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Artigo de periodico
Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus (2025)
Oiticica, Pedro Ramon Almeida ; Angelim, Monara Kaélle Servulo Cruz ; Soares, Juliana Coatrini ; Soares, Andrey Coatrini ; Proença-Modena, José Luiz ; Bruno, Odemir Martinez ; Oliveira Junior, Osvaldo Novais de
Source: ACS Sensors. Unidade: IFSC
Subjects: MICROSCÓPIO ÓTICO, APRENDIZADO COMPUTACIONAL, COVID-19, VISÃO COMPUTACIONAL
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OITICICA, Pedro Ramon Almeida et al. Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus. ACS Sensors, v. 10, n. 2, p. 1407-1418 + supporting information, 2025Tradução . . Disponível em: https://doi.org/10.1021/acssensors.4c03451. Acesso em: 08 out. 2025.
APA
Oiticica, P. R. A., Angelim, M. K. S. C., Soares, J. C., Soares, A. C., Proença-Modena, J. L., Bruno, O. M., & Oliveira Junior, O. N. de. (2025). Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus. ACS Sensors, 10( 2), 1407-1418 + supporting information. doi:10.1021/acssensors.4c03451
NLM
Oiticica PRA, Angelim MKSC, Soares JC, Soares AC, Proença-Modena JL, Bruno OM, Oliveira Junior ON de. Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus [Internet]. ACS Sensors. 2025 ; 10( 2): 1407-1418 + supporting information.[citado 2025 out. 08 ] Available from: https://doi.org/10.1021/acssensors.4c03451
Vancouver
Oiticica PRA, Angelim MKSC, Soares JC, Soares AC, Proença-Modena JL, Bruno OM, Oliveira Junior ON de. Using machine learning and optical microscopy image analysis of immunosensors made on plasmonic substrates: application to detect the SARS-CoV-2 virus [Internet]. ACS Sensors. 2025 ; 10( 2): 1407-1418 + supporting information.[citado 2025 out. 08 ] Available from: https://doi.org/10.1021/acssensors.4c03451
Artigo de periodico
A comparative survey of vision transformers for feature extraction in texture analysis (2025)
Scabini, Leonardo Felipe dos Santos ; Sacilotti, Andre ; Zielinski, Kallil Miguel Caparroz ; Ribas, Lucas Correia ; De Baets, Bernard ; Bruno, Odemir Martinez
Source: Journal of Imaging. Unidades: IFSC, ICMC
Subjects: VISÃO COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM
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SCABINI, Leonardo Felipe dos Santos et al. A comparative survey of vision transformers for feature extraction in texture analysis. Journal of Imaging, v. 11, n. 9, p. 304-1-304-26, 2025Tradução . . Disponível em: https://doi.org/10.3390/jimaging11090304. Acesso em: 08 out. 2025.
APA
Scabini, L. F. dos S., Sacilotti, A., Zielinski, K. M. C., Ribas, L. C., De Baets, B., & Bruno, O. M. (2025). A comparative survey of vision transformers for feature extraction in texture analysis. Journal of Imaging, 11( 9), 304-1-304-26. doi:10.3390/jimaging11090304
NLM
Scabini LF dos S, Sacilotti A, Zielinski KMC, Ribas LC, De Baets B, Bruno OM. A comparative survey of vision transformers for feature extraction in texture analysis [Internet]. Journal of Imaging. 2025 ; 11( 9): 304-1-304-26.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/jimaging11090304
Vancouver
Scabini LF dos S, Sacilotti A, Zielinski KMC, Ribas LC, De Baets B, Bruno OM. A comparative survey of vision transformers for feature extraction in texture analysis [Internet]. Journal of Imaging. 2025 ; 11( 9): 304-1-304-26.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/jimaging11090304
Artigo de periodico
Forecasting chaotic time series: comparative performance of LSTM-based and transformer-based neural network (2025)
Alvarenga, João Pedro do Valle ; Bruno, Odemir Martinez
Source: Chaos, Solitons and Fractals. Unidade: IFSC
Subjects: REDES NEURAIS, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), APRENDIZADO COMPUTACIONAL, FÍSICA COMPUTACIONAL
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ALVARENGA, João Pedro do Valle e BRUNO, Odemir Martinez. Forecasting chaotic time series: comparative performance of LSTM-based and transformer-based neural network. Chaos, Solitons and Fractals, v. 192, p. 116034-1- 116034-9, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2025.116034. Acesso em: 08 out. 2025.
