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Benchmarking classification techniques using the Opportunity human activity dataset., , , , , , и . SMC, стр. 36-40. IEEE, (2011)Dynamic Quantification of Activity Recognition Capabilities in Opportunistic Systems., , , , , и . VTC Spring, стр. 1-5. IEEE, (2011)Detecting anomalies to improve classification performance in opportunistic sensor networks., , и . PerCom Workshops, стр. 154-159. IEEE Computer Society, (2011)Deep Learning-Based Assessment of Facial Periodic Affect in Work-Like Settings., , , , , , , и . ECCV Workshops (5), том 13805 из Lecture Notes in Computer Science, стр. 307-322. Springer, (2022)Multimodal multimodel emotion analysis as linked data., , , , , и . ACII Workshops, стр. 111-116. IEEE Computer Society, (2017)Emotional Speech of Mentally and Physically Disabled Individuals: Introducing the EmotAsS Database and First Findings., , , и . INTERSPEECH, стр. 3137-3141. ISCA, (2017)MixedEmotions: An Open-Source Toolbox for Multimodal Emotion Analysis., , , , , , , , , и 16 other автор(ы). IEEE Trans. Multim., 20 (9): 2454-2465 (2018)Exploring the Importance of Individual Differences to the Automatic Estimation of Emotions Induced by Music., , и . AVEC@ACM Multimedia, стр. 57-63. ACM, (2015)Enhancing Speech-Based Depression Detection Through Gender Dependent Vowel-Level Formant Features., , , и . AIME, том 10259 из Lecture Notes in Computer Science, стр. 209-214. Springer, (2017)Implementing Gender-Dependent Vowel-Level Analysis for Boosting Speech-Based Depression Recognition., , , и . INTERSPEECH, стр. 3266-3270. ISCA, (2017)