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Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.

, , , , , and . Comput. Vis. Image Underst., (2021)

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Exploitation of Combined Scalability in Scalable H.264/AVC Bitstreams by Using an MPEG-21 XML-Driven Framework., , , , and . ACIVS, volume 4678 of Lecture Notes in Computer Science, page 699-710. Springer, (2007)SNR Scalability in H.264/AVC Using Data Partitioning., , , , and . PCM, volume 4261 of Lecture Notes in Computer Science, page 329-338. Springer, (2006)AFRESh: an adaptive framework for compression of reads and assembled sequences with random access functionality., , , and . Bioinform., 33 (10): 1464-1472 (2017)SpliceRover: interpretable convolutional neural networks for improved splice site prediction., , , , , and . Bioinform., 34 (24): 4180-4188 (2018)AQUa: an adaptive framework for compression of sequencing quality scores with random access functionality., , , and . Bioinform., 34 (3): 425-433 (2018)Full-Reference Video Quality Metric for Fully Scalable and Mobile SVC Content., , , , and . IEEE Trans. Broadcast., 56 (3): 269-280 (2010)Parallel deblocking filtering in H.264/AVC using multiple CPUs and GPUs., , , , , and . ACM Multimedia, page 1013-1016. ACM, (2012)Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis., , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11599 of SPIE Proceedings, SPIE, (2021)VITEQ: A generic framework for no-reference quality evaluation of video testimonials., , , , and . QoMEX, page 33-34. IEEE, (2012)An Automated End-To-End Pipeline for Fine-Grained Video Annotation using Deep Neural Networks., , , , , and . ICMR, page 409-412. ACM, (2016)