APA
Alvarenga, J. P. do V., & Bruno, O. M. (2025). Forecasting chaotic time series: comparative performance of LSTM-based and transformer-based neural network. Chaos, Solitons and Fractals, 192, 116034-1- 116034-9. doi:10.1016/j.chaos.2025.116034
NLM
Alvarenga JP do V, Bruno OM. Forecasting chaotic time series: comparative performance of LSTM-based and transformer-based neural network [Internet]. Chaos, Solitons and Fractals. 2025 ; 192 116034-1- 116034-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116034
Vancouver
Alvarenga JP do V, Bruno OM. Forecasting chaotic time series: comparative performance of LSTM-based and transformer-based neural network [Internet]. Chaos, Solitons and Fractals. 2025 ; 192 116034-1- 116034-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116034
Artigo de periodico
Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion (2025)
Zielinski, Kallil Miguel Caparroz ; Scabini, Leonardo Felipe dos Santos ; Ribas, Lucas Correia ; Silva, Núbia Rosa da ; Beeckman, Hans; Verwaeren, Jan; Bruno, Odemir Martinez ; Baets, Bernard De
Source: Computers and Electronics in Agriculture. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, FÍSICA COMPUTACIONAL, REDES NEURAIS, PLANTAS, RECONHECIMENTO DE IMAGEM
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ZIELINSKI, Kallil Miguel Caparroz et al. Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion. Computers and Electronics in Agriculture, v. 231, p. 109867-1-109867-12, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2024.109867. Acesso em: 08 out. 2025.
APA
Zielinski, K. M. C., Scabini, L. F. dos S., Ribas, L. C., Silva, N. R. da, Beeckman, H., Verwaeren, J., et al. (2025). Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion. Computers and Electronics in Agriculture, 231, 109867-1-109867-12. doi:10.1016/j.compag.2024.109867
NLM
Zielinski KMC, Scabini LF dos S, Ribas LC, Silva NR da, Beeckman H, Verwaeren J, Bruno OM, Baets BD. Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion [Internet]. Computers and Electronics in Agriculture. 2025 ; 231 109867-1-109867-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.compag.2024.109867
Vancouver
Zielinski KMC, Scabini LF dos S, Ribas LC, Silva NR da, Beeckman H, Verwaeren J, Bruno OM, Baets BD. Advanced wood species identification based on multiple anatomical sections and using deep feature transfer and fusion [Internet]. Computers and Electronics in Agriculture. 2025 ; 231 109867-1-109867-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.compag.2024.109867
Artigo de periodico
Network classification through random walks (2025)
Travieso, Gonzalo ; Merenda, João Vitor ; Bruno, Odemir Martinez
Source: Chaos, Solitons and Fractals. Unidade: IFSC
Subjects: REDES COMPLEXAS, APRENDIZADO COMPUTACIONAL, FÍSICA COMPUTACIONAL
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TRAVIESO, Gonzalo e MERENDA, João Vitor e BRUNO, Odemir Martinez. Network classification through random walks. Chaos, Solitons and Fractals, v. 199, p. 116817-1-116817-7, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2025.116817. Acesso em: 08 out. 2025.
