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Artigo de periodico
Articulações metropolitanas, políticas municipais: desafios e avanços do planejamento territorial na Região Metropolitana de Curitiba (Brasil) (2020)
Carmo, Julio; Moreira, Tomas Antonio
Source: Revista Latinoamericana de Estudios Urbano Regionales - EURE. Unidade: IAU
Subjects: ÁREAS METROPOLITANAS, PLANEJAMENTO TERRITORIAL URBANO
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ABNT
CARMO, Julio e MOREIRA, Tomas Antonio. Articulações metropolitanas, políticas municipais: desafios e avanços do planejamento territorial na Região Metropolitana de Curitiba (Brasil). Revista Latinoamericana de Estudios Urbano Regionales - EURE, v. 46, n. 139, p. 29-45, 2020Tradução . . Disponível em: https://doi.org/10.4067/S0250-71612020000300029. Acesso em: 11 out. 2024.
APA
Carmo, J., & Moreira, T. A. (2020). Articulações metropolitanas, políticas municipais: desafios e avanços do planejamento territorial na Região Metropolitana de Curitiba (Brasil). Revista Latinoamericana de Estudios Urbano Regionales - EURE, 46( 139), 29-45. doi:10.4067/S0250-71612020000300029
NLM
Carmo J, Moreira TA. Articulações metropolitanas, políticas municipais: desafios e avanços do planejamento territorial na Região Metropolitana de Curitiba (Brasil) [Internet]. Revista Latinoamericana de Estudios Urbano Regionales - EURE. 2020 ; 46( 139): 29-45.[citado 2024 out. 11 ] Available from: https://doi.org/10.4067/S0250-71612020000300029
Vancouver
Carmo J, Moreira TA. Articulações metropolitanas, políticas municipais: desafios e avanços do planejamento territorial na Região Metropolitana de Curitiba (Brasil) [Internet]. Revista Latinoamericana de Estudios Urbano Regionales - EURE. 2020 ; 46( 139): 29-45.[citado 2024 out. 11 ] Available from: https://doi.org/10.4067/S0250-71612020000300029
Artigo de periodico
Correlation based feature fusion for the temporal video scene segmentation task (2019)
Kishi, Rodrigo Mitsuo; Trojahn, Tiago Henrique; Goularte, Rudinei
Source: Multimedia Tools and Applications. Unidade: ICMC
Subjects: MULTIMÍDIA INTERATIVA, RECUPERAÇÃO DA INFORMAÇÃO, VÍDEO
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KISHI, Rodrigo Mitsuo e TROJAHN, Tiago Henrique e GOULARTE, Rudinei. Correlation based feature fusion for the temporal video scene segmentation task. Multimedia Tools and Applications, v. 78, n. 11, p. 15623-15646, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11042-018-6959-4. Acesso em: 11 out. 2024.
APA
Kishi, R. M., Trojahn, T. H., & Goularte, R. (2019). Correlation based feature fusion for the temporal video scene segmentation task. Multimedia Tools and Applications, 78( 11), 15623-15646. doi:10.1007/s11042-018-6959-4
NLM
Kishi RM, Trojahn TH, Goularte R. Correlation based feature fusion for the temporal video scene segmentation task [Internet]. Multimedia Tools and Applications. 2019 ; 78( 11): 15623-15646.[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/s11042-018-6959-4
Vancouver
Kishi RM, Trojahn TH, Goularte R. Correlation based feature fusion for the temporal video scene segmentation task [Internet]. Multimedia Tools and Applications. 2019 ; 78( 11): 15623-15646.[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/s11042-018-6959-4
Artigo de periodico
Detecting multi-scale distance-based inconsistencies in cities through complex-networks (2019)
Spadon, Gabriel; Machado, Bruno Brandoli; Eler, Danilo Medeiros; Rodrigues Junior, José Fernando
Source: Journal of Computational Science. Unidade: ICMC
Subjects: REDES COMPLEXAS, VISUALIZAÇÃO, PLANEJAMENTO TERRITORIAL URBANO
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ABNT
SPADON, Gabriel et al. Detecting multi-scale distance-based inconsistencies in cities through complex-networks. Journal of Computational Science, v. 30, n. Ja 2019, p. 209-222, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jocs.2018.12.015. Acesso em: 11 out. 2024.
