ReP USP - Resultado da busca

Artigo de periodico
Word sense disambiguation: a complex network approach (2018)
Corrêa Junior, Edilson A; Lopes, Alneu de Andrade ; Amancio, Diego Raphael
Source: Information Sciences. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDES COMPLEXAS, RECONHECIMENTO DE TEXTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORRÊA JUNIOR, Edilson A e LOPES, Alneu de Andrade e AMANCIO, Diego Raphael. Word sense disambiguation: a complex network approach. Information Sciences, v. 442-443, p. 103-113, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ins.2018.02.047. Acesso em: 03 maio 2024.
APA
Corrêa Junior, E. A., Lopes, A. de A., & Amancio, D. R. (2018). Word sense disambiguation: a complex network approach. Information Sciences, 442-443, 103-113. doi:10.1016/j.ins.2018.02.047
NLM
Corrêa Junior EA, Lopes A de A, Amancio DR. Word sense disambiguation: a complex network approach [Internet]. Information Sciences. 2018 ; 442-443 103-113.[citado 2024 maio 03 ] Available from: https://doi.org/10.1016/j.ins.2018.02.047
Vancouver
Corrêa Junior EA, Lopes A de A, Amancio DR. Word sense disambiguation: a complex network approach [Internet]. Information Sciences. 2018 ; 442-443 103-113.[citado 2024 maio 03 ] Available from: https://doi.org/10.1016/j.ins.2018.02.047
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: 03 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 03 ] 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 03 ] Available from: https://doi.org/10.1109/BRACIS.2018.00103
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 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 03 ] 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 03 ] Available from: https://doi.org/10.1007/978-3-319-90596-9_9
Trabalho de evento
POS-tags features for protein-protein interaction extraction from biomedical articles (2018)
Shiguihara-Juárez, Pedro; Murrugarra-Llerena, Nils; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: IEEE International Conference on Electronics, Electrical Engineering and Computing - INTERCON. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SHIGUIHARA-JUÁREZ, Pedro e MURRUGARRA-LLERENA, Nils e LOPES, Alneu de Andrade. POS-tags features for protein-protein interaction extraction from biomedical articles. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/INTERCON.2018.8526370. Acesso em: 03 maio 2024.
APA
Shiguihara-Juárez, P., Murrugarra-Llerena, N., & Lopes, A. de A. (2018). POS-tags features for protein-protein interaction extraction from biomedical articles. In Proceedings. Piscataway: IEEE. doi:10.1109/INTERCON.2018.8526370
NLM
Shiguihara-Juárez P, Murrugarra-Llerena N, Lopes A de A. POS-tags features for protein-protein interaction extraction from biomedical articles [Internet]. Proceedings. 2018 ;[citado 2024 maio 03 ] Available from: https://doi.org/10.1109/INTERCON.2018.8526370
Vancouver
Shiguihara-Juárez P, Murrugarra-Llerena N, Lopes A de A. POS-tags features for protein-protein interaction extraction from biomedical articles [Internet]. Proceedings. 2018 ;[citado 2024 maio 03 ] Available from: https://doi.org/10.1109/INTERCON.2018.8526370
Artigo de periodico
The role of location and social strength for friendship prediction in location-based social networks (2018)
Valverde-Rebaza, Jorge Carlos; Roche, Mathieu; Poncelet, Pascal; Lopes, Alneu de Andrade
Source: Information Processing & Management. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, MÍDIAS SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VALVERDE-REBAZA, Jorge Carlos et al. The role of location and social strength for friendship prediction in location-based social networks. Information Processing & Management, v. 54, n. 4, p. 475-489, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ipm.2018.02.004. Acesso em: 03 maio 2024.
APA
Valverde-Rebaza, J. C., Roche, M., Poncelet, P., & Lopes, A. de A. (2018). The role of location and social strength for friendship prediction in location-based social networks. Information Processing & Management, 54( 4), 475-489. doi:10.1016/j.ipm.2018.02.004
NLM
