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Mestrado Profissionalizante
Redes Bayesianas aplicada à predição de vendas em uma grande rede de fast-food brasileira (2019)
Silva, Robson Fernandes da; Lopes, Alneu de Andrade (Orientador)
Unidade: ICMC
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, INTELIGÊNCIA ARTIFICIAL, INFERÊNCIA BAYESIANA, MODELOS PARA PROCESSOS ESTOCÁSTICOS
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ABNT
SILVA, Robson Fernandes da. Redes Bayesianas aplicada à predição de vendas em uma grande rede de fast-food brasileira. 2019. Mestrado Profissionalizante – Universidade de São Paulo, São Carlos, 2019. Disponível em: http://www.teses.usp.br/teses/disponiveis/55/55137/tde-21082019-112654/. Acesso em: 05 nov. 2024.
APA
Silva, R. F. da. (2019). Redes Bayesianas aplicada à predição de vendas em uma grande rede de fast-food brasileira (Mestrado Profissionalizante). Universidade de São Paulo, São Carlos. Recuperado de http://www.teses.usp.br/teses/disponiveis/55/55137/tde-21082019-112654/
NLM
Silva RF da. Redes Bayesianas aplicada à predição de vendas em uma grande rede de fast-food brasileira [Internet]. 2019 ;[citado 2024 nov. 05 ] Available from: http://www.teses.usp.br/teses/disponiveis/55/55137/tde-21082019-112654/
Vancouver
Silva RF da. Redes Bayesianas aplicada à predição de vendas em uma grande rede de fast-food brasileira [Internet]. 2019 ;[citado 2024 nov. 05 ] Available from: http://www.teses.usp.br/teses/disponiveis/55/55137/tde-21082019-112654/
Artigo de periodico
Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs (2017)
Faleiros, Thiago de Paulo; Rossi, Rafael Geraldeli; Lopes, Alneu de Andrade
Source: Pattern Recognition Letters. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS
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ABNT
FALEIROS, Thiago de Paulo e ROSSI, Rafael Geraldeli e LOPES, Alneu de Andrade. Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs. Pattern Recognition Letters, v. 87, p. 127-138, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2016.04.006. Acesso em: 05 nov. 2024.
APA
Faleiros, T. de P., Rossi, R. G., & Lopes, A. de A. (2017). Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs. Pattern Recognition Letters, 87, 127-138. doi:10.1016/j.patrec.2016.04.006
NLM
Faleiros T de P, Rossi RG, Lopes A de A. Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs [Internet]. Pattern Recognition Letters. 2017 ; 87 127-138.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.patrec.2016.04.006
Vancouver
Faleiros T de P, Rossi RG, Lopes A de A. Optimizing the class information divergence for transductive classification of texts using propagation in bipartite graphs [Internet]. Pattern Recognition Letters. 2017 ; 87 127-138.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.patrec.2016.04.006
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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2016.11.053
Trabalho de evento
Network construction and applications for semi-supervised learning (2016)
Berton, Lilian; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
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ABNT
BERTON, Lilian e LOPES, Alneu de Andrade. Network construction and applications for semi-supervised learning. 2016, Anais.. Porto Alegre: SBC, 2016. Disponível em: http://urlib.net/8JMKD3MGPAW/3M9H4AE. Acesso em: 05 nov. 2024.
APA
Berton, L., & Lopes, A. de A. (2016). Network construction and applications for semi-supervised learning. In Proceedings. Porto Alegre: SBC. Recuperado de http://urlib.net/8JMKD3MGPAW/3M9H4AE
NLM
Berton L, Lopes A de A. Network construction and applications for semi-supervised learning [Internet]. Proceedings. 2016 ;[citado 2024 nov. 05 ] Available from: http://urlib.net/8JMKD3MGPAW/3M9H4AE
Vancouver
Berton L, Lopes A de A. Network construction and applications for semi-supervised learning [Internet]. Proceedings. 2016 ;[citado 2024 nov. 05 ] Available from: http://urlib.net/8JMKD3MGPAW/3M9H4AE
Trabalho de evento
The impact of network sampling on relational classification (2016)
Berton, Lilian; Vega-Oliveros, Didier A; Valverde-Rebaza, Jorge; Silva, André Tavares da; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: Annual International Symposium on Information Management and Big Data - SIMBig. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, REDES COMPLEXAS
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BERTON, Lilian et al. The impact of network sampling on relational classification. 2016, Anais.. Aachen: CEUR-WS, 2016. Disponível em: http://ceur-ws.org/Vol-1743/paper7.pdf. Acesso em: 05 nov. 2024.
