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Artigo de periodico
Evaluation of database balancing techniques for road accident severity classification employing arficial neural network (2020)
Chuerubim, Maria Lígia; Ferreira, Leonardo N; Valejo, Alan; Bezerra, Barbara Stolte; Marotta, Giuliano Sant'Anna ; Silva, Irineu da
Source: Transportes. Unidades: EESC, FFCLRP
Subjects: ACIDENTES DE TRÂNSITO, RODOVIAS, REDES NEURAIS
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ABNT
CHUERUBIM, Maria Lígia et al. Evaluation of database balancing techniques for road accident severity classification employing arficial neural network. Transportes, v. 28 n. 5, p. 252-266, 2020Tradução . . Disponível em: http://dx.doi.org/10.14295/transportes.v28i5.2271. Acesso em: 22 maio 2024.
APA
Chuerubim, M. L., Ferreira, L. N., Valejo, A., Bezerra, B. S., Marotta, G. S. 'A., & Silva, I. da. (2020). Evaluation of database balancing techniques for road accident severity classification employing arficial neural network. Transportes, 28 n. 5, 252-266. doi:10.14295/transportes.v28i5.2271
NLM
Chuerubim ML, Ferreira LN, Valejo A, Bezerra BS, Marotta GS'A, Silva I da. Evaluation of database balancing techniques for road accident severity classification employing arficial neural network [Internet]. Transportes. 2020 ; 28 n. 5 252-266.[citado 2024 maio 22 ] Available from: http://dx.doi.org/10.14295/transportes.v28i5.2271
Vancouver
Chuerubim ML, Ferreira LN, Valejo A, Bezerra BS, Marotta GS'A, Silva I da. Evaluation of database balancing techniques for road accident severity classification employing arficial neural network [Internet]. Transportes. 2020 ; 28 n. 5 252-266.[citado 2024 maio 22 ] Available from: http://dx.doi.org/10.14295/transportes.v28i5.2271
Artigo de periodico
Artificial neural networks restriction for road accidents severity classification in unbalanced database (2019)
Chuerubim, Maria Lígia; Valejo, Alan; Bezerra, Barbara Stolte; Silva, Irineu da
Source: Sigma Journal of Engineering and Natural Sciences. Unidades: EESC, ICMC
Subjects: ACIDENTES DE TRÂNSITO, RODOVIAS, REDES NEURAIS
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ABNT
CHUERUBIM, Maria Lígia et al. Artificial neural networks restriction for road accidents severity classification in unbalanced database. Sigma Journal of Engineering and Natural Sciences, v. 37 n. 3, p. 927-940, 2019Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/79f569dd-3df0-47c5-ba19-1e17fc63580b/sysno3166890_%5BArt%20per%5D%20Chuerubim_ARTIFICIAL%20NEURAL%20NETWORKS%20RESTRICTION.pdf. Acesso em: 22 maio 2024.
