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Artigo de periodico
Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images (2024)
Soares, Victor Hugo Andrade ; Ponti, Moacir Antonelli ; Campello, Ricardo José Gabrielli Barreto
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, AERONAVES NÃO TRIPULADAS, PECUÁRIA, AGRICULTURA DE PRECISÃO
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ABNT
SOARES, Victor Hugo Andrade e PONTI, Moacir Antonelli e CAMPELLO, Ricardo José Gabrielli Barreto. Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images. Computers and Electronics in Agriculture, v. 220, p. 1-18, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2024.108828. Acesso em: 14 nov. 2024.
APA
Soares, V. H. A., Ponti, M. A., & Campello, R. J. G. B. (2024). Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images. Computers and Electronics in Agriculture, 220, 1-18. doi:10.1016/j.compag.2024.108828
NLM
Soares VHA, Ponti MA, Campello RJGB. Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images [Internet]. Computers and Electronics in Agriculture. 2024 ; 220 1-18.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.compag.2024.108828
Vancouver
Soares VHA, Ponti MA, Campello RJGB. Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images [Internet]. Computers and Electronics in Agriculture. 2024 ; 220 1-18.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.compag.2024.108828
Trabalho de evento
Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets (2024)
Matos, Ariadne Nascimento ; Araújo, Gustavo Evangelista; Candido Junior, Arnaldo ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: SÍNTESE DE FALA, PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, PROSÓDIA, PORTUGUÊS DO BRASIL
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MATOS, Ariadne Nascimento et al. Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.37. Acesso em: 14 nov. 2024.
APA
Matos, A. N., Araújo, G. E., Candido Junior, A., & Ponti, M. A. (2024). Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.37
NLM
Matos AN, Araújo GE, Candido Junior A, Ponti MA. Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets [Internet]. Proceedings. 2024 ;[citado 2024 nov. 14 ] Available from: https://aclanthology.org/2024.propor-1.37
Vancouver
Matos AN, Araújo GE, Candido Junior A, Ponti MA. Accent classification is challenging but pre-training helps: a case study with novel brazilian portuguese datasets [Internet]. Proceedings. 2024 ;[citado 2024 nov. 14 ] Available from: https://aclanthology.org/2024.propor-1.37
Trabalho de evento
TTS applied to the generation of datasets for automatic speech recognition (2024)
Casanova, Edresson ; Aluísio, Sandra Maria ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: ICMC
Subjects: RECONHECIMENTO DA FALA, APRENDIZAGEM PROFUNDA, PORTUGUÊS DO BRASIL
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CASANOVA, Edresson e ALUÍSIO, Sandra Maria e PONTI, Moacir Antonelli. TTS applied to the generation of datasets for automatic speech recognition. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.73. Acesso em: 14 nov. 2024.
APA
Casanova, E., Aluísio, S. M., & Ponti, M. A. (2024). TTS applied to the generation of datasets for automatic speech recognition. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.73
NLM
Casanova E, Aluísio SM, Ponti MA. TTS applied to the generation of datasets for automatic speech recognition [Internet]. Proceedings. 2024 ;[citado 2024 nov. 14 ] Available from: https://aclanthology.org/2024.propor-1.73
Vancouver
Casanova E, Aluísio SM, Ponti MA. TTS applied to the generation of datasets for automatic speech recognition [Internet]. Proceedings. 2024 ;[citado 2024 nov. 14 ] Available from: https://aclanthology.org/2024.propor-1.73
Trabalho de evento
Decoupling decision-making in fraud prevention through classifier calibration for business logic action (2024)
Luzio, Emanuele; Ponti, Moacir Antonelli; Ramirez Arevalo, Christian; Argerich, Luis
Source: Proceedings. Conference titles: ACM/SIGAPP Symposium on Applied Computing - SAC. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, FRAUDE NO COMÉRCIO E NA INDÚSTRIA, MÉTODOS PROBABILÍSTICOS
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LUZIO, Emanuele et al. Decoupling decision-making in fraud prevention through classifier calibration for business logic action. 2024, Anais.. New York: ACM, 2024. Disponível em: https://doi.org/10.1145/3605098.3636089. Acesso em: 14 nov. 2024.
