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  • Source: Pattern Recognition. Unidade: IME

    Subjects: RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS, IMAGEM POR RESSONÂNCIA MAGNÉTICA

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      OLIVEIRA, Hugo Neves de et al. Meta-learners for few-shot weakly-supervised medical image segmentation. Pattern Recognition, v. 153, n. artigo 110471, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2024.110471. Acesso em: 28 jul. 2024.
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      Oliveira, H. N. de, Gama, P. H. T., Bloch, I., & César Júnior, R. M. (2024). Meta-learners for few-shot weakly-supervised medical image segmentation. Pattern Recognition, 153( artigo 110471), 1-13. doi:10.1016/j.patcog.2024.110471
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      Oliveira HN de, Gama PHT, Bloch I, César Júnior RM. Meta-learners for few-shot weakly-supervised medical image segmentation [Internet]. Pattern Recognition. 2024 ; 153( artigo 110471): 1-13.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1016/j.patcog.2024.110471
    • Vancouver

      Oliveira HN de, Gama PHT, Bloch I, César Júnior RM. Meta-learners for few-shot weakly-supervised medical image segmentation [Internet]. Pattern Recognition. 2024 ; 153( artigo 110471): 1-13.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1016/j.patcog.2024.110471
  • Source: Revista Eletrônica de Iniciação Científica em Computação. Conference titles: Concurso de Trabalhos de Iniciação Científica - CTIC. Unidade: IME

    Subjects: PROGRAMAÇÃO PARALELA, HEURÍSTICA, APRENDIZADO COMPUTACIONAL

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      ROSA, Lucas de Sousa et al. On limits of machine learning techniques in the learning ofscheduling policies. Revista Eletrônica de Iniciação Científica em Computação. Porto Alegre: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://sol.sbc.org.br/journals/index.php/reic/article/view/3419. Acesso em: 28 jul. 2024. , 2023
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      Rosa, L. de S., Carastan-Santos, D., Goldman, A., & Trystram, D. (2023). On limits of machine learning techniques in the learning ofscheduling policies. Revista Eletrônica de Iniciação Científica em Computação. Porto Alegre: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de https://sol.sbc.org.br/journals/index.php/reic/article/view/3419
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      Rosa L de S, Carastan-Santos D, Goldman A, Trystram D. On limits of machine learning techniques in the learning ofscheduling policies [Internet]. Revista Eletrônica de Iniciação Científica em Computação. 2023 ; 21( 2): 61-70.[citado 2024 jul. 28 ] Available from: https://sol.sbc.org.br/journals/index.php/reic/article/view/3419
    • Vancouver

      Rosa L de S, Carastan-Santos D, Goldman A, Trystram D. On limits of machine learning techniques in the learning ofscheduling policies [Internet]. Revista Eletrônica de Iniciação Científica em Computação. 2023 ; 21( 2): 61-70.[citado 2024 jul. 28 ] Available from: https://sol.sbc.org.br/journals/index.php/reic/article/view/3419
  • Source: Journal of Parallel and Distributed Computing. Unidades: EACH, IME

    Assunto: APRENDIZADO COMPUTACIONAL

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      AMARIS, Marcos et al. Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques. Journal of Parallel and Distributed Computing, v. 171, n. ja 2023, p. 66-78, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jpdc.2022.09.002. Acesso em: 28 jul. 2024.
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      Amaris, M., Camargo, R., Cordeiro, D. de A., Goldman, A., & Trystram, D. (2023). Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques. Journal of Parallel and Distributed Computing, 171( ja 2023), 66-78. doi:10.1016/j.jpdc.2022.09.002
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      Amaris M, Camargo R, Cordeiro D de A, Goldman A, Trystram D. Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques [Internet]. Journal of Parallel and Distributed Computing. 2023 ; 171( ja 2023): 66-78.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1016/j.jpdc.2022.09.002
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      Amaris M, Camargo R, Cordeiro D de A, Goldman A, Trystram D. Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques [Internet]. Journal of Parallel and Distributed Computing. 2023 ; 171( ja 2023): 66-78.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1016/j.jpdc.2022.09.002
  • Source: Proceedings. Conference titles: Workshop on Job Scheduling Strategies for Parallel Processing - JSSPP. Unidade: IME