APA
Chuerubim, M. L., Valejo, A., Bezerra, B. S., & Silva, I. da. (2019). Artificial neural networks restriction for road accidents severity classification in unbalanced database. Sigma Journal of Engineering and Natural Sciences, 37 n. 3, 927-940. Recuperado de https://repositorio.usp.br/directbitstream/79f569dd-3df0-47c5-ba19-1e17fc63580b/sysno3166890_%5BArt%20per%5D%20Chuerubim_ARTIFICIAL%20NEURAL%20NETWORKS%20RESTRICTION.pdf
NLM
Chuerubim ML, Valejo A, Bezerra BS, Silva I da. Artificial neural networks restriction for road accidents severity classification in unbalanced database [Internet]. Sigma Journal of Engineering and Natural Sciences. 2019 ; 37 n. 3 927-940.[citado 2024 maio 22 ] Available from: https://repositorio.usp.br/directbitstream/79f569dd-3df0-47c5-ba19-1e17fc63580b/sysno3166890_%5BArt%20per%5D%20Chuerubim_ARTIFICIAL%20NEURAL%20NETWORKS%20RESTRICTION.pdf
Vancouver
Chuerubim ML, Valejo A, Bezerra BS, Silva I da. Artificial neural networks restriction for road accidents severity classification in unbalanced database [Internet]. Sigma Journal of Engineering and Natural Sciences. 2019 ; 37 n. 3 927-940.[citado 2024 maio 22 ] Available from: https://repositorio.usp.br/directbitstream/79f569dd-3df0-47c5-ba19-1e17fc63580b/sysno3166890_%5BArt%20per%5D%20Chuerubim_ARTIFICIAL%20NEURAL%20NETWORKS%20RESTRICTION.pdf
Artigo de periodico
Limitation of classification tree models in investigating road accident severity (2019)
Chuerubim, Maria Lígia; Valejo, Alan; Bezerra, Barbara Stolte; Silva, Irineu da
Source: Revista de Engenharia Civil IMED. Unidades: EESC, ICMC
Subjects: ACIDENTES DE TRÂNSITO, GRAVIDADE, RODOVIAS
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ABNT
CHUERUBIM, Maria Lígia et al. Limitation of classification tree models in investigating road accident severity. Revista de Engenharia Civil IMED, v. 6, n. 2, p. 3-17, 2019Tradução . . Disponível em: http://dx.doi.org/10.18256/2358-6508.2019.v6i2.2927. Acesso em: 22 maio 2024.
APA
Chuerubim, M. L., Valejo, A., Bezerra, B. S., & Silva, I. da. (2019). Limitation of classification tree models in investigating road accident severity. Revista de Engenharia Civil IMED, 6( 2), 3-17. doi:10.18256/2358-6508.2019.v6i2.2927
NLM
Chuerubim ML, Valejo A, Bezerra BS, Silva I da. Limitation of classification tree models in investigating road accident severity [Internet]. Revista de Engenharia Civil IMED. 2019 ; 6( 2): 3-17.[citado 2024 maio 22 ] Available from: http://dx.doi.org/10.18256/2358-6508.2019.v6i2.2927
Vancouver
Chuerubim ML, Valejo A, Bezerra BS, Silva I da. Limitation of classification tree models in investigating road accident severity [Internet]. Revista de Engenharia Civil IMED. 2019 ; 6( 2): 3-17.[citado 2024 maio 22 ] Available from: http://dx.doi.org/10.18256/2358-6508.2019.v6i2.2927
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
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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: 22 maio 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 maio 22 ] 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 maio 22 ] Available from: https://doi.org/10.1109/BRACIS.2018.00103
Trabalho de evento
Bayesian networks modeling in traffic accidents: case study for Brazil (2018)
Chuerubim, Maria Lígia; Valejo, Alan; Silva, Irineu da
Source: Anais. Conference titles: Congresso de Pesquisa e Ensino em Transporte da ANPET. Unidades: IB, ICMC
Subjects: SEGURANÇA NO TRÂNSITO, ACIDENTES DE TRÂNSITO, INFERÊNCIA BAYESIANA
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ABNT
CHUERUBIM, Maria Lígia e VALEJO, Alan e SILVA, Irineu da. Bayesian networks modeling in traffic accidents: case study for Brazil. 2018, Anais.. Gramado, RS: Instituto de Biociências, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/e1fdc9f1-d514-460e-a340-7b718ca050c8/sysno3166643_%5BTrab%20ev%5D%20Chuerubim_Bayesian%20Networks%20modeling_removed.pdf. Acesso em: 22 maio 2024.
