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Trabalho de evento
The strength of influence ties in stock networks: empirical analysis for portfolio selection (2023)
Ambiel, Thiago ; Castilho, Douglas; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: Proceedings. Conference titles: IEEE International Conference on Data Mining Workshops - ICDMW. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, ANÁLISE DE SÉRIES TEMPORAIS, REDES COMPLEXAS, MERCADO FINANCEIRO
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ABNT
AMBIEL, Thiago e CASTILHO, Douglas e CARVALHO, André Carlos Ponce de Leon Ferreira de. The strength of influence ties in stock networks: empirical analysis for portfolio selection. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICDMW60847.2023.00066. Acesso em: 27 jul. 2024.
APA
Ambiel, T., Castilho, D., & Carvalho, A. C. P. de L. F. de. (2023). The strength of influence ties in stock networks: empirical analysis for portfolio selection. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICDMW60847.2023.00066
NLM
Ambiel T, Castilho D, Carvalho ACP de LF de. The strength of influence ties in stock networks: empirical analysis for portfolio selection [Internet]. Proceedings. 2023 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/ICDMW60847.2023.00066
Vancouver
Ambiel T, Castilho D, Carvalho ACP de LF de. The strength of influence ties in stock networks: empirical analysis for portfolio selection [Internet]. Proceedings. 2023 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/ICDMW60847.2023.00066
Trabalho de evento
Feature selection using complex networks to support price trend forecast in energy markets (2023)
Castilho, Douglas; Santos, Moises Rocha dos ; Tinós, Renato ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Paula, Marcos Basile Saviano de; Ladeira, Lucas; Guarnier, Ewerton ; Silva Filho, Donato ; Suiama, Danilo Y; Macedo Junior, Edmur A; Alipio, Lucas P
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), ENERGIA ELÉTRICA
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CASTILHO, Douglas et al. Feature selection using complex networks to support price trend forecast in energy markets. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191426. Acesso em: 27 jul. 2024.
APA
Castilho, D., Santos, M. R. dos, Tinós, R., Carvalho, A. C. P. de L. F. de, Paula, M. B. S. de, Ladeira, L., et al. (2023). Feature selection using complex networks to support price trend forecast in energy markets. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN54540.2023.10191426
NLM
Castilho D, Santos MR dos, Tinós R, Carvalho ACP de LF de, Paula MBS de, Ladeira L, Guarnier E, Silva Filho D, Suiama DY, Macedo Junior EA, Alipio LP. Feature selection using complex networks to support price trend forecast in energy markets [Internet]. Proceedings. 2023 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191426
Vancouver
Castilho D, Santos MR dos, Tinós R, Carvalho ACP de LF de, Paula MBS de, Ladeira L, Guarnier E, Silva Filho D, Suiama DY, Macedo Junior EA, Alipio LP. Feature selection using complex networks to support price trend forecast in energy markets [Internet]. Proceedings. 2023 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191426
Trabalho de evento
Complex network-based data classification using minimum spanning tree metric and optimization (2023)
Saire, Josimar Edinson Chire ; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL
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SAIRE, Josimar Edinson Chire e LIANG, Zhao. Complex network-based data classification using minimum spanning tree metric and optimization. 2023, Anais.. Piscataway: IEEE, 2023. Disponível em: https://doi.org/10.1109/IJCNN54540.2023.10191004. Acesso em: 27 jul. 2024.
