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Leveraging Explainability methods in Spectral Domain for Data Augmentation and efficient training of CNN classifiers for Covid-19 Detection.

, , , , and . IPTA, page 1-6. IEEE, (2023)

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DroidDivesDeep: Android Malware Classification via Low Level Monitorable Features with Deep Neural Networks., , , , , and . ISEA-ISAP, volume 939 of Communications in Computer and Information Science, page 125-139. Springer, (2018)EspyDroid+: Precise reflection analysis of android apps., , , , , , and . Comput. Secur., (2020)Landmarks Detection by Applying Deep Networks., , , and . MAPR, page 1-6. IEEE, (2018)Leveraging Explainability methods in Spectral Domain for Data Augmentation and efficient training of CNN classifiers for Covid-19 Detection., , , , and . IPTA, page 1-6. IEEE, (2023)Downsampling Attack on Automatic Speaker Authentication System., , , and . AICCSA, page 1-7. IEEE, (2021)Distributed Training from Multi-sourced Data., , and . AINA (2), volume 450 of Lecture Notes in Networks and Systems, page 339-347. Springer, (2022)Counting in one-hop beeping networks., , , and . Theor. Comput. Sci., (2019)Whac-A-Mole: Smart node positioning in clone attack in wireless sensor networks., , , , and . Comput. Commun., (2018)Conclusion., and . Multi-faceted Deep Learning, Springer, (2021)Explaining 3D CNNs for Alzheimer's Disease Classification on sMRI Images with Multiple ROIs., , , and . ICIP, page 284-288. IEEE, (2021)