Jordan F. Masakuna, Pierre K. Kafunda, Mardochee L. Kayembe. On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier Outputs. In 25th International Conference on Information Fusion, FUSION 2022, Linköping, Sweden, July 4-7, 2022. pages 1-8, IEEE, 2022. [doi]
@inproceedings{MasakunaKK22,
title = {On the Theoretical Convergence and Error Sensitivity Analysis of Yayambo for Fusion of Probabilistic Classifier Outputs},
author = {Jordan F. Masakuna and Pierre K. Kafunda and Mardochee L. Kayembe},
year = {2022},
url = {https://ieeexplore.ieee.org/document/9841372},
researchr = {https://researchr.org/publication/MasakunaKK22},
cites = {0},
citedby = {0},
pages = {1-8},
booktitle = {25th International Conference on Information Fusion, FUSION 2022, Linköping, Sweden, July 4-7, 2022},
publisher = {IEEE},
isbn = {978-1-7377497-2-1},
}