ReP USP - Resultado da busca

Trabalho de evento
Deep learning and t-SNE projection for plankton images clusterization (2022)
Goulart, Antonio José Homsi; Morimitsu, Alexandre ; Jacomassi, Renan; Hirata, Nina Sumiko Tomita ; Lopes, Rubens Mendes
Fonte: Proceedings. Nome do evento: Oceans Conference. Unidades: IME, IO
Assuntos: APRENDIZAGEM PROFUNDA, ALGORITMOS PARA PROCESSAMENTO, PLÂNCTON, IMAGEM DIGITAL
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ABNT
GOULART, Antonio José Homsi et al. Deep learning and t-SNE projection for plankton images clusterization. 2022, Anais.. Piscataway: IEEE, 2022. Disponível em: https://doi.org/10.23919/OCEANS44145.2021.9706043. Acesso em: 16 nov. 2024.
APA
Goulart, A. J. H., Morimitsu, A., Jacomassi, R., Hirata, N. S. T., & Lopes, R. M. (2022). Deep learning and t-SNE projection for plankton images clusterization. In Proceedings. Piscataway: IEEE. doi:10.23919/OCEANS44145.2021.9706043
NLM
Goulart AJH, Morimitsu A, Jacomassi R, Hirata NST, Lopes RM. Deep learning and t-SNE projection for plankton images clusterization [Internet]. Proceedings. 2022 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.23919/OCEANS44145.2021.9706043
Vancouver
Goulart AJH, Morimitsu A, Jacomassi R, Hirata NST, Lopes RM. Deep learning and t-SNE projection for plankton images clusterization [Internet]. Proceedings. 2022 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.23919/OCEANS44145.2021.9706043
Trabalho de evento
Plankton image classification based on multiple segmentations (2017)
Hirata, Nina Sumiko Tomita ; Fernández, Mariela; Lopes, Rubens Mendes
Fonte: Proceedings. Nome do evento: Workshop on Computer Vision for Analysis of Underwater Imagery (CVAUI). Unidades: IME, IO
Assuntos: COMPUTAÇÃO APLICADA, ALGORITMOS PARA IMAGENS
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ABNT
HIRATA, Nina Sumiko Tomita e FERNÁNDEZ, Mariela e LOPES, Rubens Mendes. Plankton image classification based on multiple segmentations. 2017, Anais.. Piscataway: IEEE, 2017. Disponível em: https://doi.org/10.1109/CVAUI.2016.022. Acesso em: 16 nov. 2024.
APA
Hirata, N. S. T., Fernández, M., & Lopes, R. M. (2017). Plankton image classification based on multiple segmentations. In Proceedings. Piscataway: IEEE. doi:10.1109/CVAUI.2016.022
NLM
Hirata NST, Fernández M, Lopes RM. Plankton image classification based on multiple segmentations [Internet]. Proceedings. 2017 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/CVAUI.2016.022
Vancouver
Hirata NST, Fernández M, Lopes RM. Plankton image classification based on multiple segmentations [Internet]. Proceedings. 2017 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/CVAUI.2016.022
Trabalho de evento
Image segmentation assessment from the perspective of a higher level task (2015)
Atausinchi Fernandez, Mariela; Lopes, Rubens Mendes ; Hirata, Nina Sumiko Tomita
Fonte: Proceedings. Nome do evento: Conference on Graphics, Patterns and Images - SIBGRAPI 2015. Unidades: IO, IME
Assuntos: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE PADRÕES, PLÂNCTON
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ABNT
ATAUSINCHI FERNANDEZ, Mariela e LOPES, Rubens Mendes e HIRATA, Nina Sumiko Tomita. Image segmentation assessment from the perspective of a higher level task. 2015, Anais.. Piscataway: IEEE, 2015. Disponível em: https://doi.org/10.1109/SIBGRAPI.2015.46. Acesso em: 16 nov. 2024.
