%0 Journal Article %1 journals/apin/FraccaroliBCL24 %A Fraccaroli, Michele %A Bizzarri, Alice %A Casellati, Paolo %A Lamma, Evelina %D 2024 %J Appl. Intell. %K dblp %N 1 %P 414-427 %T Exploiting CNN's visual explanations to drive anomaly detection. %U http://dblp.uni-trier.de/db/journals/apin/apin54.html#FraccaroliBCL24 %V 54

@article{journals/apin/FraccaroliBCL24, added-at = {2024-03-08T00:00:00.000+0100}, author = {Fraccaroli, Michele and Bizzarri, Alice and Casellati, Paolo and Lamma, Evelina}, biburl = {https://www.bibsonomy.org/bibtex/210242fe70f55ea3e62d965cd55b30839/dblp}, ee = {https://doi.org/10.1007/s10489-023-05177-0}, interhash = {be90f5fa14cf9c8bb5ce4fec14863911}, intrahash = {10242fe70f55ea3e62d965cd55b30839}, journal = {Appl. Intell.}, keywords = {dblp}, month = {January}, number = 1, pages = {414-427}, timestamp = {2024-04-09T02:37:43.000+0200}, title = {Exploiting CNN's visual explanations to drive anomaly detection.}, url = {http://dblp.uni-trier.de/db/journals/apin/apin54.html#FraccaroliBCL24}, volume = 54, year = 2024 }