APA
Chuerubim, M. L., Valejo, A., & Silva, I. da. (2018). Bayesian networks modeling in traffic accidents: case study for Brazil. In Anais. Gramado, RS: Instituto de Biociências, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/e1fdc9f1-d514-460e-a340-7b718ca050c8/sysno3166643_%5BTrab%20ev%5D%20Chuerubim_Bayesian%20Networks%20modeling_removed.pdf
NLM
Chuerubim ML, Valejo A, Silva I da. Bayesian networks modeling in traffic accidents: case study for Brazil [Internet]. Anais. 2018 ;[citado 2024 maio 22 ] Available from: https://repositorio.usp.br/directbitstream/e1fdc9f1-d514-460e-a340-7b718ca050c8/sysno3166643_%5BTrab%20ev%5D%20Chuerubim_Bayesian%20Networks%20modeling_removed.pdf
Vancouver
Chuerubim ML, Valejo A, Silva I da. Bayesian networks modeling in traffic accidents: case study for Brazil [Internet]. Anais. 2018 ;[citado 2024 maio 22 ] Available from: https://repositorio.usp.br/directbitstream/e1fdc9f1-d514-460e-a340-7b718ca050c8/sysno3166643_%5BTrab%20ev%5D%20Chuerubim_Bayesian%20Networks%20modeling_removed.pdf
Artigo de periodico
ResiDI: towards a smarter smart home system for decision-making using wireless sensors and actuators (2018)
Filho, Geraldo P. R.; Villas, Leandro A.; Freitas, Heitor; Valejo, Alan; Guidoni, Daniel L; Ueyama, Jó
Source: Computer Networks. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE, TOMADA DE DECISÃO, WIRELESS, SENSOR, CONSUMO DE ENERGIA ELÉTRICA, EFICIÊNCIA ENERGÉTICA, ENERGIA
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ABNT
FILHO, Geraldo P. R. et al. ResiDI: towards a smarter smart home system for decision-making using wireless sensors and actuators. Computer Networks, v. 135, p. 54-69, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.comnet.2018.02.009. Acesso em: 22 maio 2024.
APA
Filho, G. P. R., Villas, L. A., Freitas, H., Valejo, A., Guidoni, D. L., & Ueyama, J. (2018). ResiDI: towards a smarter smart home system for decision-making using wireless sensors and actuators. Computer Networks, 135, 54-69. doi:10.1016/j.comnet.2018.02.009
NLM
Filho GPR, Villas LA, Freitas H, Valejo A, Guidoni DL, Ueyama J. ResiDI: towards a smarter smart home system for decision-making using wireless sensors and actuators [Internet]. Computer Networks. 2018 ; 135 54-69.[citado 2024 maio 22 ] Available from: https://doi.org/10.1016/j.comnet.2018.02.009
Vancouver
Filho GPR, Villas LA, Freitas H, Valejo A, Guidoni DL, Ueyama J. ResiDI: towards a smarter smart home system for decision-making using wireless sensors and actuators [Internet]. Computer Networks. 2018 ; 135 54-69.[citado 2024 maio 22 ] Available from: https://doi.org/10.1016/j.comnet.2018.02.009
Trabalho de evento-anais periodico
Community detection in bipartite network: a modified coarsening approach (2018)
Valejo, Alan; Ferreira, Vinicius; Oliveira, Maria Cristina Ferreira de; Lopes, Alneu de Andrade
Source: Communications in Computer and Information Science. Conference titles: Annual International Symposium on Information Management and Big Data - SIMBig. Unidade: ICMC
Subjects: REDES COMPLEXAS, ALGORITMOS ÚTEIS E ESPECÍFICOS, MINERAÇÃO DE DADOS
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ABNT
VALEJO, Alan et al. Community detection in bipartite network: a modified coarsening approach. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-90596-9_9. Acesso em: 22 maio 2024. , 2018
APA
Valejo, A., Ferreira, V., Oliveira, M. C. F. de, & Lopes, A. de A. (2018). Community detection in bipartite network: a modified coarsening approach. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-319-90596-9_9
NLM
Valejo A, Ferreira V, Oliveira MCF de, Lopes A de A. Community detection in bipartite network: a modified coarsening approach [Internet]. Communications in Computer and Information Science. 2018 ; 795 123-136.[citado 2024 maio 22 ] Available from: https://doi.org/10.1007/978-3-319-90596-9_9
Vancouver
Valejo A, Ferreira V, Oliveira MCF de, Lopes A de A. Community detection in bipartite network: a modified coarsening approach [Internet]. Communications in Computer and Information Science. 2018 ; 795 123-136.[citado 2024 maio 22 ] Available from: https://doi.org/10.1007/978-3-319-90596-9_9
Artigo de periodico
Multilevel approach for combinatorial optimization in bipartite network (2018)
Valejo, Alan; Oliveira, Maria Cristina Ferreira de; Filho, Geraldo P. R; Lopes, Alneu de Andrade
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: REDES COMPLEXAS, OTIMIZAÇÃO COMBINATÓRIA, HEURÍSTICA
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ABNT
VALEJO, Alan et al. Multilevel approach for combinatorial optimization in bipartite network. Knowledge-Based Systems, v. 151, p. 45-61, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2018.03.021. Acesso em: 22 maio 2024.