APA
Saire, J. E. C., & Liang, Z. (2023). Complex network-based data classification using minimum spanning tree metric and optimization. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN54540.2023.10191004
NLM
Saire JEC, Liang Z. Complex network-based data classification using minimum spanning tree metric and optimization [Internet]. Proceedings. 2023 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191004
Vancouver
Saire JEC, Liang Z. Complex network-based data classification using minimum spanning tree metric and optimization [Internet]. Proceedings. 2023 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/IJCNN54540.2023.10191004
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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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: 27 jul. 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 jul. 27 ] 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 jul. 27 ] Available from: https://doi.org/10.1016/j.procs.2023.08.192
Trabalho de evento
Data classification via centrality measures of complex networks (2023)
Fernandes, Janayna M.; Suzuki, Guilherme M.; Zhao, Liang ; Carneiro, Murillo Guimarães
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks (IJCNN). Unidade: FFCLRP
Subjects: MATEMÁTICA DA COMPUTAÇÃO, REDES COMPLEXAS, ALGORITMOS
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FERNANDES, Janayna M. et al. Data classification via centrality measures of complex networks. 2023, Anais.. New York: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2023. Disponível em: https://ieeexplore.ieee.org/document/10192048. Acesso em: 27 jul. 2024.
APA
Fernandes, J. M., Suzuki, G. M., Zhao, L., & Carneiro, M. G. (2023). Data classification via centrality measures of complex networks. In Proceedings. New York: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Recuperado de https://ieeexplore.ieee.org/document/10192048
NLM
Fernandes JM, Suzuki GM, Zhao L, Carneiro MG. Data classification via centrality measures of complex networks [Internet]. Proceedings. 2023 ;[citado 2024 jul. 27 ] Available from: https://ieeexplore.ieee.org/document/10192048
Vancouver
Fernandes JM, Suzuki GM, Zhao L, Carneiro MG. Data classification via centrality measures of complex networks [Internet]. Proceedings. 2023 ;[citado 2024 jul. 27 ] Available from: https://ieeexplore.ieee.org/document/10192048
Trabalho de evento
Combining clutter reduction methods for temporal network visualization (2022)
Ponciano, Jean Roberto ; Linhares, Claudio Douglas Gouveia ; Rocha, Luis Enrique Correa da ; Faria, Elaine R ; Travençolo, Bruno Augusto Nassif
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: VISUALIZAÇÃO, REDES COMPLEXAS
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PONCIANO, Jean Roberto et al. Combining clutter reduction methods for temporal network visualization. 2022, Anais.. New York: ACM, 2022. Disponível em: https://doi.org/10.1145/3477314.3507018. Acesso em: 27 jul. 2024.
APA
Ponciano, J. R., Linhares, C. D. G., Rocha, L. E. C. da, Faria, E. R., & Travençolo, B. A. N. (2022). Combining clutter reduction methods for temporal network visualization. In Proceedings. New York: ACM. doi:10.1145/3477314.3507018
NLM
Ponciano JR, Linhares CDG, Rocha LEC da, Faria ER, Travençolo BAN. Combining clutter reduction methods for temporal network visualization [Internet]. Proceedings. 2022 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1145/3477314.3507018
Vancouver
Ponciano JR, Linhares CDG, Rocha LEC da, Faria ER, Travençolo BAN. Combining clutter reduction methods for temporal network visualization [Internet]. Proceedings. 2022 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1145/3477314.3507018
Trabalho de evento
Complex texture features learned by applying randomized neural network on graphs (2022)
Zielinski, Kallil M. C.; Ribas, Lucas Correia ; Scabini, Leonardo ; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC
Subjects: REDES COMPLEXAS, IMAGEM DIGITAL (ANÁLISE), RECONHECIMENTO DE IMAGEM, RECONHECIMENTO DE PADRÕES, TEXTURA (ANÁLISE), INTELIGÊNCIA ARTIFICIAL
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ZIELINSKI, Kallil M. C. et al. Complex texture features learned by applying randomized neural network on graphs. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784123. Acesso em: 27 jul. 2024.
APA
Zielinski, K. M. C., Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). Complex texture features learned by applying randomized neural network on graphs. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784123
NLM
Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123
Vancouver
Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123
Trabalho de evento
A complex network approach for fish species recognition based on otolith shape (2022)
Ribas, Lucas Correia ; Scabini, Leonardo ; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC
Subjects: REDES COMPLEXAS, REDES NEURAIS, IMAGEM DIGITAL, RECONHECIMENTO DE IMAGEM, INTELIGÊNCIA ARTIFICIAL
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RIBAS, Lucas Correia e SCABINI, Leonardo e BRUNO, Odemir Martinez. A complex network approach for fish species recognition based on otolith shape. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784114. Acesso em: 27 jul. 2024.
