Are Artificial Intelligence Models Listening Like Cardiologists? Bridging the Gap Between Artificial Intelligence and Clinical Reasoning in Heart-Sound Classification Using Explainable Artificial Intelligence. [PDF]
Alrabie S, Barnawi A.
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Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies. [PDF]
Hosseinzadeh M +10 more
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Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification. [PDF]
Crisdayanti IAPA +3 more
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ESC-NAS: Environment Sound Classification Using Hardware-Aware Neural Architecture Search for the Edge. [PDF]
Ranmal D +4 more
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Towards the Development of the Clinical Decision Support System for the Identification of Respiration Diseases via Lung Sound Classification Using 1D-CNN. [PDF]
Ali SW +7 more
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[A study on heart sound classification algorithm based on improved Mel-frequency cepstrum coefficient feature extraction and deep Transformer]. [PDF]
Meng X, Zhang S.
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Coherent Feature Extraction with Swarm Intelligence Based Hybrid Adaboost Weighted ELM Classification for Snoring Sound Classification. [PDF]
Prabhakar SK, Rajaguru H, Won DO.
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A Comparative Study of Preprocessing and Model Compression Techniques in Deep Learning for Forest Sound Classification. [PDF]
Paranayapa T +4 more
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[A lung sound classification model with a spatial and channel reconstruction convolutional module]. [PDF]
Ye N, Wu C, Jiang J.
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[Heart sound classification algorithm based on bispectral feature extraction and convolutional neural networks]. [PDF]
Peng L, Quan H.
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