    Subjects: HEURÍSTICA, SCHEDULING, APRENDIZADO COMPUTACIONAL, REGRESSÃO LINEAR

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      ROSA, Lucas de Sousa e CARASTAN-SANTOS, Danilo e GOLDMAN, Alfredo. An experimental analysis of regression-obtained HPC scheduling heuristics. 2023, Anais.. Cham: Springer, 2023. Disponível em: https://doi.org/10.1007/978-3-031-43943-8_6. Acesso em: 28 jul. 2024.
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      Rosa, L. de S., Carastan-Santos, D., & Goldman, A. (2023). An experimental analysis of regression-obtained HPC scheduling heuristics. In Proceedings. Cham: Springer. doi:10.1007/978-3-031-43943-8_6
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      Rosa L de S, Carastan-Santos D, Goldman A. An experimental analysis of regression-obtained HPC scheduling heuristics [Internet]. Proceedings. 2023 ;[citado 2024 jul. 28 ] Available from: https://doi.org/10.1007/978-3-031-43943-8_6
    • Vancouver

      Rosa L de S, Carastan-Santos D, Goldman A. An experimental analysis of regression-obtained HPC scheduling heuristics [Internet]. Proceedings. 2023 ;[citado 2024 jul. 28 ] Available from: https://doi.org/10.1007/978-3-031-43943-8_6
  • Source: Anais. Conference titles: Escola Regional de Alto Desempenho de São Paulo - ERAD-SP. Unidade: IME

    Subjects: PROGRAMAÇÃO PARALELA, APRENDIZADO COMPUTACIONAL, HEURÍSTICA

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      ROSA, Lucas de Sousa e CARASTAN-SANTOS, Danilo e GOLDMAN, Alfredo. Exploring simplicity and efficiency: regression-based scheduling heuristics in HPC. 2023, Anais.. Porto Alegre: SBC, 2023. Disponível em: https://doi.org/10.5753/eradsp.2023.232635. Acesso em: 28 jul. 2024.
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      Rosa, L. de S., Carastan-Santos, D., & Goldman, A. (2023). Exploring simplicity and efficiency: regression-based scheduling heuristics in HPC. In Anais. Porto Alegre: SBC. doi:10.5753/eradsp.2023.232635
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      Rosa L de S, Carastan-Santos D, Goldman A. Exploring simplicity and efficiency: regression-based scheduling heuristics in HPC [Internet]. Anais. 2023 ;[citado 2024 jul. 28 ] Available from: https://doi.org/10.5753/eradsp.2023.232635
    • Vancouver

      Rosa L de S, Carastan-Santos D, Goldman A. Exploring simplicity and efficiency: regression-based scheduling heuristics in HPC [Internet]. Anais. 2023 ;[citado 2024 jul. 28 ] Available from: https://doi.org/10.5753/eradsp.2023.232635
  • Source: Combinatorial Theory. Unidade: IME

    Subjects: COMBINATÓRIA, GEOMETRIA CONVEXA, GEOMETRIA DESCRITIVA

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      FERNANDES, Cristina Gomes et al. Period collapse in Ehrhart quasi-polynomials of {1, 3}-graphs. Combinatorial Theory, v. 2, n. 3, p. 1-43, 2022Tradução . . Disponível em: https://doi.org/10.5070/C62359168. Acesso em: 28 jul. 2024.
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      Fernandes, C. G., Pina Júnior, J. C. de, Alfonsín, J. L. R., & Robins, S. (2022). Period collapse in Ehrhart quasi-polynomials of {1, 3}-graphs. Combinatorial Theory, 2( 3), 1-43. doi:10.5070/C62359168
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      Fernandes CG, Pina Júnior JC de, Alfonsín JLR, Robins S. Period collapse in Ehrhart quasi-polynomials of {1, 3}-graphs [Internet]. Combinatorial Theory. 2022 ; 2( 3): 1-43.[citado 2024 jul. 28 ] Available from: https://doi.org/10.5070/C62359168
    • Vancouver

      Fernandes CG, Pina Júnior JC de, Alfonsín JLR, Robins S. Period collapse in Ehrhart quasi-polynomials of {1, 3}-graphs [Internet]. Combinatorial Theory. 2022 ; 2( 3): 1-43.[citado 2024 jul. 28 ] Available from: https://doi.org/10.5070/C62359168
  • Source: International Journal of Parallel Programming. Unidade: IME