APA
Luzio, E., Ponti, M. A., Ramirez Arevalo, C., & Argerich, L. (2024). Decoupling decision-making in fraud prevention through classifier calibration for business logic action. In Proceedings. New York: ACM. doi:10.1145/3605098.3636089
NLM
Luzio E, Ponti MA, Ramirez Arevalo C, Argerich L. Decoupling decision-making in fraud prevention through classifier calibration for business logic action [Internet]. Proceedings. 2024 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/3605098.3636089
Vancouver
Luzio E, Ponti MA, Ramirez Arevalo C, Argerich L. Decoupling decision-making in fraud prevention through classifier calibration for business logic action [Internet]. Proceedings. 2024 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1145/3605098.3636089
Artigo de periodico
Timed Up and Go: seconds or acceleration to measure mobility in healthy older people? (2024)
Costa, Giovana Fondato; Bet, Patricia; Ponti, Moacir Antonelli; Castro, Paula Costa
Source: Estudos Interdisciplinares sobre o Envelhecimento. Unidades: ICMC, BIOENGENHARIA, EACH
Subjects: PROCESSAMENTO DE SINAIS, TECNOLOGIAS DA SAÚDE, IDOSOS
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COSTA, Giovana Fondato et al. Timed Up and Go: seconds or acceleration to measure mobility in healthy older people?. Estudos Interdisciplinares sobre o Envelhecimento, v. 29, p. 1-7, 2024Tradução . . Disponível em: https://doi.org/10.22456/2316-2171.142733. Acesso em: 14 nov. 2024.
APA
Costa, G. F., Bet, P., Ponti, M. A., & Castro, P. C. (2024). Timed Up and Go: seconds or acceleration to measure mobility in healthy older people? Estudos Interdisciplinares sobre o Envelhecimento, 29, 1-7. doi:10.22456/2316-2171.142733
NLM
Costa GF, Bet P, Ponti MA, Castro PC. Timed Up and Go: seconds or acceleration to measure mobility in healthy older people? [Internet]. Estudos Interdisciplinares sobre o Envelhecimento. 2024 ; 29 1-7.[citado 2024 nov. 14 ] Available from: https://doi.org/10.22456/2316-2171.142733
Vancouver
Costa GF, Bet P, Ponti MA, Castro PC. Timed Up and Go: seconds or acceleration to measure mobility in healthy older people? [Internet]. Estudos Interdisciplinares sobre o Envelhecimento. 2024 ; 29 1-7.[citado 2024 nov. 14 ] Available from: https://doi.org/10.22456/2316-2171.142733
Trabalho de evento
A cross-dataset study on the Brazilian Sign Language translation (2023)
Sarmento, Amanda Hellen de Avellar; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: IEEE/CVF International Conference on Computer Vision Workshops - ICCVW. Unidade: ICMC
Subjects: APRENDIZAGEM PROFUNDA, RECONHECIMENTO DE IMAGEM, TRADUÇÃO AUTOMÁTICA, LÍNGUA BRASILEIRA DE SINAIS
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ABNT
SARMENTO, Amanda Hellen de Avellar e PONTI, Moacir Antonelli. A cross-dataset study on the Brazilian Sign Language translation. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICCVW60793.2023.00300. Acesso em: 14 nov. 2024.
APA
Sarmento, A. H. de A., & Ponti, M. A. (2023). A cross-dataset study on the Brazilian Sign Language translation. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICCVW60793.2023.00300
NLM
Sarmento AH de A, Ponti MA. A cross-dataset study on the Brazilian Sign Language translation [Internet]. Proceedings. 2023 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/ICCVW60793.2023.00300
Vancouver
Sarmento AH de A, Ponti MA. A cross-dataset study on the Brazilian Sign Language translation [Internet]. Proceedings. 2023 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/ICCVW60793.2023.00300
Artigo de periodico
Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task (2023)
Ribeiro, Leo Sampaio Ferraz ; Bui, Tu ; Collomosse, John ; Ponti, Moacir Antonelli
Source: Multimedia Tools and Applications. Unidade: ICMC
Subjects: RECUPERAÇÃO DA INFORMAÇÃO, RECONHECIMENTO DE IMAGEM, REDES NEURAIS, APRENDIZADO COMPUTACIONAL
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ABNT
RIBEIRO, Leo Sampaio Ferraz et al. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. Multimedia Tools and Applications, v. 82, n. 24, p. 38117-38139, 2023Tradução . . Disponível em: https://doi.org/10.1007/s11042-022-14282-0. Acesso em: 14 nov. 2024.
