ReP USP - Resultado da busca

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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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 nov. 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 nov. 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 nov. 07 ] Available from: https://doi.org/10.1007/978-3-031-71552-5_11
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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 nov. 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 nov. 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 nov. 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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 nov. 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 nov. 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 nov. 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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 nov. 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 nov. 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 nov. 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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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 nov. 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 nov. 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 nov. 07 ] Available from: https://doi.org/10.1007/978-3-030-30642-7_8
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
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 nov. 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 nov. 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 nov. 07 ] Available from: https://doi.org/10.1007/978-3-030-29891-3_37
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 nov. 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 nov. 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 nov. 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 nov. 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 nov. 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 nov. 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 nov. 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 nov. 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 nov. 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 nov. 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 nov. 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 nov. 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 nov. 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 nov. 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 nov. 07 ] Available from: https://doi.org/10.1007/978-3-319-75193-1_81
Trabalho de evento-anais periodico
Analysis of electroreception with temporal code-driven stimulation (2017)
Lareo, Ángel; Forlim, Caroline Garcia; Pinto, Reynaldo Daniel ; Varona, Pablo; Rodríguez, Francisco B.
Fonte: Lecture Notes in Computer Science - LNCS. Nome do evento: International Work-Conference on Artificial Neural Networks, IWANN. Unidade: IFSC
Assuntos: NEUROCIÊNCIAS, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LAREO, Ángel et al. Analysis of electroreception with temporal code-driven stimulation. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. Disponível em: https://doi.org/10.1007/978-3-319-59153-7_9. Acesso em: 07 nov. 2025. , 2017
APA
Lareo, Á., Forlim, C. G., Pinto, R. D., Varona, P., & Rodríguez, F. B. (2017). Analysis of electroreception with temporal code-driven stimulation. Lecture Notes in Computer Science - LNCS. Heidelberg: Springer. doi:10.1007/978-3-319-59153-7_9
NLM
Lareo Á, Forlim CG, Pinto RD, Varona P, Rodríguez FB. Analysis of electroreception with temporal code-driven stimulation [Internet]. Lecture Notes in Computer Science - LNCS. 2017 ; 10305 101-111.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-319-59153-7_9
Vancouver
Lareo Á, Forlim CG, Pinto RD, Varona P, Rodríguez FB. Analysis of electroreception with temporal code-driven stimulation [Internet]. Lecture Notes in Computer Science - LNCS. 2017 ; 10305 101-111.[citado 2025 nov. 07 ] Available from: https://doi.org/10.1007/978-3-319-59153-7_9

Unidades USP

ReP

Filtros

Autores

Autores USP

Ano de publicação

Assuntos

Nome do evento

Grupo de pesquisa

Agência de fomento

Afiliação dos autores externos não normalizada

País das instituições de afiliação dos autores externos