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1 - 9 (9 records)

  • Trabalho de evento

    Artificial swimmers in concentration gradients: simulation and learning (2022)

    Buscaglia, Gustavo Carlos ; Sanchez, Stevens Paz ; Ausas, Roberto Federico ; Carbajal, Juan Pablo

    Source: Proceedings. Conference titles: Ibero-Latin-American Congress on Computational Methods in Engineering - CLIAMCE. Unidade: ICMC

    Subjects: DINÂMICA DOS FLUÍDOS, APRENDIZAGEM

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    • ABNT

      BUSCAGLIA, Gustavo Carlos et al. Artificial swimmers in concentration gradients: simulation and learning. 2022, Anais.. Rio de Janeiro: ABMEC, 2022. Disponível em: https://cilamce.com.br/anais/index.php?ano=2022. Acesso em: 08 set. 2024.

    • APA

      Buscaglia, G. C., Sanchez, S. P., Ausas, R. F., & Carbajal, J. P. (2022). Artificial swimmers in concentration gradients: simulation and learning. In Proceedings. Rio de Janeiro: ABMEC. Recuperado de https://cilamce.com.br/anais/index.php?ano=2022

    • NLM

      Buscaglia GC, Sanchez SP, Ausas RF, Carbajal JP. Artificial swimmers in concentration gradients: simulation and learning [Internet]. Proceedings. 2022 ;[citado 2024 set. 08 ] Available from: https://cilamce.com.br/anais/index.php?ano=2022

    • Vancouver

      Buscaglia GC, Sanchez SP, Ausas RF, Carbajal JP. Artificial swimmers in concentration gradients: simulation and learning [Internet]. Proceedings. 2022 ;[citado 2024 set. 08 ] Available from: https://cilamce.com.br/anais/index.php?ano=2022

  • Trabalho de evento

    Cautious classification with data missing not at random using generative random forests (2021)

    Villanueva Llerena, Julissa Giuliana ; Mauá, Denis Deratani ; Antonucci, Alessandro

    Source: Proceedings. Conference titles: European Conference on Symbolic and Quantitative Approaches with Uncertainty - ECSQARU. Unidade: IME

    Subjects: APRENDIZADO COMPUTACIONAL, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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    • ABNT

      VILLANUEVA LLERENA, Julissa Giuliana e MAUÁ, Denis Deratani e ANTONUCCI, Alessandro. Cautious classification with data missing not at random using generative random forests. 2021, Anais.. Cham: Springer, 2021. Disponível em: https://doi.org/10.1007/978-3-030-86772-0_21. Acesso em: 08 set. 2024.

    • APA

      Villanueva Llerena, J. G., Mauá, D. D., & Antonucci, A. (2021). Cautious classification with data missing not at random using generative random forests. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-86772-0_21

    • NLM

      Villanueva Llerena JG, Mauá DD, Antonucci A. Cautious classification with data missing not at random using generative random forests [Internet]. Proceedings. 2021 ;[citado 2024 set. 08 ] Available from: https://doi.org/10.1007/978-3-030-86772-0_21

    • Vancouver

      Villanueva Llerena JG, Mauá DD, Antonucci A. Cautious classification with data missing not at random using generative random forests [Internet]. Proceedings. 2021 ;[citado 2024 set. 08 ] Available from: https://doi.org/10.1007/978-3-030-86772-0_21

  • Trabalho de evento

    Learning probabilistic sentential decision diagrams by sampling (2020)

    Geh, Renato Lui ; Mauá, Denis Deratani ; Antonucci, Alessandro

    Source: Proceedings. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, RACIOCÍNIO PROBABILÍSTICO

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    • ABNT

      GEH, Renato Lui e MAUÁ, Denis Deratani e ANTONUCCI, Alessandro. Learning probabilistic sentential decision diagrams by sampling. 2020, Anais.. Porto Alegre: SBC, 2020. Disponível em: https://doi.org/10.5753/kdmile.2020.11968. Acesso em: 08 set. 2024.