APA
Atausinchi Fernandez, M., Lopes, R. M., & Hirata, N. S. T. (2015). Image segmentation assessment from the perspective of a higher level task. In Proceedings. Piscataway: IEEE. doi:10.1109/SIBGRAPI.2015.46
NLM
Atausinchi Fernandez M, Lopes RM, Hirata NST. Image segmentation assessment from the perspective of a higher level task [Internet]. Proceedings. 2015 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SIBGRAPI.2015.46
Vancouver
Atausinchi Fernandez M, Lopes RM, Hirata NST. Image segmentation assessment from the perspective of a higher level task [Internet]. Proceedings. 2015 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/SIBGRAPI.2015.46
Artigo de periodico
Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring (2015)
Matuszewski, Damian Janusz; César Júnior, Roberto Marcondes ; Strickler, J Rudi; Baldasso, Luis Fabiano; Lopes, Rubens Mendes
Fonte: Limnology and Oceanography: Methods. Unidades: IME, IO
Assuntos: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, PLÂNCTON
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ABNT
MATUSZEWSKI, Damian Janusz et al. Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring. Limnology and Oceanography: Methods, v. 13, n. 12, p. 687–696. dec. 2015, 2015Tradução . . Disponível em: https://doi.org/10.1002/lom3.10058. Acesso em: 16 nov. 2024.
APA
Matuszewski, D. J., César Júnior, R. M., Strickler, J. R., Baldasso, L. F., & Lopes, R. M. (2015). Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring. Limnology and Oceanography: Methods, 13( 12), 687–696. dec. 2015. doi:10.1002/lom3.10058
NLM
Matuszewski DJ, César Júnior RM, Strickler JR, Baldasso LF, Lopes RM. Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring [Internet]. Limnology and Oceanography: Methods. 2015 ; 13( 12): 687–696. dec. 2015.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1002/lom3.10058
Vancouver
Matuszewski DJ, César Júnior RM, Strickler JR, Baldasso LF, Lopes RM. Visual rhythm for particle analysis in sample-in-flow systems: application for continuous plankton monitoring [Internet]. Limnology and Oceanography: Methods. 2015 ; 13( 12): 687–696. dec. 2015.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1002/lom3.10058
Trabalho de evento
Visual rhythm-based method for continuous plankton monitoring (2013)
Matuszewski, Damian Janusz; Lopes, Rubens Mendes ; César Júnior, Roberto Marcondes
Fonte: Proceedings. Nome do evento: International Conference on e-Science. Unidades: IO, IME
Assuntos: COMPUTAÇÃO APLICADA, PROCESSAMENTO DE IMAGENS
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ABNT
MATUSZEWSKI, Damian Janusz e LOPES, Rubens Mendes e CÉSAR JÚNIOR, Roberto Marcondes. Visual rhythm-based method for continuous plankton monitoring. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/eScience.2013.18. Acesso em: 16 nov. 2024.
APA
Matuszewski, D. J., Lopes, R. M., & César Júnior, R. M. (2013). Visual rhythm-based method for continuous plankton monitoring. In Proceedings. Piscataway: IEEE. doi:10.1109/eScience.2013.18
NLM
Matuszewski DJ, Lopes RM, César Júnior RM. Visual rhythm-based method for continuous plankton monitoring [Internet]. Proceedings. 2013 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/eScience.2013.18
Vancouver
Matuszewski DJ, Lopes RM, César Júnior RM. Visual rhythm-based method for continuous plankton monitoring [Internet]. Proceedings. 2013 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/eScience.2013.18
Trabalho de evento
Visual rhythm-based plankton detection method for ballast water quality assessment (2012)
Matuszewski, Damian Janusz; Martins, Charles Iury Oliveira; César Júnior, Roberto Marcondes ; Strickler, J. R; Lopes, Rubens Mendes
Fonte: Proceedings. Nome do evento: International Conference on Image Processing - ICIP. Unidades: IME, IO
Assunto: PROCESSAMENTO DE IMAGENS
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ABNT
MATUSZEWSKI, Damian Janusz et al. Visual rhythm-based plankton detection method for ballast water quality assessment. 2012, Anais.. Los Alamitos: IEEE, 2012. Disponível em: https://doi.org/10.1109/ICIP.2012.6467033. Acesso em: 16 nov. 2024.
APA
Matuszewski, D. J., Martins, C. I. O., César Júnior, R. M., Strickler, J. R., & Lopes, R. M. (2012). Visual rhythm-based plankton detection method for ballast water quality assessment. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICIP.2012.6467033
NLM
Matuszewski DJ, Martins CIO, César Júnior RM, Strickler JR, Lopes RM. Visual rhythm-based plankton detection method for ballast water quality assessment [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICIP.2012.6467033
Vancouver
Matuszewski DJ, Martins CIO, César Júnior RM, Strickler JR, Lopes RM. Visual rhythm-based plankton detection method for ballast water quality assessment [Internet]. Proceedings. 2012 ;[citado 2024 nov. 16 ] Available from: https://doi.org/10.1109/ICIP.2012.6467033

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