ReP USP - Resultado da busca

Artigo de periodico
Learning graph representation with randomized neural network for dynamic texture classification (2022)
Ribas, Lucas Correia ; Sá Júnior, Jarbas Joaci de Mesquita; Manzanera, Antoine ; Bruno, Odemir Martinez
Source: Applied Soft Computing. Unidades: IFSC, ICMC
Subjects: REDES COMPLEXAS, VISÃO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia et al. Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, v. 114, n. Ja 2022, p. 108035-1-108035-14, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2021.108035. Acesso em: 08 nov. 2024.
APA
Ribas, L. C., Sá Júnior, J. J. de M., Manzanera, A., & Bruno, O. M. (2022). Learning graph representation with randomized neural network for dynamic texture classification. Applied Soft Computing, 114( Ja 2022), 108035-1-108035-14. doi:10.1016/j.asoc.2021.108035
NLM
Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
Vancouver
Ribas LC, Sá Júnior JJ de M, Manzanera A, Bruno OM. Learning graph representation with randomized neural network for dynamic texture classification [Internet]. Applied Soft Computing. 2022 ; 114( Ja 2022): 108035-1-108035-14.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.asoc.2021.108035
Artigo de periodico
A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative (2022)
Ribas, Lucas Correia ; Riad, Rabia ; Jennane, Rachid ; Bruno, Odemir Martinez
Source: Biomedical Signal Processing and Control. Unidades: IFSC, ICMC
Subjects: REDES COMPLEXAS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, OSTEOARTRITE DO JOELHO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia et al. A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative. Biomedical Signal Processing and Control, v. 222, n. Ja 2022, p. 103133-1-103133-10, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.bspc.2021.103133. Acesso em: 08 nov. 2024.
APA
Ribas, L. C., Riad, R., Jennane, R., & Bruno, O. M. (2022). A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative. Biomedical Signal Processing and Control, 222( Ja 2022), 103133-1-103133-10. doi:10.1016/j.bspc.2021.103133
NLM
Ribas LC, Riad R, Jennane R, Bruno OM. A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative [Internet]. Biomedical Signal Processing and Control. 2022 ; 222( Ja 2022): 103133-1-103133-10.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.bspc.2021.103133
Vancouver
Ribas LC, Riad R, Jennane R, Bruno OM. A complex network based approach for knee osteoarthritis detection: data from the Osteoarthritis initiative [Internet]. Biomedical Signal Processing and Control. 2022 ; 222( Ja 2022): 103133-1-103133-10.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.bspc.2021.103133
Trabalho de evento
A new complex wavelet relative phase for osteoporosis diagnosis (2019)
Riad, Rabia; Jennane, Rachid; Douzi, Hassan; Rafiki, Abdessamade; Lespessailles, Eric; Bruno, Odemir Martinez ; El Hassouni, Mohammed
Source: Proceedings. Conference titles: IEEE World Conference on Complex Systems - WCCS. Unidade: IFSC
Subjects: OSTEOPOROSE, DIAGNÓSTICO CLÍNICO, TEXTURA, IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIAD, Rabia et al. A new complex wavelet relative phase for osteoporosis diagnosis. 2019, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2019. Disponível em: https://doi.org/10.1109/ICoCS.2019.8930712. Acesso em: 08 nov. 2024.
APA
Riad, R., Jennane, R., Douzi, H., Rafiki, A., Lespessailles, E., Bruno, O. M., & El Hassouni, M. (2019). A new complex wavelet relative phase for osteoporosis diagnosis. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/ICoCS.2019.8930712
NLM
Riad R, Jennane R, Douzi H, Rafiki A, Lespessailles E, Bruno OM, El Hassouni M. A new complex wavelet relative phase for osteoporosis diagnosis [Internet]. Proceedings. 2019 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.1109/ICoCS.2019.8930712
Vancouver
Riad R, Jennane R, Douzi H, Rafiki A, Lespessailles E, Bruno OM, El Hassouni M. A new complex wavelet relative phase for osteoporosis diagnosis [Internet]. Proceedings. 2019 ;[citado 2024 nov. 08 ] Available from: https://doi.org/10.1109/ICoCS.2019.8930712
Trabalho de evento-anais periodico
A fractal-based approach to network characterization applied to texture analysis (2019)
Ribas, Lucas Correia ; Manzanera, Antoine; Bruno, Odemir Martinez
Source: Lecture Notes in Computer Science - LNCS. Conference titles: International Conference on Computer Analysis of Images and Patterns - CAIP. Unidades: IFSC, ICMC
Subjects: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia e MANZANERA, Antoine e BRUNO, Odemir Martinez. A fractal-based approach to network characterization applied to texture analysis. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-29888-3_11. Acesso em: 08 nov. 2024. , 2019
APA
Ribas, L. C., Manzanera, A., & Bruno, O. M. (2019). A fractal-based approach to network characterization applied to texture analysis. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-29888-3_11
NLM
Ribas LC, Manzanera A, Bruno OM. A fractal-based approach to network characterization applied to texture analysis [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11678 129-140.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-29888-3_11
