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Artigo de periodico
Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks (2024)
Valejo, Alan Demetrius Baria ; Althoff, Paulo Eduardo ; Faleiros, Thiago de Paulo ; Rocha Filho, Geraldo Pereira ; Yu-Tao, Zhu ; Jianglong, Yan; Weiguang, Liu; Liang, Zhao
Source: IEEE Transactions on Network Science and Engineering. Unidades: FFCLRP, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, DESCOBERTA DE CONHECIMENTO, ALGORITMOS ÚTEIS E ESPECÍFICOS, REDES COMPLEXAS
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ABNT
VALEJO, Alan Demetrius Baria et al. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks. IEEE Transactions on Network Science and Engineering, v. 11, n. 2, p. 1799-1809, 2024Tradução . . Disponível em: https://doi.org/10.1109/TNSE.2023.3331655. Acesso em: 04 nov. 2024.
APA
Valejo, A. D. B., Althoff, P. E., Faleiros, T. de P., Rocha Filho, G. P., Yu-Tao, Z., Jianglong, Y., et al. (2024). Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks. IEEE Transactions on Network Science and Engineering, 11( 2), 1799-1809. doi:10.1109/TNSE.2023.3331655
NLM
Valejo ADB, Althoff PE, Faleiros T de P, Rocha Filho GP, Yu-Tao Z, Jianglong Y, Weiguang L, Liang Z. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks [Internet]. IEEE Transactions on Network Science and Engineering. 2024 ; 11( 2): 1799-1809.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
Vancouver
Valejo ADB, Althoff PE, Faleiros T de P, Rocha Filho GP, Yu-Tao Z, Jianglong Y, Weiguang L, Liang Z. Coarsening algorithm based on multi-label propagation for knowledge discovery in bipartite networks [Internet]. IEEE Transactions on Network Science and Engineering. 2024 ; 11( 2): 1799-1809.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/TNSE.2023.3331655
Trabalho de evento
Modelling graph neural network by aggregating the activation maps of self-organizing map (2024)
Martins, Luan Vinicius de Carvalho ; Donghong, Ji; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: REDES NEURAIS, TEORIA DOS GRAFOS
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ABNT
MARTINS, Luan Vinicius de Carvalho e DONGHONG, Ji e LIANG, Zhao. Modelling graph neural network by aggregating the activation maps of self-organizing map. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/IJCNN60899.2024.10650514. Acesso em: 04 nov. 2024.
APA
Martins, L. V. de C., Donghong, J., & Liang, Z. (2024). Modelling graph neural network by aggregating the activation maps of self-organizing map. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN60899.2024.10650514
NLM
Martins LV de C, Donghong J, Liang Z. Modelling graph neural network by aggregating the activation maps of self-organizing map [Internet]. Proceedings. 2024 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650514
Vancouver
Martins LV de C, Donghong J, Liang Z. Modelling graph neural network by aggregating the activation maps of self-organizing map [Internet]. Proceedings. 2024 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650514
Artigo de periodico
Multi-valued dynamical systems on time-dependent metric spaces with applications to Navier-Stokes equations (2024)
Cui, Hongyong ; Figueroa López, Rodiak Nicolai ; López-Lázaro, Heraclio ; Simsen, Jacson
Source: Mathematische Annalen. Unidade: ICMC
Subjects: ATRATORES, DINÂMICA TOPOLÓGICA, PROBLEMAS DE CONTORNO, EQUAÇÕES DE NAVIER-STOKES, EQUAÇÕES DIFERENCIAIS PARCIAIS PARABÓLICAS, TEORIA QUALITATIVA
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ABNT
CUI, Hongyong et al. Multi-valued dynamical systems on time-dependent metric spaces with applications to Navier-Stokes equations. Mathematische Annalen, v. 390, n. 4, p. 5415-5470, 2024Tradução . . Disponível em: https://doi.org/10.1007/s00208-024-02908-7. Acesso em: 04 nov. 2024.
