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  • Source: Scientific Reports. Unidade: IME

    Subjects: PROCESSOS DE MARKOV, JOGOS DE COMPUTADOR

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      HERNÁNDEZ, Noslen et al. Probabilistic prediction and context tree identification in the goalkeeper game. Scientific Reports, v. 14, n. artigo 15467, p. 1-18, 2024Tradução . . Disponível em: https://doi.org/10.1038/s41598-024-66009-w. Acesso em: 14 nov. 2024.
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      Hernández, N., Galves, A., García, J. E., Gubitoso, M. D., & Vargas, C. D. (2024). Probabilistic prediction and context tree identification in the goalkeeper game. Scientific Reports, 14( artigo 15467), 1-18. doi:10.1038/s41598-024-66009-w
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      Hernández N, Galves A, García JE, Gubitoso MD, Vargas CD. Probabilistic prediction and context tree identification in the goalkeeper game [Internet]. Scientific Reports. 2024 ; 14( artigo 15467): 1-18.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1038/s41598-024-66009-w
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      Hernández N, Galves A, García JE, Gubitoso MD, Vargas CD. Probabilistic prediction and context tree identification in the goalkeeper game [Internet]. Scientific Reports. 2024 ; 14( artigo 15467): 1-18.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1038/s41598-024-66009-w
  • Source: GigaScience. Unidades: IME, IB

    Subjects: COMPUTAÇÃO APLICADA, GENÔMICA

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      NACHTIGALL, Pedro Gabriel et al. ToxCodAn-Genome: an automated pipeline for toxin-gene annotation in genome assembly of venomous lineages. GigaScience, v. 13, p. 1-17, 2024Tradução . . Disponível em: https://doi.org/10.1093/gigascience/giad116. Acesso em: 14 nov. 2024.
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      Nachtigall, P. G., Durham, A. M., Rokyta, D. R., & Junqueira-de-azevedo, I. L. M. (2024). ToxCodAn-Genome: an automated pipeline for toxin-gene annotation in genome assembly of venomous lineages. GigaScience, 13, 1-17. doi:10.1093/gigascience/giad116
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      Nachtigall PG, Durham AM, Rokyta DR, Junqueira-de-azevedo ILM. ToxCodAn-Genome: an automated pipeline for toxin-gene annotation in genome assembly of venomous lineages [Internet]. GigaScience. 2024 ; 13 1-17.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1093/gigascience/giad116
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      Nachtigall PG, Durham AM, Rokyta DR, Junqueira-de-azevedo ILM. ToxCodAn-Genome: an automated pipeline for toxin-gene annotation in genome assembly of venomous lineages [Internet]. GigaScience. 2024 ; 13 1-17.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1093/gigascience/giad116
  • Source: Nature Machine Intelligence. Unidade: IME

    Assunto: APRENDIZADO COMPUTACIONAL

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      MARCONDES, Diego e SIMONIS, Adilson e BARRERA, Junior. Back to basics to open the black box. Nature Machine Intelligence, v. 6, p. 498-501, 2024Tradução . . Disponível em: https://doi.org/10.1038/s42256-024-00842-6. Acesso em: 14 nov. 2024.
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      Marcondes, D., Simonis, A., & Barrera, J. (2024). Back to basics to open the black box. Nature Machine Intelligence, 6, 498-501. doi:10.1038/s42256-024-00842-6
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      Marcondes D, Simonis A, Barrera J. Back to basics to open the black box [Internet]. Nature Machine Intelligence. 2024 ; 6 498-501.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1038/s42256-024-00842-6
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      Marcondes D, Simonis A, Barrera J. Back to basics to open the black box [Internet]. Nature Machine Intelligence. 2024 ; 6 498-501.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1038/s42256-024-00842-6
  • Source: Monthly Notices of the Royal Astronomical Society. Unidades: IME, IAG