APA
Spadon, G., Machado, B. B., Eler, D. M., & Rodrigues Junior, J. F. (2019). Detecting multi-scale distance-based inconsistencies in cities through complex-networks. Journal of Computational Science, 30( Ja 2019), 209-222. doi:10.1016/j.jocs.2018.12.015
NLM
Spadon G, Machado BB, Eler DM, Rodrigues Junior JF. Detecting multi-scale distance-based inconsistencies in cities through complex-networks [Internet]. Journal of Computational Science. 2019 ; 30( Ja 2019): 209-222.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.jocs.2018.12.015
Vancouver
Spadon G, Machado BB, Eler DM, Rodrigues Junior JF. Detecting multi-scale distance-based inconsistencies in cities through complex-networks [Internet]. Journal of Computational Science. 2019 ; 30( Ja 2019): 209-222.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.jocs.2018.12.015
Artigo de periodico
Knowledge-enhanced document embeddings for text classification (2019)
Sinoara, Roberta Akemi; Camacho-Collados, Jose; Rossi, Rafael G; Navigli, Roberto; Rezende, Solange Oliveira
Source: Knowledge-Based Systems. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO
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ABNT
SINOARA, Roberta Akemi et al. Knowledge-enhanced document embeddings for text classification. Knowledge-Based Systems, v. 163, n. Ja 2019, p. 955-971, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2018.10.026. Acesso em: 11 out. 2024.
APA
Sinoara, R. A., Camacho-Collados, J., Rossi, R. G., Navigli, R., & Rezende, S. O. (2019). Knowledge-enhanced document embeddings for text classification. Knowledge-Based Systems, 163( Ja 2019), 955-971. doi:10.1016/j.knosys.2018.10.026
NLM
Sinoara RA, Camacho-Collados J, Rossi RG, Navigli R, Rezende SO. Knowledge-enhanced document embeddings for text classification [Internet]. Knowledge-Based Systems. 2019 ; 163( Ja 2019): 955-971.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.knosys.2018.10.026
Vancouver
Sinoara RA, Camacho-Collados J, Rossi RG, Navigli R, Rezende SO. Knowledge-enhanced document embeddings for text classification [Internet]. Knowledge-Based Systems. 2019 ; 163( Ja 2019): 955-971.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.knosys.2018.10.026
Artigo de periodico
Concept drift detection on social network data using cross-recurrence quantification analysis (2018)
Mello, Rodrigo Fernandes de; Rios, Ricardo A; Pagliosa, Paulo A
Source: Chaos. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ANÁLISE DE SÉRIES TEMPORAIS, MÍDIAS SOCIAIS
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ABNT
MELLO, Rodrigo Fernandes de e RIOS, Ricardo A e PAGLIOSA, Paulo A. Concept drift detection on social network data using cross-recurrence quantification analysis. Chaos, v. 28, p. 085719-1-085719-15, 2018Tradução . . Disponível em: https://doi.org/10.1063/1.5024241. Acesso em: 11 out. 2024.