APA
Travieso, G., Merenda, J. V., & Bruno, O. M. (2025). Network classification through random walks. Chaos, Solitons and Fractals, 199, 116817-1-116817-7. doi:10.1016/j.chaos.2025.116817
NLM
Travieso G, Merenda JV, Bruno OM. Network classification through random walks [Internet]. Chaos, Solitons and Fractals. 2025 ; 199 116817-1-116817-7.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116817
Vancouver
Travieso G, Merenda JV, Bruno OM. Network classification through random walks [Internet]. Chaos, Solitons and Fractals. 2025 ; 199 116817-1-116817-7.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116817
Artigo de periodico
Pattern recognition on networks using bifurcated deterministic self-avoiding walks (2025)
Merenda, João Vitor ; Travieso, Gonzalo ; Bruno, Odemir Martinez
Source: Chaos, Solitons and Fractals. Unidade: IFSC
Subjects: REDES COMPLEXAS, ALGORITMOS, RECONHECIMENTO DE PADRÕES, FÍSICA COMPUTACIONAL
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MERENDA, João Vitor e TRAVIESO, Gonzalo e BRUNO, Odemir Martinez. Pattern recognition on networks using bifurcated deterministic self-avoiding walks. Chaos, Solitons and Fractals, v. 194, p. 116100-1-116100-10, 2025Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2025.116100. Acesso em: 08 out. 2025.
APA
Merenda, J. V., Travieso, G., & Bruno, O. M. (2025). Pattern recognition on networks using bifurcated deterministic self-avoiding walks. Chaos, Solitons and Fractals, 194, 116100-1-116100-10. doi:10.1016/j.chaos.2025.116100
NLM
Merenda JV, Travieso G, Bruno OM. Pattern recognition on networks using bifurcated deterministic self-avoiding walks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116100-1-116100-10.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116100
Vancouver
Merenda JV, Travieso G, Bruno OM. Pattern recognition on networks using bifurcated deterministic self-avoiding walks [Internet]. Chaos, Solitons and Fractals. 2025 ; 194 116100-1-116100-10.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2025.116100
Tese (Doutorado)
Leveraging improved approaches for the investigation of patterns and randomness in digital chaos (2024)
Bispo Junior, Altamir Gomes; Bruno, Odemir Martinez (Orientador)
Unidade: IFSC
Subjects: SISTEMAS DINÂMICOS, CAOS (SISTEMAS DINÂMICOS), RECONHECIMENTO DE PADRÕES
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BISPO JUNIOR, Altamir Gomes. Leveraging improved approaches for the investigation of patterns and randomness in digital chaos. 2024. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2024. Disponível em: https://www.teses.usp.br/teses/disponiveis/76/76132/tde-26082024-085906/. Acesso em: 08 out. 2025.
APA
Bispo Junior, A. G. (2024). Leveraging improved approaches for the investigation of patterns and randomness in digital chaos (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/76/76132/tde-26082024-085906/
NLM
Bispo Junior AG. Leveraging improved approaches for the investigation of patterns and randomness in digital chaos [Internet]. 2024 ;[citado 2025 out. 08 ] Available from: https://www.teses.usp.br/teses/disponiveis/76/76132/tde-26082024-085906/
Vancouver
Bispo Junior AG. Leveraging improved approaches for the investigation of patterns and randomness in digital chaos [Internet]. 2024 ;[citado 2025 out. 08 ] Available from: https://www.teses.usp.br/teses/disponiveis/76/76132/tde-26082024-085906/
Artigo de periodico
Application of coincidence index in the discovery of co-expressed metabolic pathways (2024)
Santos, João Paulo Cassucci dos ; Bruno, Odemir Martinez
Source: Physical Biology. Unidade: IFSC
Subjects: FÍSICA COMPUTACIONAL, RNA, ENZIMAS, ESCHERICHIA COLI
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SANTOS, João Paulo Cassucci dos e BRUNO, Odemir Martinez. Application of coincidence index in the discovery of co-expressed metabolic pathways. Physical Biology, v. 21, n. 5, p. 056001-1-056001-15 + supplementary data, 2024Tradução . . Disponível em: https://doi.org/10.1088/1478-3975/ad68b6. Acesso em: 08 out. 2025.
