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LIMA FILHO, Ricardo B et al. High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy. 2024, Anais.. Piscataway: IEEE, 2024. Disponível em: https://doi.org/10.1109/IJCNN60899.2024.10650557. Acesso em: 07 dez. 2025.
APA
Lima Filho, R. B., Fernandes, J. M., Ji, D., Liang, Z., Sabino-Silva, R., & Carneiro, M. G. (2024). High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN60899.2024.10650557
NLM
Lima Filho RB, Fernandes JM, Ji D, Liang Z, Sabino-Silva R, Carneiro MG. High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy [Internet]. Proceedings. 2024 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650557
Vancouver
Lima Filho RB, Fernandes JM, Ji D, Liang Z, Sabino-Silva R, Carneiro MG. High-Level Network-based Detection of Oral Cancer from ATR-FTIR Spectroscopy [Internet]. Proceedings. 2024 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650557
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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: 07 dez. 2025.
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 2025 dez. 07 ] 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 2025 dez. 07 ] Available from: https://doi.org/10.1109/IJCNN60899.2024.10650514
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DOS SANTOS, Felipe Albino e FUTORNY, Vyacheslav e ZHAO, Kaiming. Universal central extensions of Krichever-Novikov algebras and orthogonal polynomials. 2024, Anais.. Providence: American Mathematical Society - AMS, 2024. . Acesso em: 07 dez. 2025.
APA
Dos Santos, F. A., Futorny, V., & Zhao, K. (2024). Universal central extensions of Krichever-Novikov algebras and orthogonal polynomials. In Proceedings. Providence: American Mathematical Society - AMS. doi:10.1090/pspum/108/01962
NLM
Dos Santos FA, Futorny V, Zhao K. Universal central extensions of Krichever-Novikov algebras and orthogonal polynomials. Proceedings. 2024 ;[citado 2025 dez. 07 ]
Vancouver
Dos Santos FA, Futorny V, Zhao K. Universal central extensions of Krichever-Novikov algebras and orthogonal polynomials. Proceedings. 2024 ;[citado 2025 dez. 07 ]
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COSTA, Suayder Milhomem et al. Tactile path guidance via weakly supervised visual attention. 2024, Anais.. New York: ACM, 2024. Disponível em: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Costa_TactilePathGuidanceViaWeaklySupervisedVisualAttention_UrbanAccess2024.pdf. Acesso em: 07 dez. 2025.
APA
Costa, S. M., Damaceno, R. J. P., Morimitsu, H., & César Júnior, R. M. (2024). Tactile path guidance via weakly supervised visual attention. In Proceedings. New York: ACM. Recuperado de https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Costa_TactilePathGuidanceViaWeaklySupervisedVisualAttention_UrbanAccess2024.pdf
NLM
Costa SM, Damaceno RJP, Morimitsu H, César Júnior RM. Tactile path guidance via weakly supervised visual attention [Internet]. Proceedings. 2024 ;[citado 2025 dez. 07 ] Available from: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Costa_TactilePathGuidanceViaWeaklySupervisedVisualAttention_UrbanAccess2024.pdf
Vancouver
Costa SM, Damaceno RJP, Morimitsu H, César Júnior RM. Tactile path guidance via weakly supervised visual attention [Internet]. Proceedings. 2024 ;[citado 2025 dez. 07 ] Available from: https://accessiblecities.github.io/UrbanAccess2024/assets/papers/Costa_TactilePathGuidanceViaWeaklySupervisedVisualAttention_UrbanAccess2024.pdf
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LI, Hongwei et al. Quantitative hemodynamic measurements of the posterior circulation in moyamoya disease patients using arterial spin labeling dynamic MRA. 2024, Anais.. Concord: International Society for Magnetic Resonance in Medicine - ISMRM, 2024. Disponível em: https://archive.ismrm.org/2024/2197.html. Acesso em: 07 dez. 2025.
