JUAN
DE LA TORRE CRUZ
PROFESOR SUSTITUTO INTERINO
Publicacions (12) Publicacions de JUAN DE LA TORRE CRUZ
2024
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Noise-tolerant NMF-based parallel algorithm for respiratory rate estimation
Journal of Supercomputing, Vol. 80, Núm. 19, pp. 26922-26941
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Respiratory rate estimation applying non-negative matrix partial co-factorization from breath sounds
2024 IEEE 22nd Mediterranean Electrotechnical Conference, MELECON 2024
2023
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An ambient denoising method based on multi-channel non-negative matrix factorization for wheezing detection
Journal of Supercomputing, Vol. 79, Núm. 2, pp. 1571-1591
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Detection of valvular heart diseases combining orthogonal non-negative matrix factorization and convolutional neural networks in PCG signals
Journal of Biomedical Informatics, Vol. 145
2022
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Unsupervised detection and classification of heartbeats using the dissimilarity matrix in PCG signals
Computer Methods and Programs in Biomedicine, Vol. 221
2021
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An incremental algorithm based on multichannel non-negative matrix partial co-factorization for ambient denoising in auscultation
Applied Acoustics, Vol. 182
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Monophonic and Polyphonic Wheezing Classification Based on Constrained Low-Rank Non-Negative Matrix Factorization
Sensors (Basel, Switzerland), Vol. 21, Núm. 5
2020
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A constrained tonal semi-supervised non-negative matrix factorization to classify presence/absence of wheezing in respiratory sounds
Applied Acoustics, Vol. 161
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Combining a recursive approach via non-negative matrix factorization and Gini index sparsity to improve reliable detection of wheezing sounds
Expert Systems with Applications, Vol. 147
2019
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A novel wheezing detection approach based on constrained non-negative matrix factorization
Applied Acoustics, Vol. 148, pp. 276-288
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Source localization using a spatial kernel based covariance model and supervised complex nonnegative matrix factorization
Proceedings of the International Congress on Acoustics
2018
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Wheezing Sound Separation Based on Constrained Non-Negative Matrix Factorization
ACM International Conference Proceeding Series