Using Machine Learning to Quantify the Robustness of Network Controllability

Ashish Dhiman, Peng Sun, Robert E. Kooij. Using Machine Learning to Quantify the Robustness of Network Controllability. In Éric Renault, Selma Boumerdassi, Paul Mühlethaler, editors, Machine Learning for Networking - Third International Conference, MLN 2020, Paris, France, November 24-26, 2020, Revised Selected Papers. Volume 12629 of Lecture Notes in Computer Science, pages 19-39, Springer, 2020. [doi]

@inproceedings{DhimanSK20,
  title = {Using Machine Learning to Quantify the Robustness of Network Controllability},
  author = {Ashish Dhiman and Peng Sun and Robert E. Kooij},
  year = {2020},
  doi = {10.1007/978-3-030-70866-5_2},
  url = {https://doi.org/10.1007/978-3-030-70866-5_2},
  researchr = {https://researchr.org/publication/DhimanSK20},
  cites = {0},
  citedby = {0},
  pages = {19-39},
  booktitle = {Machine Learning for Networking - Third International Conference, MLN 2020, Paris, France, November 24-26, 2020, Revised Selected Papers},
  editor = {Éric Renault and Selma Boumerdassi and Paul Mühlethaler},
  volume = {12629},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-70866-5},
}