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Trabalho de evento
A complex network approach for fish species recognition based on otolith shape (2022)
Ribas, Lucas Correia ; Scabini, Leonardo ; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC
Subjects: REDES COMPLEXAS, REDES NEURAIS, IMAGEM DIGITAL, RECONHECIMENTO DE IMAGEM, INTELIGÊNCIA ARTIFICIAL
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ABNT
RIBAS, Lucas Correia e SCABINI, Leonardo e BRUNO, Odemir Martinez. A complex network approach for fish species recognition based on otolith shape. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784114. Acesso em: 29 nov. 2025.
APA
Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). A complex network approach for fish species recognition based on otolith shape. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784114
NLM
Ribas LC, Scabini L, Bruno OM. A complex network approach for fish species recognition based on otolith shape [Internet]. Proceedings. 2022 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784114
Vancouver
Ribas LC, Scabini L, Bruno OM. A complex network approach for fish species recognition based on otolith shape [Internet]. Proceedings. 2022 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784114
Trabalho de evento
Complex texture features learned by applying randomized neural network on graphs (2022)
Zielinski, Kallil M. C.; Ribas, Lucas Correia ; Scabini, Leonardo ; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC
Subjects: REDES COMPLEXAS, IMAGEM DIGITAL (ANÁLISE), RECONHECIMENTO DE IMAGEM, RECONHECIMENTO DE PADRÕES, TEXTURA (ANÁLISE), INTELIGÊNCIA ARTIFICIAL
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ABNT
ZIELINSKI, Kallil M. C. et al. Complex texture features learned by applying randomized neural network on graphs. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784123. Acesso em: 29 nov. 2025.
APA
Zielinski, K. M. C., Ribas, L. C., Scabini, L., & Bruno, O. M. (2022). Complex texture features learned by applying randomized neural network on graphs. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784123
NLM
Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123
Vancouver
Zielinski KMC, Ribas LC, Scabini L, Bruno OM. Complex texture features learned by applying randomized neural network on graphs [Internet]. Proceedings. 2022 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784123
Trabalho de evento
Using fractal interpolation over complex network modeling of deep texture representation (2022)
Florindo, João Batista; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Image Processing Theory, Tools and Applications - IPTA. Unidade: IFSC
Subjects: FRACTAIS, TEXTURA, IMAGEM DIGITAL (ANÁLISE), RECONHECIMENTO DE PADRÕES, INTELIGÊNCIA ARTIFICIAL
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ABNT
FLORINDO, João Batista e BRUNO, Odemir Martinez. Using fractal interpolation over complex network modeling of deep texture representation. 2022, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2022. Disponível em: https://doi.org/10.1109/IPTA54936.2022.9784138. Acesso em: 29 nov. 2025.
APA
Florindo, J. B., & Bruno, O. M. (2022). Using fractal interpolation over complex network modeling of deep texture representation. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IPTA54936.2022.9784138
NLM
Florindo JB, Bruno OM. Using fractal interpolation over complex network modeling of deep texture representation [Internet]. Proceedings. 2022 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784138
Vancouver
Florindo JB, Bruno OM. Using fractal interpolation over complex network modeling of deep texture representation [Internet]. Proceedings. 2022 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IPTA54936.2022.9784138
Trabalho de evento
Shape classification using randomized neural network descriptors Extracted from the Fourier Spectrum (2020)
Sá Junior, Jarbas Joaci de Mesquita; Backes, André R.; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Systems, Signals and Image Processing - IWSSIP. Unidade: IFSC
Subjects: ANÁLISE DE FOURIER, REDES NEURAIS
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ABNT
SÁ JUNIOR, Jarbas Joaci de Mesquita e BACKES, André R. e BRUNO, Odemir Martinez. Shape classification using randomized neural network descriptors Extracted from the Fourier Spectrum. 2020, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2020. Disponível em: https://doi.org/10.1109/IWSSIP48289.2020.9145428. Acesso em: 29 nov. 2025.
APA
Sá Junior, J. J. de M., Backes, A. R., & Bruno, O. M. (2020). Shape classification using randomized neural network descriptors Extracted from the Fourier Spectrum. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IWSSIP48289.2020.9145428
NLM
Sá Junior JJ de M, Backes AR, Bruno OM. Shape classification using randomized neural network descriptors Extracted from the Fourier Spectrum [Internet]. Proceedings. 2020 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IWSSIP48289.2020.9145428
Vancouver
Sá Junior JJ de M, Backes AR, Bruno OM. Shape classification using randomized neural network descriptors Extracted from the Fourier Spectrum [Internet]. Proceedings. 2020 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/IWSSIP48289.2020.9145428
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
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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: 29 nov. 2025.
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 2025 nov. 29 ] 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 2025 nov. 29 ] Available from: https://doi.org/10.1109/ICoCS.2019.8930712
Trabalho de evento
Comparison between traditional texture methods and deep learning descriptors for detection of nitrogen deficiency in maize crops (2017)
Condori, Rayner Harold Montes; Bruno, Odemir Martinez ; Romualdo, Liliane Maria; Luz, Pedro Henrique de Cerqueira
Source: Proceedings. Conference titles: Workshop of Computer Vision - WCV. Unidades: IFSC, FZEA
Subjects: TEXTURA, AVALIAÇÃO NUTRICIONAL, MILHO
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ABNT
CONDORI, Rayner Harold Montes et al. Comparison between traditional texture methods and deep learning descriptors for detection of nitrogen deficiency in maize crops. 2017, Anais.. Piscataway: Institute of Electrical and Electronics Engineers - IEEE - Computer Society, 2017. Disponível em: https://doi.org/10.1109/WVC.2017.00009. Acesso em: 29 nov. 2025.