APA
Mello, R. F. de, Rios, R. A., & Pagliosa, P. A. (2018). Concept drift detection on social network data using cross-recurrence quantification analysis. Chaos, 28, 085719-1-085719-15. doi:10.1063/1.5024241
NLM
Mello RF de, Rios RA, Pagliosa PA. Concept drift detection on social network data using cross-recurrence quantification analysis [Internet]. Chaos. 2018 ; 28 085719-1-085719-15.[citado 2024 out. 11 ] Available from: https://doi.org/10.1063/1.5024241
Vancouver
Mello RF de, Rios RA, Pagliosa PA. Concept drift detection on social network data using cross-recurrence quantification analysis [Internet]. Chaos. 2018 ; 28 085719-1-085719-15.[citado 2024 out. 11 ] Available from: https://doi.org/10.1063/1.5024241
Artigo de periodico
Cross-domain aspect extraction for sentiment analysis: a transductive learning approach (2018)
Marcacini, Ricardo Marcondes ; Rossi, Rafael Geraldeli; Matsuno, Ivone Penque; Rezende, Solange Oliveira
Source: Decision Support Systems. Unidade: ICMC
Subjects: MINERAÇÃO DE DADOS, RECONHECIMENTO DE TEXTO, APRENDIZADO COMPUTACIONAL
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ABNT
MARCACINI, Ricardo Marcondes et al. Cross-domain aspect extraction for sentiment analysis: a transductive learning approach. Decision Support Systems, v. 114, p. 70-80, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.dss.2018.08.009. Acesso em: 11 out. 2024.
APA
Marcacini, R. M., Rossi, R. G., Matsuno, I. P., & Rezende, S. O. (2018). Cross-domain aspect extraction for sentiment analysis: a transductive learning approach. Decision Support Systems, 114, 70-80. doi:10.1016/j.dss.2018.08.009
NLM
Marcacini RM, Rossi RG, Matsuno IP, Rezende SO. Cross-domain aspect extraction for sentiment analysis: a transductive learning approach [Internet]. Decision Support Systems. 2018 ; 114 70-80.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.dss.2018.08.009
Vancouver
Marcacini RM, Rossi RG, Matsuno IP, Rezende SO. Cross-domain aspect extraction for sentiment analysis: a transductive learning approach [Internet]. Decision Support Systems. 2018 ; 114 70-80.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.dss.2018.08.009
Artigo de periodico
Is even data analysis ready today? (2017)
Mello, Rodrigo Fernandes de; Rios, Ricardo A; Pagliosa, Paulo A; Ishii, Renato P
Source: International Journal of Unconventional Computing. Unidade: ICMC
Subjects: BIG DATA, COMPUTAÇÃO MÓVEL, MINERAÇÃO DE DADOS
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ABNT
MELLO, Rodrigo Fernandes de et al. Is even data analysis ready today?. International Journal of Unconventional Computing, v. 13, n. 3, p. 253-272, 2017Tradução . . Disponível em: http://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-13-number-3-2017/ijuc-13-3-p-253-272/. Acesso em: 11 out. 2024.
APA
Mello, R. F. de, Rios, R. A., Pagliosa, P. A., & Ishii, R. P. (2017). Is even data analysis ready today? International Journal of Unconventional Computing, 13( 3), 253-272. Recuperado de http://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-13-number-3-2017/ijuc-13-3-p-253-272/
NLM
Mello RF de, Rios RA, Pagliosa PA, Ishii RP. Is even data analysis ready today? [Internet]. International Journal of Unconventional Computing. 2017 ; 13( 3): 253-272.[citado 2024 out. 11 ] Available from: http://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-13-number-3-2017/ijuc-13-3-p-253-272/
Vancouver
Mello RF de, Rios RA, Pagliosa PA, Ishii RP. Is even data analysis ready today? [Internet]. International Journal of Unconventional Computing. 2017 ; 13( 3): 253-272.[citado 2024 out. 11 ] Available from: http://www.oldcitypublishing.com/journals/ijuc-home/ijuc-issue-contents/ijuc-volume-13-number-3-2017/ijuc-13-3-p-253-272/
Artigo de periodico
A complex network approach for nanoparticle agglomeration analysis in nanoscale images (2017)
Machado, Bruno Brandoli; Scabini, Leonardo Felipe; Oruê, Jonatan Patrick Margarido; Arruda, Mauro Santos de; Gonçalves, Diogo Nunes; Gonçalves, Wesley Nunes; Moreira, Raphaell; Rodrigues Junior, José Fernando
Source: Journal of Nanoparticle Research. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, REDES COMPLEXAS, SIMULAÇÃO, NANOPARTÍCULAS
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ABNT
MACHADO, Bruno Brandoli et al. A complex network approach for nanoparticle agglomeration analysis in nanoscale images. Journal of Nanoparticle Research, v. 19, p. 1-11, 2017Tradução . . Disponível em: https://doi.org/10.1007/s11051-017-3760-7. Acesso em: 11 out. 2024.