APA
Santos, J. P. C. dos, & Bruno, O. M. (2024). Application of coincidence index in the discovery of co-expressed metabolic pathways. Physical Biology, 21( 5), 056001-1-056001-15 + supplementary data. doi:10.1088/1478-3975/ad68b6
NLM
Santos JPC dos, Bruno OM. Application of coincidence index in the discovery of co-expressed metabolic pathways [Internet]. Physical Biology. 2024 ; 21( 5): 056001-1-056001-15 + supplementary data.[citado 2025 out. 08 ] Available from: https://doi.org/10.1088/1478-3975/ad68b6
Vancouver
Santos JPC dos, Bruno OM. Application of coincidence index in the discovery of co-expressed metabolic pathways [Internet]. Physical Biology. 2024 ; 21( 5): 056001-1-056001-15 + supplementary data.[citado 2025 out. 08 ] Available from: https://doi.org/10.1088/1478-3975/ad68b6
Trabalho de evento
Exploring neighborhood variancy for rule search optimization in life-like network automata (2024)
Zielinski, Kallil Miguel Caparroz ; Scabini, Leonardo Felipe dos Santos ; Ribas, Lucas Correia ; Bruno, Odemir Martinez
Source: Proceedings. Conference titles: International Conference on Pattern Recognition Systems - ICPRS. Unidade: IFSC
Subjects: FÍSICA COMPUTACIONAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE PADRÕES
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ZIELINSKI, Kallil Miguel Caparroz et al. Exploring neighborhood variancy for rule search optimization in life-like network automata. 2024, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2024. Disponível em: https://doi.org/10.1109/ICPRS62101.2024.10677825. Acesso em: 08 out. 2025.
APA
Zielinski, K. M. C., Scabini, L. F. dos S., Ribas, L. C., & Bruno, O. M. (2024). Exploring neighborhood variancy for rule search optimization in life-like network automata. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/ICPRS62101.2024.10677825
NLM
Zielinski KMC, Scabini LF dos S, Ribas LC, Bruno OM. Exploring neighborhood variancy for rule search optimization in life-like network automata [Internet]. Proceedings. 2024 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/ICPRS62101.2024.10677825
Vancouver
Zielinski KMC, Scabini LF dos S, Ribas LC, Bruno OM. Exploring neighborhood variancy for rule search optimization in life-like network automata [Internet]. Proceedings. 2024 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/ICPRS62101.2024.10677825
Artigo de periodico
Beyond bubbles: unraveling the interfacial pH effects on bubble size distribution (2024)
Silva, Jeyse da ; Nóbrega, Eryka Thamyris Damascena ; Staciaki, Felipe; Ribeiro, Fernanda Renata Almeida; Wosiak, Gabriel ; Gutierrez, Alexis; Bruno, Odemir Martinez ; Lopes, Mauro Chierici ; Pereira, Ernesto Chaves
Source: Chemical Engineering Journal. Unidades: IFSC, ICMC
Subjects: ELETRÓLISE, PROCESSAMENTO DE IMAGENS, MÉTODO DOS ELEMENTOS FINITOS
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SILVA, Jeyse da et al. Beyond bubbles: unraveling the interfacial pH effects on bubble size distribution. Chemical Engineering Journal, v. 494, p. 152943-1-152943-10, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.cej.2024.152943. Acesso em: 08 out. 2025.
APA
Silva, J. da, Nóbrega, E. T. D., Staciaki, F., Ribeiro, F. R. A., Wosiak, G., Gutierrez, A., et al. (2024). Beyond bubbles: unraveling the interfacial pH effects on bubble size distribution. Chemical Engineering Journal, 494, 152943-1-152943-10. doi:10.1016/j.cej.2024.152943
NLM
Silva J da, Nóbrega ETD, Staciaki F, Ribeiro FRA, Wosiak G, Gutierrez A, Bruno OM, Lopes MC, Pereira EC. Beyond bubbles: unraveling the interfacial pH effects on bubble size distribution [Internet]. Chemical Engineering Journal. 2024 ; 494 152943-1-152943-10.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.cej.2024.152943
Vancouver
Silva J da, Nóbrega ETD, Staciaki F, Ribeiro FRA, Wosiak G, Gutierrez A, Bruno OM, Lopes MC, Pereira EC. Beyond bubbles: unraveling the interfacial pH effects on bubble size distribution [Internet]. Chemical Engineering Journal. 2024 ; 494 152943-1-152943-10.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.cej.2024.152943
Trabalho de evento-resumo
Where does the chaos of the logistics map arise? In the middle digits (2024)
Alvarenga, João Pedro do Valle ; Bruno, Odemir Martinez
Source: Livro de Resumos. Conference titles: Semana Integrada do Instituto de Física de São Carlos - SIFSC. Unidade: IFSC
Subjects: FÍSICA COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, TEORIA DO CAOS
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ALVARENGA, João Pedro do Valle e BRUNO, Odemir Martinez. Where does the chaos of the logistics map arise? In the middle digits. 2024, Anais.. São Carlos: Instituto de Física de São Carlos - IFSC, 2024. Disponível em: https://repositorio.usp.br/directbitstream/5958206f-544a-496c-972f-484fef518dfc/PROD036527_3227957.pdf. Acesso em: 08 out. 2025.
