A comparative study of loss functions for short-range crime forecasting: enhancing embedding generation for visualization systems (2025)
- Authors:
- USP affiliated authors: NONATO, LUIS GUSTAVO - ICMC ; BELCHIOR, ALINE MARTINS NASCIMENTO - ICMC ; JANUÁRIO, RAISSA ROSA DOS SANTOS - ICMC ; CABRAL, MARVIN MENDES - ICMC
- Unidade: ICMC
- Subjects: ROUBO; VEÍCULOS; PREDIÇÃO; ANÁLISE DE SÉRIES TEMPORAIS
- Language: Inglês
- Objetivos de Desenvolvimento Sustentável (ODS):
16. Paz, justiça e instituições eficazes
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2025
- Source:
- Título: Anais estendidos
- Conference titles: Conference on Graphics, Patterns, and Images - SIBGRAPI
-
ABNT
BELCHIOR, Aline Martins Nascimento et al. A comparative study of loss functions for short-range crime forecasting: enhancing embedding generation for visualization systems. 2025, Anais.. Porto Alegre: SBC, 2025. Disponível em: http://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/38299. Acesso em: 17 mar. 2026. -
APA
Belchior, A. M. N., Januário, R. R. dos S., Cabral, M. M., & Nonato, L. G. (2025). A comparative study of loss functions for short-range crime forecasting: enhancing embedding generation for visualization systems. In Anais estendidos. Porto Alegre: SBC. Recuperado de http://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/38299 -
NLM
Belchior AMN, Januário RR dos S, Cabral MM, Nonato LG. A comparative study of loss functions for short-range crime forecasting: enhancing embedding generation for visualization systems [Internet]. Anais estendidos. 2025 ;[citado 2026 mar. 17 ] Available from: http://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/38299 -
Vancouver
Belchior AMN, Januário RR dos S, Cabral MM, Nonato LG. A comparative study of loss functions for short-range crime forecasting: enhancing embedding generation for visualization systems [Internet]. Anais estendidos. 2025 ;[citado 2026 mar. 17 ] Available from: http://sol.sbc.org.br/index.php/sibgrapi_estendido/article/view/38299 - Modeling and predicting crimes in the city of São Paulo using graph neural networks
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