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Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions.

, , , , , and . INTERSPEECH, page 105-109. ISCA, (2015)

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Effects of Audio Compression in Automatic Detection of Voice Pathologies., , , , , and . IEEE Trans. Biomed. Eng., 55 (12): 2831-2835 (2008)Nonlinear Dynamics for Hypernasality Detection., , , , , and . NOLISP, volume 7015 of Lecture Notes in Computer Science, page 207-214. Springer, (2011)Time Dependent ARMA for Automatic Recognition of Fear-Type Emotions in Speech., , , , , and . TSD, volume 9302 of Lecture Notes in Computer Science, page 96-104. Springer, (2015)Automatic Detection of Hypernasality in Children., , , , and . IWINAC (2), volume 6687 of Lecture Notes in Computer Science, page 167-174. Springer, (2011)Multi-labeler Analysis for Bi-class Problems Based on Soft-Margin Support Vector Machines., , , and . IWINAC (1), volume 7930 of Lecture Notes in Computer Science, page 274-282. Springer, (2013)Automatic GRBAS assessment using complexity measures and a multiclass GMM-based detector., , , , and . MAVEBA, page 111-114. Firenze University Press / ISCA, (2011)Artificial Intelligence applied to chest X-Ray images for the automatic detection of COVID-19. A thoughtful evaluation approach., , , and . CoRR, (2020)A multi-class extension for multi-labeler support vector machines., , , and . ESANN, (2014)Automatic Feature Selection in the SOPFs Dissolution Profiles Prediction Problem., , , and . BIOINFORMATICS, page 52-58. SciTePress, (2017)New Cues in Low-Frequency of Speech for Automatic Detection of Parkinson's Disease., , , , , and . IWINAC (1), volume 7930 of Lecture Notes in Computer Science, page 283-292. Springer, (2013)