APA
Cui, H., Figueroa López, R. N., López-Lázaro, H., & Simsen, J. (2024). Multi-valued dynamical systems on time-dependent metric spaces with applications to Navier-Stokes equations. Mathematische Annalen, 390( 4), 5415-5470. doi:10.1007/s00208-024-02908-7
NLM
Cui H, Figueroa López RN, López-Lázaro H, Simsen J. Multi-valued dynamical systems on time-dependent metric spaces with applications to Navier-Stokes equations [Internet]. Mathematische Annalen. 2024 ; 390( 4): 5415-5470.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s00208-024-02908-7
Vancouver
Cui H, Figueroa López RN, López-Lázaro H, Simsen J. Multi-valued dynamical systems on time-dependent metric spaces with applications to Navier-Stokes equations [Internet]. Mathematische Annalen. 2024 ; 390( 4): 5415-5470.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s00208-024-02908-7
Artigo de periodico
Psychometric properties of the Brazilian Portuguese flow state scale short (FSS-BR-S) (2024)
Pinto, Ig Ibert Bittencourt Santana ; Freires, Leogildo ; Lu, Yu ; Challco, Geiser Chalco ; Fernandes, Sheyla ; Coelho, Jorge; Costa, Julio ; Pian, Yang ; Marinho, Alexandre; Isotani, Seiji
Source: PLOS ONE. Unidade: ICMC
Subjects: PORTUGUÊS DO BRASIL, PSICOMETRIA
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ABNT
PINTO, Ig Ibert Bittencourt Santana et al. Psychometric properties of the Brazilian Portuguese flow state scale short (FSS-BR-S). PLOS ONE, 2024Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0286639. Acesso em: 04 nov. 2024.
APA
Pinto, I. I. B. S., Freires, L., Lu, Y., Challco, G. C., Fernandes, S., Coelho, J., et al. (2024). Psychometric properties of the Brazilian Portuguese flow state scale short (FSS-BR-S). PLOS ONE. doi:10.1371/journal.pone.0286639
NLM
Pinto IIBS, Freires L, Lu Y, Challco GC, Fernandes S, Coelho J, Costa J, Pian Y, Marinho A, Isotani S. Psychometric properties of the Brazilian Portuguese flow state scale short (FSS-BR-S) [Internet]. PLOS ONE. 2024 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1371/journal.pone.0286639
Vancouver
Pinto IIBS, Freires L, Lu Y, Challco GC, Fernandes S, Coelho J, Costa J, Pian Y, Marinho A, Isotani S. Psychometric properties of the Brazilian Portuguese flow state scale short (FSS-BR-S) [Internet]. PLOS ONE. 2024 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1371/journal.pone.0286639
Trabalho de evento-resumo
Smoothing and finite-dimensionality of uniform attractors in Banach spaces (2024)
Cunha, Arthur Cavalcante ; Carvalho, Alexandre Nolasco de ; Cui, Hongyong ; Langa, José Antonio
Source: Abstracts. Conference titles: ICMC Summer Meeting on Differential Equations. Unidade: ICMC
Subjects: EQUAÇÕES DIFERENCIAIS PARCIAIS, ATRATORES, SISTEMAS DISSIPATIVO
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ABNT
CUNHA, Arthur Cavalcante et al. Smoothing and finite-dimensionality of uniform attractors in Banach spaces. 2024, Anais.. São Carlos: ICMC-USP, 2024. Disponível em: http://summer.icmc.usp.br/summers/summer24/pg_abstract.php. Acesso em: 04 nov. 2024.
