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The effect of personality trait, age, and gender on the performance of automatic speech valence recognition.

, , and . ACII, page 86-91. IEEE Computer Society, (2017)

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Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems., , , , , and . VTC Spring, page 1-5. IEEE, (2011)Benchmarking classification techniques using the Opportunity human activity dataset., , , , , , and . SMC, page 36-40. IEEE, (2011)Detecting anomalies to improve classification performance in opportunistic sensor networks., , and . PerCom Workshops, page 154-159. IEEE Computer Society, (2011)Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings., , , and . INTERSPEECH, page 3137-3141. ISCA, (2017)Deep Learning-Based Assessment of Facial Periodic Affect in Work-Like Settings., , , , , , , and . ECCV Workshops (5), volume 13805 of Lecture Notes in Computer Science, page 307-322. Springer, (2022)OPPORTUNITY Activity Recognition., , , , and . (June 2012)Multimodal multimodel emotion analysis as linked data., , , , , and . ACII Workshops, page 111-116. IEEE Computer Society, (2017)Exploring the Importance of Individual Differences to the Automatic Estimation of Emotions Induced by Music., , and . AVEC@ACM Multimedia, page 57-63. ACM, (2015)MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis., , , , , , , , , and 16 other author(s). IEEE Trans. Multim., 20 (9): 2454-2465 (2018)Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition., , , and . INTERSPEECH, page 3266-3270. ISCA, (2017)