    • APA

      Geh, R. L., Mauá, D. D., & Antonucci, A. (2020). Learning probabilistic sentential decision diagrams by sampling. In Proceedings. Porto Alegre: SBC. doi:10.5753/kdmile.2020.11968

    • NLM

      Geh RL, Mauá DD, Antonucci A. Learning probabilistic sentential decision diagrams by sampling [Internet]. Proceedings. 2020 ;[citado 2024 set. 08 ] Available from: https://doi.org/10.5753/kdmile.2020.11968

    • Vancouver

      Geh RL, Mauá DD, Antonucci A. Learning probabilistic sentential decision diagrams by sampling [Internet]. Proceedings. 2020 ;[citado 2024 set. 08 ] Available from: https://doi.org/10.5753/kdmile.2020.11968

  • Trabalho de evento

    Solution of time-variant risk optimization problems using two-level active learning kriging approach (2019)

    Kroetz, Henrique Machado ; Moustapha, M.; Beck, André Teófilo ; Sudret, B.

    Source: Proceedings. Conference titles: Ibero-Latin American Congress on Computational Methods in Engineering - CILAMCE. Unidade: EESC

    Assunto: ESTRUTURAS

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    • ABNT

      KROETZ, Henrique Machado et al. Solution of time-variant risk optimization problems using two-level active learning kriging approach. 2019, Anais.. Belo Horizonte, MG: ABMEC, 2019. Disponível em: https://repositorio.usp.br/directbitstream/74a053cc-6e90-4a02-a7fa-c3aa0fc225cb/art1.pdf. Acesso em: 08 set. 2024.

    • APA

      Kroetz, H. M., Moustapha, M., Beck, A. T., & Sudret, B. (2019). Solution of time-variant risk optimization problems using two-level active learning kriging approach. In Proceedings. Belo Horizonte, MG: ABMEC. Recuperado de https://repositorio.usp.br/directbitstream/74a053cc-6e90-4a02-a7fa-c3aa0fc225cb/art1.pdf

    • NLM

      Kroetz HM, Moustapha M, Beck AT, Sudret B. Solution of time-variant risk optimization problems using two-level active learning kriging approach [Internet]. Proceedings. 2019 ;[citado 2024 set. 08 ] Available from: https://repositorio.usp.br/directbitstream/74a053cc-6e90-4a02-a7fa-c3aa0fc225cb/art1.pdf

    • Vancouver

      Kroetz HM, Moustapha M, Beck AT, Sudret B. Solution of time-variant risk optimization problems using two-level active learning kriging approach [Internet]. Proceedings. 2019 ;[citado 2024 set. 08 ] Available from: https://repositorio.usp.br/directbitstream/74a053cc-6e90-4a02-a7fa-c3aa0fc225cb/art1.pdf

  • Trabalho de evento-resumo

    Adsorption, assembling and electrochemical behavior of L-cysteine (2017)

    Dourado, André Henrique Baraldi; Arenz, Mathias; Torresi, Susana Inês Córdoba de

    Source: Proceedings. Conference titles: World Chemistry Congress. Unidade: IQ

    Subjects: ELETROQUÍMICA, ADSORÇÃO

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    • ABNT

      DOURADO, André Henrique Baraldi e ARENZ, Mathias e TORRESI, Susana Inês Córdoba de. Adsorption, assembling and electrochemical behavior of L-cysteine. 2017, Anais.. Durham: International Union of Pure and Applied Chemistry (IUPAC), 2017. Disponível em: http://www.neopixdmi.com.br/@mci/iupac2017/. Acesso em: 08 set. 2024.

