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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: 11 dez. 2023.
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 2023 dez. 11 ] 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 2023 dez. 11 ] 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: 11 dez. 2023. , 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 2023 dez. 11 ] 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 2023 dez. 11 ] 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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ABNT
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: 11 dez. 2023.
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 2023 dez. 11 ] 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 2023 dez. 11 ] 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: 11 dez. 2023.
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 2023 dez. 11 ] 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 2023 dez. 11 ] Available from: https://doi.org/10.1007/s00521-021-06501-w
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: 11 dez. 2023. , 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 2023 dez. 11 ] 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 2023 dez. 11 ] 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: 11 dez. 2023.
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 2023 dez. 11 ] 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 2023 dez. 11 ] Available from: https://doi.org/10.5220/0010915300003124
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: 11 dez. 2023.
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 2023 dez. 11 ] 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 2023 dez. 11 ] Available from: https://doi.org/10.5753/ihc_estendido.2022.224849
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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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: 11 dez. 2023.
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 2023 dez. 11 ] 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 2023 dez. 11 ] Available from: https://doi.org/10.1016/j.exger.2022.111949
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
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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: 11 dez. 2023.
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 2023 dez. 11 ] 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 2023 dez. 11 ] Available from: https://doi.org/10.1007/s10579-021-09570-4
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: 11 dez. 2023. , 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 2023 dez. 11 ] 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 2023 dez. 11 ] 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
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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: 11 dez. 2023. , 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 2023 dez. 11 ] 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 2023 dez. 11 ] Available from: https://proceedings.mlr.press/v162/casanova22a.html
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
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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: 11 dez. 2023.
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 2023 dez. 11 ] 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 2023 dez. 11 ] 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
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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: 11 dez. 2023.
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 2023 dez. 11 ] 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 2023 dez. 11 ] 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
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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: 11 dez. 2023.
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 2023 dez. 11 ] 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 2023 dez. 11 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00011
Artigo de periodico
Foreseeing future falls with accelerometer features in active community-dwelling older persons with no recent history of falls (2021)
Bet, Patricia ; Castro, Paula Costa ; Ponti, Moacir Antonelli
Source: Experimental Gerontology. Unidades: ICMC, BIOENGENHARIA
Subjects: PROCESSAMENTO DE SINAIS, RECONHECIMENTO DE PADRÕES, TECNOLOGIAS DA SAÚDE, MARCHA (LOCOMOÇÃO), IDOSOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BET, Patricia e CASTRO, Paula Costa e PONTI, Moacir Antonelli. Foreseeing future falls with accelerometer features in active community-dwelling older persons with no recent history of falls. Experimental Gerontology, v. 143, n. Ja 2021, p. 1-8, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.exger.2020.111139. Acesso em: 11 dez. 2023.
APA
Bet, P., Castro, P. C., & Ponti, M. A. (2021). Foreseeing future falls with accelerometer features in active community-dwelling older persons with no recent history of falls. Experimental Gerontology, 143( Ja 2021), 1-8. doi:10.1016/j.exger.2020.111139
NLM
Bet P, Castro PC, Ponti MA. Foreseeing future falls with accelerometer features in active community-dwelling older persons with no recent history of falls [Internet]. Experimental Gerontology. 2021 ; 143( Ja 2021): 1-8.[citado 2023 dez. 11 ] Available from: https://doi.org/10.1016/j.exger.2020.111139
Vancouver
Bet P, Castro PC, Ponti MA. Foreseeing future falls with accelerometer features in active community-dwelling older persons with no recent history of falls [Internet]. Experimental Gerontology. 2021 ; 143( Ja 2021): 1-8.[citado 2023 dez. 11 ] Available from: https://doi.org/10.1016/j.exger.2020.111139
Trabalho de evento
Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack (2021)
Cavallari, Gabriel Biscaro; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: Conference on Graphics, Patterns and Images - SIBGRAPI. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAVALLARI, Gabriel Biscaro e PONTI, Moacir Antonelli. Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack. 2021, Anais.. Los Alamitos: IEEE, 2021. Disponível em: https://doi.org/10.1109/SIBGRAPI54419.2021.00038. Acesso em: 11 dez. 2023.
APA
Cavallari, G. B., & Ponti, M. A. (2021). Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack. In Proceedings. Los Alamitos: IEEE. doi:10.1109/SIBGRAPI54419.2021.00038
NLM
Cavallari GB, Ponti MA. Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack [Internet]. Proceedings. 2021 ;[citado 2023 dez. 11 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00038
Vancouver
Cavallari GB, Ponti MA. Semi-supervised siamese network using self-supervision under scarce annotation improves class separability and robustness to attack [Internet]. Proceedings. 2021 ;[citado 2023 dez. 11 ] Available from: https://doi.org/10.1109/SIBGRAPI54419.2021.00038
Artigo de periodico
Cattle counting in the wild with geolocated aerial images in large pasture areas (2021)
Soares, Victor Hugo Andrade ; Ponti, Moacir Antonelli ; Gonçalves, Rodrigo Almeida; Campello, Ricardo José Gabrielli Barreto
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: AGRICULTURA DE PRECISÃO, PECUÁRIA, RECONHECIMENTO DE IMAGEM, REDES NEURAIS, AERONAVES NÃO TRIPULADAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOARES, Victor Hugo Andrade et al. Cattle counting in the wild with geolocated aerial images in large pasture areas. Computers and Electronics in Agriculture, v. 189, p. 1-14, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2021.106354. Acesso em: 11 dez. 2023.
