Learning a Formula of Interpretability to Learn Interpretable Formulas

Marco Virgolin, Andrea De Lorenzo, Eric Medvet, Francesca Randone. Learning a Formula of Interpretability to Learn Interpretable Formulas. In Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang 0025, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann, editors, Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II. Volume 12270 of Lecture Notes in Computer Science, pages 79-93, Springer, 2020. [doi]

@inproceedings{VirgolinLMR20,
  title = {Learning a Formula of Interpretability to Learn Interpretable Formulas},
  author = {Marco Virgolin and Andrea De Lorenzo and Eric Medvet and Francesca Randone},
  year = {2020},
  doi = {10.1007/978-3-030-58115-2_6},
  url = {https://doi.org/10.1007/978-3-030-58115-2_6},
  researchr = {https://researchr.org/publication/VirgolinLMR20},
  cites = {0},
  citedby = {0},
  pages = {79-93},
  booktitle = {Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II},
  editor = {Thomas Bäck and Mike Preuss and André H. Deutz and Hao Wang 0025 and Carola Doerr and Michael T. M. Emmerich and Heike Trautmann},
  volume = {12270},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-58115-2},
}