Valverde-Rebaza JC, Roche M, Poncelet P, Lopes A de A. The role of location and social strength for friendship prediction in location-based social networks [Internet]. Information Processing & Management. 2018 ; 54( 4): 475-489.[citado 2024 maio 03 ] Available from: https://doi.org/10.1016/j.ipm.2018.02.004
Vancouver
Valverde-Rebaza JC, Roche M, Poncelet P, Lopes A de A. The role of location and social strength for friendship prediction in location-based social networks [Internet]. Information Processing & Management. 2018 ; 54( 4): 475-489.[citado 2024 maio 03 ] Available from: https://doi.org/10.1016/j.ipm.2018.02.004
Trabalho de evento
A comparison of graph construction methods for semi-supervised learning (2018)
Berton, Lilian; Lopes, Alneu de Andrade ; Vega-Oliveros, Didier Augusto
Source: Proceedings. Conference titles: International Joint Conference on Neural Networks - IJCNN. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES COMPLEXAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTON, Lilian e LOPES, Alneu de Andrade e VEGA-OLIVEROS, Didier Augusto. A comparison of graph construction methods for semi-supervised learning. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/IJCNN.2018.8489524. Acesso em: 03 maio 2024.
APA
Berton, L., Lopes, A. de A., & Vega-Oliveros, D. A. (2018). A comparison of graph construction methods for semi-supervised learning. In Proceedings. Piscataway: IEEE. doi:10.1109/IJCNN.2018.8489524
NLM
Berton L, Lopes A de A, Vega-Oliveros DA. A comparison of graph construction methods for semi-supervised learning [Internet]. Proceedings. 2018 ;[citado 2024 maio 03 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489524
Vancouver
Berton L, Lopes A de A, Vega-Oliveros DA. A comparison of graph construction methods for semi-supervised learning [Internet]. Proceedings. 2018 ;[citado 2024 maio 03 ] Available from: https://doi.org/10.1109/IJCNN.2018.8489524
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 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 03 ] 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 03 ] Available from: https://doi.org/10.1016/j.knosys.2018.03.021
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 maio 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 maio 03 ] 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 maio 03 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 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 03 ] 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 03 ] Available from: https://doi.org/10.1016/j.neucom.2016.11.053
Trabalho de evento
Approaches based on tree-structures classifiers to protein fold prediction (2017)
Shiguihara-Juárez, Pedro; Mauricio-Sánchez, David; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: IEEE International Congress on Electronics, Electrical Engineering and Computing - INTERCON. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, BENCHMARKS, PROTEÍNAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SHIGUIHARA-JUÁREZ, Pedro e MAURICIO-SÁNCHEZ, David e LOPES, Alneu de Andrade. Approaches based on tree-structures classifiers to protein fold prediction. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/INTERCON.2017.8079723. Acesso em: 03 maio 2024.
APA
Shiguihara-Juárez, P., Mauricio-Sánchez, D., & Lopes, A. de A. (2017). Approaches based on tree-structures classifiers to protein fold prediction. In Proceedings. Piscataway: IEEE. doi:10.1109/INTERCON.2017.8079723
NLM
Shiguihara-Juárez P, Mauricio-Sánchez D, Lopes A de A. Approaches based on tree-structures classifiers to protein fold prediction [Internet]. Proceedings. 2017 ;[citado 2024 maio 03 ] Available from: https://doi.org/10.1109/INTERCON.2017.8079723
Vancouver
Shiguihara-Juárez P, Mauricio-Sánchez D, Lopes A de A. Approaches based on tree-structures classifiers to protein fold prediction [Internet]. Proceedings. 2017 ;[citado 2024 maio 03 ] Available from: https://doi.org/10.1109/INTERCON.2017.8079723
Trabalho de evento
Reconstructing uncertain pedestrian trajectories from low-sampling-rate observations (2017)