APA
Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). A complex network approach for fish species recognition based on otolith shape. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784114
NLM
Ribas LC, Scabini L, Bruno OM. A complex network approach for fish species recognition based on otolith shape [Internet]. Proceedings. 2022 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784114
Vancouver
Ribas LC, Scabini L, Bruno OM. A complex network approach for fish species recognition based on otolith shape [Internet]. Proceedings. 2022 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784114
Trabalho de evento
Robustness of citation networks retrieved from queries (2021)
Benatti, Alexandre ; Arruda, Henrique Ferraz de ; Comin, Cesar H.; Silva, Filipi Nascimento ; Costa, Luciano da Fontoura
Source: Proceedings. Conference titles: International Conference On Scientometrics & Informetrics. Unidade: IFSC
Subjects: REDES COMPLEXAS, CITAÇÃO BIBLIOGRÁFICA
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BENATTI, Alexandre et al. Robustness of citation networks retrieved from queries. 2021, Anais.. Leuven: International Society for Scientometrics and Informetrics - ISSI, 2021. Disponível em: https://issi2021.org/proceedings/. Acesso em: 27 jul. 2024.
APA
Benatti, A., Arruda, H. F. de, Comin, C. H., Silva, F. N., & Costa, L. da F. (2021). Robustness of citation networks retrieved from queries. In Proceedings. Leuven: International Society for Scientometrics and Informetrics - ISSI. Recuperado de https://issi2021.org/proceedings/
NLM
Benatti A, Arruda HF de, Comin CH, Silva FN, Costa L da F. Robustness of citation networks retrieved from queries [Internet]. Proceedings. 2021 ;[citado 2024 jul. 27 ] Available from: https://issi2021.org/proceedings/
Vancouver
Benatti A, Arruda HF de, Comin CH, Silva FN, Costa L da F. Robustness of citation networks retrieved from queries [Internet]. Proceedings. 2021 ;[citado 2024 jul. 27 ] Available from: https://issi2021.org/proceedings/
Trabalho de evento
I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs (2021)
Linhares, Claudio Douglas Gouveia ; Lima, Daniel Mário de ; Bones, Christian Cesar ; Rebelo, Marina F. S; Gutierrez, Marco Antonio ; Traina Junior, Caetano ; Traina, Agma Juci Machado
Source: Proceedings. Conference titles: International Symposium on Computer-Based Medical Systems - CBMS. Unidade: ICMC
Subjects: BANCO DE DADOS, VISUALIZAÇÃO, MINERAÇÃO DE DADOS, REDES COMPLEXAS, COVID-19
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LINHARES, Claudio Douglas Gouveia et al. I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/CBMS52027.2021.00059. Acesso em: 27 jul. 2024.
APA
Linhares, C. D. G., Lima, D. M. de, Bones, C. C., Rebelo, M. F. S., Gutierrez, M. A., Traina Junior, C., & Traina, A. J. M. (2021). I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS52027.2021.00059
NLM
Linhares CDG, Lima DM de, Bones CC, Rebelo MFS, Gutierrez MA, Traina Junior C, Traina AJM. I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs [Internet]. Proceedings. 2021 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00059
Vancouver
Linhares CDG, Lima DM de, Bones CC, Rebelo MFS, Gutierrez MA, Traina Junior C, Traina AJM. I-CovidVis: a visual analytics tool for interoperable healthcare databases using graphs [Internet]. Proceedings. 2021 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/CBMS52027.2021.00059
Trabalho de evento
Sublinear evaluation of complex networks for extensive exploration of configurations for critical scenarios and decision making (2021)
Delbem, Alexandre Cláudio Botazzo ; Saraiva, Antonio Mauro ; London Junior, João Bosco Augusto ; Fanucchi, Rodrigo
Source: Proceedings. Conference titles: International Conference on Computational Science and Computational Intelligence - CSCI. Unidades: ICMC, EP, EESC
Subjects: REDES COMPLEXAS, TOMADA DE DECISÃO, ALGORITMOS
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DELBEM, Alexandre Cláudio Botazzo et al. Sublinear evaluation of complex networks for extensive exploration of configurations for critical scenarios and decision making. 2021, Anais.. Piscataway: IEEE, 2021. Disponível em: https://doi.org/10.1109/CSCI54926.2021.00142. Acesso em: 27 jul. 2024.
