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Fast sequential floating forward selection applied to emotional speech features estimated on DES and SUSAS data collections.

, and . EUSIPCO, page 1-5. IEEE, (2006)

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Emotional speech recognition: Resources, features, and methods., and . Speech Commun., 48 (9): 1162-1181 (2006)On the Variants of the Self-Organizing Map That Are Based on Order Statistics., , and . ICANN (1), volume 4131 of Lecture Notes in Computer Science, page 425-434. Springer, (2006)Assessment of self-organizing map variants for clustering with application to redistribution of emotional speech patterns., , and . Neurocomputing, 71 (1-3): 147-156 (2007)Identification of Adequate Neurally Adjusted Ventilatory Assist (NAVA) During Systematic Increases in the NAVA Level., , , , and . IEEE Trans. Biomed. Eng., 58 (9): 2598-2606 (2011)Improving speech emotion recognition using adaptive genetic algorithms., , and . EUSIPCO, page 2209-2213. IEEE, (2007)Using Adaptive Genetic Algorithms to Improve Speech Emotion Recognition., , and . MMSP, page 461-464. IEEE, (2007)Fast and accurate sequential floating forward feature selection with the Bayes classifier applied to speech emotion recognition., and . Signal Process., 88 (12): 2956-2970 (2008)An Authoring Tool for Educators to Make Virtual Labs., , , , , , , , , and 4 other author(s). ICL (2), volume 917 of Advances in Intelligent Systems and Computing, page 653-666. Springer, (2018)Fast sequential floating forward selection applied to emotional speech features estimated on DES and SUSAS data collections., and . EUSIPCO, page 1-5. IEEE, (2006)Transforming Your Website to an Augmented Reality View., , and . ISMAR, page 108-111. IEEE Computer Society, (2015)