APA
Machado, B. B., Scabini, L. F., Oruê, J. P. M., Arruda, M. S. de, Gonçalves, D. N., Gonçalves, W. N., et al. (2017). A complex network approach for nanoparticle agglomeration analysis in nanoscale images. Journal of Nanoparticle Research, 19, 1-11. doi:10.1007/s11051-017-3760-7
NLM
Machado BB, Scabini LF, Oruê JPM, Arruda MS de, Gonçalves DN, Gonçalves WN, Moreira R, Rodrigues Junior JF. A complex network approach for nanoparticle agglomeration analysis in nanoscale images [Internet]. Journal of Nanoparticle Research. 2017 ; 19 1-11.[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/s11051-017-3760-7
Vancouver
Machado BB, Scabini LF, Oruê JPM, Arruda MS de, Gonçalves DN, Gonçalves WN, Moreira R, Rodrigues Junior JF. A complex network approach for nanoparticle agglomeration analysis in nanoscale images [Internet]. Journal of Nanoparticle Research. 2017 ; 19 1-11.[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/s11051-017-3760-7
Artigo de periodico
Angular descriptors of complex networks: a novel approach for boundary shape analysis (2017)
Scabini, Leonardo F. S; Fistarol, Danilo O.; Cantero, Sávio V; Gonçalves, Wesley N; Machado, Bruno Brandoli; Rodrigues Junior, José Fernando
Source: Expert Sysems with Applications. Unidade: ICMC
Subjects: VISÃO COMPUTACIONAL, REDES COMPLEXAS, RECONHECIMENTO DE PADRÕES
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ABNT
SCABINI, Leonardo F. S et al. Angular descriptors of complex networks: a novel approach for boundary shape analysis. Expert Sysems with Applications, v. 89, p. 362-373, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2017.08.009. Acesso em: 11 out. 2024.
APA
Scabini, L. F. S., Fistarol, D. O., Cantero, S. V., Gonçalves, W. N., Machado, B. B., & Rodrigues Junior, J. F. (2017). Angular descriptors of complex networks: a novel approach for boundary shape analysis. Expert Sysems with Applications, 89, 362-373. doi:10.1016/j.eswa.2017.08.009
NLM
Scabini LFS, Fistarol DO, Cantero SV, Gonçalves WN, Machado BB, Rodrigues Junior JF. Angular descriptors of complex networks: a novel approach for boundary shape analysis [Internet]. Expert Sysems with Applications. 2017 ; 89 362-373.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.eswa.2017.08.009
Vancouver
Scabini LFS, Fistarol DO, Cantero SV, Gonçalves WN, Machado BB, Rodrigues Junior JF. Angular descriptors of complex networks: a novel approach for boundary shape analysis [Internet]. Expert Sysems with Applications. 2017 ; 89 362-373.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.eswa.2017.08.009
Artigo de periodico
Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data (2017)
Souza, Vinícius M. A; Rossi, Rafael G; Batista, Gustavo Enrique de Almeida Prado Alves; Rezende, Solange Oliveira
Source: Intelligent Data Analysis. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ANÁLISE DE SÉRIES TEMPORAIS
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ABNT
SOUZA, Vinícius M. A et al. Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data. Intelligent Data Analysis, v. 21, n. 5, p. 1061-1095, 2017Tradução . . Disponível em: https://doi.org/10.3233/IDA-163075. Acesso em: 11 out. 2024.