APA
Valejo, A., Oliveira, M. C. F. de, Filho, G. P. R., & Lopes, A. de A. (2018). Multilevel approach for combinatorial optimization in bipartite network. Knowledge-Based Systems, 151, 45-61. doi:10.1016/j.knosys.2018.03.021
NLM
Valejo A, Oliveira MCF de, Filho GPR, Lopes A de A. Multilevel approach for combinatorial optimization in bipartite network [Internet]. Knowledge-Based Systems. 2018 ; 151 45-61.[citado 2024 maio 22 ] Available from: https://doi.org/10.1016/j.knosys.2018.03.021
Vancouver
Valejo A, Oliveira MCF de, Filho GPR, Lopes A de A. Multilevel approach for combinatorial optimization in bipartite network [Internet]. Knowledge-Based Systems. 2018 ; 151 45-61.[citado 2024 maio 22 ] Available from: https://doi.org/10.1016/j.knosys.2018.03.021
Trabalho de evento
Spatial and temporal identification of grouping structures of road accidents through homogeneous complex networks and measures of centrality (2018)
Chuerubim, Maria Lígia; Valejo, Alan; Silva, Irineu da
Source: Anais. Conference titles: Congresso Luso-brasileiro para o Planejamento Urbano, Regional, Integral e Sustentável - PLURIS 2018. Unidades: EESC, ICMC
Subjects: SEGURANÇA DE TRÁFEGO, ACIDENTES DE TRÂNSITO, REDES COMPLEXAS, ESPAÇO (GEOGRAFIA), TEMPO
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ABNT
CHUERUBIM, Maria Lígia e VALEJO, Alan e SILVA, Irineu da. Spatial and temporal identification of grouping structures of road accidents through homogeneous complex networks and measures of centrality. 2018, Anais.. Coimbra: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2018. Disponível em: https://repositorio.usp.br/directbitstream/e2a7f44c-85a3-449d-9472-b706ab053218/sysno3166720_%5BTrab%20ev%5D%20Chuerubim_Spatial%20and%20temporal%20%20identification%20%281%29.pdf. Acesso em: 22 maio 2024.
APA
Chuerubim, M. L., Valejo, A., & Silva, I. da. (2018). Spatial and temporal identification of grouping structures of road accidents through homogeneous complex networks and measures of centrality. In Anais. Coimbra: Escola de Engenharia de São Carlos, Universidade de São Paulo. Recuperado de https://repositorio.usp.br/directbitstream/e2a7f44c-85a3-449d-9472-b706ab053218/sysno3166720_%5BTrab%20ev%5D%20Chuerubim_Spatial%20and%20temporal%20%20identification%20%281%29.pdf
NLM
Chuerubim ML, Valejo A, Silva I da. Spatial and temporal identification of grouping structures of road accidents through homogeneous complex networks and measures of centrality [Internet]. Anais. 2018 ;[citado 2024 maio 22 ] Available from: https://repositorio.usp.br/directbitstream/e2a7f44c-85a3-449d-9472-b706ab053218/sysno3166720_%5BTrab%20ev%5D%20Chuerubim_Spatial%20and%20temporal%20%20identification%20%281%29.pdf
Vancouver
Chuerubim ML, Valejo A, Silva I da. Spatial and temporal identification of grouping structures of road accidents through homogeneous complex networks and measures of centrality [Internet]. Anais. 2018 ;[citado 2024 maio 22 ] Available from: https://repositorio.usp.br/directbitstream/e2a7f44c-85a3-449d-9472-b706ab053218/sysno3166720_%5BTrab%20ev%5D%20Chuerubim_Spatial%20and%20temporal%20%20identification%20%281%29.pdf
Artigo de periodico
RGCLI: robust graph that considers labeled instances for semi-supervised learning (2017)
Berton, Lilian; Faleiros, Thiago de Paulo; Valejo, Alan; Valverde-Rebaza, Jorge; Lopes, Alneu de Andrade
Source: Neurocomputing. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
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ABNT
BERTON, Lilian et al. RGCLI: robust graph that considers labeled instances for semi-supervised learning. Neurocomputing, v. 226, p. 238-248, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2016.11.053. Acesso em: 22 maio 2024.
