symbolic ensembles from symbolic classifiers. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2024 maio 29 ]
  • Source: Advances in Logic Based Intelligent Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      MATSUBARA, Edson Takashi e MONARD, Maria Carolina e BATISTA, Gustavo Enrique de Almeida Prado Alves. Multi-view semi-supervised learning: an approach to obtain different views from text datasets. Advances in Logic Based Intelligent Systems. Tradução . Amsterdam: IOS Press, 2005. . . Acesso em: 29 maio 2024.
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      Matsubara, E. T., Monard, M. C., & Batista, G. E. de A. P. A. (2005). Multi-view semi-supervised learning: an approach to obtain different views from text datasets. In Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press.
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      Matsubara ET, Monard MC, Batista GE de APA. Multi-view semi-supervised learning: an approach to obtain different views from text datasets. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2024 maio 29 ]
    • Vancouver

      Matsubara ET, Monard MC, Batista GE de APA. Multi-view semi-supervised learning: an approach to obtain different views from text datasets. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2024 maio 29 ]
  • Source: Advances in Logic Based Intelligent Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      MELO, Vinicius Veloso de e LOPES, Alneu de Andrade. Efficient identification of duplicate bibliographical references. Advances in Logic Based Intelligent Systems. Tradução . Amsterdam: IOS Press, 2005. . . Acesso em: 29 maio 2024.
    • APA

      Melo, V. V. de, & Lopes, A. de A. (2005). Efficient identification of duplicate bibliographical references. In Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press.
    • NLM

      Melo VV de, Lopes A de A. Efficient identification of duplicate bibliographical references. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2024 maio 29 ]
    • Vancouver

      Melo VV de, Lopes A de A. Efficient identification of duplicate bibliographical references. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2024 maio 29 ]
  • Source: Artificial Intelligence in Education. Unidades: ICMC, FCF, IFSC

    Subjects: EDUCAÇÃO, INTELIGÊNCIA ARTIFICIAL

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      ALUÍSIO, Sandra Maria et al. Evaluating scientific abstracts with a genre-specific rubric. Artificial Intelligence in Education. Tradução . Amsterdam: IOS Press, 2005. . . Acesso em: 29 maio 2024.
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      Aluísio, S. M., Schuster, E., Feltrim, V., Pessoa Junior, A., & Oliveira Junior, O. N. de. (2005). Evaluating scientific abstracts with a genre-specific rubric. In Artificial Intelligence in Education. Amsterdam: IOS Press.
    • NLM

      Aluísio SM, Schuster E, Feltrim V, Pessoa Junior A, Oliveira Junior ON de. Evaluating scientific abstracts with a genre-specific rubric. In: Artificial Intelligence in Education. Amsterdam: IOS Press; 2005. [citado 2024 maio 29 ]
    • Vancouver

      Aluísio SM, Schuster E, Feltrim V, Pessoa Junior A, Oliveira Junior ON de. Evaluating scientific abstracts with a genre-specific rubric. In: Artificial Intelligence in Education. Amsterdam: IOS Press; 2005. [citado 2024 maio 29 ]
  • Source: Advances in Logic Based Intelligent Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      LEE, Huei Diana e MONARD, Maria Carolina e WU, Feng Chung. Feature subset selection for supervised learning using fractal dimension. Advances in Logic Based Intelligent Systems. Tradução . Amsterdam: IOS Press, 2005. . . Acesso em: 29 maio 2024.
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      Lee, H. D., Monard, M. C., & Wu, F. C. (2005). Feature subset selection for supervised learning using fractal dimension. In Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press.
    • NLM

      Lee HD, Monard MC, Wu FC. Feature subset selection for supervised learning using fractal dimension. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2024 maio 29 ]
    • Vancouver

      Lee HD, Monard MC, Wu FC. Feature subset selection for supervised learning using fractal dimension. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2024 maio 29 ]
  • Source: ECAI 2004 : proceedings. Conference titles: European Conference on Artificial Intelligence. Unidade: EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, RACIOCÍNIO, PROBABILIDADE

