Ensemble of feature-based and deep learning-based classifiers for detection of abnormal heart sounds

By C. Potes, S. Parvaneh, Asif Rahman, Bryan R. Conroy. International Conference on Computing in Cardiology, 2016

343 citations recorded by the source corpus.

Subfields: Issues, ethics and legal aspects, Pulmonary and Respiratory Medicine

View Paper: https://www.semanticscholar.org/paper/d142a78d343cde91a1207bf9a3ac6566cccea309

Citations in the corpus

• Deep Learning on 1-D Biosignals: a Taxonomy-based Survey (2018, neutral): “Nine out of 21 papers used unsupervised learning and deep belief networks to perform detection [54, 66, 68, 72, 82, 94], clustering [84, 85], diagnostics [86], or prediction [96, 108, 109], while the others used supervised learning [63, 74, 76, 79, 80, 89, 92].”