APA
Souza, V. M. A., Rossi, R. G., Batista, G. E. de A. P. A., & Rezende, S. O. (2017). Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data. Intelligent Data Analysis, 21( 5), 1061-1095. doi:10.3233/IDA-163075
NLM
Souza VMA, Rossi RG, Batista GE de APA, Rezende SO. Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data [Internet]. Intelligent Data Analysis. 2017 ; 21( 5): 1061-1095.[citado 2024 out. 11 ] Available from: https://doi.org/10.3233/IDA-163075
Vancouver
Souza VMA, Rossi RG, Batista GE de APA, Rezende SO. Unsupervised active learning techniques for labeling training sets: an experimental evaluation on sequential data [Internet]. Intelligent Data Analysis. 2017 ; 21( 5): 1061-1095.[citado 2024 out. 11 ] Available from: https://doi.org/10.3233/IDA-163075
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
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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: 11 out. 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 out. 11 ] 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 out. 11 ] Available from: https://doi.org/10.1016/j.knosys.2017.06.016
Artigo de periodico
Local descriptors for soybean disease recognition (2016)
Pires, Rillian Diello Lucas; Gonçalves, Diogo Nunes; Oruê, Jonatan Patrick Margarido; Kanashiro, Wesley Eiji Sanches; Rodrigues Junior, José Fernando ; Machado, Bruno Brandoli; Gonçalves, Wesley Nunes
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: BANCO DE DADOS, COMPUTAÇÃO GRÁFICA, VISÃO COMPUTACIONAL
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ABNT
PIRES, Rillian Diello Lucas et al. Local descriptors for soybean disease recognition. Computers and Electronics in Agriculture, v. 125, p. 48-55, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2016.04.032. Acesso em: 11 out. 2024.
APA
Pires, R. D. L., Gonçalves, D. N., Oruê, J. P. M., Kanashiro, W. E. S., Rodrigues Junior, J. F., Machado, B. B., & Gonçalves, W. N. (2016). Local descriptors for soybean disease recognition. Computers and Electronics in Agriculture, 125, 48-55. doi:10.1016/j.compag.2016.04.032
NLM
Pires RDL, Gonçalves DN, Oruê JPM, Kanashiro WES, Rodrigues Junior JF, Machado BB, Gonçalves WN. Local descriptors for soybean disease recognition [Internet]. Computers and Electronics in Agriculture. 2016 ; 125 48-55.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.compag.2016.04.032
Vancouver
Pires RDL, Gonçalves DN, Oruê JPM, Kanashiro WES, Rodrigues Junior JF, Machado BB, Gonçalves WN. Local descriptors for soybean disease recognition [Internet]. Computers and Electronics in Agriculture. 2016 ; 125 48-55.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.compag.2016.04.032
Artigo de periodico
BioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory (2016)
Machado, Bruno Brandoli; Orue, Jonatan P. M; Arruda, Mauro S; Santos, Cleidimar V; Sarath, Diogo S; Goncalves, Wesley N; Silva, Gercina G; Pistori, Hemerson; Roel, Antonia Railda; Rodrigues Junior, José Fernando
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, COMPUTAÇÃO GRÁFICA, PRODUÇÃO AGRÍCOLA, FOLHAS (PLANTAS)
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ABNT
MACHADO, Bruno Brandoli et al. BioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory. Computers and Electronics in Agriculture, v. No 2016, p. 44-55, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2016.09.007. Acesso em: 11 out. 2024.