APA
Delbem, A. C. B., Saraiva, A. M., London Junior, J. B. A., & Fanucchi, R. (2021). Sublinear evaluation of complex networks for extensive exploration of configurations for critical scenarios and decision making. In Proceedings. Piscataway: IEEE. doi:10.1109/CSCI54926.2021.00142
NLM
Delbem ACB, Saraiva AM, London Junior JBA, Fanucchi R. Sublinear evaluation of complex networks for extensive exploration of configurations for critical scenarios and decision making [Internet]. Proceedings. 2021 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/CSCI54926.2021.00142
Vancouver
Delbem ACB, Saraiva AM, London Junior JBA, Fanucchi R. Sublinear evaluation of complex networks for extensive exploration of configurations for critical scenarios and decision making [Internet]. Proceedings. 2021 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/CSCI54926.2021.00142
Trabalho de evento
An optimized modularity-based high level classification model (2020)
Colliri, Tiago Santos ; Weiguang, Liu; Liang, Zhao
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE PADRÕES
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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: 27 jul. 2024.
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 2024 jul. 27 ] 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 2024 jul. 27 ] Available from: https://doi.org/10.1109/IJCNN48605.2020.9206755
Trabalho de evento
Robust ranking of brazilian Supreme Court decisions (2020)
Souza, Jackson José de ; Finger, Marcelo
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME
Subjects: REDES COMPLEXAS, ALGORITMOS E ESTRUTURAS DE DADOS, TRIBUNAL SUPREMO
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SOUZA, Jackson José de e FINGER, Marcelo. Robust ranking of brazilian Supreme Court decisions. 2020, Anais.. Cham: Springer, 2020. Disponível em: https://doi.org/10.1007/978-3-030-61377-8_40. Acesso em: 27 jul. 2024.
APA
Souza, J. J. de, & Finger, M. (2020). Robust ranking of brazilian Supreme Court decisions. In Proceedings. Cham: Springer. doi:10.1007/978-3-030-61377-8_40
NLM
Souza JJ de, Finger M. Robust ranking of brazilian Supreme Court decisions [Internet]. Proceedings. 2020 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_40
Vancouver
Souza JJ de, Finger M. Robust ranking of brazilian Supreme Court decisions [Internet]. Proceedings. 2020 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1007/978-3-030-61377-8_40
Trabalho de evento
Clustered echo state networks for signal observation and frequency filtering (2020)
Oliveira Junior, Laercio de; Stelzer, Florian; Liang, Zhao
Source: Proceedings. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: FFCLRP
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
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OLIVEIRA JUNIOR, Laercio de e STELZER, Florian e LIANG, Zhao. Clustered echo state networks for signal observation and frequency filtering. 2020, Anais.. Porto Alegre: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2020. Disponível em: https://doi.org/10.5753/kdmile.2020.11955. Acesso em: 27 jul. 2024.
