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Artigo de periodico
TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese (2022)
Casanova, Edresson ; Candido Junior, Arnaldo ; Shulby, Christopher Dane ; Oliveira, Frederico Santos de ; Teixeira, João Paulo ; Ponti, Moacir Antonelli ; Aluísio, Sandra Maria
Source: Language Resources and Evaluation. Unidade: ICMC
Subjects: CORPUS, RECONHECIMENTO DE VOZ, APRENDIZADO COMPUTACIONAL, INTERFACE HOMEM-COMPUTADOR, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson et al. TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese. Language Resources and Evaluation, v. 56, n. 3, p. Se 2022, 2022Tradução . . Disponível em: https://doi.org/10.1007/s10579-021-09570-4. Acesso em: 04 nov. 2024.
APA
Casanova, E., Candido Junior, A., Shulby, C. D., Oliveira, F. S. de, Teixeira, J. P., Ponti, M. A., & Aluísio, S. M. (2022). TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese. Language Resources and Evaluation, 56( 3), Se 2022. doi:10.1007/s10579-021-09570-4
NLM
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Teixeira JP, Ponti MA, Aluísio SM. TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 3): Se 2022.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s10579-021-09570-4
Vancouver
Casanova E, Candido Junior A, Shulby CD, Oliveira FS de, Teixeira JP, Ponti MA, Aluísio SM. TTS-portuguese corpus: a corpus for speech synthesis in brazilian portuguese [Internet]. Language Resources and Evaluation. 2022 ; 56( 3): Se 2022.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s10579-021-09570-4
Artigo de periodico
Robust image features for classification and zero-shot tasks by merging visual and semantic attributes (2022)
Resende, Damares Crystina Oliveira de ; Ponti, Moacir Antonelli
Source: Neural Computing and Applications. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RESENDE, Damares Crystina Oliveira de e PONTI, Moacir Antonelli. Robust image features for classification and zero-shot tasks by merging visual and semantic attributes. Neural Computing and Applications, v. 34, n. 6, p. 4459-4471, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00521-021-06601-7. Acesso em: 04 nov. 2024.
APA
Resende, D. C. O. de, & Ponti, M. A. (2022). Robust image features for classification and zero-shot tasks by merging visual and semantic attributes. Neural Computing and Applications, 34( 6), 4459-4471. doi:10.1007/s00521-021-06601-7
NLM
Resende DCO de, Ponti MA. Robust image features for classification and zero-shot tasks by merging visual and semantic attributes [Internet]. Neural Computing and Applications. 2022 ; 34( 6): 4459-4471.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s00521-021-06601-7
Vancouver
Resende DCO de, Ponti MA. Robust image features for classification and zero-shot tasks by merging visual and semantic attributes [Internet]. Neural Computing and Applications. 2022 ; 34( 6): 4459-4471.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s00521-021-06601-7
Artigo de periodico
Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections (2019)
Ponti, Moacir Antonelli ; Costa, Gabriel B. Paranhos da; Santos, Fernando Pereira dos ; Silveira, Kaue U
Source: Applied Soft Computing. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, ALGORITMOS PARA IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PONTI, Moacir Antonelli et al. Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections. Applied Soft Computing, v. 80, p. 414-424, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.asoc.2019.04.013. Acesso em: 04 nov. 2024.
APA
Ponti, M. A., Costa, G. B. P. da, Santos, F. P. dos, & Silveira, K. U. (2019). Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections. Applied Soft Computing, 80, 414-424. doi:10.1016/j.asoc.2019.04.013
NLM
Ponti MA, Costa GBP da, Santos FP dos, Silveira KU. Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections [Internet]. Applied Soft Computing. 2019 ; 80 414-424.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.asoc.2019.04.013
Vancouver
Ponti MA, Costa GBP da, Santos FP dos, Silveira KU. Supervised and unsupervised relevance sampling in handcrafted and deep learning features obtained from image collections [Internet]. Applied Soft Computing. 2019 ; 80 414-424.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.asoc.2019.04.013
Artigo de periodico
Generalization of feature embeddings transferred from different video anomaly detection domains (2019)
Santos, Fernando Pereira dos ; Ribeiro, Leonardo S. F; Ponti, Moacir Antonelli
Source: Journal of Visual Communication and Image Representation. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, VÍDEO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Fernando Pereira dos e RIBEIRO, Leonardo S. F e PONTI, Moacir Antonelli. Generalization of feature embeddings transferred from different video anomaly detection domains. Journal of Visual Communication and Image Representation, v. 60, p. 407-416, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.jvcir.2019.02.035. Acesso em: 04 nov. 2024.