APA
Cunha, A. C., Carvalho, A. N. de, Cui, H., & Langa, J. A. (2024). Smoothing and finite-dimensionality of uniform attractors in Banach spaces. In Abstracts. São Carlos: ICMC-USP. Recuperado de http://summer.icmc.usp.br/summers/summer24/pg_abstract.php
NLM
Cunha AC, Carvalho AN de, Cui H, Langa JA. Smoothing and finite-dimensionality of uniform attractors in Banach spaces [Internet]. Abstracts. 2024 ;[citado 2024 nov. 04 ] Available from: http://summer.icmc.usp.br/summers/summer24/pg_abstract.php
Vancouver
Cunha AC, Carvalho AN de, Cui H, Langa JA. Smoothing and finite-dimensionality of uniform attractors in Banach spaces [Internet]. Abstracts. 2024 ;[citado 2024 nov. 04 ] Available from: http://summer.icmc.usp.br/summers/summer24/pg_abstract.php
Trabalho de evento
TransGNN: a transductive graph neural network with graph dynamic embedding (2023)
Anghinoni, Leandro ; Yu-Tao, Zhu; Donghong, Ji; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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ABNT
ANGHINONI, Leandro et al. TransGNN: a transductive graph neural network with graph dynamic embedding. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191134. Acesso em: 04 nov. 2024.
APA
Anghinoni, L., Yu-Tao, Z., Donghong, J., & Liang, Z. (2023). TransGNN: a transductive graph neural network with graph dynamic embedding. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN54540.2023.10191134
NLM
Anghinoni L, Yu-Tao Z, Donghong J, Liang Z. TransGNN: a transductive graph neural network with graph dynamic embedding [Internet]. Proceedings. 2023 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191134
Vancouver
Anghinoni L, Yu-Tao Z, Donghong J, Liang Z. TransGNN: a transductive graph neural network with graph dynamic embedding [Internet]. Proceedings. 2023 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191134
Artigo de periodico-carta/editorial
Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics [Editorial] (2023)
Bianconi, Ginestra ; Arenas, Alex ; Biamonte, Jacob ; Carr, Lincoln D ; Kahng, Byungnam ; Kertesz, Janos ; Kurths, Jürgen ; Lü, Linyuan ; Masoller, Cristina ; Motter, Adilson E ; Perc, Matjaz ; Radicchi, Filippo ; Ramaswamy, Ramakrishna ; Rodrigues, Francisco Aparecido ; Sales-Pardo, Marta ; Miguel, Maxi San ; Thurner, Stefan ; Yasseri, Taha
Source: Journal of Physics : Complexity. Unidade: ICMC
Subjects: FUTURO, COMPLEXIDADE, CIÊNCIAS EXATAS
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ABNT
BIANCONI, Ginestra et al. Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics [Editorial]. Journal of Physics : Complexity. Bristol: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1088/2632-072X/ac7f75. Acesso em: 04 nov. 2024. , 2023
APA
Bianconi, G., Arenas, A., Biamonte, J., Carr, L. D., Kahng, B., Kertesz, J., et al. (2023). Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics [Editorial]. Journal of Physics : Complexity. Bristol: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1088/2632-072X/ac7f75
NLM
Bianconi G, Arenas A, Biamonte J, Carr LD, Kahng B, Kertesz J, Kurths J, Lü L, Masoller C, Motter AE, Perc M, Radicchi F, Ramaswamy R, Rodrigues FA, Sales-Pardo M, Miguel MS, Thurner S, Yasseri T. Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics [Editorial] [Internet]. Journal of Physics : Complexity. 2023 ; 4 1-28.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1088/2632-072X/ac7f75
Vancouver
Bianconi G, Arenas A, Biamonte J, Carr LD, Kahng B, Kertesz J, Kurths J, Lü L, Masoller C, Motter AE, Perc M, Radicchi F, Ramaswamy R, Rodrigues FA, Sales-Pardo M, Miguel MS, Thurner S, Yasseri T. Complex systems in the spotlight: next steps after the 2021 Nobel Prize in Physics [Editorial] [Internet]. Journal of Physics : Complexity. 2023 ; 4 1-28.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1088/2632-072X/ac7f75
Trabalho de evento
WSI2ML: an open-source whole slide image annotation software for machine learning applications (2023)
Martins, Luan Vinicius de Carvalho ; Bueno, Adriana Passos ; Defelicibus, Alexandre ; Drummond, Rodrigo Duarte ; Valieris, Renan ; Yu-Tao, Zhu ; Silva, Israel Tojal da ; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Symposium on Multimedia and the Web - WebMedia. Unidades: FFCLRP, ICMC
Subjects: BIOINFORMÁTICA, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, PATOLOGIA CLÍNICA, TECNOLOGIAS DA SAÚDE
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ABNT
MARTINS, Luan Vinicius de Carvalho et al. WSI2ML: an open-source whole slide image annotation software for machine learning applications. 2023, Anais.. New York: ACM, 2023. Disponível em: https://doi.org/10.1145/3617023.3617038. Acesso em: 04 nov. 2024.