    Subjects: APRENDIZADO COMPUTACIONAL, SCHEDULING

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      GENG, Tongsheng et al. A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures. International Journal of Parallel Programming, v. 50, n. 1, p. 115-151, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10766-021-00721-2. Acesso em: 28 jul. 2024.
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      Geng, T., Amarís, M., Zuckerman, S., Goldman, A., Gao, G. R., & Gaudiot, J. -L. (2022). A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures. International Journal of Parallel Programming, 50( 1), 115-151. doi:10.1007/s10766-021-00721-2
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      Geng T, Amarís M, Zuckerman S, Goldman A, Gao GR, Gaudiot J-L. A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures [Internet]. International Journal of Parallel Programming. 2022 ; 50( 1): 115-151.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1007/s10766-021-00721-2
    • Vancouver

      Geng T, Amarís M, Zuckerman S, Goldman A, Gao GR, Gaudiot J-L. A profile-based AI-assisted dynamic scheduling approach for heterogeneous architectures [Internet]. International Journal of Parallel Programming. 2022 ; 50( 1): 115-151.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1007/s10766-021-00721-2
  • Source: Frontiers in Genetics. Unidade: IME

    Subjects: BIOINFORMÁTICA, METABOLÔMICA

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      FERRARINI, Mariana Galvão et al. Totoro: identifying active reactions during the transient state for metabolic perturbations. Frontiers in Genetics, v. 13, 2022Tradução . . Disponível em: https://doi.org/10.3389/fgene.2022.815476. Acesso em: 28 jul. 2024.
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      Ferrarini, M. G., Ziska, I., Andrade, R., Julien-Laferrière, A., Duchemin, L., César Júnior, R. M., et al. (2022). Totoro: identifying active reactions during the transient state for metabolic perturbations. Frontiers in Genetics, 13. doi:10.3389/fgene.2022.815476
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      Ferrarini MG, Ziska I, Andrade R, Julien-Laferrière A, Duchemin L, César Júnior RM, Mary A, Vinga S, Sagot M-F. Totoro: identifying active reactions during the transient state for metabolic perturbations [Internet]. Frontiers in Genetics. 2022 ; 13[citado 2024 jul. 28 ] Available from: https://doi.org/10.3389/fgene.2022.815476
    • Vancouver

      Ferrarini MG, Ziska I, Andrade R, Julien-Laferrière A, Duchemin L, César Júnior RM, Mary A, Vinga S, Sagot M-F. Totoro: identifying active reactions during the transient state for metabolic perturbations [Internet]. Frontiers in Genetics. 2022 ; 13[citado 2024 jul. 28 ] Available from: https://doi.org/10.3389/fgene.2022.815476
  • Source: Journal of Complex Networks. Unidade: IME

    Assunto: TEORIA DOS GRAFOS

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      SANTOS, Suzana de Siqueira e FUJITA, André e MATIAS, Catherine. Spectral density of random graphs: convergence properties and application in model fitting. Journal of Complex Networks, v. 9, n. 6, p. 1-27, 2021Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnab041. Acesso em: 28 jul. 2024.
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      Santos, S. de S., Fujita, A., & Matias, C. (2021). Spectral density of random graphs: convergence properties and application in model fitting. Journal of Complex Networks, 9( 6), 1-27. doi:10.1093/comnet/cnab041
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      Santos S de S, Fujita A, Matias C. Spectral density of random graphs: convergence properties and application in model fitting [Internet]. Journal of Complex Networks. 2021 ; 9( 6): 1-27.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1093/comnet/cnab041
    • Vancouver

      Santos S de S, Fujita A, Matias C. Spectral density of random graphs: convergence properties and application in model fitting [Internet]. Journal of Complex Networks. 2021 ; 9( 6): 1-27.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1093/comnet/cnab041
  • Source: Proceedings. Conference titles: Symposium on Computers and Communications - ISCC. Unidade: IME

    Subjects: PROCESSAMENTO ELETRÔNICO DE DADOS, TEMPERATURA ATMOSFÉRICA, EFICIÊNCIA ENERGÉTICA

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      CARASTAN-SANTOS, Danilo et al. Short-term ambient temperature forecasting for smart heaters. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/ISCC53001.2021.9631550. Acesso em: 28 jul. 2024.
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      Carastan-Santos, D., Da Silva, A. A., Goldman, A., Mitra, A., Ngoko, Y., Mommessin, C., & Trystram, D. (2021). Short-term ambient temperature forecasting for smart heaters. In Proceedings. Piscataway: IEEE. doi:10.1109/ISCC53001.2021.9631550
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      Carastan-Santos D, Da Silva AA, Goldman A, Mitra A, Ngoko Y, Mommessin C, Trystram D. Short-term ambient temperature forecasting for smart heaters [Internet]. Proceedings. 2021 ;[citado 2024 jul. 28 ] Available from: https://doi.org/10.1109/ISCC53001.2021.9631550
    • Vancouver