APA
Berton, L., Vega-Oliveros, D. A., Valverde-Rebaza, J., Silva, A. T. da, & Lopes, A. de A. (2016). The impact of network sampling on relational classification. In Proceedings. Aachen: CEUR-WS. Recuperado de http://ceur-ws.org/Vol-1743/paper7.pdf
NLM
Berton L, Vega-Oliveros DA, Valverde-Rebaza J, Silva AT da, Lopes A de A. The impact of network sampling on relational classification [Internet]. Proceedings. 2016 ;[citado 2024 nov. 05 ] Available from: http://ceur-ws.org/Vol-1743/paper7.pdf
Vancouver
Berton L, Vega-Oliveros DA, Valverde-Rebaza J, Silva AT da, Lopes A de A. The impact of network sampling on relational classification [Internet]. Proceedings. 2016 ;[citado 2024 nov. 05 ] Available from: http://ceur-ws.org/Vol-1743/paper7.pdf
Relatorio tecnico
Modelos probabilísticos de tópicos: desvendando o latent Dirichlet allocation (2016)
Faleiros, Thiago de Paulo; Lopes, Alneu de Andrade
Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, PROCESSAMENTO DE LINGUAGEM NATURAL, MODELOS PARA PROCESSOS ESTOCÁSTICOS
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ABNT
FALEIROS, Thiago de Paulo e LOPES, Alneu de Andrade. Modelos probabilísticos de tópicos: desvendando o latent Dirichlet allocation. . São Carlos: ICMC-USP. Disponível em: https://repositorio.usp.br/directbitstream/e242c7d2-a233-4c48-81b8-1bbcfbc7ff4e/Relat%C3%B3rios%20T%C3%A9cnicos_409_2016.pdf. Acesso em: 05 nov. 2024. , 2016
APA
Faleiros, T. de P., & Lopes, A. de A. (2016). Modelos probabilísticos de tópicos: desvendando o latent Dirichlet allocation. São Carlos: ICMC-USP. Recuperado de https://repositorio.usp.br/directbitstream/e242c7d2-a233-4c48-81b8-1bbcfbc7ff4e/Relat%C3%B3rios%20T%C3%A9cnicos_409_2016.pdf
NLM
Faleiros T de P, Lopes A de A. Modelos probabilísticos de tópicos: desvendando o latent Dirichlet allocation [Internet]. 2016 ;[citado 2024 nov. 05 ] Available from: https://repositorio.usp.br/directbitstream/e242c7d2-a233-4c48-81b8-1bbcfbc7ff4e/Relat%C3%B3rios%20T%C3%A9cnicos_409_2016.pdf
Vancouver
Faleiros T de P, Lopes A de A. Modelos probabilísticos de tópicos: desvendando o latent Dirichlet allocation [Internet]. 2016 ;[citado 2024 nov. 05 ] Available from: https://repositorio.usp.br/directbitstream/e242c7d2-a233-4c48-81b8-1bbcfbc7ff4e/Relat%C3%B3rios%20T%C3%A9cnicos_409_2016.pdf
Artigo de periodico
Neighborhood graph construction for semi-supervised learning (2016)
Berton, Lilian; Lopes, Alneu de Andrade
Source: AI Matters. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
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ABNT
BERTON, Lilian e LOPES, Alneu de Andrade. Neighborhood graph construction for semi-supervised learning. AI Matters, v. 2, n. 3, p. 14-15, 2016Tradução . . Disponível em: https://doi.org/10.1145/2911172.2911176. Acesso em: 05 nov. 2024.
APA
Berton, L., & Lopes, A. de A. (2016). Neighborhood graph construction for semi-supervised learning. AI Matters, 2( 3), 14-15. doi:10.1145/2911172.2911176
NLM
Berton L, Lopes A de A. Neighborhood graph construction for semi-supervised learning [Internet]. AI Matters. 2016 ; 2( 3): 14-15.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1145/2911172.2911176
Vancouver
Berton L, Lopes A de A. Neighborhood graph construction for semi-supervised learning [Internet]. AI Matters. 2016 ; 2( 3): 14-15.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1145/2911172.2911176
Artigo de periodico
Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts (2016)
Rossi, Rafael Geraldeli; Lopes, Alneu de Andrade ; Rezende, Solange Oliveira
Source: Information Processing and Management. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO
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ABNT
ROSSI, Rafael Geraldeli e LOPES, Alneu de Andrade e REZENDE, Solange Oliveira. Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts. Information Processing and Management, v. 52, n. 2, p. 217-257, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ipm.2015.07.004. Acesso em: 05 nov. 2024.