APA
Ribeiro, L. S. F., Bui, T., Collomosse, J., & Ponti, M. A. (2023). Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task. Multimedia Tools and Applications, 82( 24), 38117-38139. doi:10.1007/s11042-022-14282-0
NLM
Ribeiro LSF, Bui T, Collomosse J, Ponti MA. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task [Internet]. Multimedia Tools and Applications. 2023 ; 82( 24): 38117-38139.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11042-022-14282-0
Vancouver
Ribeiro LSF, Bui T, Collomosse J, Ponti MA. Scene designer: compositional sketch-based image retrieval with contrastive learning and an auxiliary synthesis task [Internet]. Multimedia Tools and Applications. 2023 ; 82( 24): 38117-38139.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s11042-022-14282-0
Trabalho de evento-anais periodico
Analyzing college student dropout risk prediction in real data using walk-forward validation (2023)
Santos, Rodolfo Sanches Saraiva dos ; Ponti, Moacir Antonelli ; Rodrigues, Kamila Rios da Hora
Source: Lecture Notes in Artificial Intelligence. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, ENSINO SUPERIOR, EVASÃO ESCOLAR
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SANTOS, Rodolfo Sanches Saraiva dos e PONTI, Moacir Antonelli e RODRIGUES, Kamila Rios da Hora. Analyzing college student dropout risk prediction in real data using walk-forward validation. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-45368-7_19. Acesso em: 14 nov. 2024. , 2023
APA
Santos, R. S. S. dos, Ponti, M. A., & Rodrigues, K. R. da H. (2023). Analyzing college student dropout risk prediction in real data using walk-forward validation. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-031-45368-7_19
NLM
Santos RSS dos, Ponti MA, Rodrigues KR da H. Analyzing college student dropout risk prediction in real data using walk-forward validation [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 291-305.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_19
Vancouver
Santos RSS dos, Ponti MA, Rodrigues KR da H. Analyzing college student dropout risk prediction in real data using walk-forward validation [Internet]. Lecture Notes in Artificial Intelligence. 2023 ; 14195 291-305.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/978-3-031-45368-7_19
Trabalho de evento
ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion (2023)
Casanova, Edresson ; Shulby, Christopher Dane ; Korolev, Alexander; Candido Junior, Arnaldo ; Soares, Anderson da Silva ; Aluísio, Sandra Maria ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: Annual Conference of the International Speech Communication Association - INTERSPEECH. Unidade: ICMC
Subjects: SÍNTESE DE FALA, PROCESSAMENTO DE LINGUAGEM NATURAL
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CASANOVA, Edresson et al. ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion. 2023, Anais.. Baixas: ISCA, 2023. Disponível em: https://doi.org/10.21437/Interspeech.2023-496. Acesso em: 14 nov. 2024.
APA
Casanova, E., Shulby, C. D., Korolev, A., Candido Junior, A., Soares, A. da S., Aluísio, S. M., & Ponti, M. A. (2023). ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion. In Proceedings. Baixas: ISCA. doi:10.21437/Interspeech.2023-496
NLM
Casanova E, Shulby CD, Korolev A, Candido Junior A, Soares A da S, Aluísio SM, Ponti MA. ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion [Internet]. Proceedings. 2023 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.21437/Interspeech.2023-496
Vancouver
Casanova E, Shulby CD, Korolev A, Candido Junior A, Soares A da S, Aluísio SM, Ponti MA. ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion [Internet]. Proceedings. 2023 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.21437/Interspeech.2023-496
Artigo de periodico
A classification and quantification approach to generate features in soundscape ecology using neural networks (2022)
Dias, Fabio Felix ; Ponti, Moacir Antonelli ; Minghim, Rosane
Source: Neural Computing and Applications. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, ACÚSTICA, MONITORAMENTO AMBIENTAL, PÁSSAROS, ANURA
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DIAS, Fabio Felix e PONTI, Moacir Antonelli e MINGHIM, Rosane. A classification and quantification approach to generate features in soundscape ecology using neural networks. Neural Computing and Applications, v. 34, n. 3, p. 1923-1937, 2022Tradução . . Disponível em: https://doi.org/10.1007/s00521-021-06501-w. Acesso em: 14 nov. 2024.
