T-Explainer: a model-agnostic explainability framework based on gradients (2025)
Source: IEEE Intelligent Systems. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, TOMADA DE DECISÃO, BENCHMARKS
ABNT
ORTIGOSSA, Evandro Scudeleti et al. T-Explainer: a model-agnostic explainability framework based on gradients. IEEE Intelligent Systems, 2025Tradução . . Disponível em: https://doi.org/10.1109/MIS.2025.3564330. Acesso em: 22 jun. 2025.APA
Ortigossa, E. S., Dias, F. F., Barr, B., Silva, C. T., & Nonato, L. G. (2025). T-Explainer: a model-agnostic explainability framework based on gradients. IEEE Intelligent Systems. doi:10.1109/MIS.2025.3564330NLM
Ortigossa ES, Dias FF, Barr B, Silva CT, Nonato LG. T-Explainer: a model-agnostic explainability framework based on gradients [Internet]. IEEE Intelligent Systems. 2025 ;[citado 2025 jun. 22 ] Available from: https://doi.org/10.1109/MIS.2025.3564330Vancouver
Ortigossa ES, Dias FF, Barr B, Silva CT, Nonato LG. T-Explainer: a model-agnostic explainability framework based on gradients [Internet]. IEEE Intelligent Systems. 2025 ;[citado 2025 jun. 22 ] Available from: https://doi.org/10.1109/MIS.2025.3564330