APA
Berton, L., Faleiros, T. de P., Valejo, A., Valverde-Rebaza, J., & Lopes, A. de A. (2017). RGCLI: robust graph that considers labeled instances for semi-supervised learning. Neurocomputing, 226, 238-248. doi:10.1016/j.neucom.2016.11.053
NLM
Berton L, Faleiros T de P, Valejo A, Valverde-Rebaza J, Lopes A de A. RGCLI: robust graph that considers labeled instances for semi-supervised learning [Internet]. Neurocomputing. 2017 ; 226 238-248.[citado 2024 maio 22 ] Available from: https://doi.org/10.1016/j.neucom.2016.11.053
Vancouver
Berton L, Faleiros T de P, Valejo A, Valverde-Rebaza J, Lopes A de A. RGCLI: robust graph that considers labeled instances for semi-supervised learning [Internet]. Neurocomputing. 2017 ; 226 238-248.[citado 2024 maio 22 ] Available from: https://doi.org/10.1016/j.neucom.2016.11.053
Artigo de periodico
Enhancing intelligence in multimodal emotion assessments (2017)
Gonçalves, Vinícius P.; Costa, Eduardo P.; Valejo, Alan; Filho, Geraldo P. R.; Johnson, Thienne M.; Pessin, Gustavo; Ueyama, Jó
Source: Applied Intelligence. Unidade: ICMC
Subjects: SISTEMAS DISTRIBUÍDOS, PROGRAMAÇÃO CONCORRENTE
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ABNT
GONÇALVES, Vinícius P. et al. Enhancing intelligence in multimodal emotion assessments. Applied Intelligence, v. 46, n. 2, p. 470-486, 2017Tradução . . Disponível em: https://doi.org/10.1007/s10489-016-0842-7. Acesso em: 22 maio 2024.
APA
Gonçalves, V. P., Costa, E. P., Valejo, A., Filho, G. P. R., Johnson, T. M., Pessin, G., & Ueyama, J. (2017). Enhancing intelligence in multimodal emotion assessments. Applied Intelligence, 46( 2), 470-486. doi:10.1007/s10489-016-0842-7
NLM
Gonçalves VP, Costa EP, Valejo A, Filho GPR, Johnson TM, Pessin G, Ueyama J. Enhancing intelligence in multimodal emotion assessments [Internet]. Applied Intelligence. 2017 ; 46( 2): 470-486.[citado 2024 maio 22 ] Available from: https://doi.org/10.1007/s10489-016-0842-7
Vancouver
Gonçalves VP, Costa EP, Valejo A, Filho GPR, Johnson TM, Pessin G, Ueyama J. Enhancing intelligence in multimodal emotion assessments [Internet]. Applied Intelligence. 2017 ; 46( 2): 470-486.[citado 2024 maio 22 ] Available from: https://doi.org/10.1007/s10489-016-0842-7
Trabalho de evento
One-mode projection-based multilevel approach for community detection in bipartite networks (2017)
Valejo, Alan; Ferreira, Vinicius; Filho, Geraldo P. R; Oliveira, Maria Cristina Ferreira de; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: Annual International Symposium on Information Management and Big Data - SIMBig. Unidade: ICMC
Subjects: REDES COMPLEXAS, MINERAÇÃO DE DADOS, COMPUTAÇÃO GRÁFICA
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ABNT
VALEJO, Alan et al. One-mode projection-based multilevel approach for community detection in bipartite networks. 2017, Anais.. Aachen: CEUR-WS, 2017. Disponível em: http://ceur-ws.org/Vol-2029/paper8.pdf. Acesso em: 22 maio 2024.
