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  • Source: São Paulo Journal of Mathematical Sciences. Unidade: ICMC

    Assunto: TEORIA QUALITATIVA

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      PEREZ, Otavio Henrique e SILVA, Paulo Ricardo da. Polynomial slow-fast systems on the Poincaré-Lyapunov sphere. São Paulo Journal of Mathematical Sciences, 2024Tradução . . Disponível em: https://doi.org/10.1007/s40863-024-00441-8. Acesso em: 26 set. 2024.
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      Perez, O. H., & Silva, P. R. da. (2024). Polynomial slow-fast systems on the Poincaré-Lyapunov sphere. São Paulo Journal of Mathematical Sciences. doi:10.1007/s40863-024-00441-8
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      Perez OH, Silva PR da. Polynomial slow-fast systems on the Poincaré-Lyapunov sphere [Internet]. São Paulo Journal of Mathematical Sciences. 2024 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s40863-024-00441-8
    • Vancouver

      Perez OH, Silva PR da. Polynomial slow-fast systems on the Poincaré-Lyapunov sphere [Internet]. São Paulo Journal of Mathematical Sciences. 2024 ;[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/s40863-024-00441-8
  • Source: Quarterly Journal of Mathematics. Unidade: ICMC

    Subjects: HOMOTOPIA, COHOMOLOGIA

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      IDRISSI, Najib e VIEIRA, Renato Vasconcellos. Non-formality of Voronov's swiss-cheese operads. Quarterly Journal of Mathematics, v. 75, n. 1, p. 63-95, 2024Tradução . . Disponível em: https://doi.org/10.1093/qmath/haad041. Acesso em: 26 set. 2024.
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      Idrissi, N., & Vieira, R. V. (2024). Non-formality of Voronov's swiss-cheese operads. Quarterly Journal of Mathematics, 75( 1), 63-95. doi:10.1093/qmath/haad041
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      Idrissi N, Vieira RV. Non-formality of Voronov's swiss-cheese operads [Internet]. Quarterly Journal of Mathematics. 2024 ; 75( 1): 63-95.[citado 2024 set. 26 ] Available from: https://doi.org/10.1093/qmath/haad041
    • Vancouver

      Idrissi N, Vieira RV. Non-formality of Voronov's swiss-cheese operads [Internet]. Quarterly Journal of Mathematics. 2024 ; 75( 1): 63-95.[citado 2024 set. 26 ] Available from: https://doi.org/10.1093/qmath/haad041
  • Source: Proceedings of Machine Learning Research - PMLR. Conference titles: International Conference on Grammatical Inference - ICGI. Unidade: ICMC

    Subjects: APRENDIZAGEM, PROGRAMAÇÃO GENÉTICA, INFERÊNCIA, ENGENHARIA DE SOFTWARE

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      GROZ, Roland et al. Active inference of extended finite state models of software systems. Proceedings of Machine Learning Research - PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v217/groz23a.html. Acesso em: 26 set. 2024. , 2023
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      Groz, R., Oriat, C., Vega, G., Simão, A. da S., Foster, M., & Walkinshaw, N. (2023). Active inference of extended finite state models of software systems. Proceedings of Machine Learning Research - PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v217/groz23a.html
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      Groz R, Oriat C, Vega G, Simão A da S, Foster M, Walkinshaw N. Active inference of extended finite state models of software systems [Internet]. Proceedings of Machine Learning Research - PMLR. 2023 ; 217 265-269.[citado 2024 set. 26 ] Available from: https://proceedings.mlr.press/v217/groz23a.html
    • Vancouver

      Groz R, Oriat C, Vega G, Simão A da S, Foster M, Walkinshaw N. Active inference of extended finite state models of software systems [Internet]. Proceedings of Machine Learning Research - PMLR. 2023 ; 217 265-269.[citado 2024 set. 26 ] Available from: https://proceedings.mlr.press/v217/groz23a.html
  • Source: Lecture Notes in Computer Science - LNCS. Conference titles: International Conference on Formal Engineering Methods - ICFEM. Unidade: ICMC

    Subjects: ALGORITMOS ÚTEIS E ESPECÍFICOS, ENGENHARIA REVERSA DE SOFTWARE, INFERÊNCIA

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      FOSTER, Michael et al. Active inference of EFSMs without reset. Lecture Notes in Computer Science - LNCS. Singapura: Springer. Disponível em: https://doi.org/10.1007/978-981-99-7584-6_3. Acesso em: 26 set. 2024. , 2023
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      Foster, M., Groz, R., Oriat, C., Simão, A. da S., Vega, G., & Walkinshaw, N. (2023). Active inference of EFSMs without reset. Lecture Notes in Computer Science - LNCS. Singapura: Springer. doi:10.1007/978-981-99-7584-6_3
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      Foster M, Groz R, Oriat C, Simão A da S, Vega G, Walkinshaw N. Active inference of EFSMs without reset [Internet]. Lecture Notes in Computer Science - LNCS. 2023 ; 14308 29-46.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-981-99-7584-6_3
    • Vancouver