APA
Condori, R. H. M., Bruno, O. M., Romualdo, L. M., & Luz, P. H. de C. (2017). Comparison between traditional texture methods and deep learning descriptors for detection of nitrogen deficiency in maize crops. In Proceedings. Piscataway: Institute of Electrical and Electronics Engineers - IEEE - Computer Society. doi:10.1109/WVC.2017.00009
NLM
Condori RHM, Bruno OM, Romualdo LM, Luz PH de C. Comparison between traditional texture methods and deep learning descriptors for detection of nitrogen deficiency in maize crops [Internet]. Proceedings. 2017 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/WVC.2017.00009
Vancouver
Condori RHM, Bruno OM, Romualdo LM, Luz PH de C. Comparison between traditional texture methods and deep learning descriptors for detection of nitrogen deficiency in maize crops [Internet]. Proceedings. 2017 ;[citado 2025 nov. 29 ] Available from: https://doi.org/10.1109/WVC.2017.00009
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
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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: 29 nov. 2025.
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 2025 nov. 29 ] 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 2025 nov. 29 ] Available from: http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf
Trabalho de evento
Texture analysis using deterministic partially self-avoiding walk with thresholds (2016)
Ribas, Lucas Correia; Gonçalves, Wesley Nunes; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: Workshop de Visão Computacional - WVC. Unidade: IFSC
Subjects: TEXTURA, GEOMETRIA EUCLIDIANA
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ABNT
RIBAS, Lucas Correia e GONÇALVES, Wesley Nunes e BRUNO, Odemir Martinez. Texture analysis using deterministic partially self-avoiding walk with thresholds. 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: 29 nov. 2025.
APA
Ribas, L. C., Gonçalves, W. N., & Bruno, O. M. (2016). Texture analysis using deterministic partially self-avoiding walk with thresholds. 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
Ribas LC, Gonçalves WN, Bruno OM. Texture analysis using deterministic partially self-avoiding walk with thresholds [Internet]. Proceedings. 2016 ;[citado 2025 nov. 29 ] Available from: http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf
Vancouver
Ribas LC, Gonçalves WN, Bruno OM. Texture analysis using deterministic partially self-avoiding walk with thresholds [Internet]. Proceedings. 2016 ;[citado 2025 nov. 29 ] Available from: http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf
Trabalho de evento
Fast deterministic tourist walk for texture analysis (2016)
Ribas, Lucas Correia; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: Workshop de Visão Computacional - WVC. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, TEXTURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Fast deterministic tourist walk for texture analysis. 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: 29 nov. 2025.
APA
Ribas, L. C., & Bruno, O. M. (2016). Fast deterministic tourist walk for texture analysis. 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
Ribas LC, Bruno OM. Fast deterministic tourist walk for texture analysis [Internet]. Proceedings. 2016 ;[citado 2025 nov. 29 ] Available from: http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf
Vancouver
Ribas LC, Bruno OM. Fast deterministic tourist walk for texture analysis [Internet]. Proceedings. 2016 ;[citado 2025 nov. 29 ] Available from: http://wvc2016.weebly.com/uploads/1/3/5/3/13538287/final_program_wvc2016_proceedings.pdf
Trabalho de evento
Improving texture classification with nonextensive statistical mechanics (2014)
Assirati, Lucas; Silva, Núbia Rosa da Silva; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: Workshop de Visão Computacional - WVC. Unidade: IFSC
Subjects: VISÃO COMPUTACIONAL (MÉTODOS), PROCESSAMENTO DE IMAGENS
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ABNT
ASSIRATI, Lucas e SILVA, Núbia Rosa da Silva e BRUNO, Odemir Martinez. Improving texture classification with nonextensive statistical mechanics. 2014, Anais.. Uberlândia: Universidade Federal de Uberlândia, 2014. Disponível em: http://www.wvc2014.facom.ufu.br/sites/wvc2014.facom.ufu.br/files/IMCE/proceedings_WVC_2014_final.pdf. Acesso em: 29 nov. 2025.
APA
Assirati, L., Silva, N. R. da S., & Bruno, O. M. (2014). Improving texture classification with nonextensive statistical mechanics. In Proceedings. Uberlândia: Universidade Federal de Uberlândia. Recuperado de http://www.wvc2014.facom.ufu.br/sites/wvc2014.facom.ufu.br/files/IMCE/proceedings_WVC_2014_final.pdf
NLM
Assirati L, Silva NR da S, Bruno OM. Improving texture classification with nonextensive statistical mechanics [Internet]. Proceedings. 2014 ;[citado 2025 nov. 29 ] Available from: http://www.wvc2014.facom.ufu.br/sites/wvc2014.facom.ufu.br/files/IMCE/proceedings_WVC_2014_final.pdf
Vancouver
Assirati L, Silva NR da S, Bruno OM. Improving texture classification with nonextensive statistical mechanics [Internet]. Proceedings. 2014 ;[citado 2025 nov. 29 ] Available from: http://www.wvc2014.facom.ufu.br/sites/wvc2014.facom.ufu.br/files/IMCE/proceedings_WVC_2014_final.pdf

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