APA
Li, H., Shao, X., Solcia, G., Wang, S., Suzuki, Y., Wang, D. J. J., et al. (2024). Quantitative hemodynamic measurements of the posterior circulation in moyamoya disease patients using arterial spin labeling dynamic MRA. In Proceedings. Concord: International Society for Magnetic Resonance in Medicine - ISMRM. Recuperado de https://archive.ismrm.org/2024/2197.html
NLM
Li H, Shao X, Solcia G, Wang S, Suzuki Y, Wang DJJ, Wang H, Chen Z. Quantitative hemodynamic measurements of the posterior circulation in moyamoya disease patients using arterial spin labeling dynamic MRA [Internet]. Proceedings. 2024 ;[citado 2025 dez. 07 ] Available from: https://archive.ismrm.org/2024/2197.html
Vancouver
Li H, Shao X, Solcia G, Wang S, Suzuki Y, Wang DJJ, Wang H, Chen Z. Quantitative hemodynamic measurements of the posterior circulation in moyamoya disease patients using arterial spin labeling dynamic MRA [Internet]. Proceedings. 2024 ;[citado 2025 dez. 07 ] Available from: https://archive.ismrm.org/2024/2197.html
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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: 07 dez. 2025.
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 2025 dez. 07 ] 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 2025 dez. 07 ] Available from: https://doi.org/10.1145/3617023.3617038
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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: 07 dez. 2025. , 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 2025 dez. 07 ] 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 2025 dez. 07 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
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MOSAIYEBZADEH, Fatemeh et al. Intrusion detection system for IoHT devices using federated learning. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10225932. Acesso em: 07 dez. 2025.
APA
Mosaiyebzadeh, F., Pouriyeh, S., Parizi, R. M., Han, M., & Batista, D. M. (2023). Intrusion detection system for IoHT devices using federated learning. In Proceedings. Piscataway: IEEE. doi:10.1109/INFOCOMWKSHPS57453.2023.10225932
NLM
Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Han M, Batista DM. Intrusion detection system for IoHT devices using federated learning [Internet]. Proceedings. 2023 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10225932
Vancouver
Mosaiyebzadeh F, Pouriyeh S, Parizi RM, Han M, Batista DM. Intrusion detection system for IoHT devices using federated learning [Internet]. Proceedings. 2023 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1109/INFOCOMWKSHPS57453.2023.10225932
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COLLIRI, Tiago Santos e WEIGUANG, Liu e LIANG, Zhao. An optimized modularity-based high level classification model. 2020, Anais.. Piscataway: IEEE, 2020. Disponível em: https://doi.org/10.1109/IJCNN48605.2020.9206755. Acesso em: 07 dez. 2025.
APA
Colliri, T. S., Weiguang, L., & Liang, Z. (2020). An optimized modularity-based high level classification model. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN48605.2020.9206755
NLM
Colliri TS, Weiguang L, Liang Z. An optimized modularity-based high level classification model [Internet]. Proceedings. 2020 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206755
Vancouver
Colliri TS, Weiguang L, Liang Z. An optimized modularity-based high level classification model [Internet]. Proceedings. 2020 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206755
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MARTINS, Augusto et al. Incidence angle-dependence in image reconstruction crosstalk of broadband birefringent c-Si metasurfaces. 2019, Anais.. Lisbon: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2019. Disponível em: https://repositorio.usp.br/directbitstream/30d18e06-0770-43f1-a6fe-638089e750f0/sysno3192016_trabalho%2002.pdf. Acesso em: 07 dez. 2025.
APA
Martins, A., Li, J., Mota, A. F., Wang, Y., Gonçalves Neto, L., Borges, B. -H. V., & Martins, E. R. (2019). Incidence angle-dependence in image reconstruction crosstalk of broadband birefringent c-Si metasurfaces. In Proceedings. Lisbon: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/30d18e06-0770-43f1-a6fe-638089e750f0/sysno3192016_trabalho%2002.pdf
NLM
Martins A, Li J, Mota AF, Wang Y, Gonçalves Neto L, Borges B-HV, Martins ER. Incidence angle-dependence in image reconstruction crosstalk of broadband birefringent c-Si metasurfaces [Internet]. Proceedings. 2019 ;[citado 2025 dez. 07 ] Available from: https://repositorio.usp.br/directbitstream/30d18e06-0770-43f1-a6fe-638089e750f0/sysno3192016_trabalho%2002.pdf
Vancouver
Martins A, Li J, Mota AF, Wang Y, Gonçalves Neto L, Borges B-HV, Martins ER. Incidence angle-dependence in image reconstruction crosstalk of broadband birefringent c-Si metasurfaces [Internet]. Proceedings. 2019 ;[citado 2025 dez. 07 ] Available from: https://repositorio.usp.br/directbitstream/30d18e06-0770-43f1-a6fe-638089e750f0/sysno3192016_trabalho%2002.pdf
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GAO, Xubo et al. Particle competition for multilayer network community detection. 2019, Anais.. New York: ACM, 2019. Disponível em: https://doi.org/10.1145/3318299.3318320. Acesso em: 07 dez. 2025.