Vancouver
Ribas LC, Manzanera A, Bruno OM. A fractal-based approach to network characterization applied to texture analysis [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11678 129-140.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1007/978-3-030-29888-3_11
Artigo de periodico
Improving texture extraction and classification using smoothed morphological operators (2018)
Barros Neiva, Mariane; Vacavant, Antoine; Bruno, Odemir Martinez
Source: Digital Signal Processing. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARROS NEIVA, Mariane e VACAVANT, Antoine e BRUNO, Odemir Martinez. Improving texture extraction and classification using smoothed morphological operators. Digital Signal Processing, v. 83, p. 24-34, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2018.06.001. Acesso em: 08 nov. 2024.
APA
Barros Neiva, M., Vacavant, A., & Bruno, O. M. (2018). Improving texture extraction and classification using smoothed morphological operators. Digital Signal Processing, 83, 24-34. doi:10.1016/j.dsp.2018.06.001
NLM
Barros Neiva M, Vacavant A, Bruno OM. Improving texture extraction and classification using smoothed morphological operators [Internet]. Digital Signal Processing. 2018 ; 83 24-34.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.dsp.2018.06.001
Vancouver
Barros Neiva M, Vacavant A, Bruno OM. Improving texture extraction and classification using smoothed morphological operators [Internet]. Digital Signal Processing. 2018 ; 83 24-34.[citado 2024 nov. 08 ] Available from: https://doi.org/10.1016/j.dsp.2018.06.001
Trabalho de evento-resumo
Fractal behavior of humic substances evaluated by confocal laser scanning microscopy (CLSM) and fluorescence lifetime imaging (2016)
Milori, Debora Marcondes Bastos Pereira ; Mounier, Stephane ; Villas Boas, Paulino Ribeiro ; Tadini, Amanda M. ; Ohana, Nayre; Falvo, Mauricio; Bruno, Odemir Martinez ; Guimarães, Francisco Eduardo Gontijo
Source: Abstracts. Conference titles: Materials Research Society Fall Meeting and Exhibit. Unidade: IFSC
Subjects: MICROSCOPIA CONFOCAL, FLUORESCÊNCIA, FRACTAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MILORI, Debora Marcondes Bastos Pereira et al. Fractal behavior of humic substances evaluated by confocal laser scanning microscopy (CLSM) and fluorescence lifetime imaging. 2016, Anais.. Warrendale: Materials Research Society - MRS, 2016. Disponível em: https://www.mrs.org/technical-programs/programs_abstracts/2016_mrs_fall_meeting_exhibit/pm3/pm3_6_1/pm3_6_07_6. Acesso em: 08 nov. 2024.
APA
Milori, D. M. B. P., Mounier, S., Villas Boas, P. R., Tadini, A. M., Ohana, N., Falvo, M., et al. (2016). Fractal behavior of humic substances evaluated by confocal laser scanning microscopy (CLSM) and fluorescence lifetime imaging. In Abstracts. Warrendale: Materials Research Society - MRS. Recuperado de https://www.mrs.org/technical-programs/programs_abstracts/2016_mrs_fall_meeting_exhibit/pm3/pm3_6_1/pm3_6_07_6
NLM
Milori DMBP, Mounier S, Villas Boas PR, Tadini AM, Ohana N, Falvo M, Bruno OM, Guimarães FEG. Fractal behavior of humic substances evaluated by confocal laser scanning microscopy (CLSM) and fluorescence lifetime imaging [Internet]. Abstracts. 2016 ;[citado 2024 nov. 08 ] Available from: https://www.mrs.org/technical-programs/programs_abstracts/2016_mrs_fall_meeting_exhibit/pm3/pm3_6_1/pm3_6_07_6
Vancouver
Milori DMBP, Mounier S, Villas Boas PR, Tadini AM, Ohana N, Falvo M, Bruno OM, Guimarães FEG. Fractal behavior of humic substances evaluated by confocal laser scanning microscopy (CLSM) and fluorescence lifetime imaging [Internet]. Abstracts. 2016 ;[citado 2024 nov. 08 ] Available from: https://www.mrs.org/technical-programs/programs_abstracts/2016_mrs_fall_meeting_exhibit/pm3/pm3_6_1/pm3_6_07_6
Trabalho de evento
Binary distance transform to improve feature extraction (2016)
Neiva, Mariane Barros; Manzanera, Antoine; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: Workshop de Visão Computacional - WVC. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, TEXTURA, SISTEMA BINÁRIO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NEIVA, Mariane Barros e MANZANERA, Antoine e BRUNO, Odemir Martinez. Binary distance transform to improve feature extraction. 2016, Anais.. Campo Grande: Universidade Católica Dom Bosco - UCDB, 2016. Disponível em: http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf. Acesso em: 08 nov. 2024.
APA
Neiva, M. B., Manzanera, A., & Bruno, O. M. (2016). Binary distance transform to improve feature extraction. In Proceedings. Campo Grande: Universidade Católica Dom Bosco - UCDB. Recuperado de http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf
NLM
Neiva MB, Manzanera A, Bruno OM. Binary distance transform to improve feature extraction [Internet]. Proceedings. 2016 ;[citado 2024 nov. 08 ] Available from: http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf
Vancouver
Neiva MB, Manzanera A, Bruno OM. Binary distance transform to improve feature extraction [Internet]. Proceedings. 2016 ;[citado 2024 nov. 08 ] Available from: http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf

USP Schools

ReP

Filtros

Authors

Subjects

Source title

Funding Agencies

Non normalized affiliation