ReP USP - Resultado da busca

Trabalho de evento-anais periodico
A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection (2025)
Freire, Daniela Lopes ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Peterlevitz, Augusto José ; Chinelatto, Mateus Antonio ; Silva, Ricardo Dutra da ; Perea, Juan Fernando Rojas
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, LINHAS AÉREAS DE TRANSMISSÃO DE ENERGIA ELÉTRICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FREIRE, Daniela Lopes et al. A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-77738-7_31. Acesso em: 06 jul. 2025. , 2025
APA
Freire, D. L., Carvalho, A. C. P. de L. F. de, Peterlevitz, A. J., Chinelatto, M. A., Silva, R. D. da, & Perea, J. F. R. (2025). A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-77738-7_31
NLM
Freire DL, Carvalho ACP de LF de, Peterlevitz AJ, Chinelatto MA, Silva RD da, Perea JFR. A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection [Internet]. Lecture Notes in Computer Science. 2025 ; 15347 373-385.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-77738-7_31
Vancouver
Freire DL, Carvalho ACP de LF de, Peterlevitz AJ, Chinelatto MA, Silva RD da, Perea JFR. A methodology for automated conversion of axis-aligned to polygonal and oriented bounding box annotations in aerial imagery object detection [Internet]. Lecture Notes in Computer Science. 2025 ; 15347 373-385.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-77738-7_31
Trabalho de evento-anais periodico
Enhancing explainability in oral cancer detection with Grad-CAM visualizations (2024)
Silva, Arnaldo Vitor Barros da ; Saldivia-Siracusa, Cristina ; Souza, Eduardo Santos Carlos de ; Araujo, Anna Luiza Damaceno ; Lopes, Márcio Ajudarte ; Vargas, Pablo Agustin ; Kowalski, Luiz Paulo ; Santos-Silva, Alan Roger dos ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Quiles, Marcos Gonçalves
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science and its Applications - ICCSA. Unidades: FM, ICMC
Assuntos: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR IMAGEM, TECNOLOGIAS DA SAÚDE, NEOPLASIAS BUCAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SILVA, Arnaldo Vitor Barros da et al. Enhancing explainability in oral cancer detection with Grad-CAM visualizations. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-64605-8_11. Acesso em: 06 jul. 2025. , 2024
APA
Silva, A. V. B. da, Saldivia-Siracusa, C., Souza, E. S. C. de, Araujo, A. L. D., Lopes, M. A., Vargas, P. A., et al. (2024). Enhancing explainability in oral cancer detection with Grad-CAM visualizations. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-64605-8_11
NLM
Silva AVB da, Saldivia-Siracusa C, Souza ESC de, Araujo ALD, Lopes MA, Vargas PA, Kowalski LP, Santos-Silva AR dos, Carvalho ACP de LF de, Quiles MG. Enhancing explainability in oral cancer detection with Grad-CAM visualizations [Internet]. Lecture Notes in Computer Science. 2024 ; 14813 151-164.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-64605-8_11
Vancouver
Silva AVB da, Saldivia-Siracusa C, Souza ESC de, Araujo ALD, Lopes MA, Vargas PA, Kowalski LP, Santos-Silva AR dos, Carvalho ACP de LF de, Quiles MG. Enhancing explainability in oral cancer detection with Grad-CAM visualizations [Internet]. Lecture Notes in Computer Science. 2024 ; 14813 151-164.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-64605-8_11
Trabalho de evento-anais periodico
DIF-SR: a differential item functioning-based sample reweighting method (2024)
Minatel, Diego ; Parmezan, Antonio Rafael Sabino ; Cúri, Mariana ; Lopes, Alneu de Andrade
Fonte: Lecture Notes in Computer Science. Nome do evento: Iberoamerican Congress on Pattern Recognition - CIARP. Unidade: ICMC
Assuntos: TEORIA DE RESPOSTA AO ITEM, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MINATEL, Diego et al. DIF-SR: a differential item functioning-based sample reweighting method. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-49018-7_45. Acesso em: 06 jul. 2025. , 2024
APA
Minatel, D., Parmezan, A. R. S., Cúri, M., & Lopes, A. de A. (2024). DIF-SR: a differential item functioning-based sample reweighting method. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-49018-7_45
NLM
Minatel D, Parmezan ARS, Cúri M, Lopes A de A. DIF-SR: a differential item functioning-based sample reweighting method [Internet]. Lecture Notes in Computer Science. 2024 ; 14469 630-645.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_45
Vancouver
Minatel D, Parmezan ARS, Cúri M, Lopes A de A. DIF-SR: a differential item functioning-based sample reweighting method [Internet]. Lecture Notes in Computer Science. 2024 ; 14469 630-645.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-49018-7_45
Trabalho de evento-anais periodico
Applying LSTM recurrent neural networks to predict revenue (2024)
Cardoso, Luis Eduardo Pelin ; Carvalho, Andre Carlos Ponce de Leon Ferreira de ; Quiles, Marcos Gonçalves
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computational Science and its Applications - ICCSA. Unidade: ICMC