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      COZMAN, Fabio Gagliardi. Axiomatizing noisy-OR. 2004, Anais.. Amsterdam: IOS Press, 2004. Disponível em: https://repositorio.usp.br/directbitstream/c674e80a-e2d1-4e76-bc2b-519a1d01336a/Cozman-2004-Axiomatizing%20noisy-OR.pdf. Acesso em: 29 maio 2024.
    • APA

      Cozman, F. G. (2004). Axiomatizing noisy-OR. In ECAI 2004 : proceedings. Amsterdam: IOS Press. Recuperado de https://repositorio.usp.br/directbitstream/c674e80a-e2d1-4e76-bc2b-519a1d01336a/Cozman-2004-Axiomatizing%20noisy-OR.pdf
    • NLM

      Cozman FG. Axiomatizing noisy-OR [Internet]. ECAI 2004 : proceedings. 2004 ;[citado 2024 maio 29 ] Available from: https://repositorio.usp.br/directbitstream/c674e80a-e2d1-4e76-bc2b-519a1d01336a/Cozman-2004-Axiomatizing%20noisy-OR.pdf
    • Vancouver

      Cozman FG. Axiomatizing noisy-OR [Internet]. ECAI 2004 : proceedings. 2004 ;[citado 2024 maio 29 ] Available from: https://repositorio.usp.br/directbitstream/c674e80a-e2d1-4e76-bc2b-519a1d01336a/Cozman-2004-Axiomatizing%20noisy-OR.pdf
  • Source: ECAI 2004 : proceedings. Conference titles: European Conference on Artificial Intelligence. Unidade: EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, INFERÊNCIA BAYESIANA, REDES NEURAIS, ALGORITMOS, PROBABILIDADE

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      CAMPOS, Cassio Polpo de e COZMAN, Fabio Gagliardi. Inference in credal networks using multilinear programming. 2004, Anais.. Amsterdam: IOS Press, 2004. Disponível em: https://repositorio.usp.br/directbitstream/1f736784-5212-4cf6-9b9a-637ede61893f/Cozman-2004-Inference%20in%20credal%20networks%20using%20multilinear.pdf. Acesso em: 29 maio 2024.
    • APA

      Campos, C. P. de, & Cozman, F. G. (2004). Inference in credal networks using multilinear programming. In ECAI 2004 : proceedings. Amsterdam: IOS Press. Recuperado de https://repositorio.usp.br/directbitstream/1f736784-5212-4cf6-9b9a-637ede61893f/Cozman-2004-Inference%20in%20credal%20networks%20using%20multilinear.pdf
    • NLM

      Campos CP de, Cozman FG. Inference in credal networks using multilinear programming [Internet]. ECAI 2004 : proceedings. 2004 ;[citado 2024 maio 29 ] Available from: https://repositorio.usp.br/directbitstream/1f736784-5212-4cf6-9b9a-637ede61893f/Cozman-2004-Inference%20in%20credal%20networks%20using%20multilinear.pdf
    • Vancouver

      Campos CP de, Cozman FG. Inference in credal networks using multilinear programming [Internet]. ECAI 2004 : proceedings. 2004 ;[citado 2024 maio 29 ] Available from: https://repositorio.usp.br/directbitstream/1f736784-5212-4cf6-9b9a-637ede61893f/Cozman-2004-Inference%20in%20credal%20networks%20using%20multilinear.pdf
  • Source: ECAI 2004 : proceedings. Conference titles: European Conference on Artificial Intelligence. Unidade: EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, INFERÊNCIA BAYESIANA, REDES NEURAIS, ALGORITMOS, PROBABILIDADE

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      IDE, Jaime Shinsuke e COZMAN, Fabio Gagliardi. IPE and L2U: approximate algorithms for credal networks. 2004, Anais.. Amsterdam: IOS Press, 2004. Disponível em: https://repositorio.usp.br/directbitstream/7b7d60e4-9c75-4759-982a-99475bd43870/Cozman-2004-IPE%20and%20L2U.pdf. Acesso em: 29 maio 2024.
    • APA