APA
Dias, F. F., Ponti, M. A., & Minghim, R. (2022). A classification and quantification approach to generate features in soundscape ecology using neural networks. Neural Computing and Applications, 34( 3), 1923-1937. doi:10.1007/s00521-021-06501-w
NLM
Dias FF, Ponti MA, Minghim R. A classification and quantification approach to generate features in soundscape ecology using neural networks [Internet]. Neural Computing and Applications. 2022 ; 34( 3): 1923-1937.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s00521-021-06501-w
Vancouver
Dias FF, Ponti MA, Minghim R. A classification and quantification approach to generate features in soundscape ecology using neural networks [Internet]. Neural Computing and Applications. 2022 ; 34( 3): 1923-1937.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/s00521-021-06501-w
Trabalho de evento
Evasão universitária e estratégias para retenção de alunos com base em intervenções remotas (2022)
Santos, Rodolfo Sanches Saraiva dos ; Ponti, Moacir Antonelli ; Rodrigues, Kamila Rios da Hora
Source: Anais Estendidos. Conference titles: Simpósio Brasileiro de Fatores Humanos em Sistemas Computacionais - IHC. Unidade: ICMC
Subjects: INTERAÇÃO USUÁRIO-COMPUTADOR, EVASÃO ESCOLAR, UNIVERSIDADE PÚBLICA
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ABNT
SANTOS, Rodolfo Sanches Saraiva dos e PONTI, Moacir Antonelli e RODRIGUES, Kamila Rios da Hora. Evasão universitária e estratégias para retenção de alunos com base em intervenções remotas. 2022, Anais.. Porto Alegre: SBC, 2022. Disponível em: https://doi.org/10.5753/ihc_estendido.2022.224849. Acesso em: 14 nov. 2024.
APA
Santos, R. S. S. dos, Ponti, M. A., & Rodrigues, K. R. da H. (2022). Evasão universitária e estratégias para retenção de alunos com base em intervenções remotas. In Anais Estendidos. Porto Alegre: SBC. doi:10.5753/ihc_estendido.2022.224849
NLM
Santos RSS dos, Ponti MA, Rodrigues KR da H. Evasão universitária e estratégias para retenção de alunos com base em intervenções remotas [Internet]. Anais Estendidos. 2022 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.5753/ihc_estendido.2022.224849
Vancouver
Santos RSS dos, Ponti MA, Rodrigues KR da H. Evasão universitária e estratégias para retenção de alunos com base em intervenções remotas [Internet]. Anais Estendidos. 2022 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.5753/ihc_estendido.2022.224849
Trabalho de evento-anais periodico
The use of digital reports to support the visualization and identification of university dropout data (2022)
Santos, Rodolfo Sanches Saraiva dos ; Ponti, Moacir Antonelli ; Rodrigues, Kamila Rios da Hora
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Human-Computer Interaction - HCII. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, EVASÃO ESCOLAR, SAÚDE MENTAL, UNIVERSIDADE PÚBLICA
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ABNT
SANTOS, Rodolfo Sanches Saraiva dos e PONTI, Moacir Antonelli e RODRIGUES, Kamila Rios da Hora. The use of digital reports to support the visualization and identification of university dropout data. Lecture Notes in Computer Science. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-031-06424-1_23. Acesso em: 14 nov. 2024. , 2022
APA
Santos, R. S. S. dos, Ponti, M. A., & Rodrigues, K. R. da H. (2022). The use of digital reports to support the visualization and identification of university dropout data. Lecture Notes in Computer Science. Cham: Springer. doi:10.1007/978-3-031-06424-1_23
NLM
Santos RSS dos, Ponti MA, Rodrigues KR da H. The use of digital reports to support the visualization and identification of university dropout data [Internet]. Lecture Notes in Computer Science. 2022 ; 13305 308-323.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/978-3-031-06424-1_23
Vancouver
Santos RSS dos, Ponti MA, Rodrigues KR da H. The use of digital reports to support the visualization and identification of university dropout data [Internet]. Lecture Notes in Computer Science. 2022 ; 13305 308-323.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/978-3-031-06424-1_23
Trabalho de evento
Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement (2022)
Castro, Augusto Ribeiro ; Grassi Júnior, Valdir ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidades: EESC, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, REDES NEURAIS
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ABNT
CASTRO, Augusto Ribeiro e GRASSI JÚNIOR, Valdir e PONTI, Moacir Antonelli. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement. 2022, Anais.. Lisboa: SciTePress, 2022. Disponível em: https://doi.org/10.5220/0010915300003124. Acesso em: 14 nov. 2024.