Puma-Alvarez, Ricardo Miguel; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: Annual International Symposium on Information Management and Big Data - SIMBig. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, COMPUTAÇÃO GRÁFICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PUMA-ALVAREZ, Ricardo Miguel e LOPES, Alneu de Andrade. Reconstructing uncertain pedestrian trajectories from low-sampling-rate observations. 2017, Anais.. Aachen: CEUR-WS, 2017. Disponível em: http://ceur-ws.org/Vol-2029/paper15.pdf. Acesso em: 03 maio 2024.
APA
Puma-Alvarez, R. M., & Lopes, A. de A. (2017). Reconstructing uncertain pedestrian trajectories from low-sampling-rate observations. In Proceedings. Aachen: CEUR-WS. Recuperado de http://ceur-ws.org/Vol-2029/paper15.pdf
NLM
Puma-Alvarez RM, Lopes A de A. Reconstructing uncertain pedestrian trajectories from low-sampling-rate observations [Internet]. Proceedings. 2017 ;[citado 2024 maio 03 ] Available from: http://ceur-ws.org/Vol-2029/paper15.pdf
Vancouver
Puma-Alvarez RM, Lopes A de A. Reconstructing uncertain pedestrian trajectories from low-sampling-rate observations [Internet]. Proceedings. 2017 ;[citado 2024 maio 03 ] Available from: http://ceur-ws.org/Vol-2029/paper15.pdf
Artigo de periodico
A survey of the applications of Bayesian networks in agriculture (2017)
Drury, Brett; Valverde-Rebaza, Jorge; Moura, Maria Fernanda; Lopes, Alneu de Andrade
Source: Engineering Applications of Artificial Intelligence. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, COMPUTAÇÃO APLICADA, INFERÊNCIA BAYESIANA, AGRICULTURA DE PRECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DRURY, Brett et al. A survey of the applications of Bayesian networks in agriculture. Engineering Applications of Artificial Intelligence, v. 65, p. 29-42, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.engappai.2017.07.003. Acesso em: 03 maio 2024.
APA
Drury, B., Valverde-Rebaza, J., Moura, M. F., & Lopes, A. de A. (2017). A survey of the applications of Bayesian networks in agriculture. Engineering Applications of Artificial Intelligence, 65, 29-42. doi:10.1016/j.engappai.2017.07.003
NLM
Drury B, Valverde-Rebaza J, Moura MF, Lopes A de A. A survey of the applications of Bayesian networks in agriculture [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 65 29-42.[citado 2024 maio 03 ] Available from: https://doi.org/10.1016/j.engappai.2017.07.003
Vancouver
Drury B, Valverde-Rebaza J, Moura MF, Lopes A de A. A survey of the applications of Bayesian networks in agriculture [Internet]. Engineering Applications of Artificial Intelligence. 2017 ; 65 29-42.[citado 2024 maio 03 ] Available from: https://doi.org/10.1016/j.engappai.2017.07.003
Trabalho de evento-anais periodico
Network sampling based on centrality measures for relational classification (2017)
Berton, Lilian; Vega-Oliveros, Didier A; Valverde-Rebaza, Jorge; Silva, André Tavares da; 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, RECONHECIMENTO DE PADRÕES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BERTON, Lilian et al. Network sampling based on centrality measures for relational classification. Communications in Computer and Information Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-55209-5_4. Acesso em: 03 maio 2024. , 2017
APA
Berton, L., Vega-Oliveros, D. A., Valverde-Rebaza, J., Silva, A. T. da, & Lopes, A. de A. (2017). Network sampling based on centrality measures for relational classification. Communications in Computer and Information Science. Cham: Springer. doi:10.1007/978-3-319-55209-5_4
NLM
Berton L, Vega-Oliveros DA, Valverde-Rebaza J, Silva AT da, Lopes A de A. Network sampling based on centrality measures for relational classification [Internet]. Communications in Computer and Information Science. 2017 ; 656 43-56.[citado 2024 maio 03 ] Available from: https://doi.org/10.1007/978-3-319-55209-5_4
Vancouver
Berton L, Vega-Oliveros DA, Valverde-Rebaza J, Silva AT da, Lopes A de A. Network sampling based on centrality measures for relational classification [Internet]. Communications in Computer and Information Science. 2017 ; 656 43-56.[citado 2024 maio 03 ] Available from: https://doi.org/10.1007/978-3-319-55209-5_4
Artigo de periodico
Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization (2017)
