CounterCrime: Using counterfactual explanations to explore crime reduction scenarios (2025)
- Authors:
- Autor USP: NONATO, LUIS GUSTAVO - ICMC
- Unidade: ICMC
- DOI: 10.1109/TVCG.2025.3586202
- Subjects: APRENDIZADO COMPUTACIONAL; CRIMINALIDADE; TOMADA DE DECISÃO; ANÁLISE DE DADOS
- Keywords: Counterfactual Explanations; Crime Analysis; Visual Analytics Tools
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway
- Date published: 2025
- Source:
- Título: IEEE Transactions on Visualization and Computer Graphics
- ISSN: 1077-2626
- Volume/Número/Paginação/Ano: v. 31, n. 10, p. 9008-9023, 2025
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by
-
ABNT
RAIMUNDO, Marcos M et al. CounterCrime: Using counterfactual explanations to explore crime reduction scenarios. IEEE Transactions on Visualization and Computer Graphics, v. 31, n. 10, p. 9008-9023, 2025Tradução . . Disponível em: https://doi.org/10.1109/TVCG.2025.3586202. Acesso em: 12 jan. 2026. -
APA
Raimundo, M. M., Garcia-Zanabria, G., Nonato, L. G., & Poco, J. (2025). CounterCrime: Using counterfactual explanations to explore crime reduction scenarios. IEEE Transactions on Visualization and Computer Graphics, 31( 10), 9008-9023. doi:10.1109/TVCG.2025.3586202 -
NLM
Raimundo MM, Garcia-Zanabria G, Nonato LG, Poco J. CounterCrime: Using counterfactual explanations to explore crime reduction scenarios [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2025 ; 31( 10): 9008-9023.[citado 2026 jan. 12 ] Available from: https://doi.org/10.1109/TVCG.2025.3586202 -
Vancouver
Raimundo MM, Garcia-Zanabria G, Nonato LG, Poco J. CounterCrime: Using counterfactual explanations to explore crime reduction scenarios [Internet]. IEEE Transactions on Visualization and Computer Graphics. 2025 ; 31( 10): 9008-9023.[citado 2026 jan. 12 ] Available from: https://doi.org/10.1109/TVCG.2025.3586202 - Explainable NLLP: advancements in explainable AI for natural legal language processing
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Informações sobre o DOI: 10.1109/TVCG.2025.3586202 (Fonte: oaDOI API)
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