      Ide, J. S., & Cozman, F. G. (2004). IPE and L2U: approximate algorithms for credal networks. In ECAI 2004 : proceedings. Amsterdam: IOS Press. Recuperado de https://repositorio.usp.br/directbitstream/7b7d60e4-9c75-4759-982a-99475bd43870/Cozman-2004-IPE%20and%20L2U.pdf
    • NLM

      Ide JS, Cozman FG. IPE and L2U: approximate algorithms for credal networks [Internet]. ECAI 2004 : proceedings. 2004 ;[citado 2024 maio 29 ] Available from: https://repositorio.usp.br/directbitstream/7b7d60e4-9c75-4759-982a-99475bd43870/Cozman-2004-IPE%20and%20L2U.pdf
    • Vancouver

      Ide JS, Cozman FG. IPE and L2U: approximate algorithms for credal networks [Internet]. ECAI 2004 : proceedings. 2004 ;[citado 2024 maio 29 ] Available from: https://repositorio.usp.br/directbitstream/7b7d60e4-9c75-4759-982a-99475bd43870/Cozman-2004-IPE%20and%20L2U.pdf
  • Source: ECAI 2004 : proceedings. Conference titles: European Conference on Artificial Intelligence. Unidade: EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS, ALGORITMOS

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      IDE, Jaime Shinsuke e COZMAN, Fabio Gagliardi e RAMOS, Fabio Tozeto. Generating random bayesian networks with contraints on induced width. 2004, Anais.. Amsterdam: IOS Press, 2004. Disponível em: https://repositorio.usp.br/directbitstream/afd2e5b4-781c-450a-9d62-fc85bdc10a00/Cozman-2004-Generating%20random%20bayesian%20networks%20with.pdf. Acesso em: 29 maio 2024.
    • APA

      Ide, J. S., Cozman, F. G., & Ramos, F. T. (2004). Generating random bayesian networks with contraints on induced width. In ECAI 2004 : proceedings. Amsterdam: IOS Press. Recuperado de https://repositorio.usp.br/directbitstream/afd2e5b4-781c-450a-9d62-fc85bdc10a00/Cozman-2004-Generating%20random%20bayesian%20networks%20with.pdf
    • NLM

      Ide JS, Cozman FG, Ramos FT. Generating random bayesian networks with contraints on induced width [Internet]. ECAI 2004 : proceedings. 2004 ;[citado 2024 maio 29 ] Available from: https://repositorio.usp.br/directbitstream/afd2e5b4-781c-450a-9d62-fc85bdc10a00/Cozman-2004-Generating%20random%20bayesian%20networks%20with.pdf
    • Vancouver

      Ide JS, Cozman FG, Ramos FT. Generating random bayesian networks with contraints on induced width [Internet]. ECAI 2004 : proceedings. 2004 ;[citado 2024 maio 29 ] Available from: https://repositorio.usp.br/directbitstream/afd2e5b4-781c-450a-9d62-fc85bdc10a00/Cozman-2004-Generating%20random%20bayesian%20networks%20with.pdf
  • Source: ECAI 2004 : proceedings. Conference titles: European Conference on Artificial Intelligence. Unidade: EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, INFERÊNCIA BAYESIANA, REDES NEURAIS, ALGORITMOS

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      COZMAN, Fabio Gagliardi. Local computation in credal networks. 2004, Anais.. Amsterdam: IOS Press, 2004. Disponível em: https://repositorio.usp.br/directbitstream/927489a4-7620-4325-98c2-ecc1d4696a29/Cozman-2004-Local%20computation%20in%20credal%20networks.pdf. Acesso em: 29 maio 2024.
    • APA

      Cozman, F. G. (2004). Local computation in credal networks. In ECAI 2004 : proceedings. Amsterdam: IOS Press. Recuperado de https://repositorio.usp.br/directbitstream/927489a4-7620-4325-98c2-ecc1d4696a29/Cozman-2004-Local%20computation%20in%20credal%20networks.pdf
    • NLM