APA
Alvarenga, J. P. do V., & Bruno, O. M. (2024). Where does the chaos of the logistics map arise? In the middle digits. In Livro de Resumos. São Carlos: Instituto de Física de São Carlos - IFSC. Recuperado de https://repositorio.usp.br/directbitstream/5958206f-544a-496c-972f-484fef518dfc/PROD036527_3227957.pdf
NLM
Alvarenga JP do V, Bruno OM. Where does the chaos of the logistics map arise? In the middle digits [Internet]. Livro de Resumos. 2024 ;[citado 2025 out. 08 ] Available from: https://repositorio.usp.br/directbitstream/5958206f-544a-496c-972f-484fef518dfc/PROD036527_3227957.pdf
Vancouver
Alvarenga JP do V, Bruno OM. Where does the chaos of the logistics map arise? In the middle digits [Internet]. Livro de Resumos. 2024 ;[citado 2025 out. 08 ] Available from: https://repositorio.usp.br/directbitstream/5958206f-544a-496c-972f-484fef518dfc/PROD036527_3227957.pdf
Trabalho de evento
Randomized encoding ensemble: a new approach for texture representation (2024)
Fares, Ricardo Trivizan ; Vicentim, Ana Catarina Marques ; Scabini, Leonardo Felipe dos Santos ; Zielinski, Kallil Miguel Caparroz ; Jennane, Rachid ; Bruno, Odemir Martinez ; Ribas, Lucas Correia
Source: Proceedings. Conference titles: International Conference on Systems, Signals and Image Processing - IWSSIP. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE IMAGEM, PLANTAS
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ABNT
FARES, Ricardo Trivizan et al. Randomized encoding ensemble: a new approach for texture representation. 2024, Anais.. Piscataway: Institute of Electrical and Electronic Engineers - IEEE, 2024. Disponível em: https://doi.org/10.1109/IWSSIP62407.2024.10634030. Acesso em: 08 out. 2025.
APA
Fares, R. T., Vicentim, A. C. M., Scabini, L. F. dos S., Zielinski, K. M. C., Jennane, R., Bruno, O. M., & Ribas, L. C. (2024). Randomized encoding ensemble: a new approach for texture representation. In Proceedings. Piscataway: Institute of Electrical and Electronic Engineers - IEEE. doi:10.1109/IWSSIP62407.2024.10634030
NLM
Fares RT, Vicentim ACM, Scabini LF dos S, Zielinski KMC, Jennane R, Bruno OM, Ribas LC. Randomized encoding ensemble: a new approach for texture representation [Internet]. Proceedings. 2024 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/IWSSIP62407.2024.10634030
Vancouver
Fares RT, Vicentim ACM, Scabini LF dos S, Zielinski KMC, Jennane R, Bruno OM, Ribas LC. Randomized encoding ensemble: a new approach for texture representation [Internet]. Proceedings. 2024 ;[citado 2025 out. 08 ] Available from: https://doi.org/10.1109/IWSSIP62407.2024.10634030
Artigo de periodico-dep/entr
Inteligência artificial decifra parte de papiro da antiguidade. [Depoimento a Maria Guimarães] (2024)
Bruno, Odemir Martinez
Source: Pesquisa FAPESP. Unidade: IFSC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, FÍSICA COMPUTACIONAL, ARQUEOLOGIA, PAPIRO, PESQUISA CIENTÍFICA, CIÊNCIA (DISSEMINAÇÃO)
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ABNT
