Arg-XAI: a Tool for Explaining Machine Learning Results. Bistarelli, S., Mancinelli, A., Santini, F., & Taticchi, C. In Reformat, M. Z., Zhang, D., & Bourbakis, N. G., editors, 34th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2022, Macao, China, October 31 - November 2, 2022, pages 205–212, 2022. IEEE.
Arg-XAI: a Tool for Explaining Machine Learning Results [link]Paper  doi  bibtex   1 download  
@inproceedings{DBLP:conf/ictai/BistarelliMST22,
  author       = {Stefano Bistarelli and
                  Alessio Mancinelli and
                  Francesco Santini and
                  Carlo Taticchi},
  editor       = {Marek Z. Reformat and
                  Du Zhang and
                  Nikolaos G. Bourbakis},
  title        = {Arg-XAI: a Tool for Explaining Machine Learning Results},
  booktitle    = {34th {IEEE} International Conference on Tools with Artificial Intelligence,
                  {ICTAI} 2022, Macao, China, October 31 - November 2, 2022},
  pages        = {205--212},
  publisher    = {{IEEE}},
  year         = {2022},
  url          = {https://doi.org/10.1109/ICTAI56018.2022.00037},
  doi          = {10.1109/ICTAI56018.2022.00037},
  timestamp    = {Tue, 25 Apr 2023 16:51:01 +0200},
  biburl       = {https://dblp.org/rec/conf/ictai/BistarelliMST22.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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