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Trabalho de evento-anais periodico
How do practitioners perceive the relevance of software architecture research? (2026)
Cavalcante, Everton ; Nakagawa, Elisa Yumi ; Kazman, Rick ; Batista, Thais
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: European Conference on Software Architecture - ECSA. Unidade: ICMC
Assuntos: ARQUITETURA DE SOFTWARE, COMPUTAÇÃO APLICADA, INDÚSTRIA 4.0, PESQUISA
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CAVALCANTE, Everton et al. How do practitioners perceive the relevance of software architecture research?. Lecture Notes in Computer Science - LNCS. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-032-02138-0_21. Acesso em: 07 out. 2025. , 2026
APA
Cavalcante, E., Nakagawa, E. Y., Kazman, R., & Batista, T. (2026). How do practitioners perceive the relevance of software architecture research? Lecture Notes in Computer Science - LNCS. Cham: Springer. doi:10.1007/978-3-032-02138-0_21
NLM
Cavalcante E, Nakagawa EY, Kazman R, Batista T. How do practitioners perceive the relevance of software architecture research? [Internet]. Lecture Notes in Computer Science - LNCS. 2026 ; 15929 323-331.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-032-02138-0_21
Vancouver
Cavalcante E, Nakagawa EY, Kazman R, Batista T. How do practitioners perceive the relevance of software architecture research? [Internet]. Lecture Notes in Computer Science - LNCS. 2026 ; 15929 323-331.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-032-02138-0_21
Trabalho de evento-anais periodico
Dynamic function exchange in FPGA to redefine RISC-V multicore architectures at runtime (2025)
Alves, Téo Sobrino ; Bonato, Vanderlei
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Symposium on Applied Reconfigurable Computing - ARC. Unidade: ICMC
Assuntos: ARQUITETURA E ORGANIZAÇÃO DE COMPUTADORES, HARDWARE
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ALVES, Téo Sobrino e BONATO, Vanderlei. Dynamic function exchange in FPGA to redefine RISC-V multicore architectures at runtime. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-87995-1_14. Acesso em: 07 out. 2025. , 2025
APA
Alves, T. S., & Bonato, V. (2025). Dynamic function exchange in FPGA to redefine RISC-V multicore architectures at runtime. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/978-3-031-87995-1_14
NLM
Alves TS, Bonato V. Dynamic function exchange in FPGA to redefine RISC-V multicore architectures at runtime [Internet]. Lecture Notes in Computer Science - LNCS. 2025 ; 15594 233-243.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-031-87995-1_14
Vancouver
Alves TS, Bonato V. Dynamic function exchange in FPGA to redefine RISC-V multicore architectures at runtime [Internet]. Lecture Notes in Computer Science - LNCS. 2025 ; 15594 233-243.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-031-87995-1_14
Trabalho de evento-anais periodico
Efficient simulation of non-uniform cellular automata with a convolutional neural network (2024)
Rollier, Michiel ; Daly, Aisling Jane ; Bruno, Odemir Martinez ; Baetens, Jan M.
