%0 Conference Paper %1 conf/ipta/GebreamlakABSZ23 %A Gebreamlak, Meaza Eyakem %A Ayyar, Meghna P. %A Benois-Pineau, Jenny %A Salmon, Jean-Pierre %A Zemmari, Akka %B IPTA %D 2023 %I IEEE %K dblp %P 1-6 %T Leveraging Explainability methods in Spectral Domain for Data Augmentation and efficient training of CNN classifiers for Covid-19 Detection. %U http://dblp.uni-trier.de/db/conf/ipta/ipta2023.html#GebreamlakABSZ23 %@ 979-8-3503-2541-6

@inproceedings{conf/ipta/GebreamlakABSZ23, added-at = {2024-02-05T00:00:00.000+0100}, author = {Gebreamlak, Meaza Eyakem and Ayyar, Meghna P. and Benois-Pineau, Jenny and Salmon, Jean-Pierre and Zemmari, Akka}, biburl = {https://www.bibsonomy.org/bibtex/269a851f825a5e1509531b9c032f04008/dblp}, booktitle = {IPTA}, crossref = {conf/ipta/2023}, ee = {https://doi.org/10.1109/IPTA59101.2023.10320061}, interhash = {4fdda2ac5e2ea8f539ca2aee85870317}, intrahash = {69a851f825a5e1509531b9c032f04008}, isbn = {979-8-3503-2541-6}, keywords = {dblp}, pages = {1-6}, publisher = {IEEE}, timestamp = {2024-04-09T12:47:24.000+0200}, title = {Leveraging Explainability methods in Spectral Domain for Data Augmentation and efficient training of CNN classifiers for Covid-19 Detection.}, url = {http://dblp.uni-trier.de/db/conf/ipta/ipta2023.html#GebreamlakABSZ23}, year = 2023 }