      Foster M, Groz R, Oriat C, Simão A da S, Vega G, Walkinshaw N. Active inference of EFSMs without reset [Internet]. Lecture Notes in Computer Science - LNCS. 2023 ; 14308 29-46.[citado 2024 set. 26 ] Available from: https://doi.org/10.1007/978-981-99-7584-6_3
  • Source: Chaos, Solitons and Fractals. Unidade: ICMC

    Subjects: MUTUALISMO (BIOLOGIA), COMPETIÇÃO, ESTABILIDADE ESTRUTURAL, ANÁLISE NUMÉRICA APLICADA

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      WANG, Xiangrong et al. Interspecific competition shapes the structural stability of mutualistic networks. Chaos, Solitons and Fractals, v. 172, p. 1-9, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2023.113507. Acesso em: 26 set. 2024.
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      Wang, X., Peron, T., Dubbeldam, J. L. A., Kéfi, S., & Moreno, Y. (2023). Interspecific competition shapes the structural stability of mutualistic networks. Chaos, Solitons and Fractals, 172, 1-9. doi:10.1016/j.chaos.2023.113507
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      Wang X, Peron T, Dubbeldam JLA, Kéfi S, Moreno Y. Interspecific competition shapes the structural stability of mutualistic networks [Internet]. Chaos, Solitons and Fractals. 2023 ; 172 1-9.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.chaos.2023.113507
    • Vancouver

      Wang X, Peron T, Dubbeldam JLA, Kéfi S, Moreno Y. Interspecific competition shapes the structural stability of mutualistic networks [Internet]. Chaos, Solitons and Fractals. 2023 ; 172 1-9.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.chaos.2023.113507
  • Source: Annales Scientifiques de l'École Normale Supérieure. Unidade: ICMC

    Subjects: SISTEMAS DINÂMICOS, TEORIA ERGÓDICA, DIFEOMORFISMOS, DINÂMICA DE FOLHEAÇÕES

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      BUZZI, Jérôme e FISHER, Todd e TAHZIBI, Ali. A dichotomy for measures of maximal entropy near time-one maps of transitive Anosov flows. Annales Scientifiques de l'École Normale Supérieure, v. 55, n. 4, p. 969-1002, 2022Tradução . . Disponível em: https://doi.org/10.24033/asens.2511. Acesso em: 26 set. 2024.
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      Buzzi, J., Fisher, T., & Tahzibi, A. (2022). A dichotomy for measures of maximal entropy near time-one maps of transitive Anosov flows. Annales Scientifiques de l'École Normale Supérieure, 55( 4), 969-1002. doi:10.24033/asens.2511
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      Buzzi J, Fisher T, Tahzibi A. A dichotomy for measures of maximal entropy near time-one maps of transitive Anosov flows [Internet]. Annales Scientifiques de l'École Normale Supérieure. 2022 ; 55( 4): 969-1002.[citado 2024 set. 26 ] Available from: https://doi.org/10.24033/asens.2511
    • Vancouver

      Buzzi J, Fisher T, Tahzibi A. A dichotomy for measures of maximal entropy near time-one maps of transitive Anosov flows [Internet]. Annales Scientifiques de l'École Normale Supérieure. 2022 ; 55( 4): 969-1002.[citado 2024 set. 26 ] Available from: https://doi.org/10.24033/asens.2511
  • Source: Biomedical Signal Processing and Control. Unidades: IFSC, ICMC

    Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, OSTEOARTRITE DO JOELHO

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      RIBAS, Lucas Correia et al. A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative. Biomedical Signal Processing and Control, v. 222, n. Ja 2022, p. 103133-1-103133-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2021.103133. Acesso em: 26 set. 2024.
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      Ribas, L. C., Riad, R., Jennane, R., & Bruno, O. M. (2022). A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative. Biomedical Signal Processing and Control, 222( Ja 2022), 103133-1-103133-10. doi:10.1016/j.bspc.2021.103133
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      Ribas LC, Riad R, Jennane R, Bruno OM. A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative [Internet]. Biomedical Signal Processing and Control. 2022 ; 222( Ja 2022): 103133-1-103133-10.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.bspc.2021.103133
    • Vancouver

      Ribas LC, Riad R, Jennane R, Bruno OM. A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative [Internet]. Biomedical Signal Processing and Control. 2022 ; 222( Ja 2022): 103133-1-103133-10.[citado 2024 set. 26 ] Available from: https://doi.org/10.1016/j.bspc.2021.103133
  • Source: Applied Sciences. Unidade: ICMC

    Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, TECNOLOGIAS DA SAÚDE, TRANSTORNOS DO SONO, APNEIA DO SONO

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      RODRIGUES JUNIOR, José Fernando et al. CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy. Applied Sciences, v. 12, n. 15, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.3390/app12157618. Acesso em: 26 set. 2024.
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      Rodrigues Junior, J. F., Bailly, S., Pepin, J. -L., Goeuriot, L., Spadon, G., & Amer-Yahia, S. (2022). CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy. Applied Sciences, 12( 15), 1-17. doi:10.3390/app12157618
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      Rodrigues Junior JF, Bailly S, Pepin J-L, Goeuriot L, Spadon G, Amer-Yahia S. CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy [Internet]. Applied Sciences. 2022 ; 12( 15): 1-17.[citado 2024 set. 26 ] Available from: https://doi.org/10.3390/app12157618
    • Vancouver

      Rodrigues Junior JF, Bailly S, Pepin J-L, Goeuriot L, Spadon G, Amer-Yahia S. CPAP adherence assessment via gaussian mixture modeling of telemonitored apnea therapy [Internet]. Applied Sciences. 2022 ; 12( 15): 1-17.[citado 2024 set. 26 ] Available from: https://doi.org/10.3390/app12157618
  • Source: Proceedings of Machine Learning Research : PMLR. Conference titles: Conference on Neural Information Processing Systems - NeurIPS. Unidade: ICMC

    Assunto: APRENDIZADO COMPUTACIONAL

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      BAZ, Adrian El et al. Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v176/el-baz22a.html. Acesso em: 26 set. 2024. , 2022
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      Baz, A. E., Ullah, I., Alcobaça, E., Carvalho, A. C. P. de L. F. de, Chen, H., Ferreira, F., et al. (2022). Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v176/el-baz22a.html
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      Baz AE, Ullah I, Alcobaça E, Carvalho ACP de LF de, Chen H, Ferreira F, Gouk H, Guan C, Guyon I, Hospedales T, Hu S, Huisman M, Hutter F, Liu Z, Mohr F, Öztürk E, Rijn JN van, Sun H, Wang X, Zhu W. Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 176 80-96.[citado 2024 set. 26 ] Available from: https://proceedings.mlr.press/v176/el-baz22a.html
    • Vancouver

      Baz AE, Ullah I, Alcobaça E, Carvalho ACP de LF de, Chen H, Ferreira F, Gouk H, Guan C, Guyon I, Hospedales T, Hu S, Huisman M, Hutter F, Liu Z, Mohr F, Öztürk E, Rijn JN van, Sun H, Wang X, Zhu W. Lessons learned from the NeurIPS 2021 MetaDL challenge: backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 176 80-96.[citado 2024 set. 26 ] Available from: https://proceedings.mlr.press/v176/el-baz22a.html
  • Source: Journal of Knot Theory and its Ramifications. Unidade: ICMC

    Subjects: GEOMETRIA ALGÉBRICA, TOPOLOGIA DIFERENCIAL

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      KORINMAN, Julien e QUESNEY, Alexandre Thomas Guillaume. The quantum trace as a quantum non-abelianization map. Journal of Knot Theory and its Ramifications, v. 31, n. 6, p. 2250032-1-2250032-49, 2022Tradução . . Disponível em: https://doi.org/10.1142/S0218216522500328. Acesso em: 26 set. 2024.
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      Korinman, J., & Quesney, A. T. G. (2022). The quantum trace as a quantum non-abelianization map. Journal of Knot Theory and its Ramifications, 31( 6), 2250032-1-2250032-49. doi:10.1142/S0218216522500328
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      Korinman J, Quesney ATG. The quantum trace as a quantum non-abelianization map [Internet]. Journal of Knot Theory and its Ramifications. 2022 ; 31( 6): 2250032-1-2250032-49.[citado 2024 set. 26 ] Available from: https://doi.org/10.1142/S0218216522500328
    • Vancouver

      Korinman J, Quesney ATG. The quantum trace as a quantum non-abelianization map [Internet]. Journal of Knot Theory and its Ramifications. 2022 ; 31( 6): 2250032-1-2250032-49.[citado 2024 set. 26 ] Available from: https://doi.org/10.1142/S0218216522500328
  • Source: Nonlinearity. Unidade: ICMC

    Subjects: SISTEMAS DINÂMICOS, TEORIA ERGÓDICA, ENTROPIA

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      TAHZIBI, Ali. Unstable entropy in smooth ergodic theory. Nonlinearity, v. 34, n. 8, p. R75-R118, 2021Tradução . . Disponível em: https://doi.org/10.1088/1361-6544/abd7c7. Acesso em: 26 set. 2024.
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      Tahzibi, A. (2021). Unstable entropy in smooth ergodic theory. Nonlinearity, 34( 8), R75-R118. doi:10.1088/1361-6544/abd7c7
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      Tahzibi A. Unstable entropy in smooth ergodic theory [Internet]. Nonlinearity. 2021 ; 34( 8): R75-R118.[citado 2024 set. 26 ] Available from: https://doi.org/10.1088/1361-6544/abd7c7
    • Vancouver

      Tahzibi A. Unstable entropy in smooth ergodic theory [Internet]. Nonlinearity. 2021 ; 34( 8): R75-R118.[citado 2024 set. 26 ] Available from: https://doi.org/10.1088/1361-6544/abd7c7

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