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: Cellular Automata for Research and Industry - ACRI. Unidade: IFSC
Assuntos: FÍSICA COMPUTACIONAL, SIMULAÇÃO, REDES NEURAIS
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ROLLIER, Michiel et al. Efficient simulation of non-uniform cellular automata with a convolutional neural network. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-71552-5_11. Acesso em: 07 out. 2025. , 2024
APA
Rollier, M., Daly, A. J., Bruno, O. M., & Baetens, J. M. (2024). Efficient simulation of non-uniform cellular automata with a convolutional neural network. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Física de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-031-71552-5_11
NLM
Rollier M, Daly AJ, Bruno OM, Baetens JM. Efficient simulation of non-uniform cellular automata with a convolutional neural network [Internet]. Lecture Notes in Computer Science - LNCS. 2024 ; 14978 121-131.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-031-71552-5_11
Vancouver
Rollier M, Daly AJ, Bruno OM, Baetens JM. Efficient simulation of non-uniform cellular automata with a convolutional neural network [Internet]. Lecture Notes in Computer Science - LNCS. 2024 ; 14978 121-131.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-031-71552-5_11
Trabalho de evento-anais periodico
Integrating multi-FPGA acceleration to OpenMP distributed computing (2024)
Rosso, Pedro Henrique ; Petrica, Lucian ; Lisa, Nusrat Jahan ; Pereira, Márcio ; Rigo, Sandro ; Yviquel, Hervé ; Bonato, Vanderlei ; Francesquini, Emilio ; Araujo, Guido
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Workshop on OpenMP - IWOMP. Unidade: ICMC
Assuntos: COMPUTAÇÃO APLICADA, CLUSTERS, BENCHMARKS
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ROSSO, Pedro Henrique et al. Integrating multi-FPGA acceleration to OpenMP distributed computing. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-72567-8_4. Acesso em: 07 out. 2025. , 2024
APA
Rosso, P. H., Petrica, L., Lisa, N. J., Pereira, M., Rigo, S., Yviquel, H., et al. (2024). Integrating multi-FPGA acceleration to OpenMP distributed computing. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/978-3-031-72567-8_4
NLM
Rosso PH, Petrica L, Lisa NJ, Pereira M, Rigo S, Yviquel H, Bonato V, Francesquini E, Araujo G. Integrating multi-FPGA acceleration to OpenMP distributed computing [Internet]. Lecture Notes in Computer Science - LNCS. 2024 ; 15195 49-63.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-031-72567-8_4
Vancouver
Rosso PH, Petrica L, Lisa NJ, Pereira M, Rigo S, Yviquel H, Bonato V, Francesquini E, Araujo G. Integrating multi-FPGA acceleration to OpenMP distributed computing [Internet]. Lecture Notes in Computer Science - LNCS. 2024 ; 15195 49-63.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-031-72567-8_4
Trabalho de evento-anais periodico
Drowsiness detection using Vital sign sensors and deep learning on smartwatches (2024)
Pereira, Vitor Augusto da Rosa ; Berri, Rafael Alceste ; Osório, Fernando Santos
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, TRANSTORNOS DO SONO, PREDIÇÃO
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PEREIRA, Vitor Augusto da Rosa e BERRI, Rafael Alceste e OSÓRIO, Fernando Santos. Drowsiness detection using Vital sign sensors and deep learning on smartwatches. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-77731-8_12. Acesso em: 07 out. 2025. , 2024
APA
Pereira, V. A. da R., Berri, R. A., & Osório, F. S. (2024). Drowsiness detection using Vital sign sensors and deep learning on smartwatches. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/978-3-031-77731-8_12
NLM
Pereira VA da R, Berri RA, Osório FS. Drowsiness detection using Vital sign sensors and deep learning on smartwatches [Internet]. Lecture Notes in Computer Science - LNCS. 2024 ; 15346 121-132.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-031-77731-8_12
Vancouver
Pereira VA da R, Berri RA, Osório FS. Drowsiness detection using Vital sign sensors and deep learning on smartwatches [Internet]. Lecture Notes in Computer Science - LNCS. 2024 ; 15346 121-132.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-031-77731-8_12
Trabalho de evento-anais periodico
Active inference of EFSMs without reset (2023)
Foster, Michael ; Groz, Roland ; Oriat, Catherine ; Simão, Adenilso da Silva ; Vega, Germán ; Walkinshaw, Neil
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Conference on Formal Engineering Methods - ICFEM. Unidade: ICMC
Assuntos: ALGORITMOS ÚTEIS E ESPECÍFICOS, ENGENHARIA REVERSA DE SOFTWARE, INFERÊNCIA
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FOSTER, Michael et al. Active inference of EFSMs without reset. Lecture Notes in Computer Science - LNCS. Singapura: Springer. Disponível em: https://doi.org/10.1007/978-981-99-7584-6_3. Acesso em: 07 out. 2025. , 2023
APA