APA
Valejo, A., Ferreira, V., Filho, G. P. R., Oliveira, M. C. F. de, & Lopes, A. de A. (2017). One-mode projection-based multilevel approach for community detection in bipartite networks. In Proceedings. Aachen: CEUR-WS. Recuperado de http://ceur-ws.org/Vol-2029/paper8.pdf
NLM
Valejo A, Ferreira V, Filho GPR, Oliveira MCF de, Lopes A de A. One-mode projection-based multilevel approach for community detection in bipartite networks [Internet]. Proceedings. 2017 ;[citado 2024 maio 22 ] Available from: http://ceur-ws.org/Vol-2029/paper8.pdf
Vancouver
Valejo A, Ferreira V, Filho GPR, Oliveira MCF de, Lopes A de A. One-mode projection-based multilevel approach for community detection in bipartite networks [Internet]. Proceedings. 2017 ;[citado 2024 maio 22 ] Available from: http://ceur-ws.org/Vol-2029/paper8.pdf
Trabalho de evento
A Naïve Bayes model based on overlapping groups for link prediction in online social networks (2015)
Valverde-Rebaza, Jorge; Valejo, Alan; Berton, Lilian; Faleiros, Thiago de Paulo; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS, PROCESSAMENTO DE LINGUAGEM NATURAL
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ABNT
VALVERDE-REBAZA, Jorge et al. A Naïve Bayes model based on overlapping groups for link prediction in online social networks. 2015, Anais.. New York: ACM, 2015. Disponível em: https://doi.org/10.1145/2695664.2695719. Acesso em: 22 maio 2024.
APA
Valverde-Rebaza, J., Valejo, A., Berton, L., Faleiros, T. de P., & Lopes, A. de A. (2015). A Naïve Bayes model based on overlapping groups for link prediction in online social networks. In Proceedings. New York: ACM. doi:10.1145/2695664.2695719
NLM
Valverde-Rebaza J, Valejo A, Berton L, Faleiros T de P, Lopes A de A. A Naïve Bayes model based on overlapping groups for link prediction in online social networks [Internet]. Proceedings. 2015 ;[citado 2024 maio 22 ] Available from: https://doi.org/10.1145/2695664.2695719
Vancouver
Valverde-Rebaza J, Valejo A, Berton L, Faleiros T de P, Lopes A de A. A Naïve Bayes model based on overlapping groups for link prediction in online social networks [Internet]. Proceedings. 2015 ;[citado 2024 maio 22 ] Available from: https://doi.org/10.1145/2695664.2695719
Trabalho de evento-anais periodico
Identification of related brazilian portuguese verb groups using overlapping community detection (2014)
Valejo, Alan; Drury, Brett; Valverde-Rebaza, Jorge; Lopes, Alneu de Andrade
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL
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ABNT
VALEJO, Alan et al. Identification of related brazilian portuguese verb groups using overlapping community detection. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-09761-9_35. Acesso em: 22 maio 2024. , 2014
APA
Valejo, A., Drury, B., Valverde-Rebaza, J., & Lopes, A. de A. (2014). Identification of related brazilian portuguese verb groups using overlapping community detection. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-319-09761-9_35
NLM
Valejo A, Drury B, Valverde-Rebaza J, Lopes A de A. Identification of related brazilian portuguese verb groups using overlapping community detection [Internet]. Lecture Notes in Artificial Intelligence. 2014 ; 8775 292-297.[citado 2024 maio 22 ] Available from: https://doi.org/10.1007/978-3-319-09761-9_35
Vancouver
Valejo A, Drury B, Valverde-Rebaza J, Lopes A de A. Identification of related brazilian portuguese verb groups using overlapping community detection [Internet]. Lecture Notes in Artificial Intelligence. 2014 ; 8775 292-297.[citado 2024 maio 22 ] Available from: https://doi.org/10.1007/978-3-319-09761-9_35
Trabalho de evento-anais periodico
An open source tool for crowd-sourcing the manual annotation of texts (2014)
