Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance Cardiography of Aortic Dissection

Sascha Ranftl, Gian Marco Melito, Vahid Badeli, Alice Reinbacher-Köstinger, Katrin Ellermann, Wolfgang von der Linden. Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance Cardiography of Aortic Dissection. Entropy, 22(1):58, 2020. [doi]

@article{RanftlMBREL20,
  title = {Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance Cardiography of Aortic Dissection},
  author = {Sascha Ranftl and Gian Marco Melito and Vahid Badeli and Alice Reinbacher-Köstinger and Katrin Ellermann and Wolfgang von der Linden},
  year = {2020},
  doi = {10.3390/e22010058},
  url = {https://doi.org/10.3390/e22010058},
  researchr = {https://researchr.org/publication/RanftlMBREL20},
  cites = {0},
  citedby = {0},
  journal = {Entropy},
  volume = {22},
  number = {1},
  pages = {58},
}