BRUNO, Odemir Martinez. Inteligência artificial decifra parte de papiro da antiguidade. [Depoimento a Maria Guimarães]. Pesquisa FAPESP. São Paulo: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://revistapesquisa.fapesp.br/inteligencia-artificial-decifra-parte-de-papiro-da-antiguidade/. Acesso em: 08 out. 2025. , 2024
APA
Bruno, O. M. (2024). Inteligência artificial decifra parte de papiro da antiguidade. [Depoimento a Maria Guimarães]. Pesquisa FAPESP. São Paulo: Instituto de Física de São Carlos, Universidade de São Paulo. Recuperado de https://revistapesquisa.fapesp.br/inteligencia-artificial-decifra-parte-de-papiro-da-antiguidade/
NLM
Bruno OM. Inteligência artificial decifra parte de papiro da antiguidade. [Depoimento a Maria Guimarães] [Internet]. Pesquisa FAPESP. 2024 ; 338[citado 2025 out. 08 ] Available from: https://revistapesquisa.fapesp.br/inteligencia-artificial-decifra-parte-de-papiro-da-antiguidade/
Vancouver
Bruno OM. Inteligência artificial decifra parte de papiro da antiguidade. [Depoimento a Maria Guimarães] [Internet]. Pesquisa FAPESP. 2024 ; 338[citado 2025 out. 08 ] Available from: https://revistapesquisa.fapesp.br/inteligencia-artificial-decifra-parte-de-papiro-da-antiguidade/
Artigo de periodico
Color-texture classification based on spatio-spectral complex network representations (2024)
Ribas, Lucas Correia ; Scabini, Leonardo Felipe dos Santos ; Condori, Rayner Harold Montes ; Bruno, Odemir Martinez
Source: Physica A. Unidades: IFSC, ICMC
Subjects: REDES NEURAIS, RECONHECIMENTO DE PADRÕES, APRENDIZAGEM PROFUNDA, REDES COMPLEXAS, TEXTURA
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ABNT
RIBAS, Lucas Correia et al. Color-texture classification based on spatio-spectral complex network representations. Physica A, v. 635, p. 129518-1-129518-15, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.physa.2024.129518. Acesso em: 08 out. 2025.
APA
Ribas, L. C., Scabini, L. F. dos S., Condori, R. H. M., & Bruno, O. M. (2024). Color-texture classification based on spatio-spectral complex network representations. Physica A, 635, 129518-1-129518-15. doi:10.1016/j.physa.2024.129518
NLM
Ribas LC, Scabini LF dos S, Condori RHM, Bruno OM. Color-texture classification based on spatio-spectral complex network representations [Internet]. Physica A. 2024 ; 635 129518-1-129518-15.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2024.129518
Vancouver
Ribas LC, Scabini LF dos S, Condori RHM, Bruno OM. Color-texture classification based on spatio-spectral complex network representations [Internet]. Physica A. 2024 ; 635 129518-1-129518-15.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.physa.2024.129518
Dissertação (Mestrado)
Pattern and pseudo-randomness of chaos (2024)
Alvarenga, João Pedro do Valle ; Bruno, Odemir Martinez
Unidade: IFSC
Subjects: TEORIA DO CAOS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVARENGA, João Pedro do Valle e BRUNO, Odemir Martinez. Pattern and pseudo-randomness of chaos. 2024. Dissertação (Mestrado) – Universidade de São Paulo, São Carlos, 2024. Disponível em: https://www.teses.usp.br/teses/disponiveis/76/76135/tde-22042025-082559/. Acesso em: 08 out. 2025.