    Subjects: QUASARES, GALÁXIAS, COMPUTAÇÃO APLICADA, FOTOMETRIA, PROBABILIDADE

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      NAKAZONO, Lilianne Mariko Izuti et al. The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts. Monthly Notices of the Royal Astronomical Society, v. 531, n. 1, p. 327-339, 2024Tradução . . Disponível em: https://doi.org/10.1093/mnras/stae971. Acesso em: 14 nov. 2024.
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      Nakazono, L. M. I., Valença, R. R., Soares, G., Izbicki, R., Ivezić, Ž., Lima, E. V. R. D., et al. (2024). The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts. Monthly Notices of the Royal Astronomical Society, 531( 1), 327-339. doi:10.1093/mnras/stae971
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      Nakazono LMI, Valença RR, Soares G, Izbicki R, Ivezić Ž, Lima EVRD, Hirata NST, Sodré Júnior L, Overzier R, Fernandes F de A, Schwarz GBO , Schoenell W, Kanaan A, Ribeiro T, Oliveira CM de. The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts [Internet]. Monthly Notices of the Royal Astronomical Society. 2024 ; 531( 1): 327-339.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1093/mnras/stae971
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      Nakazono LMI, Valença RR, Soares G, Izbicki R, Ivezić Ž, Lima EVRD, Hirata NST, Sodré Júnior L, Overzier R, Fernandes F de A, Schwarz GBO , Schoenell W, Kanaan A, Ribeiro T, Oliveira CM de. The Quasar Catalogue for S-PLUS DR4 (QuCatS) and the estimation of photometric redshifts [Internet]. Monthly Notices of the Royal Astronomical Society. 2024 ; 531( 1): 327-339.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1093/mnras/stae971
  • Source: Journal of Software: Evolution and Process. Unidades: EACH, IME

    Assunto: FALHA

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      SOUZA, Higor Amario de et al. Understanding the use of spectrum-based fault localization. Journal of Software: Evolution and Process, v. 36, n. 6, 2024Tradução . . Disponível em: http://dx.doi.org/10.1002/smr.2622. Acesso em: 14 nov. 2024.
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      Souza, H. A. de, Lauretto, M. de S., Kon, F., & Chaim, M. L. (2024). Understanding the use of spectrum-based fault localization. Journal of Software: Evolution and Process, 36( 6). doi:10.1002/smr.2622
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      Souza HA de, Lauretto M de S, Kon F, Chaim ML. Understanding the use of spectrum-based fault localization [Internet]. Journal of Software: Evolution and Process. 2024 ; 36( 6):[citado 2024 nov. 14 ] Available from: http://dx.doi.org/10.1002/smr.2622
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      Souza HA de, Lauretto M de S, Kon F, Chaim ML. Understanding the use of spectrum-based fault localization [Internet]. Journal of Software: Evolution and Process. 2024 ; 36( 6):[citado 2024 nov. 14 ] Available from: http://dx.doi.org/10.1002/smr.2622
  • 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: 14 nov. 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 nov. 14 ] Available from: https://doi.org/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 nov. 14 ] Available from: https://doi.org/10.1016/j.patcog.2024.110471
  • Source: Journal of Logic and Computation. Unidade: IME

    Subjects: LÓGICA MATEMÁTICA, PROGRAMAÇÃO LINEAR

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      FINGER, Marcelo e PRETO, Sandro. Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic. Journal of Logic and Computation, 2023Tradução . . Disponível em: https://doi.org/10.1093/logcom/exad059. Acesso em: 14 nov. 2024.
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      Finger, M., & Preto, S. (2023). Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic. Journal of Logic and Computation. doi:10.1093/logcom/exad059
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      Finger M, Preto S. Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic [Internet]. Journal of Logic and Computation. 2023 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1093/logcom/exad059
    • Vancouver

      Finger M, Preto S. Polyhedral semantics and the tractable approximation of Łukasiewicz infinitely-valued logic [Internet]. Journal of Logic and Computation. 2023 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1093/logcom/exad059
  • Source: Computational Biology and Chemistry. Unidade: IME

