Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper
@inproceedings{skemetrics-xaifin2022,
address = {New York, NY, USA},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {Workshop on Explainable AI in Finance @ICAIF 2022},
doi = {10.48550/arXiv.2211.00238},
keywords = {Explainable artificial intelligence; Symbolic knowledge extraction; Readability metrics; AutoML},
month = {November 2},
scholar = {5021962022669458541},
semanticscholar = {253244189},
title = {Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper},
url = {https://arxiv.org/abs/2211.00238},
urlopenaccess = {https://arxiv.org/abs/2211.00238},
year = 2022
}
address = {New York, NY, USA},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {Workshop on Explainable AI in Finance @ICAIF 2022},
doi = {10.48550/arXiv.2211.00238},
keywords = {Explainable artificial intelligence; Symbolic knowledge extraction; Readability metrics; AutoML},
month = {November 2},
scholar = {5021962022669458541},
semanticscholar = {253244189},
title = {Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper},
url = {https://arxiv.org/abs/2211.00238},
urlopenaccess = {https://arxiv.org/abs/2211.00238},
year = 2022
}