Foster, M., Groz, R., Oriat, C., Simão, A. da S., Vega, G., & Walkinshaw, N. (2023). Active inference of EFSMs without reset. Lecture Notes in Computer Science - LNCS. Singapura: Springer. doi:10.1007/978-981-99-7584-6_3
NLM
Foster M, Groz R, Oriat C, Simão A da S, Vega G, Walkinshaw N. Active inference of EFSMs without reset [Internet]. Lecture Notes in Computer Science - LNCS. 2023 ; 14308 29-46.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-981-99-7584-6_3
Vancouver
Foster M, Groz R, Oriat C, Simão A da S, Vega G, Walkinshaw N. Active inference of EFSMs without reset [Internet]. Lecture Notes in Computer Science - LNCS. 2023 ; 14308 29-46.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-981-99-7584-6_3
Trabalho de evento-anais periodico
Foundations and research agenda for simulation of smart ecosystems architectures (2022)
Graciano Neto, Valdemar Vicente ; Manzano, Wallace Alves Esteves ; Antonino, Pablo Oliveira ; Nakagawa, Elisa Yumi
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: European Conference Software Architecture - ECSA. Unidade: ICMC
Assuntos: SIMULAÇÃO, ARQUITETURA DE SOFTWARE, ENGENHARIA DE REQUISITOS
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GRACIANO NETO, Valdemar Vicente et al. Foundations and research agenda for simulation of smart ecosystems architectures. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-031-15116-3_15. Acesso em: 07 out. 2025. , 2022
APA
Graciano Neto, V. V., Manzano, W. A. E., Antonino, P. O., & Nakagawa, E. Y. (2022). Foundations and research agenda for simulation of smart ecosystems architectures. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1007/978-3-031-15116-3_15
NLM
Graciano Neto VV, Manzano WAE, Antonino PO, Nakagawa EY. Foundations and research agenda for simulation of smart ecosystems architectures [Internet]. Lecture Notes in Computer Science - LNCS. 2022 ; 13365 333-352.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-031-15116-3_15
Vancouver
Graciano Neto VV, Manzano WAE, Antonino PO, Nakagawa EY. Foundations and research agenda for simulation of smart ecosystems architectures [Internet]. Lecture Notes in Computer Science - LNCS. 2022 ; 13365 333-352.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-031-15116-3_15
Trabalho de evento-anais periodico
Deep topological embedding with convolutional neural networks for complex network classification (2022)
Scabini, Leonardo ; Ribas, Lucas Correia ; Ribeiro, Eraldo; Bruno, Odemir Martinez
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Winter Conference on Network Science - NetSci-X. Unidades: IFSC, ICMC
Assuntos: REDES COMPLEXAS, REDES NEURAIS
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SCABINI, Leonardo et al. Deep topological embedding with convolutional neural networks for complex network classification. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Física de São Carlos, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-030-97240-0_5. Acesso em: 07 out. 2025. , 2022
APA
Scabini, L., Ribas, L. C., Ribeiro, E., & Bruno, O. M. (2022). Deep topological embedding with convolutional neural networks for complex network classification. Lecture Notes in Computer Science - LNCS. Cham: Instituto de Física de São Carlos, Universidade de São Paulo. doi:10.1007/978-3-030-97240-0_5
NLM
Scabini L, Ribas LC, Ribeiro E, Bruno OM. Deep topological embedding with convolutional neural networks for complex network classification [Internet]. Lecture Notes in Computer Science - LNCS. 2022 ; 13197 54-66.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-97240-0_5
Vancouver
Scabini L, Ribas LC, Ribeiro E, Bruno OM. Deep topological embedding with convolutional neural networks for complex network classification [Internet]. Lecture Notes in Computer Science - LNCS. 2022 ; 13197 54-66.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-97240-0_5
Trabalho de evento-anais periodico
Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition (2021)
Miranda, Gisele Helena Barboni ; Baetens, Jan M. ; Daly, Aisling J. ; Bruno, Odemir Martinez ; Baets, Bernard De
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Conference on Cellular Automata for Research and Industry - ACRI. Unidades: IFSC, ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL
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MIRANDA, Gisele Helena Barboni et al. Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-69480-7_12. Acesso em: 07 out. 2025. , 2021
APA
Miranda, G. H. B., Baetens, J. M., Daly, A. J., Bruno, O. M., & Baets, B. D. (2021). Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-69480-7_12
NLM
Miranda GHB, Baetens JM, Daly AJ, Bruno OM, Baets BD. Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition [Internet]. Lecture Notes in Computer Science - LNCS. 2021 ; 12599 113-122.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-69480-7_12
Vancouver
Miranda GHB, Baetens JM, Daly AJ, Bruno OM, Baets BD. Influence of topology on the dynamics of in silico ecosystems with non-hierarchical competition [Internet]. Lecture Notes in Computer Science - LNCS. 2021 ; 12599 113-122.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-69480-7_12