APA
Castro, A. R., Grassi Júnior, V., & Ponti, M. A. (2022). Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010915300003124
NLM
Castro AR, Grassi Júnior V, Ponti MA. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement [Internet]. Proceedings. 2022 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.5220/0010915300003124
Vancouver
Castro AR, Grassi Júnior V, Ponti MA. Deep depth completion of low-cost sensor indoor RGB-D using Euclidean distance-based weighted loss and edge-aware refinement [Internet]. Proceedings. 2022 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.5220/0010915300003124
Artigo de periodico
Mapping features and patterns of accelerometry data on human movement in different age groups and associated health problems: a cross-sectional study (2022)
Chiudo, Marcela Martins ; Bet, Patricia ; Costa, Giovana Fondato; Simões, Maria do Socorro Morais Pereira; Ponti, Moacir Antonelli ; Dourado, Victor Zuniga; Castro, Paula Costa
Source: Experimental Gerontology. Unidades: ICMC, BIOENGENHARIA
Subjects: PROCESSAMENTO DE SINAIS, RECONHECIMENTO DE PADRÕES, TECNOLOGIAS DA SAÚDE, MARCHA (LOCOMOÇÃO), FATORES DE RISCO
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ABNT
CHIUDO, Marcela Martins et al. Mapping features and patterns of accelerometry data on human movement in different age groups and associated health problems: a cross-sectional study. Experimental Gerontology, v. 168, p. 1-9, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.exger.2022.111949. Acesso em: 14 nov. 2024.
APA
Chiudo, M. M., Bet, P., Costa, G. F., Simões, M. do S. M. P., Ponti, M. A., Dourado, V. Z., & Castro, P. C. (2022). Mapping features and patterns of accelerometry data on human movement in different age groups and associated health problems: a cross-sectional study. Experimental Gerontology, 168, 1-9. doi:10.1016/j.exger.2022.111949
NLM
Chiudo MM, Bet P, Costa GF, Simões M do SMP, Ponti MA, Dourado VZ, Castro PC. Mapping features and patterns of accelerometry data on human movement in different age groups and associated health problems: a cross-sectional study [Internet]. Experimental Gerontology. 2022 ; 168 1-9.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.exger.2022.111949
Vancouver
Chiudo MM, Bet P, Costa GF, Simões M do SMP, Ponti MA, Dourado VZ, Castro PC. Mapping features and patterns of accelerometry data on human movement in different age groups and associated health problems: a cross-sectional study [Internet]. Experimental Gerontology. 2022 ; 168 1-9.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1016/j.exger.2022.111949
Trabalho de evento-anais periodico
Detecting and mitigating issues in image-based COVID-19 diagnosis (2022)
Silva, João Marcos Cardoso da; Rezende, Pedro Martelleto Bressane; Ponti, Moacir Antonelli
Source: Proceedings of Machine Learning Research : PMLR. Conference titles: International Conference on Machine Learning - ICML. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, DIAGNÓSTICO POR IMAGEM, COVID-19
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ABNT
SILVA, João Marcos Cardoso da e REZENDE, Pedro Martelleto Bressane e PONTI, Moacir Antonelli. Detecting and mitigating issues in image-based COVID-19 diagnosis. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v184/silva22a.html. Acesso em: 14 nov. 2024. , 2022
APA
Silva, J. M. C. da, Rezende, P. M. B., & Ponti, M. A. (2022). Detecting and mitigating issues in image-based COVID-19 diagnosis. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v184/silva22a.html
NLM
Silva JMC da, Rezende PMB, Ponti MA. Detecting and mitigating issues in image-based COVID-19 diagnosis [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 184 127-135.[citado 2024 nov. 14 ] Available from: https://proceedings.mlr.press/v184/silva22a.html
Vancouver
Silva JMC da, Rezende PMB, Ponti MA. Detecting and mitigating issues in image-based COVID-19 diagnosis [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 184 127-135.[citado 2024 nov. 14 ] Available from: https://proceedings.mlr.press/v184/silva22a.html
Trabalho de evento-anais periodico
YourTTS: towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone (2022)
Casanova, Edresson ; Weber, Julian; Shulby, Christopher Dane ; Candido Junior, Arnaldo ; Gölge, Eren; Ponti, Moacir Antonelli