APA
Martins, L. V. de C., Bueno, A. P., Defelicibus, A., Drummond, R. D., Valieris, R., Yu-Tao, Z., et al. (2023). WSI2ML: an open-source whole slide image annotation software for machine learning applications. In Proceedings. New York: ACM. doi:10.1145/3617023.3617038
NLM
Martins LV de C, Bueno AP, Defelicibus A, Drummond RD, Valieris R, Yu-Tao Z, Silva IT da, Liang Z. WSI2ML: an open-source whole slide image annotation software for machine learning applications [Internet]. Proceedings. 2023 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1145/3617023.3617038
Vancouver
Martins LV de C, Bueno AP, Defelicibus A, Drummond RD, Valieris R, Yu-Tao Z, Silva IT da, Liang Z. WSI2ML: an open-source whole slide image annotation software for machine learning applications [Internet]. Proceedings. 2023 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1145/3617023.3617038
Artigo de periodico
Structure and function in artificial, zebrafish and human neural networks (2023)
Ji, Peng ; Wang, Yufan ; Peron, Thomas ; Li, Chunhe; Nagler, Jan ; Du, Jiulin
Source: Physics of Life Reviews. Unidade: ICMC
Subjects: NEUROCIÊNCIAS, INTELIGÊNCIA ARTIFICIAL, REDES NEURAIS
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ABNT
JI, Peng et al. Structure and function in artificial, zebrafish and human neural networks. Physics of Life Reviews, v. 45, p. 74-111, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.plrev.2023.04.004. Acesso em: 04 nov. 2024.
APA
Ji, P., Wang, Y., Peron, T., Li, C., Nagler, J., & Du, J. (2023). Structure and function in artificial, zebrafish and human neural networks. Physics of Life Reviews, 45, 74-111. doi:10.1016/j.plrev.2023.04.004
NLM
Ji P, Wang Y, Peron T, Li C, Nagler J, Du J. Structure and function in artificial, zebrafish and human neural networks [Internet]. Physics of Life Reviews. 2023 ; 45 74-111.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.plrev.2023.04.004
Vancouver
Ji P, Wang Y, Peron T, Li C, Nagler J, Du J. Structure and function in artificial, zebrafish and human neural networks [Internet]. Physics of Life Reviews. 2023 ; 45 74-111.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.plrev.2023.04.004
Artigo de periodico
Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey (2023)
Mosaiyebzadeh, Fatemeh ; Pouriyeh, Seyedamin ; Parizi, Reza M ; Sheng, Quan Z ; Han, Meng ; Zhao, Liang ; Sannino, Giovanna ; Ranieri, Caetano Mazzoni ; Ueyama, Jó ; Batista, Daniel Macêdo
Source: Electronics. Unidades: ICMC, IME
Subjects: INTERNET DAS COISAS, TECNOLOGIAS DA SAÚDE, PRIVACIDADE, APRENDIZAGEM
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ABNT
MOSAIYEBZADEH, Fatemeh et al. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey. Electronics, v. 12, n. 12, p. 1-28, 2023Tradução . . Disponível em: https://doi.org/10.3390/electronics12122703. Acesso em: 04 nov. 2024.