    • APA

      Dourado, A. H. B., Arenz, M., & Torresi, S. I. C. de. (2017). Adsorption, assembling and electrochemical behavior of L-cysteine. In Proceedings. Durham: International Union of Pure and Applied Chemistry (IUPAC). Recuperado de http://www.neopixdmi.com.br/@mci/iupac2017/

    • NLM

      Dourado AHB, Arenz M, Torresi SIC de. Adsorption, assembling and electrochemical behavior of L-cysteine [Internet]. Proceedings. 2017 ;[citado 2024 set. 08 ] Available from: http://www.neopixdmi.com.br/@mci/iupac2017/

    • Vancouver

      Dourado AHB, Arenz M, Torresi SIC de. Adsorption, assembling and electrochemical behavior of L-cysteine [Internet]. Proceedings. 2017 ;[citado 2024 set. 08 ] Available from: http://www.neopixdmi.com.br/@mci/iupac2017/

  • Trabalho de evento-anais periodico

    ZnO/SnO2 heterojunctions sensors with UV-enhanced gas-sensing properties at room temperature (2017)

    Silva, Luís F.; Lucchini, Mattia A.; M'Peko, Jean Claude; Bernardini, Sandrine; Aguir, Khalifa; Ribeiro, Caue; Longo, Elson; Niederberger, Markus

    Source: Proceedings. Conference titles: Eurosensors. Unidade: IFSC

    Subjects: OZÔNIO, SENSOR, NANOCOMPOSITOS

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    • ABNT

      SILVA, Luís F. et al. ZnO/SnO2 heterojunctions sensors with UV-enhanced gas-sensing properties at room temperature. Proceedings. Basel: MDPI AG. Disponível em: https://doi.org/10.3390/proceedings1040418. Acesso em: 08 set. 2024. , 2017

    • APA

      Silva, L. F., Lucchini, M. A., M'Peko, J. C., Bernardini, S., Aguir, K., Ribeiro, C., et al. (2017). ZnO/SnO2 heterojunctions sensors with UV-enhanced gas-sensing properties at room temperature. Proceedings. Basel: MDPI AG. doi:10.3390/proceedings1040418

    • NLM

      Silva LF, Lucchini MA, M'Peko JC, Bernardini S, Aguir K, Ribeiro C, Longo E, Niederberger M. ZnO/SnO2 heterojunctions sensors with UV-enhanced gas-sensing properties at room temperature [Internet]. Proceedings. 2017 ; 1( 4): 418-1-418-4.[citado 2024 set. 08 ] Available from: https://doi.org/10.3390/proceedings1040418

    • Vancouver

      Silva LF, Lucchini MA, M'Peko JC, Bernardini S, Aguir K, Ribeiro C, Longo E, Niederberger M. ZnO/SnO2 heterojunctions sensors with UV-enhanced gas-sensing properties at room temperature [Internet]. Proceedings. 2017 ; 1( 4): 418-1-418-4.[citado 2024 set. 08 ] Available from: https://doi.org/10.3390/proceedings1040418

  • Trabalho de evento

    Early classification of time series by Hidden Markov Models with set-valued parameters (2015)

    Antonucci, Alessandro; Mauá, Denis Deratani ; Scanagatta, Mauro; Campos, Cassio Polpo de

    Source: Proceedings. Conference titles: NIPS Time Series Workshop 2015. Unidade: IME

    Subjects: ANÁLISE DE SÉRIES TEMPORAIS, PROCESSOS DE MARKOV

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    • ABNT

      ANTONUCCI, Alessandro et al. Early classification of time series by Hidden Markov Models with set-valued parameters. 2015, Anais.. Montreal: NIPS Foundation, 2015. Disponível em: https://drive.google.com/file/d/0Bx7depbNYaFIdjhPNEtsN1pDa2RBWVhPUmxYMURNdmp5a05n/view. Acesso em: 08 set. 2024.