Source: Proceedings of Machine Learning Research : PMLR. Conference titles: International Conference on Machine Learning - ICML. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, RECONHECIMENTO DA FALA, SÍNTESE DE FALA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson et al. YourTTS: towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Disponível em: https://proceedings.mlr.press/v162/casanova22a.html. Acesso em: 14 nov. 2024. , 2022
APA
Casanova, E., Weber, J., Shulby, C. D., Candido Junior, A., Gölge, E., & Ponti, M. A. (2022). YourTTS: towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Recuperado de https://proceedings.mlr.press/v162/casanova22a.html
NLM
Casanova E, Weber J, Shulby CD, Candido Junior A, Gölge E, Ponti MA. YourTTS: towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 162 2709-2720.[citado 2024 nov. 14 ] Available from: https://proceedings.mlr.press/v162/casanova22a.html
Vancouver
Casanova E, Weber J, Shulby CD, Candido Junior A, Gölge E, Ponti MA. YourTTS: towards zero-shot multi-speaker TTS and zero-shot voice conversion for everyone [Internet]. Proceedings of Machine Learning Research : PMLR. 2022 ; 162 2709-2720.[citado 2024 nov. 14 ] Available from: https://proceedings.mlr.press/v162/casanova22a.html
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: 14 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. 14 ] 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. 14 ] 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: 14 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. 14 ] 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. 14 ] Available from: https://doi.org/10.1007/s00521-021-06601-7
Trabalho de evento
SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model (2021)
Casanova, Edresson ; Shulby, Christopher Dane ; Gölge, Eren; Müller, Nicolas Michael; Oliveira, Frederico Santos de; Candido Junior, Arnaldo ; Soares, Anderson da Silva ; Aluísio, Sandra Maria ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: Annual Conference of the International Speech Communication Association - INTERSPEECH. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, REDES NEURAIS, RECONHECIMENTO DE TEXTO, RECONHECIMENTO DE VOZ
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson et al. SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model. 2021, Anais.. Baixas: ISCA, 2021. Disponível em: https://doi.org/10.21437/Interspeech.2021-1774. Acesso em: 14 nov. 2024.
APA
Casanova, E., Shulby, C. D., Gölge, E., Müller, N. M., Oliveira, F. S. de, Candido Junior, A., et al. (2021). SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model. In Proceedings. Baixas: ISCA. doi:10.21437/Interspeech.2021-1774
NLM
Casanova E, Shulby CD, Gölge E, Müller NM, Oliveira FS de, Candido Junior A, Soares A da S, Aluísio SM, Ponti MA. SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.21437/Interspeech.2021-1774
Vancouver
Casanova E, Shulby CD, Gölge E, Müller NM, Oliveira FS de, Candido Junior A, Soares A da S, Aluísio SM, Ponti MA. SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.21437/Interspeech.2021-1774
Trabalho de evento
Training deep networks from zero to hero: avoiding pitfalls and going beyond (2021)
Ponti, Moacir Antonelli ; Santos, Fernando Pereira dos ; Ribeiro, Leo Sampaio Ferraz ; Cavallari, Gabriel Biscaro
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PONTI, Moacir Antonelli et al. Training deep networks from zero to hero: avoiding pitfalls and going beyond. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00011. Acesso em: 14 nov. 2024.
APA
Ponti, M. A., Santos, F. P. dos, Ribeiro, L. S. F., & Cavallari, G. B. (2021). Training deep networks from zero to hero: avoiding pitfalls and going beyond. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI54419.2021.00011
NLM
Ponti MA, Santos FP dos, Ribeiro LSF, Cavallari GB. Training deep networks from zero to hero: avoiding pitfalls and going beyond [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00011
Vancouver
Ponti MA, Santos FP dos, Ribeiro LSF, Cavallari GB. Training deep networks from zero to hero: avoiding pitfalls and going beyond [Internet]. Proceedings. 2021 ;[citado 2024 nov. 14 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00011

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