      Carastan-Santos D, Da Silva AA, Goldman A, Mitra A, Ngoko Y, Mommessin C, Trystram D. Short-term ambient temperature forecasting for smart heaters [Internet]. Proceedings. 2021 ;[citado 2024 jul. 28 ] Available from: https://doi.org/10.1109/ISCC53001.2021.9631550
  • Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidades: IME, FM

    Subjects: PROCESSAMENTO DE IMAGENS, APRENDIZAGEM PROFUNDA

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      OLIVEIRA, Hugo et al. Automatic segmentation of posterior fossa structures in pediatric brain MRIs. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00025. Acesso em: 28 jul. 2024.
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      Oliveira, H., Dias, L. de O. P., Pimenta, J. L. M., Ferraciolli, S. F., Takahashi, M. S., Bloch, I., & César Júnior, R. M. (2021). Automatic segmentation of posterior fossa structures in pediatric brain MRIs. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI54419.2021.00025
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      Oliveira H, Dias L de OP, Pimenta JLM, Ferraciolli SF, Takahashi MS, Bloch I, César Júnior RM. Automatic segmentation of posterior fossa structures in pediatric brain MRIs [Internet]. Proceedings. 2021 ;[citado 2024 jul. 28 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00025
    • Vancouver

      Oliveira H, Dias L de OP, Pimenta JLM, Ferraciolli SF, Takahashi MS, Bloch I, César Júnior RM. Automatic segmentation of posterior fossa structures in pediatric brain MRIs [Internet]. Proceedings. 2021 ;[citado 2024 jul. 28 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00025
  • Source: Discrete & Computational Geometry. Unidade: IME

    Subjects: ENUMERAÇÃO E IDENTIDADE COMBINATÓRIAS, TEORIA DOS GRAFOS

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      FERNANDES, Cristina Gomes et al. Cubic graphs, their ehrhart quasi-polynomials, and a scissors congruence phenomenon. Discrete & Computational Geometry, v. 65, n. 1, p. 227-243, 2021Tradução . . Disponível em: https://doi.org/10.1007/s00454-020-00192-1. Acesso em: 28 jul. 2024.
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      Fernandes, C. G., Pina Júnior, J. C. de, Ramírez Alfonsín, J. L., & Robins, S. (2021). Cubic graphs, their ehrhart quasi-polynomials, and a scissors congruence phenomenon. Discrete & Computational Geometry, 65( 1), 227-243. doi:10.1007/s00454-020-00192-1
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      Fernandes CG, Pina Júnior JC de, Ramírez Alfonsín JL, Robins S. Cubic graphs, their ehrhart quasi-polynomials, and a scissors congruence phenomenon [Internet]. Discrete & Computational Geometry. 2021 ; 65( 1): 227-243.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1007/s00454-020-00192-1
    • Vancouver

      Fernandes CG, Pina Júnior JC de, Ramírez Alfonsín JL, Robins S. Cubic graphs, their ehrhart quasi-polynomials, and a scissors congruence phenomenon [Internet]. Discrete & Computational Geometry. 2021 ; 65( 1): 227-243.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1007/s00454-020-00192-1
  • Source: Proceedings. Conference titles: European Conference on Machine Learning and Knowledge Discovery in Databases - ECML PKDD. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, TEORIA DOS GRAFOS

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      RIVA, Mateus et al. Template-based graph clustering. 2020, Anais.. Ghent: Ghent University, 2020. Disponível em: https://basepub.dauphine.fr/handle/123456789/21189. Acesso em: 28 jul. 2024.
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      Riva, M., Yger, F., César Júnior, R. M., & Bloch, I. (2020). Template-based graph clustering. In Proceedings. Ghent: Ghent University. Recuperado de https://basepub.dauphine.fr/handle/123456789/21189
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      Riva M, Yger F, César Júnior RM, Bloch I. Template-based graph clustering [Internet]. Proceedings. 2020 ;[citado 2024 jul. 28 ] Available from: https://basepub.dauphine.fr/handle/123456789/21189
    • Vancouver

      Riva M, Yger F, César Júnior RM, Bloch I. Template-based graph clustering [Internet]. Proceedings. 2020 ;[citado 2024 jul. 28 ] Available from: https://basepub.dauphine.fr/handle/123456789/21189
  • Source: Proceedings. Conference titles: Workshop on Job Scheduling Strategies for Parallel Processing - JSSPP. Unidade: IME

