An Argumentative Explanation of Machine Learning Outcomes. Bistarelli, S., Mancinelli, A., Santini, F., & Taticchi, C. In Toni, F., Polberg, S., Booth, R., Caminada, M., & Kido, H., editors, Computational Models of Argument - Proceedings of COMMA 2022, Cardiff, Wales, UK, 14-16 September 2022, volume 353, of Frontiers in Artificial Intelligence and Applications, pages 347–348, 2022. IOS Press.
An Argumentative Explanation of Machine Learning Outcomes [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/comma/BistarelliM0T22,
  author       = {Stefano Bistarelli and
                  Alessio Mancinelli and
                  Francesco Santini and
                  Carlo Taticchi},
  editor       = {Francesca Toni and
                  Sylwia Polberg and
                  Richard Booth and
                  Martin Caminada and
                  Hiroyuki Kido},
  title        = {An Argumentative Explanation of Machine Learning Outcomes},
  booktitle    = {Computational Models of Argument - Proceedings of {COMMA} 2022, Cardiff,
                  Wales, UK, 14-16 September 2022},
  series       = {Frontiers in Artificial Intelligence and Applications},
  volume       = {353},
  pages        = {347--348},
  publisher    = {{IOS} Press},
  year         = {2022},
  url          = {https://doi.org/10.3233/FAIA220166},
  doi          = {10.3233/FAIA220166},
  timestamp    = {Mon, 31 Oct 2022 16:49:16 +0100},
  biburl       = {https://dblp.org/rec/conf/comma/BistarelliM0T22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0