APA
Oliveira Junior, L. de, Stelzer, F., & Liang, Z. (2020). Clustered echo state networks for signal observation and frequency filtering. In Proceedings. Porto Alegre: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.5753/kdmile.2020.11955
NLM
Oliveira Junior L de, Stelzer F, Liang Z. Clustered echo state networks for signal observation and frequency filtering [Internet]. Proceedings. 2020 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.5753/kdmile.2020.11955
Vancouver
Oliveira Junior L de, Stelzer F, Liang Z. Clustered echo state networks for signal observation and frequency filtering [Internet]. Proceedings. 2020 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.5753/kdmile.2020.11955
Trabalho de evento-anais periodico
On the relationship between city mobility and blocks uniformity (2020)
Tokuda, Eric Keiji ; Comin, Cesar Henrique; César Júnior, Roberto Marcondes ; Costa, Luciano da Fontoura
Source: Proceedings. Conference titles: International Electronic Conference on Entropy and Its Applications - ECEA. Unidades: IME, IFSC
Subjects: REDES COMPLEXAS, ENTROPIA, IMAGEM
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TOKUDA, Eric Keiji et al. On the relationship between city mobility and blocks uniformity. Proceedings. Basel: MDPI. Disponível em: https://doi.org/10.3390/ecea-5-06669. Acesso em: 27 jul. 2024. , 2020
APA
Tokuda, E. K., Comin, C. H., César Júnior, R. M., & Costa, L. da F. (2020). On the relationship between city mobility and blocks uniformity. Proceedings. Basel: MDPI. doi:10.3390/ecea-5-06669
NLM
Tokuda EK, Comin CH, César Júnior RM, Costa L da F. On the relationship between city mobility and blocks uniformity [Internet]. Proceedings. 2020 ; 46( 1): 22-1-22-7.[citado 2024 jul. 27 ] Available from: https://doi.org/10.3390/ecea-5-06669
Vancouver
Tokuda EK, Comin CH, César Júnior RM, Costa L da F. On the relationship between city mobility and blocks uniformity [Internet]. Proceedings. 2020 ; 46( 1): 22-1-22-7.[citado 2024 jul. 27 ] Available from: https://doi.org/10.3390/ecea-5-06669
Trabalho de evento
Echo state network performance analysis using non-random topologies (2020)
Arroyo, Diana Carolina Roca ; Florez, Alexander Ylnner Choquenaira ; Flores, Daniela Milón ; Romero, Roseli Aparecida Francelin ; Liang, Zhao
Source: Proceedings. Conference titles: IEEE Colombian Conference on Applications of Computational Intelligence - ColCACI. Unidades: ICMC, FFCLRP
Subjects: SISTEMAS DINÂMICOS, ANÁLISE DE SÉRIES TEMPORAIS, REDES COMPLEXAS
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ARROYO, Diana Carolina Roca et al. Echo state network performance analysis using non-random topologies. 2020, Anais.. Danvers: IEEE, 2020. Disponível em: https://doi.org/10.1109/ColCACI50549.2020.9248714. Acesso em: 27 jul. 2024.
APA
Arroyo, D. C. R., Florez, A. Y. C., Flores, D. M., Romero, R. A. F., & Liang, Z. (2020). Echo state network performance analysis using non-random topologies. In Proceedings. Danvers: IEEE. doi:10.1109/ColCACI50549.2020.9248714
NLM
Arroyo DCR, Florez AYC, Flores DM, Romero RAF, Liang Z. Echo state network performance analysis using non-random topologies [Internet]. Proceedings. 2020 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/ColCACI50549.2020.9248714
Vancouver
Arroyo DCR, Florez AYC, Flores DM, Romero RAF, Liang Z. Echo state network performance analysis using non-random topologies [Internet]. Proceedings. 2020 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/ColCACI50549.2020.9248714
Trabalho de evento
A scalability approach based on multilevel optimization for link prediction methods (2019)
Ferreira, Vinicius; Valejo, Alan Demetrius Baria ; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: REDES COMPLEXAS, ALGORITMOS ÚTEIS E ESPECÍFICOS, REDES SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FERREIRA, Vinicius e VALEJO, Alan Demetrius Baria e LOPES, Alneu de Andrade. A scalability approach based on multilevel optimization for link prediction methods. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00071. Acesso em: 27 jul. 2024.
