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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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Content Based Image Retrieval Using Bag-Of-Regions., , and . MMM, volume 7131 of Lecture Notes in Computer Science, page 507-517. Springer, (2012)Transfer learning with deep networks for saliency prediction in natural video., , and . ICIP, page 1604-1608. IEEE, (2016)Full scheme of MPEG4-like codec based on wavelet transform., , , and . ICASSP, page 4177. IEEE, (2002)Multi-sensing of fragile persons for risk situation detection: devices, methods, challenges., , , and . CBMI, page 1-6. IEEE, (2019)Introduction of Explicit Visual Saliency in Training of Deep CNNs: Application to Architectural Styles Classification., , , and . CBMI, page 1-5. IEEE, (2018)Organizing Cultural Heritage with Deep Features., , , and . SUMAC @ ACM Multimedia, page 55-59. ACM, (2019)Spatio-temporal segmentation of image sequences for object-oriented low bit-rate image coding., , and . ICIP, page 406-409. IEEE Computer Society, (1995)On the stability, correctness and plausibility of visual explanation methods based on feature importance., , , , , , and . CBMI, page 119-125. ACM, (2023)Entropy-based Sampling for Streaming learning with Move-to-Data approach on Video., , , , and . CBMI, page 21-27. ACM, (2023)Streaming learning with Move-to-Data approach for image classification., , and . CBMI, page 167-173. ACM, (2022)