APA
Santos, F. P. dos, Ribeiro, L. S. F., & Ponti, M. A. (2019). Generalization of feature embeddings transferred from different video anomaly detection domains. Journal of Visual Communication and Image Representation, 60, 407-416. doi:10.1016/j.jvcir.2019.02.035
NLM
Santos FP dos, Ribeiro LSF, Ponti MA. Generalization of feature embeddings transferred from different video anomaly detection domains [Internet]. Journal of Visual Communication and Image Representation. 2019 ; 60 407-416.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.jvcir.2019.02.035
Vancouver
Santos FP dos, Ribeiro LSF, Ponti MA. Generalization of feature embeddings transferred from different video anomaly detection domains [Internet]. Journal of Visual Communication and Image Representation. 2019 ; 60 407-416.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.jvcir.2019.02.035
Artigo de periodico
Accelerometry data analysis for identification of fallers using the six-minute walk test (2019)
Bet, Patricia ; Castro, Paula Costa ; Chagas, Marcos Hortes Nisihara ; Ponti, Moacir Antonelli
Source: Biomedical Physics & Engineering Express. Unidades: ICMC, BIOENGENHARIA
Subjects: PROCESSAMENTO DE SINAIS, RECONHECIMENTO DE PADRÕES, IDOSOS, MARCHA (LOCOMOÇÃO)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BET, Patricia et al. Accelerometry data analysis for identification of fallers using the six-minute walk test. Biomedical Physics & Engineering Express, v. 5, n. 6, p. 1-9, 2019Tradução . . Disponível em: https://doi.org/10.1088/2057-1976/ab43d4. Acesso em: 04 nov. 2024.
APA
Bet, P., Castro, P. C., Chagas, M. H. N., & Ponti, M. A. (2019). Accelerometry data analysis for identification of fallers using the six-minute walk test. Biomedical Physics & Engineering Express, 5( 6), 1-9. doi:10.1088/2057-1976/ab43d4
NLM
Bet P, Castro PC, Chagas MHN, Ponti MA. Accelerometry data analysis for identification of fallers using the six-minute walk test [Internet]. Biomedical Physics & Engineering Express. 2019 ; 5( 6): 1-9.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1088/2057-1976/ab43d4
Vancouver
Bet P, Castro PC, Chagas MHN, Ponti MA. Accelerometry data analysis for identification of fallers using the six-minute walk test [Internet]. Biomedical Physics & Engineering Express. 2019 ; 5( 6): 1-9.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1088/2057-1976/ab43d4
Artigo de periodico
Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression (2018)
Bui, Tu; Ribeiro, Leonardo; Ponti, Moacir Antonelli ; Collomosse, John
Source: Computers & Graphics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, RECUPERAÇÃO DA INFORMAÇÃO, BENCHMARKS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUI, Tu et al. Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression. Computers & Graphics, v. 71, p. 77-87, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2017.12.006. Acesso em: 04 nov. 2024.
APA
Bui, T., Ribeiro, L., Ponti, M. A., & Collomosse, J. (2018). Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression. Computers & Graphics, 71, 77-87. doi:10.1016/j.cag.2017.12.006
NLM
Bui T, Ribeiro L, Ponti MA, Collomosse J. Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression [Internet]. Computers & Graphics. 2018 ; 71 77-87.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.cag.2017.12.006
Vancouver
Bui T, Ribeiro L, Ponti MA, Collomosse J. Sketching out the details: sketch-based image retrieval using convolutional neural networks with multi-stage regression [Internet]. Computers & Graphics. 2018 ; 71 77-87.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.cag.2017.12.006
Artigo de periodico
Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network (2017)
Bui, T; Ribeiro, L; Ponti, Moacir Antonelli ; Collomosse, J
Source: Computer Vision and Image Understanding. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, APRENDIZADO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUI, T et al. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. Computer Vision and Image Understanding, v. No 2017, p. 27-37, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.cviu.2017.06.007. Acesso em: 04 nov. 2024.
APA
Bui, T., Ribeiro, L., Ponti, M. A., & Collomosse, J. (2017). Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. Computer Vision and Image Understanding, No 2017, 27-37. doi:10.1016/j.cviu.2017.06.007
NLM
Bui T, Ribeiro L, Ponti MA, Collomosse J. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network [Internet]. Computer Vision and Image Understanding. 2017 ; No 2017 27-37.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.cviu.2017.06.007
Vancouver
Bui T, Ribeiro L, Ponti MA, Collomosse J. Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network [Internet]. Computer Vision and Image Understanding. 2017 ; No 2017 27-37.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1016/j.cviu.2017.06.007

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