APA
Rossi, R. G., Lopes, A. de A., & Rezende, S. O. (2016). Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts. Information Processing and Management, 52( 2), 217-257. doi:10.1016/j.ipm.2015.07.004
NLM
Rossi RG, Lopes A de A, Rezende SO. Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts [Internet]. Information Processing and Management. 2016 ; 52( 2): 217-257.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.ipm.2015.07.004
Vancouver
Rossi RG, Lopes A de A, Rezende SO. Optimization and label propagation in bipartite heterogeneous networks to improve transductive classification of texts [Internet]. Information Processing and Management. 2016 ; 52( 2): 217-257.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.ipm.2015.07.004
Trabalho de evento
The extraction from news stories a causal topic centred bayesian graph for sugarcane (2016)
Drury, Brett; Rocha, Conceição; Moura, Maria Fernanda; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: International Database Engineering & Applications Symposium - IDEAS. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS, CANA-DE-AÇÚCAR
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ABNT
DRURY, Brett et al. The extraction from news stories a causal topic centred bayesian graph for sugarcane. 2016, Anais.. New York: ACM, 2016. Disponível em: https://doi.org/10.1145/2938503.2938521. Acesso em: 05 nov. 2024.
APA
Drury, B., Rocha, C., Moura, M. F., & Lopes, A. de A. (2016). The extraction from news stories a causal topic centred bayesian graph for sugarcane. In Proceedings. New York: ACM. doi:10.1145/2938503.2938521
NLM
Drury B, Rocha C, Moura MF, Lopes A de A. The extraction from news stories a causal topic centred bayesian graph for sugarcane [Internet]. Proceedings. 2016 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1145/2938503.2938521
Vancouver
Drury B, Rocha C, Moura MF, Lopes A de A. The extraction from news stories a causal topic centred bayesian graph for sugarcane [Internet]. Proceedings. 2016 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1145/2938503.2938521
Trabalho de evento
On the equivalence between algorithms for non-negative matrix factorization and latent Dirichlet allocation (2016)
Faleiros, Thiago de Paulo; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - ESANN. 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
FALEIROS, Thiago de Paulo e LOPES, Alneu de Andrade. On the equivalence between algorithms for non-negative matrix factorization and latent Dirichlet allocation. 2016, Anais.. Bruges: ESANN, 2016. Disponível em: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2016-162.pdf. Acesso em: 05 nov. 2024.
APA
Faleiros, T. de P., & Lopes, A. de A. (2016). On the equivalence between algorithms for non-negative matrix factorization and latent Dirichlet allocation. In Proceedings. Bruges: ESANN. Recuperado de https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2016-162.pdf
NLM
Faleiros T de P, Lopes A de A. On the equivalence between algorithms for non-negative matrix factorization and latent Dirichlet allocation [Internet]. Proceedings. 2016 ;[citado 2024 nov. 05 ] Available from: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2016-162.pdf
Vancouver
Faleiros T de P, Lopes A de A. On the equivalence between algorithms for non-negative matrix factorization and latent Dirichlet allocation [Internet]. Proceedings. 2016 ;[citado 2024 nov. 05 ] Available from: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2016-162.pdf
Trabalho de evento
Causation generalization through the identification of equivalent nodes in causal sparse graphs constructed from text using node similarity strategies (2015)
Drury, Brett; Valverde-Rebaza, Jorge; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: Annual International Symposium on Information Management and Big Data - SIMBig. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
DRURY, Brett e VALVERDE-REBAZA, Jorge e LOPES, Alneu de Andrade. Causation generalization through the identification of equivalent nodes in causal sparse graphs constructed from text using node similarity strategies. 2015, Anais.. Aachen: CEUR-WS, 2015. Disponível em: http://ceur-ws.org/Vol-1478/paper6.pdf. Acesso em: 05 nov. 2024.
APA
Drury, B., Valverde-Rebaza, J., & Lopes, A. de A. (2015). Causation generalization through the identification of equivalent nodes in causal sparse graphs constructed from text using node similarity strategies. In Proceedings. Aachen: CEUR-WS. Recuperado de http://ceur-ws.org/Vol-1478/paper6.pdf
NLM
Drury B, Valverde-Rebaza J, Lopes A de A. Causation generalization through the identification of equivalent nodes in causal sparse graphs constructed from text using node similarity strategies [Internet]. Proceedings. 2015 ;[citado 2024 nov. 05 ] Available from: http://ceur-ws.org/Vol-1478/paper6.pdf
Vancouver
Drury B, Valverde-Rebaza J, Lopes A de A. Causation generalization through the identification of equivalent nodes in causal sparse graphs constructed from text using node similarity strategies [Internet]. Proceedings. 2015 ;[citado 2024 nov. 05 ] Available from: http://ceur-ws.org/Vol-1478/paper6.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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1145/2695664.2695719
Trabalho de evento
Graph construction for semi-supervised learning (2015)
Berton, Lilian; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: International Joint Conference on Artificial Intelligence - IJCAI. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTON, Lilian e LOPES, Alneu de Andrade. Graph construction for semi-supervised learning. 2015, Anais.. Palo Alto: AAAI Press, 2015. Disponível em: http://ijcai.org/papers15/Papers/IJCAI15-619.pdf. Acesso em: 05 nov. 2024.