APA
Alvarenga, J. P. do V., & Bruno, O. M. (2024). Pattern and pseudo-randomness of chaos (Dissertação (Mestrado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/76/76135/tde-22042025-082559/
NLM
Alvarenga JP do V, Bruno OM. Pattern and pseudo-randomness of chaos [Internet]. 2024 ;[citado 2025 out. 08 ] Available from: https://www.teses.usp.br/teses/disponiveis/76/76135/tde-22042025-082559/
Vancouver
Alvarenga JP do V, Bruno OM. Pattern and pseudo-randomness of chaos [Internet]. 2024 ;[citado 2025 out. 08 ] Available from: https://www.teses.usp.br/teses/disponiveis/76/76135/tde-22042025-082559/
Artigo de periodico
Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning (2024)
Borzooei, Sina ; Scabini, Leonardo ; Miranda, Gisele Helena Barboni ; Daneshgar, Saba ; Deblieck, Lukas; Bruno, Odemir Martinez ; Langhe, Piet De; Baets, Bernard De ; Nopens, Ingmar; Torfs, Elena
Source: Journal of Water Process Engineering. Unidade: IFSC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, REDES NEURAIS, TRATAMENTO DE ÁGUA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BORZOOEI, Sina et al. Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning. Journal of Water Process Engineering, v. 64, p. 105692-1-105692-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.jwpe.2024.105692. Acesso em: 08 out. 2025.
APA
Borzooei, S., Scabini, L., Miranda, G. H. B., Daneshgar, S., Deblieck, L., Bruno, O. M., et al. (2024). Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning. Journal of Water Process Engineering, 64, 105692-1-105692-13. doi:10.1016/j.jwpe.2024.105692
NLM
Borzooei S, Scabini L, Miranda GHB, Daneshgar S, Deblieck L, Bruno OM, Langhe PD, Baets BD, Nopens I, Torfs E. Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning [Internet]. Journal of Water Process Engineering. 2024 ; 64 105692-1-105692-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.jwpe.2024.105692
Vancouver
Borzooei S, Scabini L, Miranda GHB, Daneshgar S, Deblieck L, Bruno OM, Langhe PD, Baets BD, Nopens I, Torfs E. Evaluation of activated sludge settling characteristics from microscopy images with deep convolutional neural networks and transfer learning [Internet]. Journal of Water Process Engineering. 2024 ; 64 105692-1-105692-13.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.jwpe.2024.105692
Artigo de periodico
Improving deep neural network random initialization through neuronal rewiring (2024)
Scabini, Leonardo Felipe dos Santos ; Baets, Bernard De ; Bruno, Odemir Martinez
Source: Neurocomputing. Unidade: IFSC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCABINI, Leonardo Felipe dos Santos e BAETS, Bernard De e BRUNO, Odemir Martinez. Improving deep neural network random initialization through neuronal rewiring. Neurocomputing, v. 599, p. 128130-1-128130-13 + supplementary data, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2024.128130. Acesso em: 08 out. 2025.
APA
Scabini, L. F. dos S., Baets, B. D., & Bruno, O. M. (2024). Improving deep neural network random initialization through neuronal rewiring. Neurocomputing, 599, 128130-1-128130-13 + supplementary data. doi:10.1016/j.neucom.2024.128130
NLM
Scabini LF dos S, Baets BD, Bruno OM. Improving deep neural network random initialization through neuronal rewiring [Internet]. Neurocomputing. 2024 ; 599 128130-1-128130-13 + supplementary data.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.neucom.2024.128130
Vancouver
Scabini LF dos S, Baets BD, Bruno OM. Improving deep neural network random initialization through neuronal rewiring [Internet]. Neurocomputing. 2024 ; 599 128130-1-128130-13 + supplementary data.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.neucom.2024.128130
Artigo de periodico
Local complex features learned by randomized neural networks for texture analysis (2024)
Ribas, Lucas Correia ; Scabini, Leonardo Felipe dos Santos ; Sá Júnior, Jarbas Joaci de Mesquita; Bruno, Odemir Martinez
Source: Pattern Analysis and Applications. 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 et al. Local complex features learned by randomized neural networks for texture analysis. Pattern Analysis and Applications, v. 27, p. 23-1-23-12, 2024Tradução . . Disponível em: https://doi.org/10.1007/s10044-024-01230-x. Acesso em: 08 out. 2025.