Drury, Brett; Cardoso, Paula C. F; Valverde-Rebaza, Jorge; Valejo, Alan; Pereira, Fabio; Lopes, Alneu de Andrade
Source: Lecture Notes in Artificial Intelligence. Conference titles: International Conference on Computational Processing of the Portuguese Language - PROPOR. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DRURY, Brett et al. An open source tool for crowd-sourcing the manual annotation of texts. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-09761-9_31. Acesso em: 22 maio 2024. , 2014
APA
Drury, B., Cardoso, P. C. F., Valverde-Rebaza, J., Valejo, A., Pereira, F., & Lopes, A. de A. (2014). An open source tool for crowd-sourcing the manual annotation of texts. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-319-09761-9_31
NLM
Drury B, Cardoso PCF, Valverde-Rebaza J, Valejo A, Pereira F, Lopes A de A. An open source tool for crowd-sourcing the manual annotation of texts [Internet]. Lecture Notes in Artificial Intelligence. 2014 ; 8775 268-273.[citado 2024 maio 22 ] Available from: https://doi.org/10.1007/978-3-319-09761-9_31
Vancouver
Drury B, Cardoso PCF, Valverde-Rebaza J, Valejo A, Pereira F, Lopes A de A. An open source tool for crowd-sourcing the manual annotation of texts [Internet]. Lecture Notes in Artificial Intelligence. 2014 ; 8775 268-273.[citado 2024 maio 22 ] Available from: https://doi.org/10.1007/978-3-319-09761-9_31
Trabalho de evento
Multilevel refinement based on neighborhood similarity (2014)
Valejo, Alan; Valverde-Rebaza, Jorge; Drury, Brett; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: International Database Engineering & Applications Symposium - IDEAS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE PADRÕES, MINERAÇÃO DE DADOS, ALGORITMOS E ESTRUTURAS DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VALEJO, Alan et al. Multilevel refinement based on neighborhood similarity. 2014, Anais.. New York: ACM, 2014. Disponível em: https://doi.org/10.1145/2628194.2628227. Acesso em: 22 maio 2024.
APA
Valejo, A., Valverde-Rebaza, J., Drury, B., & Lopes, A. de A. (2014). Multilevel refinement based on neighborhood similarity. In Proceedings. New York: ACM. doi:10.1145/2628194.2628227
NLM
Valejo A, Valverde-Rebaza J, Drury B, Lopes A de A. Multilevel refinement based on neighborhood similarity [Internet]. Proceedings. 2014 ;[citado 2024 maio 22 ] Available from: https://doi.org/10.1145/2628194.2628227
Vancouver
Valejo A, Valverde-Rebaza J, Drury B, Lopes A de A. Multilevel refinement based on neighborhood similarity [Internet]. Proceedings. 2014 ;[citado 2024 maio 22 ] Available from: https://doi.org/10.1145/2628194.2628227
Trabalho de evento
A multilevel approach for overlapping community detection (2014)
Valejo, Alan; Valverde-Rebaza, Jorge; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VALEJO, Alan e VALVERDE-REBAZA, Jorge e LOPES, Alneu de Andrade. A multilevel approach for overlapping community detection. 2014, Anais.. Los Alamitos: Conference Publishing Services, 2014. Disponível em: https://doi.org/10.1109/BRACIS.2014.76. Acesso em: 22 maio 2024.
APA
Valejo, A., Valverde-Rebaza, J., & Lopes, A. de A. (2014). A multilevel approach for overlapping community detection. In Proceedings. Los Alamitos: Conference Publishing Services. doi:10.1109/BRACIS.2014.76
NLM
Valejo A, Valverde-Rebaza J, Lopes A de A. A multilevel approach for overlapping community detection [Internet]. Proceedings. 2014 ;[citado 2024 maio 22 ] Available from: https://doi.org/10.1109/BRACIS.2014.76
Vancouver
Valejo A, Valverde-Rebaza J, Lopes A de A. A multilevel approach for overlapping community detection [Internet]. Proceedings. 2014 ;[citado 2024 maio 22 ] Available from: https://doi.org/10.1109/BRACIS.2014.76

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