ReP USP - Resultado da busca

Trabalho de evento
Proxy tasks ensemble for explainable inference in sensitive data (2025)
Ernesto, Clara ; Avila, Sandra ; Caetano, Carlos ; Ribeiro, Leo Sampaio Ferraz
Source: Anais. Conference titles: Conference on Graphics, Patterns, and Images - SIBGRAPI. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, APRENDIZADO COMPUTACIONAL, ABUSO SEXUAL, CRIANÇAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ERNESTO, Clara et al. Proxy tasks ensemble for explainable inference in sensitive data. 2025, Anais.. Porto Alegre: SBC, 2025. Disponível em: https://doi.org/10.5753/sibgrapi.est.2025.38296. Acesso em: 10 fev. 2026.
APA
Ernesto, C., Avila, S., Caetano, C., & Ribeiro, L. S. F. (2025). Proxy tasks ensemble for explainable inference in sensitive data. In Anais. Porto Alegre: SBC. doi:10.5753/sibgrapi.est.2025.38296
NLM
Ernesto C, Avila S, Caetano C, Ribeiro LSF. Proxy tasks ensemble for explainable inference in sensitive data [Internet]. Anais. 2025 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.5753/sibgrapi.est.2025.38296
Vancouver
Ernesto C, Avila S, Caetano C, Ribeiro LSF. Proxy tasks ensemble for explainable inference in sensitive data [Internet]. Anais. 2025 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.5753/sibgrapi.est.2025.38296
Trabalho de evento
Minimizing risk through minimizing model-data interaction: a protocol for relying on proxy tasks when designing child sexual abuse imagery detection models (2025)
Coelho, Thamiris Florindo ; Ribeiro, Leo Sampaio Ferraz ; Macedo, João ; Santos, Jefersson Alex dos ; Avila, Sandra
Source: Proceedings. Conference titles: ACM Conference on Fairness, Accountability, and Transparency - FAccT. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, APRENDIZADO COMPUTACIONAL, ABUSO SEXUAL, CRIANÇAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COELHO, Thamiris Florindo et al. Minimizing risk through minimizing model-data interaction: a protocol for relying on proxy tasks when designing child sexual abuse imagery detection models. 2025, Anais.. New York: ACM, 2025. Disponível em: https://doi.org/10.1145/3715275.3732102. Acesso em: 10 fev. 2026.
APA
Coelho, T. F., Ribeiro, L. S. F., Macedo, J., Santos, J. A. dos, & Avila, S. (2025). Minimizing risk through minimizing model-data interaction: a protocol for relying on proxy tasks when designing child sexual abuse imagery detection models. In Proceedings. New York: ACM. doi:10.1145/3715275.3732102
NLM
Coelho TF, Ribeiro LSF, Macedo J, Santos JA dos, Avila S. Minimizing risk through minimizing model-data interaction: a protocol for relying on proxy tasks when designing child sexual abuse imagery detection models [Internet]. Proceedings. 2025 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1145/3715275.3732102
Vancouver
Coelho TF, Ribeiro LSF, Macedo J, Santos JA dos, Avila S. Minimizing risk through minimizing model-data interaction: a protocol for relying on proxy tasks when designing child sexual abuse imagery detection models [Internet]. Proceedings. 2025 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1145/3715275.3732102
Trabalho de evento
Neglected risks: the disturbing reality of children's images in datasets and the urgent call for accountability (2025)
Caetano, Carlos ; Santos, Gabriel Oliveira dos ; Petrucci, Caio ; Barros, Artur Alves Cavalcante de ; Laranjeira, Camila ; Ribeiro, Leo Sampaio Ferraz ; Mendonça, Júlia Fernandes de ; Santos, Jefersson Alex dos ; Avila, Sandra
Source: Proceedings. Conference titles: ACM Conference on Fairness, Accountability, and Transparency - FAccT. Unidade: ICMC
Subjects: RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE LINGUAGEM NATURAL, CRIANÇAS, ÉTICA, PRIVACIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CAETANO, Carlos et al. Neglected risks: the disturbing reality of children's images in datasets and the urgent call for accountability. 2025, Anais.. New York: ACM, 2025. Disponível em: https://doi.org/10.1145/3715275.3732166. Acesso em: 10 fev. 2026.
APA
Caetano, C., Santos, G. O. dos, Petrucci, C., Barros, A. A. C. de, Laranjeira, C., Ribeiro, L. S. F., et al. (2025). Neglected risks: the disturbing reality of children's images in datasets and the urgent call for accountability. In Proceedings. New York: ACM. doi:10.1145/3715275.3732166
NLM
Caetano C, Santos GO dos, Petrucci C, Barros AAC de, Laranjeira C, Ribeiro LSF, Mendonça JF de, Santos JA dos, Avila S. Neglected risks: the disturbing reality of children's images in datasets and the urgent call for accountability [Internet]. Proceedings. 2025 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1145/3715275.3732166
Vancouver
Caetano C, Santos GO dos, Petrucci C, Barros AAC de, Laranjeira C, Ribeiro LSF, Mendonça JF de, Santos JA dos, Avila S. Neglected risks: the disturbing reality of children's images in datasets and the urgent call for accountability [Internet]. Proceedings. 2025 ;[citado 2026 fev. 10 ] Available from: https://doi.org/10.1145/3715275.3732166
Tese (Doutorado)
Cross Domain Visual Search with Feature Learning using Multi-stream Transformer-based Architectures (2023)
Ribeiro, Leo Sampaio Ferraz; Ponti, Moacir Antonelli (Orientador)
Unidade: ICMC
Subjects: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE SINAIS, PROCESSAMENTO DE IMAGENS, DESENHO, VISÃO COMPUTACIONAL, COMPUTAÇÃO GRÁFICA, RECONHECIMENTO DE IMAGEM
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RIBEIRO, Leo Sampaio Ferraz. Cross Domain Visual Search with Feature Learning using Multi-stream Transformer-based Architectures. 2023. Tese (Doutorado) – Universidade de São Paulo, São Carlos, 2023. Disponível em: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02062023-161527/. Acesso em: 10 fev. 2026.
APA
Ribeiro, L. S. F. (2023). Cross Domain Visual Search with Feature Learning using Multi-stream Transformer-based Architectures (Tese (Doutorado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02062023-161527/
NLM
Ribeiro LSF. Cross Domain Visual Search with Feature Learning using Multi-stream Transformer-based Architectures [Internet]. 2023 ;[citado 2026 fev. 10 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02062023-161527/
Vancouver
Ribeiro LSF. Cross Domain Visual Search with Feature Learning using Multi-stream Transformer-based Architectures [Internet]. 2023 ;[citado 2026 fev. 10 ] Available from: https://www.teses.usp.br/teses/disponiveis/55/55134/tde-02062023-161527/
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
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 10 fev. 2026.
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 2026 fev. 10 ] 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 2026 fev. 10 ] Available from: https://doi.org/10.1007/s11042-022-14282-0

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