APA
Mosaiyebzadeh, F., Pouriyeh, S., Parizi, R. M., Sheng, Q. Z., Han, M., Zhao, L., et al. (2023). Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey. Electronics, 12( 12), 1-28. doi:10.3390/electronics12122703
NLM
Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Sheng QZ, Han M, Zhao L, Sannino G, Ranieri CM, Ueyama J, Batista DM. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey [Internet]. Electronics. 2023 ; 12( 12): 1-28.[citado 2024 nov. 04 ] Available from: https://doi.org/10.3390/electronics12122703
Vancouver
Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Sheng QZ, Han M, Zhao L, Sannino G, Ranieri CM, Ueyama J, Batista DM. Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey [Internet]. Electronics. 2023 ; 12( 12): 1-28.[citado 2024 nov. 04 ] Available from: https://doi.org/10.3390/electronics12122703
Artigo de periodico
Disintegrations of non-hyperbolic ergodic measures along the center foliation of DA maps (2023)
Tahzibi, Ali ; Zhang, Jinhua
Source: Bulletin of the London Mathematical Society. Unidade: ICMC
Subjects: TEORIA ERGÓDICA, SISTEMAS DINÂMICOS
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ABNT
TAHZIBI, Ali e ZHANG, Jinhua. Disintegrations of non-hyperbolic ergodic measures along the center foliation of DA maps. Bulletin of the London Mathematical Society, v. 55, n. 3, p. 1404-1418, 2023Tradução . . Disponível em: https://doi.org/10.1112/blms.12800. Acesso em: 04 nov. 2024.
APA
Tahzibi, A., & Zhang, J. (2023). Disintegrations of non-hyperbolic ergodic measures along the center foliation of DA maps. Bulletin of the London Mathematical Society, 55( 3), 1404-1418. doi:10.1112/blms.12800
NLM
Tahzibi A, Zhang J. Disintegrations of non-hyperbolic ergodic measures along the center foliation of DA maps [Internet]. Bulletin of the London Mathematical Society. 2023 ; 55( 3): 1404-1418.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1112/blms.12800
Vancouver
Tahzibi A, Zhang J. Disintegrations of non-hyperbolic ergodic measures along the center foliation of DA maps [Internet]. Bulletin of the London Mathematical Society. 2023 ; 55( 3): 1404-1418.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1112/blms.12800
Trabalho de evento-anais periodico
Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach (2023)
Zuñiga, Esteban Wilfredo Vilca ; Ranieri, Caetano Mazzoni ; Zhao, Liang ; Ueyama, Jó ; Zhu, Yu-tao; Ji, Donghong
Source: Proceedings. Conference titles: International Neural Network Society Workshop on Deep Learning Innovations and Applications - INNS DLIA. Unidades: FFCLRP, ICMC
Subjects: DINHEIRO ELETRÔNICO, APRENDIZAGEM PROFUNDA, REDES COMPLEXAS, INVESTIMENTOS, LUCRO
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ABNT
ZUÑIGA, Esteban Wilfredo Vilca et al. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach. Proceedings. Amsterdam: Elsevier. Disponível em: https://doi.org/10.1016/j.procs.2023.08.192. Acesso em: 04 nov. 2024. , 2023
APA
Zuñiga, E. W. V., Ranieri, C. M., Zhao, L., Ueyama, J., Zhu, Y. -tao, & Ji, D. (2023). Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach. Proceedings. Amsterdam: Elsevier. doi:10.1016/j.procs.2023.08.192
NLM
Zuñiga EWV, Ranieri CM, Zhao L, Ueyama J, Zhu Y-tao, Ji D. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach [Internet]. Proceedings. 2023 ; 222 539-548.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
Vancouver
Zuñiga EWV, Ranieri CM, Zhao L, Ueyama J, Zhu Y-tao, Ji D. Maximizing portfolio profitability during a cryptocurrency downtrend: a bitcoin blockchain transaction-based approach [Internet]. Proceedings. 2023 ; 222 539-548.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
Artigo de periodico
Characterizing data patterns with core-periphery network modeling (2023)
Jianglong, Yan; Anghinoni, Leandro ; Yu-Tao, Zhu; Weiguang, Liu; Gen, Li; Qiusheng, Zheng; Liang, Zhao
Source: Journal of Computational Science. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, RADIOGRAFIA, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JIANGLONG, Yan et al. Characterizing data patterns with core-periphery network modeling. Journal of Computational Science, v. 66, n. Ja 2023, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.jocs.2022.101912. Acesso em: 04 nov. 2024.