APA
Soares, V. H. A., Ponti, M. A., Gonçalves, R. A., & Campello, R. J. G. B. (2021). Cattle counting in the wild with geolocated aerial images in large pasture areas. Computers and Electronics in Agriculture, 189, 1-14. doi:10.1016/j.compag.2021.106354
NLM
Soares VHA, Ponti MA, Gonçalves RA, Campello RJGB. Cattle counting in the wild with geolocated aerial images in large pasture areas [Internet]. Computers and Electronics in Agriculture. 2021 ; 189 1-14.[citado 2023 dez. 11 ] Available from: https://doi.org/10.1016/j.compag.2021.106354
Vancouver
Soares VHA, Ponti MA, Gonçalves RA, Campello RJGB. Cattle counting in the wild with geolocated aerial images in large pasture areas [Internet]. Computers and Electronics in Agriculture. 2021 ; 189 1-14.[citado 2023 dez. 11 ] Available from: https://doi.org/10.1016/j.compag.2021.106354
Artigo de periodico
A visual mining approach to improved multiple-instance learning (2021)
Castelo, Sonia; Ponti, Moacir Antonelli ; Minghim, Rosane
Source: Algorithms. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, MINERAÇÃO DE DADOS, VISUALIZAÇÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASTELO, Sonia e PONTI, Moacir Antonelli e MINGHIM, Rosane. A visual mining approach to improved multiple-instance learning. Algorithms, v. 14, n. 12, p. 1-28, 2021Tradução . . Disponível em: https://doi.org/10.3390/a14120344. Acesso em: 11 dez. 2023.
APA
Castelo, S., Ponti, M. A., & Minghim, R. (2021). A visual mining approach to improved multiple-instance learning. Algorithms, 14( 12), 1-28. doi:10.3390/a14120344
NLM
Castelo S, Ponti MA, Minghim R. A visual mining approach to improved multiple-instance learning [Internet]. Algorithms. 2021 ; 14( 12): 1-28.[citado 2023 dez. 11 ] Available from: https://doi.org/10.3390/a14120344
Vancouver
Castelo S, Ponti MA, Minghim R. A visual mining approach to improved multiple-instance learning [Internet]. Algorithms. 2021 ; 14( 12): 1-28.[citado 2023 dez. 11 ] Available from: https://doi.org/10.3390/a14120344
Trabalho de evento
Transfer learning and data augmentation techniques to the COVID-19 identification tasks in ComParE 2021 (2021)
Casanova, Edresson ; Candido Junior, Arnaldo ; Fernandes Jr, Ricardo Corso; Finger, Marcelo ; Gris, Lucas Rafael Stefanel ; Ponti, Moacir Antonelli ; Silva, Daniel Peixoto Pinto da
Source: Proceedings. Conference titles: Annual Conference of the International Speech Communication Association - INTERSPEECH. Unidades: IME, ICMC
Subjects: LINGUÍSTICA COMPUTACIONAL, PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZAGEM PROFUNDA, REDES NEURAIS, COVID-19
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASANOVA, Edresson et al. Transfer learning and data augmentation techniques to the COVID-19 identification tasks in ComParE 2021. 2021, Anais.. Baixas: ISCA, 2021. Disponível em: https://doi.org/10.21437/Interspeech.2021-1798. Acesso em: 11 dez. 2023.
APA
Casanova, E., Candido Junior, A., Fernandes Jr, R. C., Finger, M., Gris, L. R. S., Ponti, M. A., & Silva, D. P. P. da. (2021). Transfer learning and data augmentation techniques to the COVID-19 identification tasks in ComParE 2021. In Proceedings. Baixas: ISCA. doi:10.21437/Interspeech.2021-1798
NLM
Casanova E, Candido Junior A, Fernandes Jr RC, Finger M, Gris LRS, Ponti MA, Silva DPP da. Transfer learning and data augmentation techniques to the COVID-19 identification tasks in ComParE 2021 [Internet]. Proceedings. 2021 ;[citado 2023 dez. 11 ] Available from: https://doi.org/10.21437/Interspeech.2021-1798
Vancouver
Casanova E, Candido Junior A, Fernandes Jr RC, Finger M, Gris LRS, Ponti MA, Silva DPP da. Transfer learning and data augmentation techniques to the COVID-19 identification tasks in ComParE 2021 [Internet]. Proceedings. 2021 ;[citado 2023 dez. 11 ] Available from: https://doi.org/10.21437/Interspeech.2021-1798
Trabalho de evento
Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos (2021)
Nazaré, Tiago Santana de; Mello, Rodrigo Fernandes de ; Ponti, Moacir Antonelli
Source: Proceedings. Conference titles: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - VISIGRAPP. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE IMAGEM, VÍDEO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAZARÉ, Tiago Santana de e MELLO, Rodrigo Fernandes de e PONTI, Moacir Antonelli. Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos. 2021, Anais.. Lisboa: SciTePress, 2021. Disponível em: https://doi.org/10.5220/0010347907530762. Acesso em: 11 dez. 2023.
APA
Nazaré, T. S. de, Mello, R. F. de, & Ponti, M. A. (2021). Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos. In Proceedings. Lisboa: SciTePress. doi:10.5220/0010347907530762
NLM
Nazaré TS de, Mello RF de, Ponti MA. Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos [Internet]. Proceedings. 2021 ;[citado 2023 dez. 11 ] Available from: https://doi.org/10.5220/0010347907530762
Vancouver
Nazaré TS de, Mello RF de, Ponti MA. Investigating 3D convolutional layers as feature extractors for anomaly detection systems applied to surveillance videos [Internet]. Proceedings. 2021 ;[citado 2023 dez. 11 ] Available from: https://doi.org/10.5220/0010347907530762

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