Trabalho de evento-anais periodico
The impact of real rain in a vision task (2020)
Araujo, Iago Breno ; Tokuda, Eric Keiji ; César Júnior, Roberto Marcondes
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: European Conference on Computer Vision - ECCV. Unidades: IME, IFSC
Assuntos: VISÃO COMPUTACIONAL, CHUVA
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ARAUJO, Iago Breno e TOKUDA, Eric Keiji e CÉSAR JÚNIOR, Roberto Marcondes. The impact of real rain in a vision task. Lecture Notes in Computer Science - LNCS. Heidelberg: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/978-3-030-68238-5_21. Acesso em: 07 out. 2025. , 2020
APA
Araujo, I. B., Tokuda, E. K., & César Júnior, R. M. (2020). The impact of real rain in a vision task. Lecture Notes in Computer Science - LNCS. Heidelberg: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/978-3-030-68238-5_21
NLM
Araujo IB, Tokuda EK, César Júnior RM. The impact of real rain in a vision task [Internet]. Lecture Notes in Computer Science - LNCS. 2020 ; 12539 291-298.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-68238-5_21
Vancouver
Araujo IB, Tokuda EK, César Júnior RM. The impact of real rain in a vision task [Internet]. Lecture Notes in Computer Science - LNCS. 2020 ; 12539 291-298.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-68238-5_21
Trabalho de evento-anais periodico
Dynamic texture classification using deterministic partially self-avoiding walks on networks (2019)
Ribas, Lucas Correia ; Bruno, Odemir Martinez
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Conference on Image Analysis and Processing- ICIAP. Unidades: IFSC, ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL
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RIBAS, Lucas Correia e BRUNO, Odemir Martinez. Dynamic texture classification using deterministic partially self-avoiding walks on networks. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30642-7_8. Acesso em: 07 out. 2025. , 2019
APA
Ribas, L. C., & Bruno, O. M. (2019). Dynamic texture classification using deterministic partially self-avoiding walks on networks. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-30642-7_8
NLM
Ribas LC, Bruno OM. Dynamic texture classification using deterministic partially self-avoiding walks on networks [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11751 82-93.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-30642-7_8
Vancouver
Ribas LC, Bruno OM. Dynamic texture classification using deterministic partially self-avoiding walks on networks [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11751 82-93.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-30642-7_8
Trabalho de evento-anais periodico
Learning to reuse: adaptive model learning for evolving systems (2019)
Damasceno, Carlos Diego Nascimento ; Mousavi, Mohammad Reza ; Simão, Adenilso da Silva
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Conference on Integrated Formal Methods - IFM. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS, REÚSO DE SOFTWARE
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DAMASCENO, Carlos Diego Nascimento e MOUSAVI, Mohammad Reza e SIMÃO, Adenilso da Silva. Learning to reuse: adaptive model learning for evolving systems. Lecture Notes in Computer Science - LNCS. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-34968-4_8. Acesso em: 07 out. 2025. , 2019
APA
Damasceno, C. D. N., Mousavi, M. R., & Simão, A. da S. (2019). Learning to reuse: adaptive model learning for evolving systems. Lecture Notes in Computer Science - LNCS. Cham: Springer. doi:10.1007/978-3-030-34968-4_8
NLM
Damasceno CDN, Mousavi MR, Simão A da S. Learning to reuse: adaptive model learning for evolving systems [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11918 138-156.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-34968-4_8
Vancouver
Damasceno CDN, Mousavi MR, Simão A da S. Learning to reuse: adaptive model learning for evolving systems [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11918 138-156.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-34968-4_8
Trabalho de evento-anais periodico
Deep convolutional neural networks for plant species characterization based on leaf midrib (2019)
Scabini, Leonardo Felipe dos Santos; Condori, Rayner Harold Montes ; Munhoz, Isabella de Cassia Lima; Bruno, Odemir Martinez
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Conference on Computer Analysis of Images and Patterns - CAIP. Unidades: IFSC, ICMC, Interunidades em Bioinformática
Assuntos: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL
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SCABINI, Leonardo Felipe dos Santos et al. Deep convolutional neural networks for plant species characterization based on leaf midrib. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-29891-3_34. Acesso em: 07 out. 2025. , 2019
