Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness

Mohammadreza Amirian, Lukas Tuggener, Ricardo Chavarriaga, Yvan Putra Satyawan, Frank-Peter Schilling, Friedhelm Schwenker, Thilo Stadelmann. Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness. In Fredrik Heintz, Michela Milano, Barry O'Sullivan, editors, Trustworthy AI - Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Virtual Event, September 4-5, 2020, Revised Selected Papers. Volume 12641 of Lecture Notes in Computer Science, pages 268-275, Springer, 2020. [doi]

@inproceedings{AmirianTCSSSS20,
  title = {Two to Trust: AutoML for Safe Modelling and Interpretable Deep Learning for Robustness},
  author = {Mohammadreza Amirian and Lukas Tuggener and Ricardo Chavarriaga and Yvan Putra Satyawan and Frank-Peter Schilling and Friedhelm Schwenker and Thilo Stadelmann},
  year = {2020},
  doi = {10.1007/978-3-030-73959-1_23},
  url = {https://doi.org/10.1007/978-3-030-73959-1_23},
  researchr = {https://researchr.org/publication/AmirianTCSSSS20},
  cites = {0},
  citedby = {0},
  pages = {268-275},
  booktitle = {Trustworthy AI - Integrating Learning, Optimization and Reasoning - First International Workshop, TAILOR 2020, Virtual Event, September 4-5, 2020, Revised Selected Papers},
  editor = {Fredrik Heintz and Michela Milano and Barry O'Sullivan},
  volume = {12641},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-73959-1},
}