Assuntos: PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), REDES NEURAIS, PREVISÃO DE VENDAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CARDOSO, Luis Eduardo Pelin e CARVALHO, Andre Carlos Ponce de Leon Ferreira de e QUILES, Marcos Gonçalves. Applying LSTM recurrent neural networks to predict revenue. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-64608-9_13. Acesso em: 06 jul. 2025. , 2024
APA
Cardoso, L. E. P., Carvalho, A. C. P. de L. F. de, & Quiles, M. G. (2024). Applying LSTM recurrent neural networks to predict revenue. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-64608-9_13
NLM
Cardoso LEP, Carvalho ACP de LF de, Quiles MG. Applying LSTM recurrent neural networks to predict revenue [Internet]. Lecture Notes in Computer Science. 2024 ; 14814 198-212.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-64608-9_13
Vancouver
Cardoso LEP, Carvalho ACP de LF de, Quiles MG. Applying LSTM recurrent neural networks to predict revenue [Internet]. Lecture Notes in Computer Science. 2024 ; 14814 198-212.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-031-64608-9_13
Trabalho de evento-anais periodico
Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes (2021)
Ienco, Dino ; Pereira-Santos, Davi; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Artificial Neural Networks - ICANN. Unidade: ICMC
Assuntos: ANÁLISE DE SÉRIES TEMPORAIS, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
IENCO, Dino e PEREIRA-SANTOS, Davi e CARVALHO, André Carlos Ponce de Leon Ferreira de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-86383-8_10. Acesso em: 06 jul. 2025. , 2021
APA
Ienco, D., Pereira-Santos, D., & Carvalho, A. C. P. de L. F. de. (2021). Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-86383-8_10
NLM
Ienco D, Pereira-Santos D, Carvalho ACP de LF de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes [Internet]. Lecture Notes in Computer Science. 2021 ; 12895 126-137.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-86383-8_10
Vancouver
Ienco D, Pereira-Santos D, Carvalho ACP de LF de. Evaluate pseudo labeling and CNN for multi-variate time series classification in low-data regimes [Internet]. Lecture Notes in Computer Science. 2021 ; 12895 126-137.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-86383-8_10
Trabalho de evento-anais periodico
Time-series in hyper-parameter initialization of machine learning techniques (2021)
Horváth, Tomás ; Mantovani, Rafael Gomes ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Intelligent Data Engineering and Automated Learning - IDEAL. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, COMPONENTES PRINCIPAIS, ANÁLISE DE SÉRIES TEMPORAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HORVÁTH, Tomás e MANTOVANI, Rafael Gomes e CARVALHO, André Carlos Ponce de Leon Ferreira de. Time-series in hyper-parameter initialization of machine learning techniques. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-91608-4_25. Acesso em: 06 jul. 2025. , 2021
APA
Horváth, T., Mantovani, R. G., & Carvalho, A. C. P. de L. F. de. (2021). Time-series in hyper-parameter initialization of machine learning techniques. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-91608-4_25
NLM
Horváth T, Mantovani RG, Carvalho ACP de LF de. Time-series in hyper-parameter initialization of machine learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13113 246-258.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-91608-4_25
Vancouver
Horváth T, Mantovani RG, Carvalho ACP de LF de. Time-series in hyper-parameter initialization of machine learning techniques [Internet]. Lecture Notes in Computer Science. 2021 ; 13113 246-258.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-91608-4_25
Trabalho de evento-anais periodico
A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems (2021)
Contreras, Rodrigo Colnago ; Nonato, Luis Gustavo ; Boaventura, Maurílio ; Boaventura, Ines Aparecida Gasparotto ; Coelho, Bruno Gomes ; Viana, Monique Simplicio
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Artificial Intelligence and Soft Computing - ICAISC. Unidade: ICMC
Assuntos: DATILOSCOPIA, RECONHECIMENTO DE PADRÕES, PROCESSAMENTO DE SINAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONTRERAS, Rodrigo Colnago et al. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-87897-9_39. Acesso em: 06 jul. 2025. , 2021
APA
Contreras, R. C., Nonato, L. G., Boaventura, M., Boaventura, I. A. G., Coelho, B. G., & Viana, M. S. (2021). A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-87897-9_39
NLM
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39
Vancouver
Contreras RC, Nonato LG, Boaventura M, Boaventura IAG, Coelho BG, Viana MS. A new multi-filter framework with statistical dense SIFT descriptor for spoofing detection in fingerprint authentication systems [Internet]. Lecture Notes in Computer Science. 2021 ; 12855 442-455.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-87897-9_39
Trabalho de evento-anais periodico
A study of the correlation of metafeatures used for metalearning (2021)
Rivolli, Adriano ; Garcia, Luís Paulo Faina ; Lorena, Ana Carolina ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Work-Conference on Artificial Neural Networks - IWANN. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, ALGORITMOS ÚTEIS E ESPECÍFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIVOLLI, Adriano et al. A study of the correlation of metafeatures used for metalearning. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-85030-2_39. Acesso em: 06 jul. 2025. , 2021