APA
Jianglong, Y., Anghinoni, L., Yu-Tao, Z., Weiguang, L., Gen, L., Qiusheng, Z., & Liang, Z. (2023). Characterizing data patterns with core-periphery network modeling. Journal of Computational Science, 66( Ja 2023), 1-13. doi:10.1016/j.jocs.2022.101912
NLM
Jianglong Y, Anghinoni L, Yu-Tao Z, Weiguang L, Gen L, Qiusheng Z, Liang Z. Characterizing data patterns with core-periphery network modeling [Internet]. Journal of Computational Science. 2023 ; 66( Ja 2023): 1-13.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.jocs.2022.101912
Vancouver
Jianglong Y, Anghinoni L, Yu-Tao Z, Weiguang L, Gen L, Qiusheng Z, Liang Z. Characterizing data patterns with core-periphery network modeling [Internet]. Journal of Computational Science. 2023 ; 66( Ja 2023): 1-13.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.jocs.2022.101912
Artigo de periodico
Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm (2023)
Pang, Xinyu; Ge, Yong‑Feng ; Wang, Kate ; Traina, Agma Juci Machado ; Wang, Hua
Source: Health Information Science and Systems. Unidade: ICMC
Subjects: SISTEMA DE SAÚDE, ALGORITMOS GENÉTICOS, TELEMEDICINA
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ABNT
PANG, Xinyu et al. Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm. Health Information Science and Systems, v. 11, p. 1-12, 2023Tradução . . Disponível em: https://doi.org/10.1007/s13755-023-00230-1. Acesso em: 04 nov. 2024.
APA
Pang, X., Ge, Y. ‑F., Wang, K., Traina, A. J. M., & Wang, H. (2023). Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm. Health Information Science and Systems, 11, 1-12. doi:10.1007/s13755-023-00230-1
NLM
Pang X, Ge Y‑F, Wang K, Traina AJM, Wang H. Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm [Internet]. Health Information Science and Systems. 2023 ; 11 1-12.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s13755-023-00230-1
Vancouver
Pang X, Ge Y‑F, Wang K, Traina AJM, Wang H. Patient assignment optimization in cloud healthcare systems: a distributed genetic algorithm [Internet]. Health Information Science and Systems. 2023 ; 11 1-12.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s13755-023-00230-1
Artigo de periodico
Complex network-based classification of radiographic images for COVID-19 diagnosis (2023)
Weiguang, Liu; Rodrigues, Rafael Delalibera ; Jianglong, Yan; Yu-Tao, Zhu; Pereira, Everson José de Freitas; Gen, Li; Qiusheng, Zheng; Liang, Zhao
Source: PLoS ONE. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR COMPUTADOR, TECNOLOGIAS DA SAÚDE, RADIOGRAFIA, COVID-19
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ABNT
WEIGUANG, Liu et al. Complex network-based classification of radiographic images for COVID-19 diagnosis. PLoS ONE, v. 18, n. 9, p. 1-26, 2023Tradução . . Disponível em: https://doi.org/10.1371/journal.pone.0290968. Acesso em: 04 nov. 2024.