    • APA

      Antonucci, A., Mauá, D. D., Scanagatta, M., & Campos, C. P. de. (2015). Early classification of time series by Hidden Markov Models with set-valued parameters. In Proceedings. Montreal: NIPS Foundation. Recuperado de https://drive.google.com/file/d/0Bx7depbNYaFIdjhPNEtsN1pDa2RBWVhPUmxYMURNdmp5a05n/view

    • NLM

      Antonucci A, Mauá DD, Scanagatta M, Campos CP de. Early classification of time series by Hidden Markov Models with set-valued parameters [Internet]. Proceedings. 2015 ;[citado 2024 set. 08 ] Available from: https://drive.google.com/file/d/0Bx7depbNYaFIdjhPNEtsN1pDa2RBWVhPUmxYMURNdmp5a05n/view

    • Vancouver

      Antonucci A, Mauá DD, Scanagatta M, Campos CP de. Early classification of time series by Hidden Markov Models with set-valued parameters [Internet]. Proceedings. 2015 ;[citado 2024 set. 08 ] Available from: https://drive.google.com/file/d/0Bx7depbNYaFIdjhPNEtsN1pDa2RBWVhPUmxYMURNdmp5a05n/view

  • Trabalho de evento

    A new approach to χ2 cryptanalysis of block ciphers (2009)

    Nakahara Jr., Jorge ; Sekar, Gautham; Freitas, Daniel Santana de; Chiann, Chang ; Souza, Ramon Hugo de ; Preneel, Bart

    Source: Proceedings. Conference titles: International Conference on Information Security - ISC. Unidade: IME

    Assunto: CRIPTOLOGIA

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    • ABNT

      NAKAHARA JR., Jorge et al. A new approach to χ2 cryptanalysis of block ciphers. 2009, Anais.. Berlin: Springer, 2009. Disponível em: https://doi.org/10.1007/978-3-642-04474-8_1. Acesso em: 08 set. 2024.

    • APA

      Nakahara Jr., J., Sekar, G., Freitas, D. S. de, Chiann, C., Souza, R. H. de, & Preneel, B. (2009). A new approach to χ2 cryptanalysis of block ciphers. In Proceedings. Berlin: Springer. doi:10.1007/978-3-642-04474-8_1

    • NLM

      Nakahara Jr. J, Sekar G, Freitas DS de, Chiann C, Souza RH de, Preneel B. A new approach to χ2 cryptanalysis of block ciphers [Internet]. Proceedings. 2009 ;[citado 2024 set. 08 ] Available from: https://doi.org/10.1007/978-3-642-04474-8_1

    • Vancouver

      Nakahara Jr. J, Sekar G, Freitas DS de, Chiann C, Souza RH de, Preneel B. A new approach to χ2 cryptanalysis of block ciphers [Internet]. Proceedings. 2009 ;[citado 2024 set. 08 ] Available from: https://doi.org/10.1007/978-3-642-04474-8_1

  • Trabalho de evento

    Sharing resource-sensitive knowledge using combinator logics (2000)

    Finger, Marcelo ; Vasconcelos, Wamberto

    Source: Proceedings. Conference titles: Ibero-American Conference on Artificial Intelligence - IBERAMIA. Unidade: IME

    Subjects: SISTEMAS BASEADOS EM CONHECIMENTO, ONTOLOGIAS

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    • ABNT

      FINGER, Marcelo e VASCONCELOS, Wamberto. Sharing resource-sensitive knowledge using combinator logics. 2000, Anais.. Berlin: Springer, 2000. Disponível em: https://doi.org/10.1007/3-540-44399-1_21. Acesso em: 08 set. 2024.

    • APA

      Finger, M., & Vasconcelos, W. (2000). Sharing resource-sensitive knowledge using combinator logics. In Proceedings. Berlin: Springer. doi:10.1007/3-540-44399-1_21

    • NLM

      Finger M, Vasconcelos W. Sharing resource-sensitive knowledge using combinator logics [Internet]. Proceedings. 2000 ;[citado 2024 set. 08 ] Available from: https://doi.org/10.1007/3-540-44399-1_21

    • Vancouver

      Finger M, Vasconcelos W. Sharing resource-sensitive knowledge using combinator logics [Internet]. Proceedings. 2000 ;[citado 2024 set. 08 ] Available from: https://doi.org/10.1007/3-540-44399-1_21
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