%0 Journal Article %1 journals/ml/AngiulliFF23 %A Angiulli, Fabrizio %A Fassetti, Fabio %A Ferragina, Luca %D 2023 %J Mach. Learn. %K dblp %N 11 %P 4323-4349 %T $LatentOut$: an unsupervised deep anomaly detection approach exploiting latent space distribution. %U http://dblp.uni-trier.de/db/journals/ml/ml112.html#AngiulliFF23 %V 112

@article{journals/ml/AngiulliFF23, added-at = {2023-11-09T00:00:00.000+0100}, author = {Angiulli, Fabrizio and Fassetti, Fabio and Ferragina, Luca}, biburl = {https://www.bibsonomy.org/bibtex/28109cc3cb64a03ab4dfb55c80236d9a8/dblp}, ee = {https://doi.org/10.1007/s10994-022-06153-4}, interhash = {7cc5aea44d61f118a5e65ecc60fc259c}, intrahash = {8109cc3cb64a03ab4dfb55c80236d9a8}, journal = {Mach. Learn.}, keywords = {dblp}, month = {November}, number = 11, pages = {4323-4349}, timestamp = {2024-04-08T19:26:59.000+0200}, title = {${{\mathrm {Latent}}Out}$: an unsupervised deep anomaly detection approach exploiting latent space distribution.}, url = {http://dblp.uni-trier.de/db/journals/ml/ml112.html#AngiulliFF23}, volume = 112, year = 2023 }