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Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data.

, , , and . IEEE J. Biomed. Health Informatics, 26 (4): 1528-1537 (2022)

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Making sense of randomness: Fast signal recovery from compressive samples., , and . EUSIPCO, page 56-60. IEEE, (2016)Optimized cluster head selection & rotation for cooperative spectrum sensing in Cognitive Radio Networks., and . WOCN, page 1-5. IEEE, (2013)Supervised speech enhancement using compressed sensing., , and . NCC, page 1-5. IEEE, (2015)Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications., , and . IEEE J. Biomed. Health Informatics, 26 (4): 1761-1772 (2022)Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16)., , , , , , , , , and 51 other author(s). CoRR, (2016)Deep-Sparse-Representation-Based Features for Speech Recognition., , and . IEEE ACM Trans. Audio Speech Lang. Process., 25 (11): 2162-2175 (2017)Reducing footprint of unit selection based text-to-speech system using compressed sensing and sparse representation., , , and . Comput. Speech Lang., (2018)Fast exemplar selection algorithm for matrix approximation and representation: A variant oASIS algorithm., , and . ICASSP, page 4436-4440. IEEE, (2017)Radio model for sector coded transmission protocol., and . WOCN, page 1-6. IEEE, (2014)Quantification of figures of merit of 7T and 8T SRAM cells in subthreshold region and their comparison with the conventional 6T SRAM cell., , , , , and . VDAT, page 1-2. IEEE, (2016)