    Subjects: ÁLGEBRAS DE BOOLE, COMPUTAÇÃO APLICADA, NEOPLASIAS PULMONARES

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      GUPTA, Shantanu e SILVEIRA, Daner Acunha e HASHIMOTO, Ronaldo Fumio. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma. Computational Biology and Chemistry, v. 106, p. 1-6, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.compbiolchem.2023.107926. Acesso em: 14 nov. 2024.
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      Gupta, S., Silveira, D. A., & Hashimoto, R. F. (2023). A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma. Computational Biology and Chemistry, 106, 1-6. doi:10.1016/j.compbiolchem.2023.107926
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      Gupta S, Silveira DA, Hashimoto RF. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma [Internet]. Computational Biology and Chemistry. 2023 ; 106 1-6.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.compbiolchem.2023.107926
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      Gupta S, Silveira DA, Hashimoto RF. A Boolean model of the oncogene role of FAM111B in lung adenocarcinoma [Internet]. Computational Biology and Chemistry. 2023 ; 106 1-6.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.compbiolchem.2023.107926
  • Source: The Knowledge Engineering Review. Unidades: IME, FD

    Subjects: ALGORITMOS E ESTRUTURAS DE DADOS, DECISÃO JUDICIAL, BRASIL

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      SOUZA, Jackson José de et al. Selecting and ranking leading cases in Brazilian Supreme Court decisions. The Knowledge Engineering Review, v. 38, n. artigo e7, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1017/S0269888923000073. Acesso em: 14 nov. 2024.
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      Souza, J. J. de, Finger, M., Araújo, J. A. A. de, & Maranhão, J. (2023). Selecting and ranking leading cases in Brazilian Supreme Court decisions. The Knowledge Engineering Review, 38( artigo e7), 1-18. doi:10.1017/S0269888923000073
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      Souza JJ de, Finger M, Araújo JAA de, Maranhão J. Selecting and ranking leading cases in Brazilian Supreme Court decisions [Internet]. The Knowledge Engineering Review. 2023 ; 38( artigo e7): 1-18.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1017/S0269888923000073
    • Vancouver

      Souza JJ de, Finger M, Araújo JAA de, Maranhão J. Selecting and ranking leading cases in Brazilian Supreme Court decisions [Internet]. The Knowledge Engineering Review. 2023 ; 38( artigo e7): 1-18.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1017/S0269888923000073
  • Source: Mathematics in Industry Reports. Conference titles: Brazilian Study Group with Industry. Unidades: IME, ICMC

    Subjects: ESTRUTURAS ORDENADAS, METODOLOGIA E TÉCNICAS DE COMPUTAÇÃO

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      BIRGIN, Ernesto Julian Goldberg et al. Optimization of slice configuration of steel coils. 2023, Anais.. Cambridge: Cambridge University Press, 2023. Disponível em: https://doi.org/10.33774/miir-2023-03tt9. Acesso em: 14 nov. 2024.
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      Birgin, E. J. G., Ertel, P. C. R., Kolossoski, O., Lopes, M. M., Marcondes, D. M. S. V., & Toledo, F. M. B. de. (2023). Optimization of slice configuration of steel coils. In Mathematics in Industry Reports. Cambridge: Cambridge University Press. doi:10.33774/miir-2023-03tt9
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      Birgin EJG, Ertel PCR, Kolossoski O, Lopes MM, Marcondes DMSV, Toledo FMB de. Optimization of slice configuration of steel coils [Internet]. Mathematics in Industry Reports. 2023 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.33774/miir-2023-03tt9
    • Vancouver

      Birgin EJG, Ertel PCR, Kolossoski O, Lopes MM, Marcondes DMSV, Toledo FMB de. Optimization of slice configuration of steel coils [Internet]. Mathematics in Industry Reports. 2023 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.33774/miir-2023-03tt9
  • Source: Logic Journal of the IGPL. Unidade: IME

    Assunto: LÓGICA MATEMÁTICA

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      PRETO, Sandro e FINGER, Marcelo. Proving properties of binary classification neural networks via Łukasiewicz logic. Logic Journal of the IGPL, v. 31, n. 5, p. 805-821, 2023Tradução . . Disponível em: https://doi.org/10.1093/jigpal/jzac050. Acesso em: 14 nov. 2024.
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      Preto, S., & Finger, M. (2023). Proving properties of binary classification neural networks via Łukasiewicz logic. Logic Journal of the IGPL, 31( 5), 805-821. doi:10.1093/jigpal/jzac050
    • NLM