APA
Gao, X., Zheng, Q., Verri, F. A. N., Rodrigues, R. D., & Liang, Z. (2019). Particle competition for multilayer network community detection. In Proceedings. New York: ACM. doi:10.1145/3318299.3318320
NLM
Gao X, Zheng Q, Verri FAN, Rodrigues RD, Liang Z. Particle competition for multilayer network community detection [Internet]. Proceedings. 2019 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1145/3318299.3318320
Vancouver
Gao X, Zheng Q, Verri FAN, Rodrigues RD, Liang Z. Particle competition for multilayer network community detection [Internet]. Proceedings. 2019 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1145/3318299.3318320
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LI, Siyuan et al. Single image deraining: a comprehensive benchmark analysis. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/CVPR.2019.00396. Acesso em: 07 dez. 2025.
APA
Li, S., Araujo, I. B., Ren, W., Wang, Z., Tokuda, E. K., Hirata Júnior, R., et al. (2019). Single image deraining: a comprehensive benchmark analysis. In Proceedings. Piscataway: IEEE. doi:10.1109/CVPR.2019.00396
NLM
Li S, Araujo IB, Ren W, Wang Z, Tokuda EK, Hirata Júnior R, César Júnior RM, Zhang J, Guo X. Single image deraining: a comprehensive benchmark analysis [Internet]. Proceedings. 2019 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1109/CVPR.2019.00396
Vancouver
Li S, Araujo IB, Ren W, Wang Z, Tokuda EK, Hirata Júnior R, César Júnior RM, Zhang J, Guo X. Single image deraining: a comprehensive benchmark analysis [Internet]. Proceedings. 2019 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1109/CVPR.2019.00396
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VARGAS JÚNIOR, Valdivino e MACHADO, Fábio Prates e RAVISHANKAR, Krishnamurthi. The rumor percolation model and its variations. 2019, Anais.. Singapore: Springer, 2019. Disponível em: https://doi.org/10.1007/978-981-15-0298-9_9. Acesso em: 07 dez. 2025.
APA
Vargas Júnior, V., Machado, F. P., & Ravishankar, K. (2019). The rumor percolation model and its variations. In Proceedings. Singapore: Springer. doi:10.1007/978-981-15-0298-9_9
NLM
Vargas Júnior V, Machado FP, Ravishankar K. The rumor percolation model and its variations [Internet]. Proceedings. 2019 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1007/978-981-15-0298-9_9
Vancouver
Vargas Júnior V, Machado FP, Ravishankar K. The rumor percolation model and its variations [Internet]. Proceedings. 2019 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1007/978-981-15-0298-9_9
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CARNEIRO, Murilo G et al. Improving semantic role labeling using high-level classification in complex networks. 2017, Anais.. Los Alamitos: IEEE, 2017. Disponível em: https://doi.org/10.1109/FSKD.2017.8393113. Acesso em: 07 dez. 2025.
APA
Carneiro, M. G., Rosa, J. L. G., Qiusheng, Z., Xiaoming, L., & Liang, Z. (2017). Improving semantic role labeling using high-level classification in complex networks. In Proceedings. Los Alamitos: IEEE. doi:10.1109/FSKD.2017.8393113
NLM
Carneiro MG, Rosa JLG, Qiusheng Z, Xiaoming L, Liang Z. Improving semantic role labeling using high-level classification in complex networks [Internet]. Proceedings. 2017 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1109/FSKD.2017.8393113
Vancouver
Carneiro MG, Rosa JLG, Qiusheng Z, Xiaoming L, Liang Z. Improving semantic role labeling using high-level classification in complex networks [Internet]. Proceedings. 2017 ;[citado 2025 dez. 07 ] Available from: https://doi.org/10.1109/FSKD.2017.8393113
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FREITAS, Isabel Cristina de et al. Separating the SERS electromagnetic and chemical enhancements in silicon wafer/gold nanoparticles substrates. 2017, Anais.. Durham: International Union of Pure and Applied Chemistry (IUPAC), 2017. Disponível em: http://www.neopixdmi.com.br/@mci/iupac2017/. Acesso em: 07 dez. 2025.
