Nemani, Venkat, Biggio, Luca, Huan, Xun, Hu, Zhen, Fink, Olga, Tran, Anh, Wang, Yan, Zhang, Xiaoge, and Hu, Chao. Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial. Retrieved from https://par.nsf.gov/biblio/10493745. Mechanical Systems and Signal Processing 205.C Web. doi:10.1016/j.ymssp.2023.110796.

Nemani, Venkat, Biggio, Luca, Huan, Xun, Hu, Zhen, Fink, Olga, Tran, Anh, Wang, Yan, Zhang, Xiaoge, & Hu, Chao. Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial. Mechanical Systems and Signal Processing, 205 (C). Retrieved from https://par.nsf.gov/biblio/10493745. https://doi.org/10.1016/j.ymssp.2023.110796

Nemani, Venkat, Biggio, Luca, Huan, Xun, Hu, Zhen, Fink, Olga, Tran, Anh, Wang, Yan, Zhang, Xiaoge, and Hu, Chao. "Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial". Mechanical Systems and Signal Processing 205 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.ymssp.2023.110796. https://par.nsf.gov/biblio/10493745.

@article{osti_10493745,
place = {Country unknown/Code not available}, title = {Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial}, url = {https://par.nsf.gov/biblio/10493745}, DOI = {10.1016/j.ymssp.2023.110796}, abstractNote = {}, journal = {Mechanical Systems and Signal Processing}, volume = {205}, number = {C}, publisher = {Elsevier}, author = {Nemani, Venkat and Biggio, Luca and Huan, Xun and Hu, Zhen and Fink, Olga and Tran, Anh and Wang, Yan and Zhang, Xiaoge and Hu, Chao}, }