    Subjects: MÉTODOS ITERATIVOS, SCHEDULING

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      GENG, Tongsheng et al. PDAWL: profile-based iterative dynamic adaptive workload balance on heterogeneous architectures. 2020, Anais.. Cham: Springer, 2020. Disponível em: https://doi.org/10.1007/978-3-030-63171-0_8. Acesso em: 28 jul. 2024.
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      Geng, T., Amarís, M., Zuckerman, S., Goldman, A., Gao, G. R., & Gaudiot, J. -L. (2020). PDAWL: profile-based iterative dynamic adaptive workload balance on heterogeneous architectures. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-63171-0_8
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      Geng T, Amarís M, Zuckerman S, Goldman A, Gao GR, Gaudiot J-L. PDAWL: profile-based iterative dynamic adaptive workload balance on heterogeneous architectures [Internet]. Proceedings. 2020 ;[citado 2024 jul. 28 ] Available from: https://doi.org/10.1007/978-3-030-63171-0_8
    • Vancouver

      Geng T, Amarís M, Zuckerman S, Goldman A, Gao GR, Gaudiot J-L. PDAWL: profile-based iterative dynamic adaptive workload balance on heterogeneous architectures [Internet]. Proceedings. 2020 ;[citado 2024 jul. 28 ] Available from: https://doi.org/10.1007/978-3-030-63171-0_8
  • Source: Pattern Recognition Letters. Unidade: IME

    Subjects: INTERPOLAÇÃO, APROXIMAÇÃO POR POLINÔMIOS

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      ALVES, Wonder Alexandre Luz et al. Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies. Pattern Recognition Letters, v. 133, p. 264-271, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2020.03.013. Acesso em: 28 jul. 2024.
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      Alves, W. A. L., Gobber, C. F., Silva, D. J. da, Morimitsu, A., Hashimoto, R. F., & Marcotegui, B. (2020). Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies. Pattern Recognition Letters, 133, 264-271. doi:10.1016/j.patrec.2020.03.013
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      Alves WAL, Gobber CF, Silva DJ da, Morimitsu A, Hashimoto RF, Marcotegui B. Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies [Internet]. Pattern Recognition Letters. 2020 ; 133 264-271.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1016/j.patrec.2020.03.013
    • Vancouver

      Alves WAL, Gobber CF, Silva DJ da, Morimitsu A, Hashimoto RF, Marcotegui B. Image segmentation based on ultimate levelings: from attribute filters to machine learning strategies [Internet]. Pattern Recognition Letters. 2020 ; 133 264-271.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1016/j.patrec.2020.03.013
  • Source: Proceedings. Conference titles: Brazilian Symposium on Software Engineering - SBES. Unidade: IME

    Assunto: ENGENHARIA DE SOFTWARE

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      VENDRAMINI, Vinícius Jorge e GOLDMAN, Alfredo e MOUNIÉ, Grégory. Improving mobile app development using transpilers with maintainable outputs. 2020, Anais.. New York: ACM, 2020. Disponível em: https://doi.org/10.1145/3422392.3422426. Acesso em: 28 jul. 2024.
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      Vendramini, V. J., Goldman, A., & Mounié, G. (2020). Improving mobile app development using transpilers with maintainable outputs. In Proceedings. New York: ACM. doi:10.1145/3422392.3422426
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      Vendramini VJ, Goldman A, Mounié G. Improving mobile app development using transpilers with maintainable outputs [Internet]. Proceedings. 2020 ;[citado 2024 jul. 28 ] Available from: https://doi.org/10.1145/3422392.3422426
    • Vancouver

      Vendramini VJ, Goldman A, Mounié G. Improving mobile app development using transpilers with maintainable outputs [Internet]. Proceedings. 2020 ;[citado 2024 jul. 28 ] Available from: https://doi.org/10.1145/3422392.3422426
  • Source: International Journal on Document Analysis and Recognition (IJDAR). Unidade: IME

    Subjects: RECONHECIMENTO DE PADRÕES, RECONHECIMENTO DE ESCRITA

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      JULCA-AGUILAR, Frank Dennis et al. A general framework for the recognition of online handwritten graphics. International Journal on Document Analysis and Recognition (IJDAR), v. 23, n. 2, p. 143-160, 2020Tradução . . Disponível em: https://doi.org/10.1007/s10032-019-00349-6. Acesso em: 28 jul. 2024.
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      Julca-Aguilar, F. D., Mouchère, H., Viard-Gaudin, C., & Hirata, N. S. T. (2020). A general framework for the recognition of online handwritten graphics. International Journal on Document Analysis and Recognition (IJDAR), 23( 2), 143-160. doi:10.1007/s10032-019-00349-6
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      Julca-Aguilar FD, Mouchère H, Viard-Gaudin C, Hirata NST. A general framework for the recognition of online handwritten graphics [Internet]. International Journal on Document Analysis and Recognition (IJDAR). 2020 ; 23( 2): 143-160.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1007/s10032-019-00349-6
    • Vancouver