APA
Freitas, I. C. de, Wang, J., Alves, T. V., Ando, R. A., & Camargo, P. H. C. de. (2017). Separating the SERS electromagnetic and chemical enhancements in silicon wafer/gold nanoparticles substrates. In Proceedings. Durham: International Union of Pure and Applied Chemistry (IUPAC). Recuperado de http://www.neopixdmi.com.br/@mci/iupac2017/
NLM
Freitas IC de, Wang J, Alves TV, Ando RA, Camargo PHC de. Separating the SERS electromagnetic and chemical enhancements in silicon wafer/gold nanoparticles substrates [Internet]. Proceedings. 2017 ;[citado 2025 dez. 07 ] Available from: http://www.neopixdmi.com.br/@mci/iupac2017/
Vancouver
Freitas IC de, Wang J, Alves TV, Ando RA, Camargo PHC de. Separating the SERS electromagnetic and chemical enhancements in silicon wafer/gold nanoparticles substrates [Internet]. Proceedings. 2017 ;[citado 2025 dez. 07 ] Available from: http://www.neopixdmi.com.br/@mci/iupac2017/
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SILVA, Matias et al. Análisis de la interacción cíclica arena-pilote bajo cargas axiales en cámara de calibración. 2012, Anais.. Concepción, Chile: Universidad de Concepción, 2012. Disponível em: https://repositorio.usp.br/directbitstream/62ed5cd2-e652-4fb1-9d07-285e8f7925e7/trabalho%2047%20-%20AN%C3%81LISIS%20DE%20LA%20INTERACCI%C3%93N%20C%C3%8DCLICA%20ARENA-PILOTE%20BAJO%20CARGAS%20AXIALES%20EN%20C%C3%81MARA%20DE%20CALIBRACI%C3%93N%20%28VII%20Congreso%20Chileno%20de%20Geotecnia%202012%29.pdf. Acesso em: 07 dez. 2025.
APA
Silva, M., Foray, P. Y., Tsuha, C. de H. C., Zhongxuan, Y., Jardine, R. J., & Rimoy, S. (2012). Análisis de la interacción cíclica arena-pilote bajo cargas axiales en cámara de calibración. In Proceedings. Concepción, Chile: Universidad de Concepción. Recuperado de https://repositorio.usp.br/directbitstream/62ed5cd2-e652-4fb1-9d07-285e8f7925e7/trabalho%2047%20-%20AN%C3%81LISIS%20DE%20LA%20INTERACCI%C3%93N%20C%C3%8DCLICA%20ARENA-PILOTE%20BAJO%20CARGAS%20AXIALES%20EN%20C%C3%81MARA%20DE%20CALIBRACI%C3%93N%20%28VII%20Congreso%20Chileno%20de%20Geotecnia%202012%29.pdf
NLM
Silva M, Foray PY, Tsuha C de HC, Zhongxuan Y, Jardine RJ, Rimoy S. Análisis de la interacción cíclica arena-pilote bajo cargas axiales en cámara de calibración [Internet]. Proceedings. 2012 ;[citado 2025 dez. 07 ] Available from: https://repositorio.usp.br/directbitstream/62ed5cd2-e652-4fb1-9d07-285e8f7925e7/trabalho%2047%20-%20AN%C3%81LISIS%20DE%20LA%20INTERACCI%C3%93N%20C%C3%8DCLICA%20ARENA-PILOTE%20BAJO%20CARGAS%20AXIALES%20EN%20C%C3%81MARA%20DE%20CALIBRACI%C3%93N%20%28VII%20Congreso%20Chileno%20de%20Geotecnia%202012%29.pdf
Vancouver
Silva M, Foray PY, Tsuha C de HC, Zhongxuan Y, Jardine RJ, Rimoy S. Análisis de la interacción cíclica arena-pilote bajo cargas axiales en cámara de calibración [Internet]. Proceedings. 2012 ;[citado 2025 dez. 07 ] Available from: https://repositorio.usp.br/directbitstream/62ed5cd2-e652-4fb1-9d07-285e8f7925e7/trabalho%2047%20-%20AN%C3%81LISIS%20DE%20LA%20INTERACCI%C3%93N%20C%C3%8DCLICA%20ARENA-PILOTE%20BAJO%20CARGAS%20AXIALES%20EN%20C%C3%81MARA%20DE%20CALIBRACI%C3%93N%20%28VII%20Congreso%20Chileno%20de%20Geotecnia%202012%29.pdf