APA
Berton, L., & Lopes, A. de A. (2015). Graph construction for semi-supervised learning. In Proceedings. Palo Alto: AAAI Press. Recuperado de http://ijcai.org/papers15/Papers/IJCAI15-619.pdf
NLM
Berton L, Lopes A de A. Graph construction for semi-supervised learning [Internet]. Proceedings. 2015 ;[citado 2024 nov. 05 ] Available from: http://ijcai.org/papers15/Papers/IJCAI15-619.pdf
Vancouver
Berton L, Lopes A de A. Graph construction for semi-supervised learning [Internet]. Proceedings. 2015 ;[citado 2024 nov. 05 ] Available from: http://ijcai.org/papers15/Papers/IJCAI15-619.pdf
Trabalho de evento
Link prediction in graph construction for supervised and semi-supervised learning (2015)
Berton, Lilian; Valverde-Rebaza, Jorge; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: International Joint Conference on Neural Network - IJCNN. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTON, Lilian e VALVERDE-REBAZA, Jorge e LOPES, Alneu de Andrade. Link prediction in graph construction for supervised and semi-supervised learning. 2015, Anais.. Piscataway: IEEE, 2015. Disponível em: https://doi.org/10.1109/IJCNN.2015.7280543. Acesso em: 05 nov. 2024.
APA
Berton, L., Valverde-Rebaza, J., & Lopes, A. de A. (2015). Link prediction in graph construction for supervised and semi-supervised learning. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2015.7280543
NLM
Berton L, Valverde-Rebaza J, Lopes A de A. Link prediction in graph construction for supervised and semi-supervised learning [Internet]. Proceedings. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/IJCNN.2015.7280543
Vancouver
Berton L, Valverde-Rebaza J, Lopes A de A. Link prediction in graph construction for supervised and semi-supervised learning [Internet]. Proceedings. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1109/IJCNN.2015.7280543
Trabalho de evento
Bipartite graph for topic extraction (2015)
Faleiros, Thiago de Paulo; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: International Joint Conference on Artificial Intelligence - IJCAI. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FALEIROS, Thiago de Paulo e LOPES, Alneu de Andrade. Bipartite graph for topic extraction. 2015, Anais.. Palo Alto: AAAI Press, 2015. Disponível em: http://ijcai.org/papers15/Papers/IJCAI15-629.pdf. Acesso em: 05 nov. 2024.
APA
Faleiros, T. de P., & Lopes, A. de A. (2015). Bipartite graph for topic extraction. In Proceedings. Palo Alto: AAAI Press. Recuperado de http://ijcai.org/papers15/Papers/IJCAI15-629.pdf
NLM
Faleiros T de P, Lopes A de A. Bipartite graph for topic extraction [Internet]. Proceedings. 2015 ;[citado 2024 nov. 05 ] Available from: http://ijcai.org/papers15/Papers/IJCAI15-629.pdf
Vancouver
Faleiros T de P, Lopes A de A. Bipartite graph for topic extraction [Internet]. Proceedings. 2015 ;[citado 2024 nov. 05 ] Available from: http://ijcai.org/papers15/Papers/IJCAI15-629.pdf
Artigo de periodico
The identification of indicators of sentiment using a multi-view self-training algorithm (2015)
Drury, Brett; Lopes, Alneu de Andrade
Source: OSLa : Oslo Studies in Language. 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 e LOPES, Alneu de Andrade. The identification of indicators of sentiment using a multi-view self-training algorithm. OSLa : Oslo Studies in Language, v. 7, n. 1, p. 379-395, 2015Tradução . . Disponível em: https://www.journals.uio.no/index.php/osla/article/view/1446. Acesso em: 05 nov. 2024.
