%0 Journal Article %1 abdar2021review %A Abdar, Moloud %A Pourpanah, Farhad %A Hussain, Sadiq %A Rezazadegan, Dana %A Liu, Li %A Ghavamzadeh, Mohammad %A Fieguth, Paul %A Cao, Xiaochun %A Khosravi, Abbas %A Acharya, U Rajendra %A others, %D 2021 %I Elsevier %J Information Fusion %K imported %T A review of uncertainty quantification in deep learning: Techniques, applications and challenges

@article{abdar2021review, added-at = {2022-01-19T10:43:42.000+0100}, author = {Abdar, Moloud and Pourpanah, Farhad and Hussain, Sadiq and Rezazadegan, Dana and Liu, Li and Ghavamzadeh, Mohammad and Fieguth, Paul and Cao, Xiaochun and Khosravi, Abbas and Acharya, U Rajendra and others}, biburl = {https://www.bibsonomy.org/bibtex/279fb7d19053e6fb472a5c76643bb00fd/msteininger}, interhash = {cecc676c62d4d736010c54a40bd70387}, intrahash = {79fb7d19053e6fb472a5c76643bb00fd}, journal = {Information Fusion}, keywords = {imported}, publisher = {Elsevier}, timestamp = {2022-01-19T10:43:42.000+0100}, title = {A review of uncertainty quantification in deep learning: Techniques, applications and challenges}, year = 2021 }