      Cozman FG. Local computation in credal networks [Internet]. ECAI 2004 : proceedings. 2004 ;[citado 2024 maio 29 ] Available from: https://repositorio.usp.br/directbitstream/927489a4-7620-4325-98c2-ecc1d4696a29/Cozman-2004-Local%20computation%20in%20credal%20networks.pdf
    • Vancouver

      Cozman FG. Local computation in credal networks [Internet]. ECAI 2004 : proceedings. 2004 ;[citado 2024 maio 29 ] Available from: https://repositorio.usp.br/directbitstream/927489a4-7620-4325-98c2-ecc1d4696a29/Cozman-2004-Local%20computation%20in%20credal%20networks.pdf
  • Source: Frontiers in Artificial Intelligence and Applications. Conference titles: International Conference on Hybrid Intelligent Systems - HIS. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      POLICASTRO, Claudio Adriano e CARVALHO, André Carlos Ponce de Leon Ferreira de e DELBEM, Alexandre Cláudio Botazzo. Hybrid approach for case adaptation. Frontiers in Artificial Intelligence and Applications. Amsterdam: IOS Press. . Acesso em: 29 maio 2024. , 2003
    • APA

      Policastro, C. A., Carvalho, A. C. P. de L. F. de, & Delbem, A. C. B. (2003). Hybrid approach for case adaptation. Frontiers in Artificial Intelligence and Applications. Amsterdam: IOS Press.
    • NLM

      Policastro CA, Carvalho ACP de LF de, Delbem ACB. Hybrid approach for case adaptation. Frontiers in Artificial Intelligence and Applications. 2003 ; 104 331-340.[citado 2024 maio 29 ]
    • Vancouver

      Policastro CA, Carvalho ACP de LF de, Delbem ACB. Hybrid approach for case adaptation. Frontiers in Artificial Intelligence and Applications. 2003 ; 104 331-340.[citado 2024 maio 29 ]
  • Source: Soft Computing System: design, management and applications. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      BATISTA, Gustavo Enrique de Almeida Prado Alves e MONARD, Maria Carolina. A study of k-nearest neighbour as an imputation method. Soft Computing System: design, management and applications. Tradução . Amsterdan: IOS Press, 2002. . . Acesso em: 29 maio 2024.
    • APA

      Batista, G. E. de A. P. A., & Monard, M. C. (2002). A study of k-nearest neighbour as an imputation method. In Soft Computing System: design, management and applications. Amsterdan: IOS Press.
    • NLM

      Batista GE de APA, Monard MC. A study of k-nearest neighbour as an imputation method. In: Soft Computing System: design, management and applications. Amsterdan: IOS Press; 2002. [citado 2024 maio 29 ]
    • Vancouver

      Batista GE de APA, Monard MC. A study of k-nearest neighbour as an imputation method. In: Soft Computing System: design, management and applications. Amsterdan: IOS Press; 2002. [citado 2024 maio 29 ]
  • Source: Logic, Artificial Intelligence and Robotics - LAPTEC 200l. Conference titles: Congress of Logic Applied to Technology. Unidade: FM

    Assunto: INTELIGÊNCIA ARTIFICIAL

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      MASSAD, Eduardo e ORTEGA, Neli Regina S. The logic of medical diagnosis. Logic, Artificial Intelligence and Robotics - LAPTEC 200l. Tradução . Amsterdam: IOS Press, 2001. . . Acesso em: 29 maio 2024.
    • APA

      Massad, E., & Ortega, N. R. S. (2001). The logic of medical diagnosis. In Logic, Artificial Intelligence and Robotics - LAPTEC 200l. Amsterdam: IOS Press.
    • NLM

      Massad E, Ortega NRS. The logic of medical diagnosis. In: Logic, Artificial Intelligence and Robotics - LAPTEC 200l. Amsterdam: IOS Press; 2001. [citado 2024 maio 29 ]
    • Vancouver

      Massad E, Ortega NRS. The logic of medical diagnosis. In: Logic, Artificial Intelligence and Robotics - LAPTEC 200l. Amsterdam: IOS Press; 2001. [citado 2024 maio 29 ]

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