APA
Rivolli, A., Garcia, L. P. F., Lorena, A. C., & Carvalho, A. C. P. de L. F. de. (2021). A study of the correlation of metafeatures used for metalearning. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-85030-2_39
NLM
Rivolli A, Garcia LPF, Lorena AC, Carvalho ACP de LF de. A study of the correlation of metafeatures used for metalearning [Internet]. Lecture Notes in Computer Science. 2021 ; 12861 471-483.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-85030-2_39
Vancouver
Rivolli A, Garcia LPF, Lorena AC, Carvalho ACP de LF de. A study of the correlation of metafeatures used for metalearning [Internet]. Lecture Notes in Computer Science. 2021 ; 12861 471-483.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-85030-2_39
Trabalho de evento-anais periodico
Multi-objective basic variable neighborhood search for portfolio selection (2020)
Queiroz, Thiago Alves de ; Mundim, Leandro Resende ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Variable Neighborhood Search - ICVNS. Unidade: ICMC
Assuntos: RECONHECIMENTO DE PADRÕES, HEURÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
QUEIROZ, Thiago Alves de e MUNDIM, Leandro Resende e CARVALHO, André Carlos Ponce de Leon Ferreira de. Multi-objective basic variable neighborhood search for portfolio selection. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-44932-2_5. Acesso em: 06 jul. 2025. , 2020
APA
Queiroz, T. A. de, Mundim, L. R., & Carvalho, A. C. P. de L. F. de. (2020). Multi-objective basic variable neighborhood search for portfolio selection. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-030-44932-2_5
NLM
Queiroz TA de, Mundim LR, Carvalho ACP de LF de. Multi-objective basic variable neighborhood search for portfolio selection [Internet]. Lecture Notes in Computer Science. 2020 ; 12010 67–80.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-44932-2_5
Vancouver
Queiroz TA de, Mundim LR, Carvalho ACP de LF de. Multi-objective basic variable neighborhood search for portfolio selection [Internet]. Lecture Notes in Computer Science. 2020 ; 12010 67–80.[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-030-44932-2_5
Trabalho de evento-anais periodico
Interactive image colorization using laplacian coordinates (2015)
Casaca, Wallace; Colnago, Marilaine; Nonato, Luis Gustavo
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference on Computer Analysis of Images and Patterns - CAIP. Unidade: ICMC
Assuntos: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, GEOMETRIA COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASACA, Wallace e COLNAGO, Marilaine e NONATO, Luis Gustavo. Interactive image colorization using laplacian coordinates. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-319-23117-4_58. Acesso em: 06 jul. 2025. , 2015
APA
Casaca, W., Colnago, M., & Nonato, L. G. (2015). Interactive image colorization using laplacian coordinates. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-319-23117-4_58
NLM
Casaca W, Colnago M, Nonato LG. Interactive image colorization using laplacian coordinates [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-319-23117-4_58
Vancouver
Casaca W, Colnago M, Nonato LG. Interactive image colorization using laplacian coordinates [Internet]. Lecture Notes in Computer Science. 2015 ;[citado 2025 jul. 06 ] Available from: https://doi.org/10.1007/978-3-319-23117-4_58
Trabalho de evento-anais periodico
Consensus clustering using spectral theory (2009)
Nascimento, Mariá Cristina Vasconcelos; Toledo, Franklina Maria Bragion de ; Carvalho, André Carlos Ponce de Leon Ferreira de
Fonte: Lecture Notes in Computer Science. Nome do evento: International Conference - ICONIP 2008. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NASCIMENTO, Mariá Cristina Vasconcelos e TOLEDO, Franklina Maria Bragion de e CARVALHO, André Carlos Ponce de Leon Ferreira de. Consensus clustering using spectral theory. Lecture Notes in Computer Science. Heidelberg: Springer. Disponível em: http://www.springerlink.com/content/x21m71032jx80438. Acesso em: 06 jul. 2025. , 2009
APA
Nascimento, M. C. V., Toledo, F. M. B. de, & Carvalho, A. C. P. de L. F. de. (2009). Consensus clustering using spectral theory. Lecture Notes in Computer Science. Heidelberg: Springer. Recuperado de http://www.springerlink.com/content/x21m71032jx80438
NLM
Nascimento MCV, Toledo FMB de, Carvalho ACP de LF de. Consensus clustering using spectral theory [Internet]. Lecture Notes in Computer Science. 2009 ; 5506 461-468.[citado 2025 jul. 06 ] Available from: http://www.springerlink.com/content/x21m71032jx80438
Vancouver
Nascimento MCV, Toledo FMB de, Carvalho ACP de LF de. Consensus clustering using spectral theory [Internet]. Lecture Notes in Computer Science. 2009 ; 5506 461-468.[citado 2025 jul. 06 ] Available from: http://www.springerlink.com/content/x21m71032jx80438

Unidades USP

ReP

Bem vindo,

Filtros

Autores

Autores USP

Ano de publicação

Assuntos

Nome do evento

Agência de fomento

Afiliação dos autores externos não normalizada