APA
Machado, B. B., Orue, J. P. M., Arruda, M. S., Santos, C. V., Sarath, D. S., Goncalves, W. N., et al. (2016). BioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory. Computers and Electronics in Agriculture, No 2016, 44-55. doi:10.1016/j.compag.2016.09.007
NLM
Machado BB, Orue JPM, Arruda MS, Santos CV, Sarath DS, Goncalves WN, Silva GG, Pistori H, Roel AR, Rodrigues Junior JF. BioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory [Internet]. Computers and Electronics in Agriculture. 2016 ; No 2016 44-55.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.compag.2016.09.007
Vancouver
Machado BB, Orue JPM, Arruda MS, Santos CV, Sarath DS, Goncalves WN, Silva GG, Pistori H, Roel AR, Rodrigues Junior JF. BioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory [Internet]. Computers and Electronics in Agriculture. 2016 ; No 2016 44-55.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.compag.2016.09.007
Artigo de periodico
Ticks infesting bats (Mammalia: Chiroptera) in the Brazilian Pantanal (2016)
Muñoz-Leal, Sebastián; Eriksson, Alan; Santos, Carolina Ferreira; Fischer, Erich; Almeida, Juliana Cardoso de; Luz, Hermes R; Labruna, Marcelo Bahia
Source: Experimental and Applied Acarology. Unidade: FMVZ
Subjects: CARRAPATOS, MORCEGOS, INFESTAÇÕES POR CARRAPATOS
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ABNT
MUÑOZ-LEAL, Sebastián et al. Ticks infesting bats (Mammalia: Chiroptera) in the Brazilian Pantanal. Experimental and Applied Acarology, v. 69, n. 1, p. 73-85, 2016Tradução . . Disponível em: https://doi.org/10.1007/s10493-016-0026-5. Acesso em: 11 out. 2024.
APA
Muñoz-Leal, S., Eriksson, A., Santos, C. F., Fischer, E., Almeida, J. C. de, Luz, H. R., & Labruna, M. B. (2016). Ticks infesting bats (Mammalia: Chiroptera) in the Brazilian Pantanal. Experimental and Applied Acarology, 69( 1), 73-85. doi:10.1007/s10493-016-0026-5
NLM
Muñoz-Leal S, Eriksson A, Santos CF, Fischer E, Almeida JC de, Luz HR, Labruna MB. Ticks infesting bats (Mammalia: Chiroptera) in the Brazilian Pantanal [Internet]. Experimental and Applied Acarology. 2016 ; 69( 1): 73-85.[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/s10493-016-0026-5
Vancouver
Muñoz-Leal S, Eriksson A, Santos CF, Fischer E, Almeida JC de, Luz HR, Labruna MB. Ticks infesting bats (Mammalia: Chiroptera) in the Brazilian Pantanal [Internet]. Experimental and Applied Acarology. 2016 ; 69( 1): 73-85.[citado 2024 out. 11 ] Available from: https://doi.org/10.1007/s10493-016-0026-5
Artigo de periodico
A feasibility cachaca type recognition using computer vision and pattern recognition (2016)
Rodrigues, B. U.; Soares, A. S.; Costa, R. M.; Baalen, Jeffrey Van; Salvini, R. L.; Silva, F. A.; Caliari, M.; Cardoso, K. C. R.; Ribeiro, T. I. M.; Delbem, Alexandre Cláudio Botazzo ; Federson, F. M.; Coelho, Clarimar J.; Laureano, G. T.; Lima, T. W.
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
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ABNT
RODRIGUES, B. U. et al. A feasibility cachaca type recognition using computer vision and pattern recognition. Computers and Electronics in Agriculture, v. 123, p. 410-414, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2016.03.020. Acesso em: 11 out. 2024.
