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Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features.

, , , and . AIME, volume 10259 of Lecture Notes in Computer Science, page 209-214. Springer, (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)On-line anomaly detection and resilience in classifier ensembles., , , and . Pattern Recognit. Lett., 34 (15): 1916-1927 (2013)Kinect=IMU? Learning MIMO Signal Mappings to Automatically Translate Activity Recognition Systems across Sensor Modalities., , , , , , , , , and . ISWC, page 92-99. IEEE Computer Society, (2012)Enhancing Multilingual Recognition of Emotion in Speech by Language Identification., , , , , and . INTERSPEECH, page 2949-2953. ISCA, (2016)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)Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings., , , and . INTERSPEECH, page 3137-3141. ISCA, (2017)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)