APA
Ribas, L. C., Scabini, L. F. dos S., Sá Júnior, J. J. de M., & Bruno, O. M. (2024). Local complex features learned by randomized neural networks for texture analysis. Pattern Analysis and Applications, 27, 23-1-23-12. doi:10.1007/s10044-024-01230-x
NLM
Ribas LC, Scabini LF dos S, Sá Júnior JJ de M, Bruno OM. Local complex features learned by randomized neural networks for texture analysis [Internet]. Pattern Analysis and Applications. 2024 ; 27 23-1-23-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s10044-024-01230-x
Vancouver
Ribas LC, Scabini LF dos S, Sá Júnior JJ de M, Bruno OM. Local complex features learned by randomized neural networks for texture analysis [Internet]. Pattern Analysis and Applications. 2024 ; 27 23-1-23-12.[citado 2025 out. 08 ] Available from: https://doi.org/10.1007/s10044-024-01230-x
Artigo de periodico
Dynamics and patterns of the least significant digits of the infinite-arithmetic precision logistic map orbits (2024)
Alvarenga, João Pedro do Valle ; Bruno, Odemir Martinez
Source: Chaos, Solitons and Fractals. Unidade: IFSC
Subjects: RECONHECIMENTO DE PADRÕES, ÓRBITA, FÍSICA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ALVARENGA, João Pedro do Valle e BRUNO, Odemir Martinez. Dynamics and patterns of the least significant digits of the infinite-arithmetic precision logistic map orbits. Chaos, Solitons and Fractals, v. 180, p. 114488-1-114488-9, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.chaos.2024.114488. Acesso em: 08 out. 2025.
APA
Alvarenga, J. P. do V., & Bruno, O. M. (2024). Dynamics and patterns of the least significant digits of the infinite-arithmetic precision logistic map orbits. Chaos, Solitons and Fractals, 180, 114488-1-114488-9. doi:10.1016/j.chaos.2024.114488
NLM
Alvarenga JP do V, Bruno OM. Dynamics and patterns of the least significant digits of the infinite-arithmetic precision logistic map orbits [Internet]. Chaos, Solitons and Fractals. 2024 ; 180 114488-1-114488-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2024.114488
Vancouver
Alvarenga JP do V, Bruno OM. Dynamics and patterns of the least significant digits of the infinite-arithmetic precision logistic map orbits [Internet]. Chaos, Solitons and Fractals. 2024 ; 180 114488-1-114488-9.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.chaos.2024.114488
Artigo de periodico
A network classification method based on density time evolution patterns extracted from network automata (2024)
Zielinski, Kallil Miguel Caparroz; Ribas, Lucas Correia ; Machicao, Jeaneth ; Bruno, Odemir Martinez
Source: Pattern Recognition. Unidades: IFSC, EP
Subjects: REDES COMPLEXAS, REDES NEURAIS, VISÃO COMPUTACIONAL, TEXTURA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ZIELINSKI, Kallil Miguel Caparroz et al. A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognition, v. 146, p. 109802-1-109802-13 + supplementary materials, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2023.109946. Acesso em: 08 out. 2025.
APA
Zielinski, K. M. C., Ribas, L. C., Machicao, J., & Bruno, O. M. (2024). A network classification method based on density time evolution patterns extracted from network automata. Pattern Recognition, 146, 109802-1-109802-13 + supplementary materials. doi:10.1016/j.patcog.2023.109946
NLM
Zielinski KMC, Ribas LC, Machicao J, Bruno OM. A network classification method based on density time evolution patterns extracted from network automata [Internet]. Pattern Recognition. 2024 ; 146 109802-1-109802-13 + supplementary materials.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946
Vancouver
Zielinski KMC, Ribas LC, Machicao J, Bruno OM. A network classification method based on density time evolution patterns extracted from network automata [Internet]. Pattern Recognition. 2024 ; 146 109802-1-109802-13 + supplementary materials.[citado 2025 out. 08 ] Available from: https://doi.org/10.1016/j.patcog.2023.109946

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