      Julca-Aguilar FD, Mouchère H, Viard-Gaudin C, Hirata NST. A general framework for the recognition of online handwritten graphics [Internet]. International Journal on Document Analysis and Recognition (IJDAR). 2020 ; 23( 2): 143-160.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1007/s10032-019-00349-6
  • Source: Pattern Recognition Letters. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, ALGORITMOS PARA IMAGENS

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      MORIMITSU, Alexandre et al. Efficient component-hypertree construction based on hierarchy of partitions. Pattern Recognition Letters, v. 135, p. 30-37, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2020.02.032. Acesso em: 28 jul. 2024.
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      Morimitsu, A., Passat, N., Alves, W. A. L., & Hashimoto, R. F. (2020). Efficient component-hypertree construction based on hierarchy of partitions. Pattern Recognition Letters, 135, 30-37. doi:10.1016/j.patrec.2020.02.032
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      Morimitsu A, Passat N, Alves WAL, Hashimoto RF. Efficient component-hypertree construction based on hierarchy of partitions [Internet]. Pattern Recognition Letters. 2020 ; 135 30-37.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1016/j.patrec.2020.02.032
    • Vancouver

      Morimitsu A, Passat N, Alves WAL, Hashimoto RF. Efficient component-hypertree construction based on hierarchy of partitions [Internet]. Pattern Recognition Letters. 2020 ; 135 30-37.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1016/j.patrec.2020.02.032
  • Source: Computers & Operations Research. Unidades: IME, EP

    Subjects: ALGORITMOS DE SCHEDULING, HEURÍSTICA

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      LUNARDI, Willian Tessaro et al. Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem. Computers & Operations Research, v. 123, p. 1-20, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.cor.2020.105020. Acesso em: 28 jul. 2024.
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      Lunardi, W. T., Birgin, E. J. G., Laborie, P., Ronconi, D. P., & Voos, H. (2020). Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem. Computers & Operations Research, 123, 1-20. doi:10.1016/j.cor.2020.105020
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      Lunardi WT, Birgin EJG, Laborie P, Ronconi DP, Voos H. Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem [Internet]. Computers & Operations Research. 2020 ; 123 1-20.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1016/j.cor.2020.105020
    • Vancouver

      Lunardi WT, Birgin EJG, Laborie P, Ronconi DP, Voos H. Mixed Integer linear programming and constraint programming models for the online printing shop scheduling problem [Internet]. Computers & Operations Research. 2020 ; 123 1-20.[citado 2024 jul. 28 ] Available from: https://doi.org/10.1016/j.cor.2020.105020
  • Source: Graphs and Combinatorics. Unidade: IME

    Subjects: OTIMIZAÇÃO COMBINATÓRIA, TEORIA DOS GRAFOS

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      FERNANDES, Cristina Gomes et al. Counting Hamiltonian cycles in the matroid basis graph. Graphs and Combinatorics, v. 35, n. 2, 2019Tradução . . Disponível em: https://doi.org/10.1007/s00373-019-02011-8. Acesso em: 28 jul. 2024.
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      Fernandes, C. G., Hernández Vélez, C., Pina Júnior, J. C. de, & Ramírez Alfonsín, J. L. (2019). Counting Hamiltonian cycles in the matroid basis graph. Graphs and Combinatorics, 35( 2). doi:10.1007/s00373-019-02011-8
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      Fernandes CG, Hernández Vélez C, Pina Júnior JC de, Ramírez Alfonsín JL. Counting Hamiltonian cycles in the matroid basis graph [Internet]. Graphs and Combinatorics. 2019 ; 35( 2):[citado 2024 jul. 28 ] Available from: https://doi.org/10.1007/s00373-019-02011-8
    • Vancouver

      Fernandes CG, Hernández Vélez C, Pina Júnior JC de, Ramírez Alfonsín JL. Counting Hamiltonian cycles in the matroid basis graph [Internet]. Graphs and Combinatorics. 2019 ; 35( 2):[citado 2024 jul. 28 ] Available from: https://doi.org/10.1007/s00373-019-02011-8

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