      Preto S, Finger M. Proving properties of binary classification neural networks via Łukasiewicz logic [Internet]. Logic Journal of the IGPL. 2023 ; 31( 5): 805-821.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1093/jigpal/jzac050
    • Vancouver

      Preto S, Finger M. Proving properties of binary classification neural networks via Łukasiewicz logic [Internet]. Logic Journal of the IGPL. 2023 ; 31( 5): 805-821.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1093/jigpal/jzac050
  • Source: Environment and Planning B: urban analytics and city science. Unidades: IME, IFSC

    Subjects: ESPAÇOS VERDES, PROCESSOS DE DIFUSÃO, TEORIA DOS GRAFOS

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      TOKUDA, Eric Keiji et al. Estimating the effects of urban green regions in terms of diffusion. Environment and Planning B: urban analytics and city science, v. 50, n. 4, p. 1023-1038, 2023Tradução . . Disponível em: https://doi.org/10.1177/23998083221131572. Acesso em: 14 nov. 2024.
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      Tokuda, E. K., Arruda, H. F. de, Domingues, G. S., Costa, L. da F., Shibata, F. A. S., Cesar Junior, R. M., & Comin, C. H. (2023). Estimating the effects of urban green regions in terms of diffusion. Environment and Planning B: urban analytics and city science, 50( 4), 1023-1038. doi:10.1177/23998083221131572
    • NLM

      Tokuda EK, Arruda HF de, Domingues GS, Costa L da F, Shibata FAS, Cesar Junior RM, Comin CH. Estimating the effects of urban green regions in terms of diffusion [Internet]. Environment and Planning B: urban analytics and city science. 2023 ; 50( 4): 1023-1038.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1177/23998083221131572
    • Vancouver

      Tokuda EK, Arruda HF de, Domingues GS, Costa L da F, Shibata FAS, Cesar Junior RM, Comin CH. Estimating the effects of urban green regions in terms of diffusion [Internet]. Environment and Planning B: urban analytics and city science. 2023 ; 50( 4): 1023-1038.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1177/23998083221131572
  • Source: Cancer Medicine. Unidades: IME, FM, BIOINFORMÁTICA

    Subjects: APRENDIZADO COMPUTACIONAL, NEOPLASIAS

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      CUNHA, Mateus Trinconi et al. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study. Cancer Medicine, v. 12, n. 4, p. 5099-5109, 2023Tradução . . Disponível em: https://doi.org/10.1002/cam4.5254. Acesso em: 14 nov. 2024.
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      Cunha, M. T., Borges, A. P. de S., Carvalho, V. J., Fujita, A., & Castro Junior, G. de C. (2023). Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study. Cancer Medicine, 12( 4), 5099-5109. doi:10.1002/cam4.5254
    • NLM

      Cunha MT, Borges AP de S, Carvalho VJ, Fujita A, Castro Junior G de C. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study [Internet]. Cancer Medicine. 2023 ; 12( 4): 5099-5109.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1002/cam4.5254
    • Vancouver

      Cunha MT, Borges AP de S, Carvalho VJ, Fujita A, Castro Junior G de C. Predicting survival in metastatic non‐small cell lung cancer patients with poor ECOG‐PS: a single‐arm prospective study [Internet]. Cancer Medicine. 2023 ; 12( 4): 5099-5109.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1002/cam4.5254
  • Source: Journal of Bioinformatics and Computational Biology. Unidade: IME

    Subjects: BIOINFORMÁTICA, NEOPLASIAS PULMONARES, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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      RELVAS, Carlos E. M. et al. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, v. 21, n. artigo 2350019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1142/S0219720023500191. Acesso em: 14 nov. 2024.
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      Relvas, C. E. M., Nakata, A., Chen, G., Beer, D. G., Gotoh, N., & Fujita, A. (2023). A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification. Journal of Bioinformatics and Computational Biology, 21( artigo 2350019), 1-26. doi:10.1142/S0219720023500191
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      Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1142/S0219720023500191
    • Vancouver

      Relvas CEM, Nakata A, Chen G, Beer DG, Gotoh N, Fujita A. A model-based clustering algorithm with covariates adjustment and its application to lung cancer stratification [Internet]. Journal of Bioinformatics and Computational Biology. 2023 ; 21( artigo 2350019): 1-26.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1142/S0219720023500191
  • Source: Machine Learning: Science and Technology. Unidades: IF, IME

    Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE DADOS, ESTATÍSTICA

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      RODRIGUES, Natália Villa Nova e ABRAMO, L. Raul e HIRATA, Nina Sumiko Tomita. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, v. 4, n. artigo 045019, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1088/2632-2153/ad0285. Acesso em: 14 nov. 2024.
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      Rodrigues, N. V. N., Abramo, L. R., & Hirata, N. S. T. (2023). The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data. Machine Learning: Science and Technology, 4( artigo 045019), 1-26. doi:10.1088/2632-2153/ad0285
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      Rodrigues NVN, Abramo LR, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
    • Vancouver

      Rodrigues NVN, Abramo LR, Hirata NST. The information of attribute uncertainties: what convolutional neural networks can learn about errors in input data [Internet]. Machine Learning: Science and Technology. 2023 ; 4( artigo 045019): 1-26.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1088/2632-2153/ad0285
  • Source: Journal of Complex Networks. Unidade: IME

    Subjects: GRAFOS ALEATÓRIOS, TEORIA ESPECTRAL

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      GUZMAN, Grover Enrique Castro e FUJITA, André. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity. Journal of Complex Networks, v. 11, n. 2, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.1093/comnet/cnad005. Acesso em: 14 nov. 2024.
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      Guzman, G. E. C., & Fujita, A. (2023). A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity. Journal of Complex Networks, 11( 2), 1-15. doi:10.1093/comnet/cnad005
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      Guzman GEC, Fujita A. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity [Internet]. Journal of Complex Networks. 2023 ; 11( 2): 1-15.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1093/comnet/cnad005
    • Vancouver

      Guzman GEC, Fujita A. A fast algorithm to approximate the spectral density of locally tree-like networks with assortativity [Internet]. Journal of Complex Networks. 2023 ; 11( 2): 1-15.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1093/comnet/cnad005
  • Source: Natural Language Engineering. Unidade: IME

    Subjects: APRENDIZADO COMPUTACIONAL, MÉTODOS ESTATÍSTICOS PARA APRENDIZAGEM

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      SALVATORE, Felipe de Souza et al. A resampling-based method to evaluate NLI models. Natural Language Engineering, 2023Tradução . . Disponível em: https://doi.org/10.1017/S1351324923000268. Acesso em: 14 nov. 2024.
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      Salvatore, F. de S., Finger, M., Hirata Júnior, R., & Patriota, A. G. (2023). A resampling-based method to evaluate NLI models. Natural Language Engineering. doi:10.1017/S1351324923000268
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      Salvatore F de S, Finger M, Hirata Júnior R, Patriota AG. A resampling-based method to evaluate NLI models [Internet]. Natural Language Engineering. 2023 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1017/S1351324923000268
    • Vancouver

      Salvatore F de S, Finger M, Hirata Júnior R, Patriota AG. A resampling-based method to evaluate NLI models [Internet]. Natural Language Engineering. 2023 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1017/S1351324923000268
  • Source: Scientifc Reports. Unidades: FM, ICB, IME

    Subjects: MICROBIOLOGIA, LEUCÓCITOS, COVID-19, ENVELHECIMENTO, BIOMARCADORES, TRANSCRIÇÃO GÊNICA, INFECÇÕES POR CORONAVIRUS, NEUTRÓFILOS, LINFÓCITOS

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      BANDO, Silvia Yumi et al. Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients. Scientifc Reports, v. 13, p. 1-17, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-28227-6. Acesso em: 14 nov. 2024.
    • APA

      Bando, S. Y., Bertonha, F. B., Vieira, S. E., Durigon, D. B. L. de O., Chalup, V. N., Palmeira, P., et al. (2023). Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients. Scientifc Reports, 13, 1-17. doi:10.1038/s41598-023-28227-6
    • NLM

      Bando SY, Bertonha FB, Vieira SE, Durigon DBL de O, Chalup VN, Palmeira P, Curi ACPC, Faria CS, Lauterbach GP, Regalio FA, Durigon EL, Jorge PPD, Antonangelo L, Cesar Junior RM, Moreira Filho CA. Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients [Internet]. Scientifc Reports. 2023 ; 13 1-17.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1038/s41598-023-28227-6
    • Vancouver