APA
Scabini, L. F. dos S., Condori, R. H. M., Munhoz, I. de C. L., & Bruno, O. M. (2019). Deep convolutional neural networks for plant species characterization based on leaf midrib. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-29891-3_34
NLM
Scabini LF dos S, Condori RHM, Munhoz I de CL, Bruno OM. Deep convolutional neural networks for plant species characterization based on leaf midrib [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11679 389-401.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-29891-3_34
Vancouver
Scabini LF dos S, Condori RHM, Munhoz I de CL, Bruno OM. Deep convolutional neural networks for plant species characterization based on leaf midrib [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11679 389-401.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-29891-3_34
Trabalho de evento-anais periodico
A web-based system to assess texture analysis methods and datasets (2019)
Farfan, Alex Josue Florez; Scabini, Leonardo Felipe dos Santos; Bruno, Odemir Martinez
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Conference on Computer Analysis of Images and Patterns - CAIP. Unidades: IFSC, ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL
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FARFAN, Alex Josue Florez e SCABINI, Leonardo Felipe dos Santos e BRUNO, Odemir Martinez. A web-based system to assess texture analysis methods and datasets. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-29891-3_37. Acesso em: 07 out. 2025. , 2019
APA
Farfan, A. J. F., Scabini, L. F. dos S., & Bruno, O. M. (2019). A web-based system to assess texture analysis methods and datasets. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-29891-3_37
NLM
Farfan AJF, Scabini LF dos S, Bruno OM. A web-based system to assess texture analysis methods and datasets [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11679 425-437.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-29891-3_37
Vancouver
Farfan AJF, Scabini LF dos S, Bruno OM. A web-based system to assess texture analysis methods and datasets [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11679 425-437.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-29891-3_37
Trabalho de evento-anais periodico
Bio-inspired optimization of test data generation for concurrent software (2019)
Vilela, Ricardo Ferreira; Pinto, Victor Hugo Santiago Costa ; Colanzi, Thelma Elita ; Souza, Simone do Rocio Senger de
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Symposium on Search Based Software Engineering - SSBSE. Unidade: ICMC
Assuntos: TESTE E AVALIAÇÃO DE SOFTWARE, PROGRAMAÇÃO CONCORRENTE, ALGORITMOS GENÉTICOS
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VILELA, Ricardo Ferreira et al. Bio-inspired optimization of test data generation for concurrent software. Lecture Notes in Computer Science - LNCS. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-27455-9_9. Acesso em: 07 out. 2025. , 2019
APA
Vilela, R. F., Pinto, V. H. S. C., Colanzi, T. E., & Souza, S. do R. S. de. (2019). Bio-inspired optimization of test data generation for concurrent software. Lecture Notes in Computer Science - LNCS. Cham: Springer. doi:10.1007/978-3-030-27455-9_9
NLM
Vilela RF, Pinto VHSC, Colanzi TE, Souza S do RS de. Bio-inspired optimization of test data generation for concurrent software [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11664 121-136.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-27455-9_9
Vancouver
Vilela RF, Pinto VHSC, Colanzi TE, Souza S do RS de. Bio-inspired optimization of test data generation for concurrent software [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11664 121-136.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-27455-9_9
Trabalho de evento-anais periodico
Deterministic partially self-avoiding walks on networks for natural shapes classification (2019)
Ribas, Lucas Correia ; Bruno, Odemir Martinez
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP. Unidades: IFSC, ICMC
Assuntos: 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 BRUNO, Odemir Martinez. Deterministic partially self-avoiding walks on networks for natural shapes classification. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-13469-3_51. Acesso em: 07 out. 2025. , 2019
APA
Ribas, L. C., & Bruno, O. M. (2019). Deterministic partially self-avoiding walks on networks for natural shapes classification. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-13469-3_51
NLM
Ribas LC, Bruno OM. Deterministic partially self-avoiding walks on networks for natural shapes classification [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11401 436-443.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_51
Vancouver
Ribas LC, Bruno OM. Deterministic partially self-avoiding walks on networks for natural shapes classification [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11401 436-443.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-13469-3_51