APA
Weiguang, L., Rodrigues, R. D., Jianglong, Y., Yu-Tao, Z., Pereira, E. J. de F., Gen, L., et al. (2023). Complex network-based classification of radiographic images for COVID-19 diagnosis. PLoS ONE, 18( 9), 1-26. doi:10.1371/ journal.pone.0290968
NLM
Weiguang L, Rodrigues RD, Jianglong Y, Yu-Tao Z, Pereira EJ de F, Gen L, Qiusheng Z, Liang Z. Complex network-based classification of radiographic images for COVID-19 diagnosis [Internet]. PLoS ONE. 2023 ; 18( 9): 1-26.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1371/journal.pone.0290968
Vancouver
Weiguang L, Rodrigues RD, Jianglong Y, Yu-Tao Z, Pereira EJ de F, Gen L, Qiusheng Z, Liang Z. Complex network-based classification of radiographic images for COVID-19 diagnosis [Internet]. PLoS ONE. 2023 ; 18( 9): 1-26.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1371/journal.pone.0290968
Artigo de periodico
Pay attention to evolution: time series forecasting with deep graph-evolution learning (2022)
Spadon, Gabriel ; Hong, Shenda ; Machado, Bruno Brandoli ; Matwin, Stan ; Rodrigues Junior, José Fernando ; Sun, Jimeng
Source: IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM. Unidade: ICMC
Subjects: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), APRENDIZADO COMPUTACIONAL, REDES NEURAIS, TEORIA DOS GRAFOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SPADON, Gabriel et al. Pay attention to evolution: time series forecasting with deep graph-evolution learning. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM, v. 44, n. 9, p. Se 2022, 2022Tradução . . Disponível em: https://doi.org/10.1109/TPAMI.2021.3076155. Acesso em: 04 nov. 2024.
APA
Spadon, G., Hong, S., Machado, B. B., Matwin, S., Rodrigues Junior, J. F., & Sun, J. (2022). Pay attention to evolution: time series forecasting with deep graph-evolution learning. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM, 44( 9), Se 2022. doi:10.1109/TPAMI.2021.3076155
NLM
Spadon G, Hong S, Machado BB, Matwin S, Rodrigues Junior JF, Sun J. Pay attention to evolution: time series forecasting with deep graph-evolution learning [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM. 2022 ; 44( 9): Se 2022.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/TPAMI.2021.3076155
Vancouver
Spadon G, Hong S, Machado BB, Matwin S, Rodrigues Junior JF, Sun J. Pay attention to evolution: time series forecasting with deep graph-evolution learning [Internet]. IEEE Transactions on Pattern Analysis and Machine Intelligence - TPAM. 2022 ; 44( 9): Se 2022.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1109/TPAMI.2021.3076155
Artigo de periodico
Finite-dimensionality of tempered random uniform attractors (2022)
Cui, Hongyong ; Cunha, Arthur Cavalcante; Langa, José Antonio
Source: Journal of Nonlinear Science. Unidade: ICMC
Subjects: DINÂMICA TOPOLÓGICA, SISTEMAS DISSIPATIVO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CUI, Hongyong e CUNHA, Arthur Cavalcante e LANGA, José Antonio. Finite-dimensionality of tempered random uniform attractors. Journal of Nonlinear Science, v. 32, p. 1-55, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00332-021-09764-8. Acesso em: 04 nov. 2024.