APA
Rodrigues, B. U., Soares, A. S., Costa, R. M., Baalen, J. V., Salvini, R. L., Silva, F. A., et al. (2016). A feasibility cachaca type recognition using computer vision and pattern recognition. Computers and Electronics in Agriculture, 123, 410-414. doi:10.1016/j.compag.2016.03.020
NLM
Rodrigues BU, Soares AS, Costa RM, Baalen JV, Salvini RL, Silva FA, Caliari M, Cardoso KCR, Ribeiro TIM, Delbem ACB, Federson FM, Coelho CJ, Laureano GT, Lima TW. A feasibility cachaca type recognition using computer vision and pattern recognition [Internet]. Computers and Electronics in Agriculture. 2016 ; 123 410-414.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.compag.2016.03.020
Vancouver
Rodrigues BU, Soares AS, Costa RM, Baalen JV, Salvini RL, Silva FA, Caliari M, Cardoso KCR, Ribeiro TIM, Delbem ACB, Federson FM, Coelho CJ, Laureano GT, Lima TW. A feasibility cachaca type recognition using computer vision and pattern recognition [Internet]. Computers and Electronics in Agriculture. 2016 ; 123 410-414.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.compag.2016.03.020
Artigo de periodico
Projection inspector: assessment and synthesis of multidimensional projections (2015)
Pagliosa, Paulo; Paulovich, Fernando Vieira ; Minghim, Rosane ; Levkowitz, Haim; Nonato, Luis Gustavo
Source: Neurocomputing. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PAGLIOSA, Paulo et al. Projection inspector: assessment and synthesis of multidimensional projections. Neurocomputing, v. fe 2015, p. 599-610, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2014.07.072. Acesso em: 11 out. 2024.
APA
Pagliosa, P., Paulovich, F. V., Minghim, R., Levkowitz, H., & Nonato, L. G. (2015). Projection inspector: assessment and synthesis of multidimensional projections. Neurocomputing, fe 2015, 599-610. doi:10.1016/j.neucom.2014.07.072
NLM
Pagliosa P, Paulovich FV, Minghim R, Levkowitz H, Nonato LG. Projection inspector: assessment and synthesis of multidimensional projections [Internet]. Neurocomputing. 2015 ; fe 2015 599-610.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.neucom.2014.07.072
Vancouver
Pagliosa P, Paulovich FV, Minghim R, Levkowitz H, Nonato LG. Projection inspector: assessment and synthesis of multidimensional projections [Internet]. Neurocomputing. 2015 ; fe 2015 599-610.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.neucom.2014.07.072
Artigo de periodico
Interactive textual feature selection for consensus clustering (2015)
Corrêa, Geraldo N; Marcacini, Ricardo Marcondes ; Hruschka, Eduardo Raul ; Rezende, Solange Oliveira
Source: Pattern Recognition Letters. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, MINERAÇÃO DE DADOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CORRÊA, Geraldo N et al. Interactive textual feature selection for consensus clustering. Pattern Recognition Letters, v. 52, n. ja 2015, p. 25-31, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.patrec.2014.09.008. Acesso em: 11 out. 2024.
APA
Corrêa, G. N., Marcacini, R. M., Hruschka, E. R., & Rezende, S. O. (2015). Interactive textual feature selection for consensus clustering. Pattern Recognition Letters, 52( ja 2015), 25-31. doi:10.1016/j.patrec.2014.09.008
NLM
Corrêa GN, Marcacini RM, Hruschka ER, Rezende SO. Interactive textual feature selection for consensus clustering [Internet]. Pattern Recognition Letters. 2015 ; 52( ja 2015): 25-31.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.patrec.2014.09.008
Vancouver
Corrêa GN, Marcacini RM, Hruschka ER, Rezende SO. Interactive textual feature selection for consensus clustering [Internet]. Pattern Recognition Letters. 2015 ; 52( ja 2015): 25-31.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.patrec.2014.09.008
Artigo de periodico
A gene-by-gene multiple comparison analysis: a predictive Bayesian approach (2015)
Saraiva, Erlandson Ferreira ; Louzada, Francisco
Source: Brazilian Journal of Probability and Statistics. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, COMPARAÇÕES MÚLTIPLAS, EXPRESSÃO GÊNICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, Erlandson Ferreira e LOUZADA, Francisco. A gene-by-gene multiple comparison analysis: a predictive Bayesian approach. Brazilian Journal of Probability and Statistics, v. 29, n. 1, p. 145-171, 2015Tradução . . Disponível em: https://doi.org/10.1214/13-BJPS233. Acesso em: 11 out. 2024.