APA
Ferreira, V., Valejo, A. D. B., & Lopes, A. de A. (2019). A scalability approach based on multilevel optimization for link prediction methods. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00071
NLM
Ferreira V, Valejo ADB, Lopes A de A. A scalability approach based on multilevel optimization for link prediction methods [Internet]. Proceedings. 2019 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/BRACIS.2019.00071
Vancouver
Ferreira V, Valejo ADB, Lopes A de A. A scalability approach based on multilevel optimization for link prediction methods [Internet]. Proceedings. 2019 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/BRACIS.2019.00071
Trabalho de evento
Identification of keywords based on artificial intelligence for knowledge management (2019)
Vasques, Dildre Georgiana ; Pedro, Paulo Sérgio Martins ; Rezende, Solange Oliveira
Source: Proceedings. Conference titles: International Conference on Knowledge Management - ICKM. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, REDES COMPLEXAS, GESTÃO DO CONHECIMENTO, TOMADA DE DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VASQUES, Dildre Georgiana e PEDRO, Paulo Sérgio Martins e REZENDE, Solange Oliveira. Identification of keywords based on artificial intelligence for knowledge management. 2019, Anais.. Florianópolis: UFSC, 2019. Disponível em: http://suceg.ufsc.br/anais/. Acesso em: 27 jul. 2024.
APA
Vasques, D. G., Pedro, P. S. M., & Rezende, S. O. (2019). Identification of keywords based on artificial intelligence for knowledge management. In Proceedings. Florianópolis: UFSC. Recuperado de http://suceg.ufsc.br/anais/
NLM
Vasques DG, Pedro PSM, Rezende SO. Identification of keywords based on artificial intelligence for knowledge management [Internet]. Proceedings. 2019 ;[citado 2024 jul. 27 ] Available from: http://suceg.ufsc.br/anais/
Vancouver
Vasques DG, Pedro PSM, Rezende SO. Identification of keywords based on artificial intelligence for knowledge management [Internet]. Proceedings. 2019 ;[citado 2024 jul. 27 ] Available from: http://suceg.ufsc.br/anais/
Trabalho de evento
A network-based model for optimizing returns in the stock market (2019)
Colliri, Tiago Santos ; Liang, Zhao
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: FFCLRP, ICMC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, BOLSA DE VALORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COLLIRI, Tiago Santos e LIANG, Zhao. A network-based model for optimizing returns in the stock market. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00118. Acesso em: 27 jul. 2024.
APA
Colliri, T. S., & Liang, Z. (2019). A network-based model for optimizing returns in the stock market. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00118
NLM
Colliri TS, Liang Z. A network-based model for optimizing returns in the stock market [Internet]. Proceedings. 2019 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/BRACIS.2019.00118
Vancouver
Colliri TS, Liang Z. A network-based model for optimizing returns in the stock market [Internet]. Proceedings. 2019 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/BRACIS.2019.00118
Trabalho de evento
Trajectory network assessment based on analysis of stay points cluster (2018)
Minatel, Diego; Valejo, Alan; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: REDES COMPLEXAS, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MINATEL, Diego e VALEJO, Alan e LOPES, Alneu de Andrade. Trajectory network assessment based on analysis of stay points cluster. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/BRACIS.2018.00103. Acesso em: 27 jul. 2024.
APA
Minatel, D., Valejo, A., & Lopes, A. de A. (2018). Trajectory network assessment based on analysis of stay points cluster. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2018.00103
NLM
Minatel D, Valejo A, Lopes A de A. Trajectory network assessment based on analysis of stay points cluster [Internet]. Proceedings. 2018 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/BRACIS.2018.00103
Vancouver
Minatel D, Valejo A, Lopes A de A. Trajectory network assessment based on analysis of stay points cluster [Internet]. Proceedings. 2018 ;[citado 2024 jul. 27 ] Available from: https://doi.org/10.1109/BRACIS.2018.00103

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