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
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Conference on Computer Analysis of Images and Patterns - CAIP. Unidades: IFSC, ICMC
Assuntos: 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: 07 out. 2025. , 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 2025 out. 07 ] 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 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-29888-3_11
Trabalho de evento-anais periodico
Evaluating deep convolutional neural networks as texture feature extractors (2019)
Scabini, Leonardo Felipe dos Santos; Condori, Rayner Harold Montes ; Ribas, Lucas Correia ; Bruno, Odemir Martinez
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Conference on Image Analysis and Processing- ICIAP. Unidades: IFSC, ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, VISÃO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SCABINI, Leonardo Felipe dos Santos et al. Evaluating deep convolutional neural networks as texture feature extractors. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-030-30645-8_18. Acesso em: 07 out. 2025. , 2019
APA
Scabini, L. F. dos S., Condori, R. H. M., Ribas, L. C., & Bruno, O. M. (2019). Evaluating deep convolutional neural networks as texture feature extractors. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-030-30645-8_18
NLM
Scabini LF dos S, Condori RHM, Ribas LC, Bruno OM. Evaluating deep convolutional neural networks as texture feature extractors [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11752 192-202.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-30645-8_18
Vancouver
Scabini LF dos S, Condori RHM, Ribas LC, Bruno OM. Evaluating deep convolutional neural networks as texture feature extractors [Internet]. Lecture Notes in Computer Science - LNCS. 2019 ; 11752 192-202.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-030-30645-8_18
Trabalho de evento-anais periodico
Randomized neural network based signature for classification of titanium alloy microstructures (2018)
Sá Junior, Jarbas Joaci de Mesquita; Backes, André R.; Bruno, Odemir Martinez
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP. Unidade: IFSC
Assuntos: RECONHECIMENTO DE PADRÕES, REDES NEURAIS, TITÂNIO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SÁ JUNIOR, Jarbas Joaci de Mesquita e BACKES, André R. e BRUNO, Odemir Martinez. Randomized neural network based signature for classification of titanium alloy microstructures. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-319-75193-1_80. Acesso em: 07 out. 2025. , 2018
APA
Sá Junior, J. J. de M., Backes, A. R., & Bruno, O. M. (2018). Randomized neural network based signature for classification of titanium alloy microstructures. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-319-75193-1_80
NLM
Sá Junior JJ de M, Backes AR, Bruno OM. Randomized neural network based signature for classification of titanium alloy microstructures [Internet]. Lecture Notes in Computer Science - LNCS. 2018 ; 10657 669-676.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-319-75193-1_80
Vancouver
Sá Junior JJ de M, Backes AR, Bruno OM. Randomized neural network based signature for classification of titanium alloy microstructures [Internet]. Lecture Notes in Computer Science - LNCS. 2018 ; 10657 669-676.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-319-75193-1_80
Trabalho de evento-anais periodico
Pap-smear image classification using randomized neural network based signature (2018)
Sá Junior, Jarbas Joaci de Mesquita; Backes, André R.; Bruno, Odemir Martinez
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP. Unidade: IFSC
Assuntos: PROCESSAMENTO DE IMAGENS, REDES NEURAIS, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SÁ JUNIOR, Jarbas Joaci de Mesquita e BACKES, André R. e BRUNO, Odemir Martinez. Pap-smear image classification using randomized neural network based signature. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-319-75193-1_81. Acesso em: 07 out. 2025. , 2018
APA
Sá Junior, J. J. de M., Backes, A. R., & Bruno, O. M. (2018). Pap-smear image classification using randomized neural network based signature. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-319-75193-1_81
NLM
Sá Junior JJ de M, Backes AR, Bruno OM. Pap-smear image classification using randomized neural network based signature [Internet]. Lecture Notes in Computer Science - LNCS. 2018 ; 10657 677-684.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-319-75193-1_81
Vancouver
Sá Junior JJ de M, Backes AR, Bruno OM. Pap-smear image classification using randomized neural network based signature [Internet]. Lecture Notes in Computer Science - LNCS. 2018 ; 10657 677-684.[citado 2025 out. 07 ] Available from: https://doi.org/10.1007/978-3-319-75193-1_81

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