Rossi, Rafael Geraldeli; Lopes, Alneu de Andrade ; Rezende, Solange Oliveira
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROSSI, Rafael Geraldeli e LOPES, Alneu de Andrade e REZENDE, Solange Oliveira. Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization. Knowledge-Based Systems, v. 132, p. Se 2017, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2017.06.016. Acesso em: 03 maio 2024.
APA
Rossi, R. G., Lopes, A. de A., & Rezende, S. O. (2017). Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization. Knowledge-Based Systems, 132, Se 2017. doi:10.1016/j.knosys.2017.06.016
NLM
Rossi RG, Lopes A de A, Rezende SO. Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization [Internet]. Knowledge-Based Systems. 2017 ; 132 Se 2017.[citado 2024 maio 03 ] Available from: https://doi.org/10.1016/j.knosys.2017.06.016
Vancouver
Rossi RG, Lopes A de A, Rezende SO. Using bipartite heterogeneous networks to speed up inductive semi-supervised learning and improve automatic text categorization [Internet]. Knowledge-Based Systems. 2017 ; 132 Se 2017.[citado 2024 maio 03 ] Available from: https://doi.org/10.1016/j.knosys.2017.06.016
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 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 03 ] 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 03 ] Available from: http://ceur-ws.org/Vol-2029/paper8.pdf
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 maio 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 maio 03 ] 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 maio 03 ] Available from: http://urlib.net/8JMKD3MGPAW/3M9H4AE
Trabalho de evento
Exploiting social and mobility patterns for friendship prediction in location-based social networks (2016)
Valverde-Rebaza, Jorge; Roche, Mathieu; Poncelet, Pascal; Lopes, Alneu de Andrade
Source: Proceedings. Conference titles: International Conference on Pattern Recognition - ICPR. Unidade: ICMC
Subjects: RECONHECIMENTO DE PADRÕES, REDES SOCIAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VALVERDE-REBAZA, Jorge et al. Exploiting social and mobility patterns for friendship prediction in location-based social networks. 2016, Anais.. Los Alamitos: IEEE, 2016. Disponível em: https://doi.org/10.1109/ICPR.2016.7900016. Acesso em: 03 maio 2024.
APA
Valverde-Rebaza, J., Roche, M., Poncelet, P., & Lopes, A. de A. (2016). Exploiting social and mobility patterns for friendship prediction in location-based social networks. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICPR.2016.7900016
NLM
Valverde-Rebaza J, Roche M, Poncelet P, Lopes A de A. Exploiting social and mobility patterns for friendship prediction in location-based social networks [Internet]. Proceedings. 2016 ;[citado 2024 maio 03 ] Available from: https://doi.org/10.1109/ICPR.2016.7900016
Vancouver
Valverde-Rebaza J, Roche M, Poncelet P, Lopes A de A. Exploiting social and mobility patterns for friendship prediction in location-based social networks [Internet]. Proceedings. 2016 ;[citado 2024 maio 03 ] Available from: https://doi.org/10.1109/ICPR.2016.7900016
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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: 03 maio 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 maio 03 ] 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 maio 03 ] 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
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. 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: 03 maio 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 maio 03 ] 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 maio 03 ] 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 03 maio 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 maio 03 ] 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 maio 03 ] Available from: https://doi.org/10.1145/2911172.2911176

USP Schools

ReP

Filtros

Document Types

USP Schools

Departament

Authors

USP affiliated authors

Date published

Subjects

Source title

Publisher

Conference titles

Countries/Territories

Funding Agencies

Indexado em

Normalized affiliation

Non normalized affiliation

Countries of institutions of collaboration