APA
Cui, H., Cunha, A. C., & Langa, J. A. (2022). Finite-dimensionality of tempered random uniform attractors. Journal of Nonlinear Science, 32, 1-55. doi:10.1007/s00332-021-09764-8
NLM
Cui H, Cunha AC, Langa JA. Finite-dimensionality of tempered random uniform attractors [Internet]. Journal of Nonlinear Science. 2022 ; 32 1-55.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s00332-021-09764-8
Vancouver
Cui H, Cunha AC, Langa JA. Finite-dimensionality of tempered random uniform attractors [Internet]. Journal of Nonlinear Science. 2022 ; 32 1-55.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s00332-021-09764-8
Monografia/livro-ed/org
Proceedings of the 11th International Conference on Health Information Science - HIS (2022)
Traina, Agma Juci Machado (Editor) ; Wang, Hua (Editor) ; Zhang, Yong (Editor) ; Siuly, Siuly (Editor) ; Zhou, Rui (Editor) ; Chen, Lu (Editor)
Conference titles: International Conference on Health Information Science - HIS. Unidade: ICMC
Subjects: CIÊNCIA DA COMPUTAÇÃO, CIÊNCIA DA INFORMAÇÃO, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
Proceedings of the 11th International Conference on Health Information Science - HIS. . Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-20627-6. Acesso em: 04 nov. 2024. , 2022
APA
Proceedings of the 11th International Conference on Health Information Science - HIS. (2022). Proceedings of the 11th International Conference on Health Information Science - HIS. Cham: Springer. doi:10.1007/978-3-031-20627-6
NLM
Proceedings of the 11th International Conference on Health Information Science - HIS [Internet]. 2022 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/978-3-031-20627-6
Vancouver
Proceedings of the 11th International Conference on Health Information Science - HIS [Internet]. 2022 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/978-3-031-20627-6
Parte de monografia/livro-apres/pref/posf
The International Conference Series on Health Information Science (HIS) provides... [Prefácio] (2022)
Traina, Agma Juci Machado (Editor) ; Wang, Hua (Editor) ; Zhang, Yong (Editor) ; Siuly, Siuly (Editor) ; Zhou, Rui (Editor) ; Chen, Lu (Editor)
Source: Proceedings of the 11th International Conference on Health Information Science - HIS. Conference titles: International Conference on Health Information Science - HIS. Unidade: ICMC
Subjects: CIÊNCIA DA COMPUTAÇÃO, CIÊNCIA DA INFORMAÇÃO, TECNOLOGIAS DA SAÚDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
The International Conference Series on Health Information Science (HIS) provides.. [Prefácio]. Proceedings of the 11th International Conference on Health Information Science - HIS. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-20627-6. Acesso em: 04 nov. 2024. , 2022
APA
The International Conference Series on Health Information Science (HIS) provides.. [Prefácio]. (2022). The International Conference Series on Health Information Science (HIS) provides.. [Prefácio]. Proceedings of the 11th International Conference on Health Information Science - HIS. Cham: Springer. doi:10.1007/978-3-031-20627-6
NLM
The International Conference Series on Health Information Science (HIS) provides.. [Prefácio] [Internet]. Proceedings of the 11th International Conference on Health Information Science - HIS. 2022 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/978-3-031-20627-6
Vancouver
The International Conference Series on Health Information Science (HIS) provides.. [Prefácio] [Internet]. Proceedings of the 11th International Conference on Health Information Science - HIS. 2022 ;[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/978-3-031-20627-6
Artigo de periodico
Effects of structural modifications on cluster synchronization patterns (2022)
Qiang, Li; Peron, Thomas ; Stankovski, Tomislav ; Peng, Ji
Source: Nonlinear Dynamics. Unidade: ICMC
Subjects: REDES COMPLEXAS, SISTEMAS DINÂMICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QIANG, Li et al. Effects of structural modifications on cluster synchronization patterns. Nonlinear Dynamics, v. 108, n. 4, p. 3529-3541, 2022Tradução . . Disponível em: https://doi.org/10.1007/s11071-022-07383-w. Acesso em: 04 nov. 2024.
APA
Qiang, L., Peron, T., Stankovski, T., & Peng, J. (2022). Effects of structural modifications on cluster synchronization patterns. Nonlinear Dynamics, 108( 4), 3529-3541. doi:10.1007/s11071-022-07383-w
NLM
Qiang L, Peron T, Stankovski T, Peng J. Effects of structural modifications on cluster synchronization patterns [Internet]. Nonlinear Dynamics. 2022 ; 108( 4): 3529-3541.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s11071-022-07383-w
Vancouver
Qiang L, Peron T, Stankovski T, Peng J. Effects of structural modifications on cluster synchronization patterns [Internet]. Nonlinear Dynamics. 2022 ; 108( 4): 3529-3541.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s11071-022-07383-w

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