      Bando SY, Bertonha FB, Vieira SE, Durigon DBL de O, Chalup VN, Palmeira P, Curi ACPC, Faria CS, Lauterbach GP, Regalio FA, Durigon EL, Jorge PPD, Antonangelo L, Cesar Junior RM, Moreira Filho CA. Blood leukocyte transcriptional modules and differentially expressed genes associated with disease severity and age in COVID-19 patients [Internet]. Scientifc Reports. 2023 ; 13 1-17.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1038/s41598-023-28227-6
  • Source: Scientific Reports. Unidades: FM, IME

    Assunto: COMPUTAÇÃO APLICADA

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      BANDO, Silvia Yumi et al. Transcriptomic analysis reveals distinct adaptive molecular mechanism in the hippocampal CA3 from rats susceptible or not-susceptible to hyperthermia-induced seizures. Scientific Reports, v. 13, n. artigo 10265, p. 1-18, 2023Tradução . . Disponível em: https://doi.org/10.1038/s41598-023-37535-w. Acesso em: 14 nov. 2024.
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      Bando, S. Y., Bertonha, F. B., Menezes, P. H. N., Takahara, A. K., Khaled, N. A., Santos, P., et al. (2023). Transcriptomic analysis reveals distinct adaptive molecular mechanism in the hippocampal CA3 from rats susceptible or not-susceptible to hyperthermia-induced seizures. Scientific Reports, 13( artigo 10265), 1-18. doi:10.1038/s41598-023-37535-w
    • NLM

      Bando SY, Bertonha FB, Menezes PHN, Takahara AK, Khaled NA, Santos P, Junqueira MS, César Júnior RM, Moreira-Filho CA. Transcriptomic analysis reveals distinct adaptive molecular mechanism in the hippocampal CA3 from rats susceptible or not-susceptible to hyperthermia-induced seizures [Internet]. Scientific Reports. 2023 ; 13( artigo 10265): 1-18.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1038/s41598-023-37535-w
    • Vancouver

      Bando SY, Bertonha FB, Menezes PHN, Takahara AK, Khaled NA, Santos P, Junqueira MS, César Júnior RM, Moreira-Filho CA. Transcriptomic analysis reveals distinct adaptive molecular mechanism in the hippocampal CA3 from rats susceptible or not-susceptible to hyperthermia-induced seizures [Internet]. Scientific Reports. 2023 ; 13( artigo 10265): 1-18.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1038/s41598-023-37535-w
  • Source: Scientific Reports. Unidade: IME

    Assunto: CIÊNCIA DA COMPUTAÇÃO

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      GUPTA, Shantanu et al. Dynamical modeling of miR‑34a, miR‑449a, and miR‑16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells. Scientific Reports, v. 12, n. artigo 4911, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-08900-y. Acesso em: 14 nov. 2024.
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      Gupta, S., Panda, P. K., Hashimoto, R. F., Samal, S. K., Mishra, S., Verma, S. K., et al. (2022). Dynamical modeling of miR‑34a, miR‑449a, and miR‑16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells. Scientific Reports, 12( artigo 4911), 1-13. doi:10.1038/s41598-022-08900-y
    • NLM

      Gupta S, Panda PK, Hashimoto RF, Samal SK, Mishra S, Verma SK, Mishra YK, Ahuja R. Dynamical modeling of miR‑34a, miR‑449a, and miR‑16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells [Internet]. Scientific Reports. 2022 ; 12( artigo 4911): 1-13.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1038/s41598-022-08900-y
    • Vancouver

      Gupta S, Panda PK, Hashimoto RF, Samal SK, Mishra S, Verma SK, Mishra YK, Ahuja R. Dynamical modeling of miR‑34a, miR‑449a, and miR‑16 reveals numerous DDR signaling pathways regulating senescence, autophagy, and apoptosis in HeLa cells [Internet]. Scientific Reports. 2022 ; 12( artigo 4911): 1-13.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1038/s41598-022-08900-y

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