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Do we really need a segmentation step in heart sound classification algorithms?, , , , , and . EMBC, page 286-289. IEEE, (2021)Using Soft Attention Mechanisms to Classify Heart Sounds., , , , , and . EMBC, page 6669-6672. IEEE, (2019)The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification., , , , , , , , , and 5 other author(s). IEEE J. Biomed. Health Informatics, 26 (6): 2524-2535 (2022)Can Multi-channel Heart Sounds Analysis improve Murmur Detection?, , , , and . BHI, page 1-4. IEEE, (2022)The robustness of Random Forest and Support Vector Machine Algorithms to a Faulty Heart Sound Segmentation., , , , and . EMBC, page 1989-1992. IEEE, (2022)The CirCor DigiScope Dataset: From Murmur Detection to Murmur Classification., , , , , , , , , and 5 other author(s). CoRR, (2021)Segmentation and Optimal Region Selection of Physiological Signals using Deep Neural Networks and Combinatorial Optimization., , , and . CoRR, (2020)Heart Sounds Classification Using Images from Wavelet Transformation., , , , and . EPIA (1), volume 11804 of Lecture Notes in Computer Science, page 311-322. Springer, (2019)Classifying Heart Sounds Using Images of Motifs, MFCC and Temporal Features., , , and . J. Medical Systems, 43 (6): 168:1-168:13 (2019)Classifying Heart Sounds Using Images of MFCC and Temporal Features., , and . EPIA, volume 10423 of Lecture Notes in Computer Science, page 186-203. Springer, (2017)