APA
Saraiva, E. F., & Louzada, F. (2015). A gene-by-gene multiple comparison analysis: a predictive Bayesian approach. Brazilian Journal of Probability and Statistics, 29( 1), 145-171. doi:10.1214/13-BJPS233
NLM
Saraiva EF, Louzada F. A gene-by-gene multiple comparison analysis: a predictive Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 145-171.[citado 2024 out. 11 ] Available from: https://doi.org/10.1214/13-BJPS233
Vancouver
Saraiva EF, Louzada F. A gene-by-gene multiple comparison analysis: a predictive Bayesian approach [Internet]. Brazilian Journal of Probability and Statistics. 2015 ; 29( 1): 145-171.[citado 2024 out. 11 ] Available from: https://doi.org/10.1214/13-BJPS233
Artigo de periodico
Similarity preserving snippet-based visualization of web search results (2014)
Gomez-Nieto, Erick; Roman, Frizzi San; Pagliosa, Paulo; Casaca, Wallace; Helou, Elias Salomão ; Oliveira, Maria Cristina Ferreira de ; Nonato, Luis Gustavo
Source: IEEE Transactions on Visualization and Computer Graphics. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL, OTIMIZAÇÃO COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOMEZ-NIETO, Erick et al. Similarity preserving snippet-based visualization of web search results. IEEE Transactions on Visualization and Computer Graphics, v. 20, n. 3, p. 457-470, 2014Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2013.242. Acesso em: 11 out. 2024.
APA
Gomez-Nieto, E., Roman, F. S., Pagliosa, P., Casaca, W., Helou, E. S., Oliveira, M. C. F. de, & Nonato, L. G. (2014). Similarity preserving snippet-based visualization of web search results. IEEE Transactions on Visualization and Computer Graphics, 20( 3), 457-470. doi:10.1109/TVCG.2013.242
NLM
Gomez-Nieto E, Roman FS, Pagliosa P, Casaca W, Helou ES, Oliveira MCF de, Nonato LG. Similarity preserving snippet-based visualization of web search results [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2014 ; 20( 3): 457-470.[citado 2024 out. 11 ] Available from: https://doi.org/10.1109/TVCG.2013.242
Vancouver
Gomez-Nieto E, Roman FS, Pagliosa P, Casaca W, Helou ES, Oliveira MCF de, Nonato LG. Similarity preserving snippet-based visualization of web search results [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2014 ; 20( 3): 457-470.[citado 2024 out. 11 ] Available from: https://doi.org/10.1109/TVCG.2013.242
Artigo de periodico
Mixture models with an unknown number of components via a new posterior split-merge MCMC algorithm (2014)
Saraiva, Erlandson F; Louzada, Francisco ; Milan, Luis
Source: Applied Mathematics and Computation. Unidade: ICMC
Subjects: INFERÊNCIA BAYESIANA, INFERÊNCIA ESTATÍSTICA, ESTATÍSTICA APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SARAIVA, Erlandson F e LOUZADA, Francisco e MILAN, Luis. Mixture models with an unknown number of components via a new posterior split-merge MCMC algorithm. Applied Mathematics and Computation, v. 244, p. 959-975, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.amc.2014.07.032. Acesso em: 11 out. 2024.
APA
Saraiva, E. F., Louzada, F., & Milan, L. (2014). Mixture models with an unknown number of components via a new posterior split-merge MCMC algorithm. Applied Mathematics and Computation, 244, 959-975. doi:10.1016/j.amc.2014.07.032
NLM
Saraiva EF, Louzada F, Milan L. Mixture models with an unknown number of components via a new posterior split-merge MCMC algorithm [Internet]. Applied Mathematics and Computation. 2014 ; 244 959-975.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.amc.2014.07.032
Vancouver
Saraiva EF, Louzada F, Milan L. Mixture models with an unknown number of components via a new posterior split-merge MCMC algorithm [Internet]. Applied Mathematics and Computation. 2014 ; 244 959-975.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.amc.2014.07.032

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