APA
Drury, B., & Lopes, A. de A. (2015). The identification of indicators of sentiment using a multi-view self-training algorithm. OSLa : Oslo Studies in Language, 7( 1), 379-395. Recuperado de https://www.journals.uio.no/index.php/osla/article/view/1446
NLM
Drury B, Lopes A de A. The identification of indicators of sentiment using a multi-view self-training algorithm [Internet]. OSLa : Oslo Studies in Language. 2015 ; 7( 1): 379-395.[citado 2024 nov. 05 ] Available from: https://www.journals.uio.no/index.php/osla/article/view/1446
Vancouver
Drury B, Lopes A de A. The identification of indicators of sentiment using a multi-view self-training algorithm [Internet]. OSLa : Oslo Studies in Language. 2015 ; 7( 1): 379-395.[citado 2024 nov. 05 ] Available from: https://www.journals.uio.no/index.php/osla/article/view/1446
Trabalho de evento
Influence maximization based on the least influential spreaders (2015)
Vega-Oliveros, Didier A; Berton, Lilian; Lopes, Alneu de Andrade ; Rodrigues, Francisco Aparecido
Source: Proceedings. Conference titles: International Joint Conferences on Artificial Intelligence. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ESTATÍSTICA APLICADA, PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VEGA-OLIVEROS, Didier A et al. Influence maximization based on the least influential spreaders. 2015, Anais.. Aachen: CEUR-WS, 2015. Disponível em: http://ceur-ws.org/Vol-1398/SocInf2015_Paper1.pdf. Acesso em: 05 nov. 2024.
APA
Vega-Oliveros, D. A., Berton, L., Lopes, A. de A., & Rodrigues, F. A. (2015). Influence maximization based on the least influential spreaders. In Proceedings. Aachen: CEUR-WS. Recuperado de http://ceur-ws.org/Vol-1398/SocInf2015_Paper1.pdf
NLM
Vega-Oliveros DA, Berton L, Lopes A de A, Rodrigues FA. Influence maximization based on the least influential spreaders [Internet]. Proceedings. 2015 ;[citado 2024 nov. 05 ] Available from: http://ceur-ws.org/Vol-1398/SocInf2015_Paper1.pdf
Vancouver
Vega-Oliveros DA, Berton L, Lopes A de A, Rodrigues FA. Influence maximization based on the least influential spreaders [Internet]. Proceedings. 2015 ;[citado 2024 nov. 05 ] Available from: http://ceur-ws.org/Vol-1398/SocInf2015_Paper1.pdf
Trabalho de evento-anais periodico
Term network approach for transductive classification (2015)
Rossi, Rafael Geraldeli; Rezende, Solange Oliveira ; Lopes, Alneu de Andrade
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Computational Linguistics and Intelligent Text Processing - CICLing. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, ANÁLISE DE TEXTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSSI, Rafael Geraldeli e REZENDE, Solange Oliveira e LOPES, Alneu de Andrade. Term network approach for transductive classification. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-18117-2_37. Acesso em: 05 nov. 2024. , 2015
APA
Rossi, R. G., Rezende, S. O., & Lopes, A. de A. (2015). Term network approach for transductive classification. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-18117-2_37
NLM
Rossi RG, Rezende SO, Lopes A de A. Term network approach for transductive classification [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-18117-2_37
Vancouver
Rossi RG, Rezende SO, Lopes A de A. Term network approach for transductive classification [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2024 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-18117-2_37
Artigo de periodico
Graph-based measures to assist user assessment of multidimensional projections (2015)
Motta, Robson; Minghim, Rosane ; Lopes, Alneu de Andrade ; Oliveira, Maria Cristina Ferreira de
Source: Neurocomputing. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTTA, Robson et al. Graph-based measures to assist user assessment of multidimensional projections. Neurocomputing, v. fe 2015, p. 583-598, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.09.063. Acesso em: 05 nov. 2024.
APA
Motta, R., Minghim, R., Lopes, A. de A., & Oliveira, M. C. F. de. (2015). Graph-based measures to assist user assessment of multidimensional projections. Neurocomputing, fe 2015, 583-598. doi:10.1016/j.neucom.2014.09.063
NLM
Motta R, Minghim R, Lopes A de A, Oliveira MCF de. Graph-based measures to assist user assessment of multidimensional projections [Internet]. Neurocomputing. 2015 ; fe 2015 583-598.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2014.09.063
Vancouver
Motta R, Minghim R, Lopes A de A, Oliveira MCF de. Graph-based measures to assist user assessment of multidimensional projections [Internet]. Neurocomputing. 2015 ; fe 2015 583-598.[citado 2024 nov. 05 ] Available from: https://doi.org/10.1016/j.neucom.2014.09.063
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 05 nov. 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 nov. 05 ] 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 nov. 05 ] Available from: https://doi.org/10.1007/978-3-319-09761-9_35

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